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Where PPC and SEO teams lose control in branded search by Bluepear

April 28, 2026/0 Comments/in Search Engine Land, Web Design News/by Dubado Solutions

Branded search is often treated as predictable and easy to manage. In practice, it isn’t.

PPC teams see rising CPC on brand terms. SEO teams see declining branded CTR, even when rankings hold. These issues are usually investigated separately, with different dashboards, hypotheses, and fixes.

Both signals often stem from changes within a single SERP. What look like two separate problems are, in reality, one shared environment reacting to shifts in competition and visibility.

The issue isn’t a lack of data. Most teams already have basic reports and brand monitoring tools, including PPC and SEO platforms. The problem is how the data is used.

To understand what’s happening in branded search, teams must manually piece signals together. This takes time, doesn’t scale, and delays decisions.

Here’s why that fragmentation is harmful and what to do about it.

What’s actually happening in branded search

Branded search is often described in terms of channels — paid and organic. For users, that distinction doesn’t exist.

A single SERP brings together multiple layers:

PPC ads
Competitor ads or comparison pages
Organic results, including brand-owned pages
Affiliate listings promoting the same brand
Review platforms and aggregators

All of these elements appear at once, within the same decision-making space.

From a SERP analysis perspective, this isn’t a set of isolated placements. It’s a dynamic environment where each element influences the others. A competitor ad above your organic result can reduce CTR. An affiliate listing can compete with your paid campaign. A review page can shift user intent before a click.

In practice, this creates a mismatch.

For users, branded search is a single page. Inside the company, it’s split across workflows and handled by different functions.

PPC focuses on bids and efficiency. SEO focuses on rankings and organic traffic. Affiliate activity is often tracked separately, if at all. Competitor tracking may exist, but usually within a single channel. The result is a fragmented view of what is, in practice, a shared space.

Understanding what’s happening in branded search often requires manual effort. The data is there, but building a complete, up-to-date view of the SERP on a regular basis is time-consuming and hard to scale. That makes it difficult to understand how these elements interact — and even harder to respond to changes as they happen.

What PPC teams see (and often miss)

From a PPC perspective, teams focus on these signals:

Brand CPC starts to rise.
More players appear in the auction.
Branded campaigns become less efficient over time.

At first glance, this suggests increased competition. The typical response is to adjust bids, defend impression share, or refine targeting. All of it makes sense within paid media.

But this is where context changes everything.

What PPC teams don’t always see is who’s driving that competition.

Not every new entrant in the auction is a direct competitor. Often, it’s affiliate activity — partners bidding on branded terms outside agreed-upon rules. Without deeper competitor tracking, these cases can look identical while requiring different actions.

There’s also the organic layer. Changes in SERP structure — more ads, different layouts, stronger third-party rankings — can directly affect paid performance. Even if the campaign setup stays the same, the environment shifts. Without ongoing SERP analysis, these changes are easy to miss.

In many cases, brands aren’t just competing with others — they’re competing with themselves. Over 40% of advertised pages already rank #1 organically (Ahrefs, 2025).

PPC teams rarely see the full page in context. They see auction data, metrics, and reports — but not always how their ads appear alongside organic results, affiliates, and other placements in real time.

But beyond missing context, there’s a more practical limitation.

Ad platform reporting rarely explains what changed. It shows performance shifts — but not how the SERP looked to users, who appeared alongside the ad, or how placements were arranged.

This creates a gap.

Competitor tracking without context doesn’t explain the situation — it only signals change. Without broader SERP-level brand monitoring, PPC teams often optimize on partial visibility, reacting to symptoms while the root cause must be reconstructed manually.

What SEO teams see (and often miss)

From the SEO side, branded search issues tend to surface differently.

The most common signals look like this:

Branded CTR starts to decline.
Rankings remain stable, often still in top positions.
SERP appearance shifts — new elements, richer features, or different page layouts.

On the surface, it looks like an SEO problem. The natural response is to review snippets, adjust metadata, or check for technical or content issues.

But in many cases, performance drops aren’t driven solely by SEO factors.

SEO teams generally know that paid activity, competitors, and affiliates can influence branded search. The challenge isn’t awareness — it’s consistent visibility over time.

To understand what changed, teams need to see how the SERP looked at a specific moment:

Which ads appeared and where.
Whether competitors or affiliates were present.
How organic results were positioned in context.

This isn’t what standard SEO workflows are built for. Teams often have to manually check results, compare snapshots across tools, or rely on incomplete data.

Then there’s the SERP itself. Modern branded SERPs aren’t static. Layout changes, added modules, and mixed result types can significantly affect click behavior.

Without consistent SERP analysis, it’s hard to isolate the cause. As a result, SEO teams may keep optimizing — and see no stable results.

Why PPC and SEO issues are actually connected

At a glance, PPC and SEO issues in branded search may look unrelated — different metrics, dashboards, and teams. But when you look at the SERP as a whole, the connection is hard to ignore.

Studies show this overlap isn’t an edge case. Nearly 38% of websites advertise on keywords where they already rank in the top 10 organically (Ahrefs, 2025). In branded search, the overlap is even higher.

That means both channels operate in the same environment — and compete for the same user attention.

Changes within that environment rarely affect just one side:

Increased ad presence can push organic listings lower or draw clicks away.
Aggressive bidding (from competitors or affiliates) can raise CPC while also reducing organic search visibility.
New entrants in the SERP can affect both paid efficiency and organic CTR simultaneously.

In this context, it’s not unusual for PPC performance to decline while SEO metrics shift in parallel. These aren’t isolated issues — they’re different reflections of the same underlying change. Yet they’re rarely analyzed together.

The real problem isn’t visibility — it’s fragmentation.

Most teams already have access to data. Specialized tools make SERP analysis, competitor tracking, and brand monitoring possible. The limitation isn’t what can be seen, but how it’s used.

PPC and SEO operate in separate systems — different platforms and reporting environments, KPIs, and workflows. To understand what changed in branded search, teams must align manually by comparing reports, checking SERPs, validating assumptions, and sharing findings across functions.

As a result, insights are delayed, alignment lags behind SERP changes, and decisions are made with incomplete or outdated context.

How to improve branded search performance

Most teams don’t miss the signals — a spike in CPC, a drop in CTR, unexpected competitors in the auction. These changes rarely go unnoticed. The challenge comes next: confirming what happened and deciding how to respond.

This is where branded search performance slows. Teams dig through separate reports, trying to reconstruct what the SERP looked like at a specific moment. By the time the picture is clear — if it ever is — the window to react has already passed.

Improving performance here isn’t about adding more data. It’s about changing how it’s collected and used.

With the right setup, SERP analysis becomes continuous instead of manual. Changes in branded search are captured automatically, including competitor and affiliate activity that might otherwise require manual checks, post-fact validation, or go unnoticed.

Tools for branded search monitoring such as Bluepear provide:

Unified look on SERP in a specific moment.
Automated alerts when meaningful changes occur.
Pre-collected, timestamped evidence that removes the need to manually gather screenshots or reconstruct past states.

Instead of spending time collecting screenshots, comparing reports, and reconstructing what happened, the information is already structured.

This shifts the process from reactive to operational. Instead of investigating issues after the fact, teams receive a clear signal or a complete case.

This creates a reliable record of what actually happened:

When a new player entered the SERP.
How placements shifted over time.
Where potential violations or conflicts appeared.

Instead of scattered evidence and manual reconstruction, teams get structured, ready-to-use context.

Reporting becomes simpler. Insights can be shared across PPC, SEO, and affiliate teams without rebuilding context each time, reducing internal alignment time. Most importantly, decisions can be made faster.

With Bluepear, brand monitoring and competitor tracking become continuous. Teams receive structured signals instead of raw fragments and can act without rebuilding the situation from scratch.

To see how Bluepear can improve your workflow, create an account and start your free trial.

Final takeaways

PPC and SEO teams don’t lack data — they interpret different signals from the same SERP. But these signals are connected. They’re shaped by the same changes in the search environment, even if they appear in different reports.

When SERP analysis is fragmented, it’s harder to see the full picture — and even harder to act quickly.

What makes the difference is not more data, but better coordination:

Continuous brand monitoring instead of occasional checks.
Shared visibility across PPC, SEO, and affiliate teams.
A consistent view of the SERP, not separate channel reports.

When branded search is managed holistically, teams don’t just react to performance changes — they understand what drives them and respond with clarity.

To simplify how your team tracks and responds to branded search changes, start using Bluepear to automate monitoring, capture SERP changes, and centralize evidence in one place.

Read more at Read More

Ginny Marvin on AI in search, PPC trends, and Google Ads evolution

April 27, 2026/0 Comments/in Search Engine Land, Web Design News/by Dubado Solutions

Watch this video on YouTube

Ginny Marvin didn’t get into PPC because she had a grand plan.

She got into it because she was ready to start again.

After years working in print publishing and ad sales marketing, Marvin found herself at a career pivot point. A startup magazine she had helped launch folded, and she decided it was time to move fully into digital.

That meant going from marketing director to entry-level applicant.

“I don’t know what I’m doing, so I’ll start from the beginning,” she recalled.

That reset eventually led her into search marketing, Search Engine Land, and later Google, where she is now Google Ads Liaison.

In this interview, Marvin looks back at how paid search has changed, what marketers still misunderstand, and why the next phase of search will reward curiosity more than control.

PPC clicked faster than SEO

Marvin started on the SEO side at a small agency.

Then the paid search manager went on holiday.

She took over the campaigns temporarily — and immediately saw the appeal.

Coming from print, where measurement was slow or sometimes impossible, PPC felt almost instant. You could launch, spend, measure and see action quickly.

That speed changed everything.

For Marvin, PPC made the connection between marketing activity and business results much clearer than SEO did at the time.

Google won by moving faster

When Marvin entered the industry, Google wasn’t the only serious search player.

Yahoo was still a major force, and Microsoft was part of the mix. But over time, Google pulled ahead.

Marvin believes the difference was focus.

Google kept improving the product, launching new features and iterating faster than competitors. It became increasingly clear that Google was building around advertiser needs and pushing the industry forward.

Early PPC was painfully manual

Today’s PPC marketers may complain about manual work, but the early days were on another level.

Campaigns were built around huge keyword lists, endless permutations and highly granular structures. Advertisers spent hours creating keyword combinations and negative keyword lists.

It gave marketers a sense of control, but it also forced them to build campaigns around how the platform worked — not necessarily how the business worked.

That, Marvin said, is one of the biggest changes in paid search: campaigns now start more naturally with goals.

Search Engine Land became the industry’s newsroom

When Search Engine Land launched, Marvin was still early in her search career.

But it quickly became the place people went for search news, updates and expert analysis.

What made it valuable wasn’t just the reporting. It was the mix of fast news, contributed columns and practical insight from people doing the work.

For Marvin, Search Engine Land played a major role in professional growth across the industry because it made knowledge easier to share.

The search community has always been different

One thing Marvin repeatedly came back to was the generosity of the search community.

From the early days, practitioners shared what they were testing, what worked, what failed and what others should watch for.

That culture of learning helped define the industry.

It also shaped Marvin’s own career, both as a journalist at Search Engine Land and now in her role at Google.

AI is not as new as people think

Marvin believes one of the biggest misconceptions about AI in search is that it suddenly appeared.

Machine learning has been part of Google Ads for years, powering changes such as close variants, Smart Bidding and automation.

What changed recently was the speed of progress driven by large language models.

AI did not arrive overnight. But LLMs accelerated the shift dramatically.

Consumer behaviour is changing search

For Marvin, the biggest change is not just what Google can do.

It is how people search.

Queries are getting longer and more complex. People are searching through images, voice and multimodal inputs. Search can now understand intent without relying only on typed keywords.

That means advertisers need to think beyond the final conversion moment and understand the full customer journey.

Success still means business outcomes

Marvin does not think the definition of success in search has changed.

It still comes down to business outcomes.

What has changed is marketers’ ability to measure those outcomes and connect campaign activity to business goals.

That makes data, measurement and first-party signals more important than ever.

The next 20 years will reward curiosity

When asked what kind of marketer will succeed in the next phase of search, Marvin pointed to curiosity.

The best advertisers will be those who keep learning, watch how customers behave and adapt before they are forced to.

She compared it to mobile, where consumers moved faster than advertisers did.

The same thing is happening with AI.

PPC marketers say they love change — until it happens

Marvin’s reality check for the industry was simple.

PPC marketers often say they love change, but many resist every major shift when it arrives.

Her advice is to take a longer view.

Many of the changes that feel sudden have actually been building for years. Automation, AI, broader intent matching and full-funnel campaigns have all been moving in this direction for a long time.

Her advice: start experimenting

Marvin’s message is not that every new feature will work immediately.

It is that marketers should not write things off forever because they tested them once months or years ago.

Platforms evolve quickly. Capabilities improve. What failed before may work differently now.

For advertisers still holding tightly to old ways of working, the next phase of search will be harder.

What she is proudest of

Looking back, Marvin said she is proud of the search community itself.

Its willingness to share, learn and support each other has made the industry stronger.

She also sees her role, both at Search Engine Land and Google, as being a resource for marketers.

As she put it, communicating “by marketers, for marketers” has always mattered.

Read more at Read More

Pete Bowen talks about why Google Ads is not just about clicks

April 27, 2026/0 Comments/in Search Engine Land, Web Design News/by Dubado Solutions

Watch this video on YouTube

On PPC Live The Podcast, I spoke with Peter Bowen, a Google Ads specialist with nearly 20 years of experience and a strong focus on B2B lead generation.

Pete shared two major lessons from his career: always check the basics, and never assume the systems around your ads are working just because the campaigns look fine.

The currency mistake that cost 10 times the budget

Pete Bowen shared an early mistake where a South African client’s account was set up in the UK, defaulting the currency to pounds instead of rand. That simple oversight led to spending roughly 10 times the intended budget, delivering great results at first — but ultimately setting unrealistic expectations and losing the client.

Why checklists protect PPC teams

The takeaway from that mistake was to formalise learning into process. Adding something as simple as a currency check to a setup checklist ensures that once a mistake is made, it doesn’t happen again — turning painful lessons into repeatable safeguards.

The bigger problem: system decay

Beyond setup errors, Pete highlighted a more subtle but common issue he calls “system decay” — where the infrastructure connecting ads, tracking tools, CRMs and sales processes gradually breaks down without anyone noticing.

Why conversion data failures hurt performance

When conversion data stops flowing properly, Google’s algorithms lose the feedback they rely on to optimise. This can lead to reduced spend, poor performance or campaigns that suddenly stop delivering — even if nothing appears wrong inside the platform.

PPC managers need to look beyond the interface

One of the biggest mistakes advertisers make is focusing only on what happens inside Google Ads. Strong performance depends on the entire journey, from click to conversion to revenue, and any break in that chain can undermine results.

What to do when conversion tracking breaks

When tracking fails, the priority is to fix the root issue quickly and, where possible, use data exclusions to prevent bad data from influencing optimisation. Longer term, building monitoring systems that flag issues early is essential to avoid repeat problems.

The danger of optimising for clicks

Pete also pointed to a common but damaging mistake: optimising campaigns for clicks rather than outcomes. Without proper conversion tracking, advertisers can end up driving large volumes of traffic that never turn into leads or sales.

Why Performance Max needs strong tracking

Automation like Performance Max can amplify this issue, as it will follow whatever signals it receives. Without accurate conversion data, it can scale irrelevant traffic quickly, making strong tracking a prerequisite before leaning into automation.

Why bid strategies need guardrails

Google’s bidding systems are powerful but literal — they optimise toward whatever you define as success. That means advertisers need clear goals, reliable data and sensible guardrails, such as CPC limits, to avoid extreme or inefficient outcomes.

Testing AI features carefully

With newer tools like AI Max, the risk isn’t testing too early — it’s testing without a clear definition of success. Metrics like impressions and clicks are not enough; advertisers need to measure impact on qualified leads, sales and revenue.

The problem with “always be testing”

Peter also challenged the idea that everything should be constantly tested. Many accounts simply don’t have enough data to make small tests meaningful, meaning time is often better spent improving fundamentals rather than chasing marginal gains.

The key takeaway

The overarching lesson is straightforward: mistakes are part of the process, but only if they lead to better systems. Every error should result in a checklist, a monitoring process or a safeguard — ensuring it doesn’t happen again.

Read more at Read More

How to Build Location Pages That Rank, Convert, and Get Cited

April 26, 2026/0 Comments/in Web Design News/by Dubado Solutions

Most location pages fail for one of two reasons: They’re too thin (just an address and phone number) or too generic (the same template with city names swapped out).

Google sees through both. So does ChatGPT.

But here’s what a good location page can do:

Rank in organic search
Link from your Google Business Profile (GBP)
Get cited in AI answers
Serve as a landing page for ads
Convert visitors into leads

One page, five jobs.

Most location pages do none of this.

They just sit there. Technically live, technically indexed, technically doing nothing.

I’ve built location pages for HVAC companies, electricians, painters, funeral homes, and more across dozens of markets.

The ones that rank fast — sometimes within 48 hours — aren’t longer or stuffed with more keywords.

They’re built for how customers actually interact with that business.

In this guide, I’ll show you exactly how to build location pages that work for your business model. Whether you have 3 locations or 300, physical storefronts or service areas.

You’ll get two plug-and-play templates, ranking tactics, and strategies for showing up when someone asks an AI “best [your service] in [city].”

Two Types of Location Pages (and When You Need Each)

Before you build anything, you need to know which type of location page you’re creating.

Get this wrong, and you’ll confuse users, Google, and AI systems.

For example: A bank branch in Philadelphia needs a completely different page than an HVAC company serving Philadelphia from 30 miles away.

Take Bank of America’s Philadelphia branch.

The page shows exactly what someone needs to visit: full address, hours, parking, what to expect when they walk in.

Bank of America – Financial centers Philadelphia

Now compare that to Sila, an HVAC company serving Southeastern Pennsylvania.

They don’t have an office in Philadelphia. But their page proves they cover the area and gives customers confidence to call them.

Physical Location Pages

Creating location-specific pages is how you convert local searches to foot traffic.

What it is: A page for a place customers actually visit
Examples: Bank branches, retail stores, medical offices, restaurants, walk-in clinics
User intent: Directions, hours, parking, what to expect when they arrive
Key signal: You have a real address where customers walk in

Merit Dental’s Sandusky location shows exactly what visitors need: address, hours, map, and a photo of the actual building.

Everything invites you to visit.

Service Area Pages

Service area pages are how you dominate search in 50 towns without opening 50 offices.

What it is: A page for a geographic area you serve, but don’t have a physical presence in
Examples:
- Mobile/field services: HVAC, plumbing, electrical, painting
- Brick-and-mortar with regional draw: Chiropractors, dentists, urgent care
User intent: Proof you serve their area, credibility, why they should choose you
Key signal: You want visibility in this area but have no physical address there

Infinity Roofer travels to customers across the Denver metro, so their service area page focuses on building credibility through local expertise (mentioning “Denver’s infamous hailstorms”).

Note: Neighborhood pages (e.g., “Electrician in South Philadelphia”) are a more granular version of service area pages. Same approach, tighter geographic focus.

But service area pages aren’t just for businesses that come to you.

Brick-and-mortar locations should use them too when they draw customers from surrounding towns.

For example, Centre for Healing Arts is based in Limerick, Pennsylvania. But they created this service area page for Pottstown, just 7 miles away.

How They Work Together

Many businesses need both.

For example:

McCafferty Funeral & Cremation Inc. has two physical offices: Philadelphia and New Hope, Pennsylvania.

They also serve families in surrounding communities like Lambertville, New Jersey (just 2 miles from their New Hope location).

They need physical location pages for their two offices and service area pages for nearby towns like Lambertville where they don’t have a physical presence.

To make this structure work, link them strategically.

Service area pages link to your nearest physical location. Physical location pages link out to the service areas they cover.

This creates a clear hierarchy for users and search engines.

How to Make Your Location Pages Perform

Whether you’re optimizing for organic rankings, AI citations, paid traffic, or conversions, the same core principles apply.

Match Searcher Intent

Does your page match what someone searching “[service] in [city]” actually wants?

Physical location searchers are often looking for logistics. Hours, directions, parking, what to expect when they visit.

Grand Central Bakery – Multnomah Village

Service area searchers want proof you serve their region and reasons to choose you.

Mismatch = bounce.

Add Real Local Value (Not Just City Name Swaps)

This is where most location landing pages fail.

Swapping city names isn’t unique. Google knows.

Check out these near-identical pages from an HVAC company in Tucson, Arizona.

Real local value means neighborhood-specific details, regional challenges, and local expertise you can’t copy-paste.

For example, Wade Paint Co’s Sullivan’s Island house painting page includes FAQs about historic preservation requirements.

These are concerns unique to this barrier island’s homes.

Or Bill Joplin’s Plano HVAC page, which discusses how Plano’s climate and types of homes affect system sizing.

Details only someone actually working in that market would know.

Right-Size Your Content Depth

Not every location page needs 2,000 words.

But major purchases like home remodeling, medical procedures, or legal services typically require extensive information.

Why?

Because customers are investing significant time and money.

Check out this service area page from Assembly Squad Remodeling, a bathroom contractor.

It addresses different Chicago building types, the specific challenges of each, even pricing ranges for various project scopes.

Assembly Service IL – Bathroom remodeling Chicago

Low-consideration pages can be leaner. Like this laundromat location page in Indianapolis, Indiana.

Consideration isn’t the only factor in determining page depth.

Competitive markets require more content to differentiate. Less competitive markets can get away with less.

So, match your page’s depth to what the decision actually requires.

Consider Authority

Domain authority matters, but it’s not everything.

I’ve ranked service area pages on domains with Authority Scores (AS) of 20-30 in as little as 48 hours.

Sometimes, in even less time.

With even lower Authority Scores.

Domain Overview – Rapid Air HVAC – Authority Score

How?

I focused on building pages around searcher intent.

In my experience, a well-built location page on a smaller site can beat a thin page on a high-authority domain.

Like how this local painting company is outranking CertaPro Painters, a national franchise. As well as Yelp.

Structure for AI and Search Engines

Schema markup is table stakes. You need LocalBusiness, FAQPage, and Review at minimum.

Google – Rich Results Test – Schema items

Scannable sections with descriptive headings help crawlers, AI systems, and humans find what they need fast.

Optimize for Each Channel

The core factors above apply everywhere. But each channel rewards certain elements more than others.

Organic Rankings

The more comprehensive your content, the better it ranks.

Answer questions competitors ignore. Address objections before users have to ask.

You still need keywords, too. Naturally integrated in your title, headings, and body content.

Just don’t stuff “[city] [service]” in every sentence:

Local backlinks to that specific location page signal you’re actually relevant to that area.

Get mentioned by local chambers, news sites, neighborhood blogs, industry directories.

Real images make a difference, too.

Photos of your actual location, your team, or projects you’ve completed.

Stock photos just won’t cut it.

AI Citations

When someone asks Google AI Mode, ChatGPT, or Perplexity for local recommendations, will your business show up?

Third-party “best of” features increase your citation chances significantly.

When you’re mentioned on local roundups, listicles, or “top 10” posts, AI systems are more likely to reference you. They trust these aggregated sources.

Comparison tables also make it easy for AI to pull and cite your content.

Format your information so it’s scannable. Pricing breakdowns, service comparisons, coverage areas. AI loves data it can parse quickly.

FAQ sections with clear question headers work because large language models (LLMs) are trained in part on Q&A content.

Write your questions the way people actually ask them. Then, answer them directly.

Orange Pestaz – Apache Junction spider control

Structure your content the way these systems are trained to consume information, and you’re more likely to get cited.

Experiment: What AI actually cites for local queries

I tested 30 “best [service] in [city]” queries across Google AI Mode, ChatGPT, and Perplexity. Then, cataloged every source in their citation panels — 725 citations total.

Each platform told a completely different story.

What AI platforms cite for local business queries

Google AI Mode leaned heavily on Yelp listings (32%) and Reddit threads (30%). Community discussions and review platforms drove the majority of its citations.

ChatGPT favored editorial “best of” lists more than any other platform — 22% of its citations came from third-party roundups. Getting featured in a local magazine’s “Top 10” list matters here.

Perplexity was the outlier. It cited business websites directly 73% of the time — including location pages. Strong site content gets found.

The takeaway: each platform pulls from a different layer of the web.

Yelp profiles and Reddit mentions for Google AI Mode. Editorial roundups for ChatGPT. Your own site for Perplexity.[/largequote]

Paid Landing Pages

If you’re running Google Ads for local services, your location pages make perfect landing pages.

But only if you get the messaging right.

Your ad says “24/7 Emergency Plumber in Orange County”?

That exact promise needs to be the first thing someone sees when they land on the page.

Not buried in the third paragraph. Not implied. Right there in the headline.

Cyclone Plumbing USA – Emergency plumber in Orange County

When your landing page headline matches your ad copy, Google sees a better user experience.

That improves your Quality Score and lowers your cost per click (CPC).

Specificity matters too.

If your ad targets “Landscaping Denver,” don’t send them to a service area page for all of Colorado.

Send them to your Denver-specific page with Denver details, Denver reviews, Denver project photos.

Bottom line: Generic landing pages bleed money. Location-specific ones convert higher and cost less.

Pro tip: The goal here isn’t just to rank — it’s to take up as much search engine results page (SERP) real estate as possible.

With the right setup, your brand can appear three times in a single SERP: your GBP in the map pack, your location page in organic results, and your PPC ad at the top (all using that same location page).

When someone sees your brand multiple times on the same SERP, you get instant credibility. And, it can boost your click-through rates (CTRs).

Most businesses treat these as separate channels. Smart ones use location pages to connect them all.

Template 1: Physical Location Page

Use this template when customers come to you: a storefront, office, branch, restaurant, or clinic they physically visit.

Core Modules

Hero section (business name, location, primary CTA, contact form)
Address & directions (full address, embedded map, parking/accessibility details)
Hours of operation
What to expect when you visit
Services offered at this location
Photos of the location (interior, exterior, team, waiting area)
Credibility & trust signals (industry associations, BBB accreditation, certifications)
Special offers for this location
Reviews & testimonials (prioritize from customers who actually visited this location)
Links to other physical locations
Contact info & CTA

Depth Modules

These separate pages that rank from pages that don’t.

Competitive markets and high-stakes services (medical, legal, home remodeling) need most or all of these. Less competitive markets can use fewer.

Hyperlocal Content

This is where you show you actually operate in this neighborhood.

Talk about the area’s vibe, nearby landmarks people know, and transit options.

Cover parking situations and accessibility details customers care about.

The goal is to paint a picture of what it’s like to visit you here — with details only someone who actually works in this neighborhood would know.

Extended FAQs

Go beyond the basics like hours and directions.

Answer questions about the visit itself: “Is there parking?” “How long is the wait?” “Can I walk in or do I need an appointment?”

Experience Chiropractic – What to expect

Address common queries about payment options: “What insurance do you accept?” “Do you offer payment plans?”

Include neighborhood-specific questions like “Are you near [landmark]?” or “Do you serve customers from [adjacent area]?”

Structure these FAQs with clear question headers so AI systems can parse and cite them easily.

Team/Staff

If customers interact with specific staff at this location, introduce them.

Not generic corporate bios. Actual people who work here. Headshots, credentials, specialties.

For professional services like medical, legal, and financial, this builds significant trust.

Community Involvement

If you sponsor local teams, partner with neighborhood businesses, or support area charities, highlight it here.

“We proudly sponsor the South Charleston Little League” proves you’re part of the community, not just operating there for profit.

Template 2: Service Area Page

Use this template when you serve an area but don’t have a physical presence there.

This covers both:

Mobile services (you go to customers)
Brick-and-mortar businesses drawing from surrounding towns (they come to you, but your office isn’t in their area).

Core Modules

Hero section (service + location, primary CTA, contact form)
Services offered in this area
Special offers for this area
Photos showing your work in this area (or team working in similar neighborhoods)
Credibility & trust signals (industry associations, certifications, years serving this area)
Reviews & testimonials (prioritize reviews from customers in this specific area)
Link to nearest physical location (if applicable “We’re based 15 minutes away in [city]”)
Contact info & CTA

Depth Modules

Here’s how you build a service area page that actually competes. The more competitive your market, the more of these modules you’ll need.

Hyperlocal Content

Show you actually understand this area’s unique challenges.

Maybe you’re a pest control company that can speak intelligently about termite pressure zones in the Southeast.

Or, a pool service that addresses the hard water issues Arizona homeowners deal with constantly.

The more specific you get about problems only someone working in this market would recognize, the harder you are to compete with.

Previous Work in Area

Prove you actually serve this geography with specifics.

We’ve completed 180+ pool installations in Scottsdale over the last 4 years.”

Then, add examples. “Last summer we built three saltwater pools in the DC Ranch community during that record-breaking heat wave.”

Before/after photos from local projects work here, too. Real numbers and real examples beat vague claims every time.

Extended FAQs

Service area pages need to answer two types of questions: Can you actually help me, and do you understand what makes my area different?

Answer service logistics questions like “Do you service [specific neighborhood]?” or “How quickly can you get here?”

Address technical questions tied to local conditions like “Do I need a permit for AC replacement in [city]?” or “What foundation issues are common in this area?”

Write your questions the way people actually ask them. Then, answer them directly.

Scaling for Enterprise

Everything above works whether you have 5 locations or 500.

But at scale, new challenges emerge.

Lock Down Brand Standards

Centralized templates prevent local teams from going rogue.

Define what’s editable (local details, testimonials, staff bios) versus what’s locked (brand messaging, legal disclaimers, core service descriptions).

Create a style guide specifically for location pages.

Build approval workflows for new pages or major edits so you catch problems before they go live.

Avoid the Duplicate Content Trap

The biggest risk at scale is 50 pages that look identical with city names swapped.

Each page needs genuinely unique content — not just find-and-replace.

Like these examples from Public Storage.

They stay unique by tying each page to real places and explaining the specific storage needs that come with living there.

Audit regularly for pages that are too similar. Remember that thin pages hurt your entire domain, not just that one page.

Choose Your Content Team Structure

Centralized teams give you more control and consistency but less local flavor.

Local teams create more authentic, hyperlocal content but are harder to manage for quality.

The hybrid approach usually works best: The central team owns templates and core messaging; local teams add hyperlocal details and testimonials.

Clear ownership prevents pages from going stale.

Connecting Physical Locations to Service Areas

If you have three offices serving 50 towns, your structure matters.

This avoids confusion for users and search engines while signaling which pages matter most.

Build Neighborhood Pages That Don’t Suck

Don’t create neighborhood pages for every ZIP code.

Prioritize competitive markets, areas with genuine search volume, and places where you have real hyperlocal expertise.

Thin neighborhood pages hurt more than they help. Ten strong neighborhood pages beat 100 weak ones.

Audit and Fix Underperformers

Monitor your location pages’ SEO performance to spot underperformers.

Run regular audits for thin content, outdated information, and broken links.

Set a refresh cadence: quarterly reviews at minimum. Kill pages that aren’t earning traffic or conversions.

Set Up Your Production System

Use CMS templates that enforce your structure.

At my agency, we use WordPress with custom templates to ensure consistency across all location pages.

You also want to track all location pages in a spreadsheet or database with URLs, last updated dates, and performance metrics.

Set automated alerts for pages that haven’t been touched in 6+ months.

Programmatic approaches can work if you have genuinely unique data for each page. For example, a brand like Expedia pulling real hotels, prices, and reviews.

But if you’re just swapping city names, you’re creating thin content at scale. In that case, build fewer pages manually with real depth.

Start Small, Scale Smart

Start with one page.

Pick your highest-priority location or service area and build it using the templates above.

Don’t try to launch 50 pages at once.

Get that first page ranking, converting, and getting cited by AI. Then, use it as your model for the rest.

Remember: One well-built location page can do the work of five different marketing assets.

But most businesses will never build pages this detailed. That’s your advantage.

Need help managing location pages at scale?

Our guide to multi-location SEO shows you how to optimize GBPs, track citations, and coordinate review strategies across every location without losing your mind.

The post How to Build Location Pages That Rank, Convert, and Get Cited appeared first on Backlinko.

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7 Steps to Build a Marketing Strategy That Actually Works in 2026

April 26, 2026/0 Comments/in Web Design News/by Dubado Solutions

With all of the platform changes and tech advancements, it’s easy to feel like you’re always a step behind.

Buyers can discover brands in countless ways without ever visiting their website.

Tracking and attribution are becoming murkier, which makes it harder to know what to prioritize.

Everyone is telling you to use AI, or you’re out of business tomorrow.

You constantly need to adapt. And many times, without the data to show whether you’re making the right calls.

The good news is, you don’t need more tactics or fancier tools.

You need structure.

Below, you’ll find a step-by-step framework you can use to build your marketing strategy for 2026.

It doesn’t matter where you’re starting from. These steps will guide you toward a strategy that’s documented and built for sustainable growth.

As you work through each step, use our Marketing Strategy Workbook to capture your decisions as you go.

Step 1: Define Your Primary Business Goals

You can only choose channels, messaging, and KPIs once you know what goal you’re supporting.

Of course, revenue growth is almost always the overarching goal.

But most marketing strategies ladder up to that larger goal by supporting things like:

Demand generation
Brand awareness
Retention or expansion

To define your own primary marketing goal, work through these steps:

Name the real problem marketing needs to solve right now: Is the issue volume? Lead quality? Retention? CAC? Awareness? Be specific.
Choose one primary goal: Over the next 6-12 months, what single outcome should marketing influence most?
Identify 1-2 secondary goals (optional): You can support these goals, but not at the expense of the primary goal.
Turn this into a SMART goal and pressure-test it: Pick a goal that you can measure and achieve in a set amount of time.

Of course, the “right” marketing goal depends on your situation.

Early-stage companies need momentum. Growth-stage teams focus on scalable demand. More mature companies might focus on efficiency, retention, or expansion.

The goal you choose sets the direction for every decision that follows.

Here’s an example:

In 2020, Fireflies.ai launched with a small team and limited marketing budget. They needed to drive user adoption and growth, fast.

So, they chose a strategy that focused on product-led, word-of-mouth growth. One of the best drivers: make it easy and worthwhile to refer new users.

They skipped popular tactics like paid acquisition, brand campaigns, and traditional demand gen funnels.

Why?

Because their resources, product design, and business stage made product-led growth the highest-impact path.

Their goal dictated everything else, including how they tracked success. Fireflies.ai co-founder and CEO Krish Ramineni talked about this. He said success was measured with:

Increased product usage
More users inviting Fireflies’ AI notetaker into their meetings
Organic mentions across the web

With this strategy, they were able to grow to over 10 million users, without ever using paid ads.

Before you choose channels or tactics, you need the same clarity Fireflies had. What outcome does marketing actually need to drive right now?

To go even deeper, answer the questions in Step 1 of our Marketing Strategy Workbook.

Step 2: Pinpoint Your Unique Value Proposition (UVP)

A strong unique value proposition (UVP) answers one question:

Why should someone choose you over the best alternative?

In other words, what makes your business meaningfully different from your competitors?

Here’s how to figure it out:

First, identify and analyze your best customers.

The most obvious candidates are the customers who renew subscriptions or keep purchasing from your brand.

But don’t forget your brand evangelists. Who is out there recommending your products regularly?

Once you’ve built that list, ask yourself:

What do these customers have in common?

Your UVP usually lives where you deliver the most consistent, measurable results.

Tip: Our marketing workbook walks you through more questions to help you identify your UVP.

Next, identify the core outcome. What real-world result do those customers get?

Go beyond the surface-level benefits. Think about what changes in your customers’ daily routine. How does your product affect their daily life? How does it impact their business?

Is it smoother communication? Fewer mistakes? Less stress? Better data? Stronger performance?

Anchor your UVP to a real outcome.

Then, define your defensible difference.

Now ask: what allows you to deliver that outcome better or differently than alternatives?

That could be:

Proprietary data
A specific process
Product architecture
Speed
Category specialization
Pricing structure
Brand trust
Community

Be specific. “Easy to use” and “innovative” don’t count unless you can prove why.

Finally, pressure test your analysis.

Ask yourself: If we disappeared tomorrow, what would our best customers struggle to replace?

That point of friction is your real differentiation. It means your UVP isn’t something interchangeable with any other brand in your industry.

Once you have this, your UVP becomes the baseline for the rest of your marketing strategy. It’s a foundation for your message that shows up over and over again.

Doordash is a great example of this. Their tagline is: “Everything you crave, delivered.”

This simple UVP defines:

The audience state (craving)
Breadth (everything)
Outcome (delivery convenience)

The same story shows up everywhere.

Homepage messaging. App story copy. Email newsletters.

The result of having that solid UVP?

DoorDash reinforces one idea: we’re the easiest way to get what you want, when you want it.

That’s the kind of core benefit you want your audience to remember.

Step 3: Perform Audience Research

Your UVP is your hypothesis.

Now, it’s time to validate it.

We have a full guide to audience research, so save that for later. In the meantime, here are three places to gather information:

Customers
Market perception
Competitors

First, let’s start with customer research.

Your goal: understand what your customers actually care about.

Start with a segment of your customers, ideally the high-value customers you identified in Step 2.

Then, answer these four questions:

What problem consistently pushes them to look for a solution?
What triggers that search?
What objections slow down decisions?
What words do they use to describe the problem?

You don’t need months of research.

Start with even just two or three customer conversations to understand how buyers describe their challenges. Talk to your sales or customer success teams to learn about top objections, misunderstandings, or decision blockers.

Next, dig into the market perception of your brand and industry.

Start with social media research. Search on relevant Reddit threads, skim through YouTube comments, or read reviews on third-party sites.

As real people describe the problems they’re facing, pay attention to the emotional language and repeated frustrations. Learn from the criteria they use to compare similar products.

Conversely, when someone recommends your brand specially, what’s the context?

For example: I searched for mentions of Omnisend in an email marketing subreddit. And I learned that the brand is often brought up in conversations about email marketing for ecommerce brands.

Given Omnisend brands itself as email marketing software for ecommerce, this lines up.

You can also use Semrush’s AI Visibility Toolkit to learn how your brand is perceived by LLMs.

Essentially, Semrush runs AI searches for prompts related to your business and gathers a crowdsourced opinion of your brand.

Because LLMs are informed by how your brand appears across the web, this serves as a useful way to gauge both how your brand is perceived online and what the LLMs specifically are telling your target audience about your brand.

Head to the “Brand Performance” dashboard, then scroll to see “Key Business Drivers” to see the topics your brand is associated with in AI answers.

When I analyzed this data for Omnisend, I found that one of their top drivers is deep ecommerce store integration. Which aligns perfectly with what I saw earlier on Reddit.

When you’ve gathered this data, you can use it to pressure test your UVP from Step 2.

Do customers mention the differentiator you identified?
Do they value the outcome you thought was most important?
Are they choosing you for the reason you expected?

Pro tip: If everything feels perfectly aligned, you probably didn’t dig deep enough. This step should create clarity by surfacing the disconnect between what you want people to know, and what they actually know about your brand. The gap is what you aim to solve with your marketing strategy.

Lastly, competitor research can add another layer to this by telling you what’s already being said in the market.

For example, content marketing agency Animalz paid attention to competitors. They noticed that other agencies were competing for the same SEO-driven keywords.

Meanwhile, their ideal clients — CMOs and founders — cared more about experience-driven insight than traffic volume.

So Animalz leaned into what only they could offer: insights from hundreds of content programs.

They focused on original research, experience-driven frameworks, and thought leadership — not search volume.

The result? Fewer generic visitors, more high-quality leads. According to their homepage, their client list includes the likes of Google, Amazon, Airtable, and Atlassian.

That’s the goal here. Understand the audience. Study the landscape. Then, position yourself where you’re both relevant and differentiated.

By the end of this step, you should be able to clearly state:

The core problem your audience is trying to solve
The trigger that pushes them to act
The language they use
The top objection(s) you must address

That’s enough to inform channel decisions and messaging — without drowning in data.

Step 4: Choose Your Marketing Channels

You can’t reasonably “be everywhere.”

Every channel has different mechanics, expectations, and resource demands. So, choose a small number of channels based on:

Where you audience already spends time
Which channels best support your primary goal
What you can execute consistently with your current resources

Here’s what major channels can look like in practice:

Email marketing: High-ROI channel for nurturing, retention, and revenue expansion. It’s one of the most accessible channels to start with. And data shows consistently high conversion rates (2.8% for B2C and 2.4% for B2B).

HubSpot uses educational newsletters to deliver value first. Then, they naturally route engaged readers toward tools and upgrades.

Search (SEO + AI Optimization): When done well, long-form, evergreen content can drive results that compound over time. The key is to optimize for both traditional SEO ranking and AI summaries. Structure content clearly so it’s understood and surfaced — even in zero-click environments.

NerdWallet does this by publishing structured, comparison-driven guides. These rank in search and appear in AI answers. That builds visibility even when users don’t click.

Google AI Mode – Best savings accounts – Nerdwallet

Further reading: How to Rank in AI Search (New Strategy & Framework).

Social media marketing: Platform-native content is built for discovery and engagement. It requires knowing your audience deeply, and playing into the right trends.

One of the most well-known examples of a brand that does this well is Duolingo. Their TikTok and Instagram content leads with humor. Over the years, it’s built massive awareness without traditional selling.

Affiliate and influencer marketing: Leverage trusted voices to expand reach and credibility.

Glossier does this by partnering with creators. This builds authentic recommendations into growth.

Paid advertising: Best for speed and high-intent capture. Requires budget discipline and clear measurement.

Shopify uses paid search to capture intent from searches like “how to start dropshipping for free”

And this likely pays off, considering Shopify has been bidding on the keyword (and ranking as the top ad) for the past year:

Advertising Research – Shopify – Ad history

Customer and community marketing: Build owned spaces that compound trust and advocacy. It’s a big time lift, but it can pay off in the long run.

Notion supports user-led communities and templates. They’ve built a marketing engine that turns customers into educators and evangelists.

With these channels in mind, it’s time to narrow your focus.

Ask:

Does my audience actively use this channel?
Does this channel support my primary goal directly?
Do we have the skills and resources to execute this well?
Can we sustain this for at least 6-12 months?

Once you’ve committed to 1-2 primary channels, define what success looks like for each one. List the resources you’ll need, and be honest about constraints.

You can use the Marketing Strategy Workbook’s impact vs. effort scoring model to pressure-test your decisions before moving forward.

Step 5: Solidify Your Messaging and Differentiation by Channel

If you just copy-paste your messaging across platforms, it’ll feel out of place. But if you reinvent your story on each channel, your brand will feel fragmented.

This step is about finding the right balance.

For each channel, define:

Which problem you’re emphasizing
What format fits that channel
How your tone and depth should adjust

But your core promise stays intact.

This matters more now than ever because people encounter brands across platforms before they visit your website. On top of that, AI systems look for consistent messaging to help inform their responses to user prompts.

So, how do you build your own channel messaging playbook?

Use our Marketing Strategy Workbook to walk through the main audience problems, content formats, and how your brand should show up on each channel.

If you do this step well, you’ll end up with the right balance of consistency and adaptation.

Duolingo does this really well. Their core story is consistent: learning a language should feel fun, not intimidating.

What changes is how the brand shows up depending on the channel:

On TikTok they’re chaotic, with trend-driven, mascot-heavy humor. That entertainment-first strategy has earned them 17 million followers.

Their Instagram features similar humor, but slightly more polished and adapted to Reels culture.

Their Facebook uses toned-down humor for an older demographic.

And on LinkedIn, the brand keeps a professional tone, but still recognizably Duolingo.

Same brand. Same core message. Different execution.

That’s what you’re aiming for.

By the end of this step, you should be able to say:

What problem each channel focuses on
What format you’ll use
How your tone and depth will adapt — without changing your core message

Step 6: Assign Project Owners and Resources

A marketing strategy only works if someone owns it.

For every primary channel, there should be one person responsible for results. Otherwise, it’s easy for momentum to slide.

Before assigning that owner, do a quick reality check:

How much budget is actually available?
How many hours per week can realistically go toward this?
What skills are missing?
Will you need outside help?

You can use the Marketing Strategy Workbook to keep track of team capacity and resources:

Once you understand the constraints you’re working with, clarify roles using a RACI structure:

Responsible: Who executes the work?
Accountable: Who owns performance?
Consulted: Who provides input?
Informed: Who needs visibility?

Responsible, Accountable, Consulted, Informed

Lastly, don’t let channels operate in silos. SEO should inform paid. Sales objections should shape content. Customer success insights should influence customer marketing tactics. All of these teams would fall into the “consulted” category in our RACI framework.

Cross-team collaboration gives your digital marketing strategy the right foundation to build on.

By the end of this step, your strategy should feel operational, not theoretical.

Step 7: Establish KPIs and a Reporting Plan

KPIs let you get feedback on your marketing strategy’s performance over time. And feedback allows you to improve (without guessing).

The problem is, it’s harder than ever to measure what’s working. Marketing channels don’t always tie back directly to revenue. Some channels influence things that are harder to quantify, like brand awareness, AI visibility, or trust.

Instead of forcing attribution into a neat checklist, track metrics in three layers:

Visibility: Are we being seen?
Engagement: Are people responding (positively)?
Trust and intent: Are signals improving?

For email, you could report on open rates (visibility), clicks (engagement), and conversions (intent).

For social media marketing, you might track metrics like reach (visibility), comments (engagement), or saves (trust).

Of course, most marketers still need to answer one uncomfortable question:

How does this tie back to revenue?

It won’t always be perfect. But you can create stronger connections with a few simple systems.

Use UTM parameters on every campaign link. That way, you can trace traffic and conversions back to specific channels, campaigns, or posts.
Set up goal tracking or conversion events in Google Analytics. See which channels drive form fills, purchases, demo requests, or trials.
Review user paths to understand how people move through your site before converting. Just remember: many buyers interact with multiple channels before taking action, so treat these as a guide, not as a definitive start-to-finish buying journey.
For B2B teams, align with sales on pipeline influence. Even if marketing isn’t the final touchpoint, it often plays an early role in deal creation.

Multi-touch attribution may not be possible from day one. But these steps will give you directional clarity.

If a channel consistently drives qualified traffic, assisted conversions, or branded search growth, it’s contributing to revenue — even if it’s not the last click.

Reporting should tell a story, not just hand out numbers. The idea is to show progress, but also know when you need to pivot.

So, take a deep breath, start small, and scale over time.

If fancy dashboards and complex reporting tools feel like too much, just pick 2-3 metrics per channel. Then, assign a clear reporting owner, and set up a review cadence (probably monthly or quarterly).

This is enough to get started.

Start with small tests to see what actually works in your industry, with your audience. Don’t get distracted by the noise of new tools and trends.

Focus on what’s actually working, and then improve and scale the ideas that work best.

Start Small, Scale Up	Important reminder: You don’t need to track everything perfectly from day one. Here’s a plan to scale reporting over time.
Month 1: Establish baselines	Set up tracking Collect initial data Identify what’s easiest to measure vs. what requires more setup
Months 2-3: Validate what matters	Test small initiatives See what moves the needle Adjust metrics if needed
Months 4+: Optimize and scale	Double down on what’s working Cut or pivot what’s not Refine your reporting process

Every quarter, revisit things like channel performance, KPI relevance, and execution quality.

When this is in place, build a simple feedback loop:

Analyze performance
Dig deeper to understand the patterns
Reprioritize channels and actions
Update your strategy and goals

Use the Marketing Strategy Workbook to run through this feedback loop, and document your insights and decisions. As your data improves, so will your strategy.

Evolve Your Marketing Strategy as You Grow

A marketing strategy is a living thing. That means you can revisit, refine, and strengthen the system over time.

You now have a clear structure with:

A defined goal
A sharp value proposition
Real audience insight
Focused channel priorities
Clear ownership
Measurable KPIs

That clarity makes execution easier.

Your next step is simple: open the Marketing Strategy Workbook and document your decisions.

Fill in what’s missing. Then commit to your top one or two channels and start executing.

Remember: this isn’t your final version. But it’s a starting point you can revisit, refine, and build on as your business evolves.

Once your strategy is defined, the next logical step is going deeper into execution.

If you’re prioritizing organic growth, read our guide to building an SEO strategy next.

The post 7 Steps to Build a Marketing Strategy That Actually Works in 2026 appeared first on Backlinko.

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Best Social Media Management Tools for 2026

April 26, 2026/0 Comments/in Web Design/by Dubado Solutions

Key Takeaways

The best social media tool depends on your goal. Scheduling, analytics, listening, and content creation all require different platforms.
All-in-one tools save time. Platforms like Hootsuite or Sprout Social help manage posting, engagement, and reporting in one place.
Automation improves consistency. Scheduling tools help you stay active without manually posting every day.
Analytics tools drive better decisions. The right platform shows what’s working so you can double down on high-performing content.
Social listening is underrated. Tracking mentions and conversations helps you understand your audience and spot opportunities.
Collaboration features matter for teams. Approval workflows, shared calendars, and role permissions make scaling easier.
Free tools can work, but they have limits. As you grow, paid tools usually offer better insights, automation, and integrations.

Social media is more than just a way to waste time online.

Social media is a big business.

Over 2.7 billion people are active on social networks, which accounts for approximately 37% of the global population.

Here’s how that user base breaks down among the top 7 social networks.

Facebook is by far the biggest.

That’s why I recently made a video about how to grow your Facebook brand.

Facebook isn’t the only channel, though. They’re all vital.

Marketing is important, but we’ll also need to track data to quantify our efforts and keep track with social media trends.

This post is a listing of the most powerful tools to organize, track, and quantify your social media efforts.

We’ll start with the free tools.

Free tools

I’m a big fan of free tools.

The freemium business model is alive and well in social media marketing tools.

While many of these tools have premium plans and features, the free versions are still useful.

I don’t like to spend a lot of money on digital marketing, so I try using the free tools first.

So should you.

Here are the best I’ve come across (in no particular order).

1. Social Mention

Social Mention is a free, web-based app that can track brand mentions across blogs, microblogs, your bookmarks, social media, and more.

Here’s how my website, NeilPatel.com, looks.

Sentiment is a great measurement tool you don’t get by default on social platforms.

My mentions are almost entirely neutral and positive, which is what marketers tend to be interested in.

Negative reviews have a place too, though. Understanding the context of mentions is just one Social Mention stat.

Learn keywords, mention frequency and reach, and more through the API or a custom RSS feed.

2. Hootsuite

Hootsuite is one of the best social media automation tools on the market.

Not only that, but this tool also allows you to customize streams to monitor and search for brand mentions across channels.

This is done by typing the keyword you wish to monitor into the stream or streams you want to monitor it on.

I regularly use Hootsuite to automate social media for clients.

It’s an all-in-one tool for managing and analyzing your social media initiatives.

3. TweetDeck

X has definitely gotten better about data analysis over the years.

You can see your Tweet impressions and interactions relatively easily in the default API.

Still, X acquired TweetDeck in 2011 when it was still Twitter to provide a separate interface option.

Using TweetDeck, you can monitor and administrate multiple accounts from one place.

It also includes power-user features like the ability to sort by and search for hashtags, keywords, trends, favorites, and more.

TweetDeck is the perfect app for agencies or companies that work with multiple X accounts.

It’s exclusive to X, however, and it no longer supports other social networks like Facebook.

4. SumAll

SumAll is one of the most comprehensive cross-platform reporting tools.

The amount of data reporting available is astounding, and you’ll receive regular email digests that track trends automatically.

View your X, LinkedIn, Instagram, and Facebook engagement, reach, audience quality, and more with this handy tool.

This is one of my favorite features.

What’s the point of having a large following if most of them are fake?

SumAll helps you find that out and more.

With daily and weekly email updates, you’ll always know exactly where you stand on social media.

You’ll also be able to track that information historically.

5. Followerwonk

Another tool that focuses entirely on X, Followerwonk, is a tool by Moz to provide deep insights.

The free version can monitor one account, analyze up to 25,000 followers, and compare your account to accounts with up to 150,000 followers.

You’ll have to pay for pro features to download reports, but the free version still provides plenty of power.

With Followerwonk, you can search through X bios, connect with influencers, and more.

It’s best used to help plan, research, and implement social influencer and micro influencer programs.

6. HowSociable

The best feature of HowSociable is the ability to see, at a glance, how you’re doing on each social network.

The visual interface for the free version shows mentions across 12 sites, including Tumblr, YouTube, LinkedIn, Google Plus, Reddit, WordPress, Blogger, and Foursquare.

With a premium account, you’ll be able to view up to 36 platforms.

You’re given a score based on several metrics, and you can check out competitors, too!

I’m clearly lagging most in my Google Plus, LinkedIn, and YouTube accounts. Now I know where to dedicate my resources.

If you need a big-picture social scoreboard, look no further than HowSociable.

7. Klout

Klout is another platform that provides a simple score to show your social media reach.

It also shows what subjects you’re influential in.

Simply log in and connect your X, Facebook, LinkedIn, WordPress, Blogger, and YouTube accounts.

You’ll then be presented with cross-channel measurements of your reach and engagement.

Brands also use Klout to connect to micro-influencers and to schedule social posts.

It’s not the final word in your social reach, but it’s a great barometer.

8. TweetReach

TweetReach is another X-exclusive tool that’s useful for finding out more about your followers and brand mentions.

Check out how my username, @NeilPatel, stacks up.

I reach 481,939 people, nearly twice my actual follower count.

This is useful information to determine how influential your followers are.

You can use this data to guide your influencer programs and to determine who to follow.

It’s a great tool to scout the competition, as well.

9. Crowdfire

Crowdfire is a powerful tool for growing your X and Instagram followings.

Whether online through the web app or on a mobile device, you can analyze your accounts and engage in real time.

Learn what your friends talk about, blacklist or whitelist followers, automate posts, and more.

This robust tool has a simple UI and can be used as your go-to social media reader.

On top of these features, it helps you share relevant content as you browse the web. It even provides suggestions.

Crowdfire is like having your own social media assistant.

10. SocialPilot.co

SocialPilot rivals Hootsuite and Buffer as one of the top social media automation tools around.

The free version lets you connect up to 5 social media profiles. From each of these, you can post up to 10 times per day.

Using one app to post while you’re on the go frees up a lot of space on your mobile device.

Facebook, X, LinkedIn, Google+, Pinterest, Instagram, and Tumblr are supported.

You can also access Pages and Groups on Facebook, LinkedIn, and Google+ — a feature that Hootsuite lacks.

The app team is great about fixing bugs and engaging with the community across social media and the app stores.

Great support makes for a better user experience.

11. Buffer

There are a ton of debates online that compare Buffer versus Hootsuite, and I prefer Buffer simply for its ability to schedule Instagram posts.

It’s also as good as SocialPilot at accessing Facebook, LinkedIn, and Google+ Pages and Groups.

Here’s an interactive guide to connect a Pinterest account to Buffer.

authorize a pinterest account with Buffer

Buffer runs all links through its servers to shorten the URLs. This is an awesome feature for those who don’t like Bit.ly.

It’s an all-in-one social media tool that’s available on desktop and mobile devices.

While it’s more a matter of preference than anything, I prefer Buffer over SocialPilot, as well, in my own personal use.

That’s not to say they don’t both have comparable features.

12. BuzzSumo

BuzzSumo has become my preferred tool for checking out how my blogs (and my competitors’ blogs) perform across the Internet.

It includes a great breakdown of social shares, too.

You’ll need to pay for the premium service to see a deeper breakdown of X users.

It can be invaluable information if you’re not able to scrape it yourself from X’s API or gather it from other free apps.

buzzsumo marketing technology influencers

You can find your page and domain authority, locate your followers, reply to other users, retweet content, and even follow users directly from the UI.

Since blogging fuels a lot of my social content, BuzzSumo has proven invaluable to me.

13. Cyfe

Everyone who knows me knows that I love data. Cyfe has one of the best data-analytics dashboards this side of Google.

It’s even better than Google Analytics because it goes where Google can’t.

Cyfe scans social media for its demographic data.

Customized dashboards show how visitors are coming in from all around the world.

You can track revenue, your marketing funnel, social media, and more.

This business-intelligence dashboard is a game changer for social media marketing. It provides a holistic view of your overall efforts.

I’d even shell out for a premium version of Cyfe.

It’s that good!

14. Postific

Although not as refined as Cyfe, Postific is still worth mentioning.

It’s a great social media data-analytics tool in its own right, specializing more in social media demographics.

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Get breakdowns of likes and shares across Facebook, X, and LinkedIn by demographic.

Use Postific to guide your social media marketing efforts and see what hits and what doesn’t.

15. SharedCount

If you want to see how your URLs are doing on social media, SharedCount is a great place to go.

After signing up for a free account, you’ll be able to access the API and perform up to 1,000 queries per day.

It even exports to CSV so you can import it wherever you’d like.

With a high-level overview, you can see how posts rank on SERPs versus social engagement.

This insight can change the entire course of your content marketing efforts.

16. LastPass

It’s easy to underestimate how many social accounts a marketing agency can have.

Even a single client can have dozens of logins.

Working on a virtual team compounds the problem.

LastPass resolves them.

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With LastPass, you can store and share logins anywhere. No longer will you fumble with whose Facebook or X account you’re posting in.

All your passwords for all your accounts can be stored in one spot.

This also helps when you need to revoke employee accounts after terminating them from your company.

Never underestimate the importance of operational tools in your marketing efforts.

Paid Tools

Sometimes you need more power than the free tools can provide.

Maybe you just need to simplify things, or perhaps your favorite social media tool went paid-only.

These are my favorite paid social media tools if you’re still not finding something you like.

1. Simply Measured

Simply Measured is a great data-analytics tool.

These BI dashboards can track your reach across social networks. It even mines data from Klout.

This team can scrape all your social data and provide valuable insights into how to become a better marketer.

Whether you’re a social marketer, content marketer, or full-service digital agency, Simply Measured takes your analytics further.

Understand facts about the ages, locations, genders, and more about your followers.

Learn the time of day and day of the week when your posts perform best.

Simply Measured is worth the price, although the cost varies.

2. Mention

If you’re hoping to scale your social efforts to an entire team, Mention is a great place to start.

This simple UI monitors brand mentions across the web and social media, providing a ton of personalized insights.

What I love most about Mention are the real-time alerts.

You can use Google Alerts to a certain extent, but they’re often way behind Mention.

I’ll typically find a mention of myself before my Google Alerts do.

Mention beats me to the punch every time. The plans start at $29 per month.

3. Klear.com

Klear is an influencer marketing dashboard that lets you search for and connect with influencers.

You can also use it to see how you rank as an influencer against your followers.

For example, let’s search cycling.

Here we can find the most influential people who are discussing cycling in any country we want to target.

We can also check related keywords like biking, bikes, and cyclists.

From there, we can connect with these influencers and partner with them to promote our brand.

Cool, right?

The cost varies by the number of influencers you want to target.

4. Sentiment

Sentiment metrics help you analyze social performance across channels.

You’ll understand how customers engage with your brand, and you can even publish directly from the dashboard.

Plans start at $250 per month, and this site gives you all the tools necessary to manage a team of 10 social media analysts.

Built-in CRM, SLA, and scheduling tools make Sentiment a valuable asset for marketing agencies.

Even an in-house social marketing team could use it. Sentiment gives managers a way to quantify social media efforts and ROI.

5. ZoomSphere

ZoomSphere has a great graphical interface that reminds me of an amped-up WordPress dashboard.

Color-coded projects, channels, and modules can be created to manage your social efforts within a drag-and-drop interface.

At $400 a month, it’s not cheap, but it’s one of the best social media management tools on the market.

This one-price-fits-all model is great for businesses that overuse other social platforms and end up paying enterprise premiums.

Set up reports, access online and phone customer service, and gain valuable insight into your cross-platform digital marketing efforts.

6. Meltwater

Formerly IceRocket, a free, real-time social search engine, Meltwater provides powerful analytics and insights.

Companies like Johnny Rockets, LogMeIn, and the University of Michigan use it to great success.

Plans are priced according to your specific needs and cover a wide array of social analytics and tracking services.

Real-time analytics are sorted into colorful graphs and charts that make it easy to see exactly where your brand stands online.

You can also view your live feed and interact across social channels in one place.

Meltwater will explain at a glance who’s talking about you, where they’re mentioning you, and how they feel about you.

7. Webhose.io

The Webhose.io API scrapes data feeds all across the web and social media.

If you’re mentioned anywhere from major media to a tiny blog or even a Tweet, Webhose will find it.

This data analytics company is basically selling all the data you can eat!

Hook up a hose and grab as much as you can afford to find the most up-to-date information about any topic.

You may remember Webhose when it was known as Omgili (Oh My God I Love It!).

It was almost as good an Internet portal as Google itself.

Now it’s a paid service that you can use to make sense of data feeds around the Internet.

Don’t underestimate it because your competitors are likely using this type of data already.

FAQs

Which social media tool is best for small teams?

Buffer and Later are strong options for small teams. They’re easy to use, affordable, and focus on scheduling and basic analytics without overwhelming you. If you need more collaboration features, Hootsuite is a step up.

Which social media tool offers the best value?

Buffer gives solid value if you mainly need scheduling. Hootsuite and Sprout Social cost more, but they bundle scheduling, analytics, and engagement tools into one platform. The best value comes down to how many features you’ll actually use.

How many social media tools should a content team use?

Most teams only need two to three tools. One for scheduling (like Buffer or Later), one for analytics or management (like Sprout Social or Hootsuite), and optionally a listening or design tool. More than that usually creates friction.

Should you use an all-in-one tool like Hootsuite or separate tools like Buffer and Later?

All-in-one tools like Hootsuite or Sprout Social work well if you want everything in one place. Separate tools like Buffer and Later are better if you want simplicity or lower costs. Start simple, then upgrade if your needs grow.

What features matter most when choosing a social media tool?

Look at scheduling, analytics, and ease of use first. Tools like Sprout Social and Hootsuite stand out for reporting and team features, while Buffer and Later excel at straightforward scheduling. Pick based on how your team actually works.

Conclusion

Social media is one of the biggest channels for marketing in 2017 and beyond.

Everyone’s on social media, and brands are rushing to reach consumers where they congregate online.

Unfortunately, it can be a difficult task to stay active on so many social feeds.

Digital marketing agencies don’t have it any easier.

An analyst working at an agency could be in charge of dozens of Facebook, X, Instagram, and LinkedIn feeds at any given moment, and need to have the best social media content for each channel.

Keeping track of everything is difficult without the right tools.

I showed you my favorite social media tools. Now show me yours. If you need help choosing a social media agency, my team can help with that too.

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SEO 101: Basics for 2026

April 23, 2026/0 Comments/in Web Design/by Dubado Solutions

Key Takeaways

SEO fundamentals don’t require a lot of technical expertise. Even beginners can get results by starting with keyword research, then building content quality and site structure around what they find.
Strong SEO and AI visibility are built on the same principles. Authoritative content and a clear site structure help you rank in traditional search and get cited in AI-generated answers.
User experience directly affects SEO. Page speed, mobile optimization, and easy navigation are confirmed Google ranking factors.
Links from high-authority sites signal trust to search engines and AI systems alike. Quality always beats quantity when building your backlink profile.

Search engine optimization (SEO) remains one of the most reliable ways to drive consistent, targeted traffic to your site.

That hasn’t changed.

What has changed, though, is the environment in which it operates.

The difference now is that strong SEO doesn’t just help you rank on Google. It positions your content to be cited by the AI systems that increasingly shape what users see first.

This guide covers the SEO basics you need to build a foundation that holds up in both traditional and AI-driven search. If you’re new to SEO or tightening up an existing strategy, this is the right place to start.

SEO stands for search engine optimization. It’s how you get your website to show up when people search for what you offer.

More specifically, it’s the process of improving your site’s performance, authority, and structure to rank higher in search engine results pages (SERPs), including the AI Overviews (AIOs) that now sit at the top of many results pages.

Google search results page showing an AI Overview answer

Google gets more than 80 billion visits every month. That’s a lot of potential customers, but modern digital marketers have to consider more than Google alone.

Social SEO’s potential to reach new customers is off the charts, too. Nearly half of consumers use TikTok as a search engine, and more and more people (Gen Zers, in particular) use social platforms like YouTube and Instagram to find content that answers their questions.

Visibility on those platforms (and in AI systems) follows many of the same principles of traditional SEO: authoritative content, clear structure, and direct relevance to what people are actually asking.

The same is true for AI systems. Well-structured, credible content is what earns citations in AI Overviews and social search alike.

Why Is SEO Important?

AI taking up more SERP real estate doesn’t change the fundamentals of your marketing strategy.

The best way to reach and convert your target audience is to focus on the keywords they’re most likely to search for and the intent behind those searches. Those fundamentals hold true across both traditional blue links and AI-generated answers citing your content.

According to seoClarity’s analysis of 432,000 keywords, 97 percent of AI Overviews cite at least one source from the top 20 organic results, proving ranking well is a reliable path to AI visibility.

If that tells us anything, it’s that ranking well in traditional search and earning visibility in AI-generated answers are built on the same foundation.

That foundation is helpful content built around Google’s experience, expertise, authoritativeness, and trust (E-E-A-T) framework. It applies just as directly to AI visibility as it does to traditional rankings.

The businesses writing off SEO as dead are the ones that will fall behind.

How AI SEO Works

AI SEO shares the same foundation as traditional SEO, but they serve different purposes.

Traditional SEO earns you visibility in organic SERP links. AI SEO earns you citations inside the AI-generated answers that now sit above them.

Here’s how the two compare at a high level:

	Traditional SEO	AI SEO
Primary goal	Rank in organic search results	Get cited in AI-generated answers
Key signals	Keywords, backlinks, on-page optimization	E-E-A-T, brand mentions, structured data, topical authority
Content format	Keyword-optimized, intent-matched	Clear structure and direct answers, ideally in FAQ format
Success metrics	Rankings, organic traffic, click-through rate (CTR)	AI citations, brand mentions, share of voice
Technical foundation	Crawlability, site speed, HTTPS, mobile	Same, plus schema markup and structured data

Strong SEO basics build the infrastructure that AI systems draw on when deciding what to cite.

Nail the basics, and you’re not just competing for blue links. You’re competing for the answer, too.

Setting Yourself Up for SEO Success

Before getting into the SEO basics, make sure you have the right foundations in place.

Your domain name matters more than people think. Something straightforward and related to your business will perform better in search. A .com extension is the gold standard, but .net and .co are solid alternatives.

Your hosting platform is equally important. Choose one that prioritizes security and facilitates fast page loading. Page speed is a confirmed Google ranking factor, and a slow site hurts both your rankings and your users.

A logical site structure helps search engines find and index your pages. It also helps visitors quickly and intuitively navigate to whatever they’re looking for.

Kim's Restaurant website site structure diagram example

You’ll notice Kim’s Restaurant (above) as an example.

The homepage branches into four main category pages: Menu, Locations, Catering, and About. Only one of those categories (Locations) goes a level deeper, with a dedicated page for each neighborhood. Every page has a clear parent, and the structure mirrors how a real user would navigate the site.

None of this needs to be perfect on day one. Jonathan Hoffer, SEO Manager at NP Digital, puts it well:

“Often, when starting an SEO program, perfection is the enemy of starting. Zeroing in on your audience and what they’re searching for can help. The path to the top of the SERPs begins with a single article being published.”

Common SEO Myths

Before going further, it’s worth clearing up a few common SEO misconceptions that tend to trip people up:

SEO produces instant results. It doesn’t. Most strategies take three to six months before you see meaningful movement in rankings.
More keywords mean better rankings. Keyword stuffing actually hurts your rankings. Google rewards relevance and context, not repetition.
You only need to do SEO once. Search is a moving target. Algorithms are always being updated, and competitors are constantly adapting their strategies.
AI has made SEO obsolete. As we covered above, strong SEO is still the most reliable path to both organic and AI visibility.

SEO Subtypes

SEO breaks down into several subtypes. Depending on your target audience and your goals, certain types of SEO will matter more than others. Here’s a quick breakdown:

On-page SEO optimizes the content and HTML elements on individual pages, including keywords, title tags, meta descriptions, and headings. These are foundational elements in ranking for the right queries.
Off-page SEO builds your site’s authority through external signals, primarily backlinks from credible websites. More trust from other sites means more trust from search engines.
Technical SEO optimizes your site’s infrastructure so search engines can crawl and index your content correctly. This covers site speed, mobile-friendliness, HTTPS, and structured data.
Local SEO improves your visibility in location-based searches. It’s critical for brick-and-mortar businesses and service providers targeting customers in specific areas.
International SEO optimizes for audiences in different countries and languages. It’s particularly relevant for brands looking to grow beyond their domestic market.
Social SEO optimizes your presence on social platforms like TikTok and YouTube, which increasingly function as search engines in their own right.

SEO, GEO, and LLMO

AI-powered search tools like ChatGPT and Google’s AI Mode have sparked the creation of two more SEO subtypes: generative engine optimization (GEO) and large language model optimization (LLMO).

GEO focuses on structuring your content so generative AI systems pull from it when composing answers.

LLMO goes a step further, optimizing your brand’s presence across the large language models that power those systems.

The underlying principles closely mirror conventional SEO. Traditional ranking signals like strong E-E-A-T and clean site structure carry weight in GEO and LLMO, just as they do in traditional search.

SEO Basics #1: Keyword Research

Keyword research is the process of identifying the specific words and phrases people use when looking for information on search engines.

For example, a vegan restaurant could use keywords like “vegan restaurant near me” and “best vegan burgers” in its website copy and blog posts to help it rank on the first page of Google.

Good keyword research can reveal:

How many people are searching for a specific keyword or phrase.
The search intent behind those queries. Are people looking for information, or are they ready to buy?
How relevant a keyword is for your target audience and content.
How competitive a keyword is based on what other sites are ranking for it.
Long-tail keywords that surface your audience’s pain points and suggest content topics.

Start by brainstorming relevant topics for your business, then run them through a keyword research tool like Ubersuggest or Semrush. Use what you find to shape your content strategy.

Here’s a look at the keyword opportunities our friends at the vegan burger restaurant might have:

Ubersuggest keyword ideas for vegan burger search terms

Source: https://app.neilpatel.com/en/ubersuggest/keyword_ideas/

Also, remember that search results are always changing. Be sure to revisit your strategy regularly as algorithms and competitors evolve.

Quick Tips for Keyword Research

Brainstorm seed keywords. Start with basic terms relevant to your business and industry, and use those as the foundation for deeper research.
Understand your audience. Identify the exact words and phrases potential customers type when searching for your product or service.
Target long-tail keywords. More specific phrases people use when they’re closer to a buying decision tend to have less competition and higher conversion rates.
Analyze competitor keywords. Look at what your competitors rank for to find gaps and opportunities worth targeting.
Explore related keywords. Identifying terms closely related to your primary keywords helps you avoid keyword cannibalization.
Consider search intent. There are four types: informational (question-based queries), navigational (website- or webpage-specific queries), transactional (product or service queries), and commercial (research-based queries featuring words like “best” or “review”).

SEO Basics #2: Create Effective, Optimized Content

Good content is fundamental to SEO.

Useful content, from articles and infographics to videos and e-books, earns links from other websites. Prospective customers will also see you as a reliable, credible source of information.

Here’s what my colleague Matthew Santos, Chief Product Officer at NP Accel, has to say about content marketing:

“Over the past 20 years, we have seen so many new features come out from Google that have caused SEOs to adopt new tactics, but one constant we have never seen Google move away from is the importance of high-quality content. As we have continued to double down on high-quality content, we have seen thousands of customers over the last five years survive every single one of the major core algorithm updates.”

Regularly creating informative, relevant, and optimized content is one of the primary ways to grow your organic presence. It’s not a guarantee, but it stacks the deck in your favor alongside other SEO best practices.

Add your keywords where they feel natural and relevant. Stuffing keywords into your copy can make it unreadable and much less effective, causing your pages to drop in the rankings.

It also helps to add a key takeaways section at the top and an FAQ section at the bottom of your blogs. Both improve readability for human visitors and make your content significantly easier for LLMs to parse and cite.

Here’s what each looks like in practice:

Key takeaways box example from NP Digital SEO blog

FAQ accordion section from NP Digital SEO blog post

Source: https://neilpatel.com/blog/keyword-cannibalization/

Quick Tips for Content Creation

Brainstorm content ideas based on audience needs. Use your target keywords to generate topics. A plumbing business targeting “how do I fix a sink” could turn that into an article explaining why hiring a professional is better than DIY.
Write clearly and concisely. Provide helpful information and cut the fluff. Use headings, bullet points, and formatting to improve readability and make content skimmable.
Implement E-E-A-T. Write well-researched and accurate content supported by expert quotes. Cite your sources, and build author bio pages that showcase each contributor’s credentials, demonstrating their status as subject-matter experts (SMEs).
Incorporate relevant keywords. Include your target keywords to optimize content for SEO, but always prioritize natural, readable prose over keyword density.
Use proprietary data. First-party statistics and unique insights give AI systems and readers something they can’t find anywhere else.
Try different content formats. Different formats serve different purposes. Infographics, for example, work well for data and case studies build authority, while blog posts drive ongoing organic traffic.
Repurpose and refresh old content. Repurposing your old content is one of the best ways to get the most value from it. For example, long-form content could be compiled into an e-book or published as a newsletter series. Updating dated references, stats, and facts keeps older posts relevant and valuable over time.

SEO Basics #3: Optimize Your Title Tags and Meta Descriptions

Title tags and meta descriptions tell search engines what your site is about, helping them match your pages to the right search queries.

Optimizing them drives more traffic to your site and gives searchers a clearer picture of what you offer. They also directly influence your click-through rate, the percentage of users who see your listing in a SERP and decide to click it.

Title tags signal to visitors what they can expect to read. They should spark curiosity and encourage your audience to go deeper into your content.

Think of meta descriptions as a quick sales pitch. They’re your chance to attract and engage your audience right from the search results page, before they ever reach your site.

Urtopia meta description example in Google search results

Urtopia’s meta description above tells e-bike shoppers exactly what they’ll find before they click. It provides a clear signal that pulls in the right audience and filters out the wrong one.

Quick Tips for Crafting Title Tags and Meta Descriptions

Include relevant keywords. Keywords in title tags and meta descriptions boost your content’s visibility in search results, just as they do in body copy.
Place keywords close to the beginning. Search engines prioritize the most relevant content. Front-loading your keywords sends a clear signal about what the page covers.
Keep them focused and concise. Aim for 150–160 characters in a meta description that conveys the main benefit or unique selling proposition.
Use action-oriented language. Words like “now” and “today” create urgency, while action verbs like “discover” and “learn” can draw readers in.
Test variations. Try different keywords and sentence constructions to see which drives the highest click-through rates.

SEO Basics #4: Focus on User Experience (UX)

User experience (UX) refers to how easily people can use your website and find what they need. It’s one of the most overlooked areas of basic SEO for a website, as it’s consequential for rankings.

A user comes to your site to find a product or information. Your design and visuals can add real value, but they can’t compensate for a slow, confusing, or inaccessible site.

Google knows this.

Page speed and mobile-friendliness are confirmed ranking factors, and ease of navigation sends strong signals about usability, too. A site that frustrates users sends negative signals to search engines, while one that keeps visitors engaged sends positive ones.

According to Google, 53 percent of mobile users will abandon a site that takes longer than three seconds to load, confirming that mobile-friendliness and page speed are non-negotiable UX factors.

A positive user experience keeps visitors on your site longer and encourages them to explore multiple pages. Engaged visitors are also more likely to sign up for a newsletter or download a resource, leaving behind the engagement signals that tell search engines your site is useful.

Quick Tips for Improving UX

Increase site speed. Page speed is one of the most important ranking factors. Compressing images and removing unused plugins or third-party widgets can meaningfully improve load times.
Simplify navigation. Your main menu should be logical and easy to understand. Use submenus or drop-down menus to organize additional pages rather than overwhelming visitors with too many options at once.
Reduce clutter. Too many ads and pop-ups are distracting, particularly on mobile devices.
Provide clear calls to action. Don’t make visitors hunt for a way to schedule an appointment or view a demo. Most won’t stick around long enough to find it.
Make your website accessible. An accessible website means everyone can use it and keeps you compliant with the Americans with Disabilities Act (ADA).

SEO Basics #5: Prioritize Mobile Experience

Mobile devices now account for more than 62 percent of global website traffic, and that number keeps climbing. Catering to mobile users is a must if you want your content to rank.

Google uses a mobile-first approach to indexing, meaning it crawls the mobile version of your website to understand and rank your pages.

A mobile-responsive website is essential. That means designing and coding your site so it automatically adjusts based on the device being used.

One of the best ways to test your mobile performance is Google’s Lighthouse tool for Chrome. It generates a detailed report like the one below, and tells you exactly what to fix.

Google Lighthouse report showing 97 performance score

Quick Tips for Improving Mobile Experience

Design for touch interaction. Larger buttons and clickable elements make it significantly easier to navigate on a small screen.
Keep content concise and scannable. Users reading on phones move fast. Short paragraphs, clear headings, and bullet points help them find what they need quickly.
Streamline forms and checkout processes. Minimize the number of fields and make error messages clear and easy to see on a small screen.
Optimize images for mobile. Large, uncompressed images are among the most common culprits of slow mobile load times. Compress them and use responsive image sizing.
Test across devices. Your site may look fine on one phone and break on another. Regular cross-device testing catches issues before your users do.

SEO Basics #6: Build Links

Backlinks from high-authority, relevant sites send a trust signal to Google. It’s like having somebody vouch for you. The more credible sites that link to yours, the more likely you are to rank well in the SERPs.

For example, here’s the Ubersuggest backlinks report for my own site. I’ve got a strong spread of backlinks across a range of sites, which signals to search engines that my website is a reliable and trustworthy source of information.

Ubersuggest backlinks report for neilpatel.com domain

Source: https://app.neilpatel.com/en/seo_analyzer/backlinks?domain=neilpatel.com&lang=en&locId=2840&mode=domain

AI systems like Google’s AI Overviews and ChatGPT increasingly favor sources with strong third-party credibility. Brand mentions and citations across the web all signal that your content is worth referencing.

Quick Tips for Building Links

Create valuable, educational resources. Original research, comprehensive guides, and data-driven content are the types of assets other sites naturally want to reference and link to.
Fix broken links. Use tools like Ubersuggest’s Site Audit feature to identify broken links on high-authority sites in your niche, then reach out and offer your content as a replacement.
Pursue media requests. Platforms like Connectively (formerly HARO) connect you with journalists looking for expert sources. A single mention in a major publication can earn a high-authority backlink and boost your AI visibility at the same time.
Run a competitive analysis. Identify which sites are linking to your competitors but not to you. Those are warm prospects. If your content is stronger, you have a compelling reason to reach out.

SEO Basics #7: Don’t Neglect Technical SEO

Good content won’t perform if your site has technical issues preventing search engines from finding and understanding it.

Technical SEO is the foundation that makes everything else work.

Without it, even your best content may never get indexed or ranked. Addressing the technical side of your site makes sure search engines can interpret your content and serve it to the right audience.

Tips for Improving Technical SEO

Optimize your site structure. Create a logical, hierarchical structure for your website. This helps both users and search engines navigate easily.
Improve site speed. Use tools like Google PageSpeed Insights to identify and fix issues slowing your site down. Compressing images and leveraging browser caching are good starting points.
Implement SSL. Secure your site with HTTPS. It protects user data and is a confirmed Google ranking factor.
Create and submit a sitemap. Generate an XML sitemap and submit it through Google Search Console. This helps search engines discover and index your pages more efficiently.
Fix broken links. Regularly check for and repair broken links. Tools like Ubersuggest or Screaming Frog can help identify them quickly.
Manage duplicate content. Use canonical tags to indicate the preferred version of a page when similar content exists across multiple URLs.
Optimize your robots.txt file. Make sure to configure your robots.txt file correctly to guide crawlers on which parts of your site to index and which to ignore.
Monitor crawl errors. Check Google Search Console regularly for crawl errors and address them promptly to keep your important pages indexed.

SEO Basics #8: Measure Your Results

Monitoring your SEO strategy’s performance over time lets you make data-driven decisions to improve it and boost your rankings.

Analyzing SEO metrics helps you spot opportunities to replicate high-performing content and catch technical issues that drag your content down.

It also helps you adjust your strategy to ensure you’re producing relevant, keyword-optimized content that targets the right audience. That’s what leads to higher organic traffic and better business outcomes that demonstrate SEO’s value to stakeholders.

With the rise of AI visibility, measurement now goes beyond rankings and clicks. So, you’ll need to monitor your presence in AI systems, too.

Tools like Semrush’s AI Visibility Toolkit and Otterly.ai let you track how often your brand is cited across AI-generated answers on platforms like ChatGPT and Google AI Overviews.

Semrush domain overview showing AI visibility metrics

Source: https://www.tryprofound.com/blog/semrush-ai-visibility-toolkit-review

As AI search continues to grow, brands that measure both traditional SEO performance and AIO or GEO results will have a clearer picture of where they actually stand in search.

Quick Tips for Measuring Results

Define clear key performance indicators (KPIs). Choose the KPIs most relevant to your business that you can act on and improve, including traditional metrics like rankings and CTR, as well as AI visibility signals like citation frequency and share of voice.
Use analytics tools. Good tools to get started include Google Analytics, Google Search Console, and Ubersuggest for traditional SEO. For tracking AI visibility, platforms like Ahrefs Brand Radar and Semrush’s AI Visibility Toolkit are helpful.
Create a regular tracking cadence. Consistent monitoring helps you identify performance changes and uncover new optimization opportunities.
Benchmark your performance. Compare your results against industry standards and competitors to understand where you stand in both traditional search and AI-generated results.
Conduct A/B testing. Test different content variations, keyword approaches, and structural changes to see what performs best across both search and AI platforms.
Act on your results. Tracking your KPIs only matters if you take steps to resolve issues and build on what’s working.

FAQs

What is SEO?

SEO is the process of optimizing your website to increase the chances of it ranking high in search engine results.

It includes a wide range of elements, including keyword research, content creation, backlinks, and mobile responsiveness.

How do I do SEO?

Start by auditing your existing content. Make your pages more readable, add keyword-optimized headings, and create unique title tags and meta descriptions. From there, work through the fundamentals covered in this guide.

What is on-page SEO?

On-page SEO is the process of optimizing the content and HTML elements on individual pages, including keywords, title tags, meta descriptions, and headings, to rank for the right queries.

What is technical SEO?

Technical SEO covers the infrastructure of your site, including speed, mobile-friendliness, crawlability, and structured data, ensuring search engines can find and index your content correctly.

What is local SEO?

Local SEO is the process of optimizing your online presence to appear in location-based searches, which is critical for brick-and-mortar businesses and service providers targeting customers in a specific area.

Conclusion

Modern-day digital marketing is often like trying to fire an arrow at a moving target. Learning the SEO basics makes it much easier to hit the mark, and there’s a lot you can do to boost your rankings, even with limited technical skills.

Start by reviewing your existing content. What can you do to add value to your pages and make it easier for visitors to find what they need?

In today’s SERPs, hitting the mark means more than ranking on page one. It also means producing authoritative, well-structured content that also earns visibility in AI-generated answers.

Think of your audience and the search engines when working on your site.
As your strategy matures, explore advanced SEO techniques and study the latest search engine trends to stay ahead of the curve.

Read more at Read More

What is Connected TV Advertising?

April 21, 2026/0 Comments/in Web Design/by Dubado Solutions

Key Takeaways

CTV advertising delivers video ads within streaming content on internet-connected TV devices, with targeting and measurement precision that linear TV never had.
Streaming accounted for 45.6 percent of all ad-supported TV viewing in Q4 2025, while only 36 percent of U.S. adults still subscribe to cable or satellite.
Inventory is expanding fast. Amazon has repositioned its demand-side platform (DSP) as a cross-screen programmatic platform, and Pinterest’s acquisition of tvScientific has brought discovery-based audience data into the CTV mix.
CTV advertising rewards intentional spend. Set clear outcome goals, keep frequency under control, and track metrics that connect to real business results rather than just impressions.
Not every business is a natural fit for CTV advertising, but self-serve buying tools have lowered the barrier significantly, making meaningful tests possible without a traditional TV budget.

According to Pew Research, 83 percent of U.S. adults watch streaming services, while only 36 percent subscribe to cable or satellite TV at home. In Q4 2025, 74.2 percent of all TV viewing was ad-supported, with streaming accounting for 45.6 percent of that share, the largest of any category, per Nielsen.

Ad dollars are following the audience. According to IAB, CTV ad spend grew 16 percent year over year in 2024, and digital video surpassed linear TV (traditional scheduled television delivered via cable or satellite) for the first time that year, capturing 51 percent of total TV and video ad spend.

Here is what you need to know about CTV advertising to reach the right viewers on the biggest screen in the house.

What is Connected TV?

Connected TV (CTV) is exactly what it sounds like; televisions that connect to the internet. But it’s so much more than just smart TVs. CTV encompasses any device that allows you to stream content on your TV screen—think Roku, Amazon Fire Stick, and gaming consoles as well.

The shift towards CTV has been dramatic. In 2023, cable TV subscribers dropped to 72.2 million from 98.7 million in 2016. Why? Because 82% of American adults say streaming entertains them more than cable TV. It’s not just about cutting the cord—it’s about gaining control over what, when, and how we watch.

What Is CTV Advertising?

CTV refers to internet-connected devices that enable viewers to stream video content on a TV screen. This includes smart TVs like LG and Samsung, streaming sticks like Roku and Amazon Fire TV, and video game consoles like Xbox or PlayStation.

CTV advertising is a form of digital advertising that delivers video ads within that TV streaming content. Ads can appear across ad-supported tiers of streaming services like Hulu and Peacock, free ad-supported streaming TV (FAST) channels like Pluto TV and Tubi, and apps on streaming devices.

CTV ads give you the full-screen, lean-back viewing experience of traditional TV ads, with the reporting and optimization of paid digital. Google Display & Video 360 (DV360), for example, lets advertisers layer CTV-specific audience segments on top of first- and third-party data, going well beyond the demographic filters available in standard Google Ads campaigns.

The screenshots below show the difference in targeting controls between the two platforms. Google Ads operates within Google’s own data signals, while DV360 lets you bring in your own customer relationship manager (CRM) lists and third-party data on top of that.

Google Ads vs DV360 CTV targeting options comparison

Source: https://improvado.io/blog/dv360-vs-google-ads

That kind of targeting sophistication is becoming the standard across the industry, and the major players have taken notice. Amazon has repositioned itself not just as a streaming platform but as a full-funnel, cross-screen programmatic ecosystem, reflective of broader trends in paid media.

Through Amazon’s DSP, advertisers can now access inventory across its own distribution channels and third-party platforms like Netflix and Disney. Layering Amazon’s first-party shopper data on top of that inventory creates targeting and attribution capabilities that go well beyond standard streaming buys.

CTV advertising’s reach is expanding just as quickly as its targeting capabilities. Netflix’s ad tier generated $1.5 billion in revenue in 2025 and is expected to nearly double to roughly $3 billion in 2026. CTV ads on LinkedIn have also entered the mix, enabling B2B advertisers to reach professional audiences on connected TV screens through partners like Roku, Samsung, and NBCUniversal.

Metro Vein Centers is a good illustration of what CTV advertising precision looks like in practice. The clinic used CTV’s geotargeting to reach women in specific demographic groups near its physical locations, layering in a retargeting campaign to re-engage previous site visitors. The result was an 85 percent reduction in cost per site visitor.

How Does CTV Advertising Work?

Here’s how the CTV advertising process works from the moment a viewer hits play:

Viewer Initiates: A viewer selects content to watch on their connected device. This could be anything from a Netflix show on a smart TV to a YouTube video on a gaming console.
Publisher Transmits Data: The publisher (like Hulu or Roku) sends available viewer information to an ad exchange. This data might include device type, content genre, and any known viewer demographics.
Auction Begins: An automated bidding process, known as real-time bidding (RTB), starts for this specific ad opportunity. This happens in milliseconds, before the content even begins to load.
Platforms Share Information: Supply-side platforms (SSPs) provide more detailed information to potential buyers. This could include the viewer’s approximate location, the time of day, and the type of content being watched.
DSPs Bid: DSPs with matching criteria automatically bid for the ad slot. If you’ve set up a campaign to target, say, sports fans in Chicago, your DSP will bid on this opportunity if it matches.
Exchange Selects Winner: The highest-bidding DSP wins, and their ad is placed. If that’s your ad, it’s then served to the viewer as part of their streaming experience.

This entire programmatic advertising process happens in less than a second, across millions of devices simultaneously, matching your ad to the right viewer before content even loads.

There are three main ways to buy CTV ads:

Open auction or RTB: Prices are determined during a real-time auction.

CTV programmatic buy supply chain diagram

Source: https://www.getpublica.com/blog/dont-chase-cookies-learn-how-ctv-targeting-really-works-the-state-of-ctv-targeting-1-2

Private marketplace (PMP): An invite-only version of an open auction.
Programmatic direct: Direct sales at a fixed price, bypassing the auction.

Source: https://www.getpublica.com/blog/dont-chase-cookies-learn-how-ctv-targeting-really-works-the-state-of-ctv-targeting-1-2

The key players in this process are:

DSPs: Advertisers use them to manage bids and targeting.
SSPs: Publishers use them to make inventory available to buyers.
Ad exchanges: These are the digital marketplaces where SSPs and DSPs transact.

The buying process is getting smarter, too. NBCUniversal teamed up with agency RPA and ad server FreeWheel to test agentic AI systems that handle campaign planning, activation, and execution across both linear TV and streaming, including live sports. The goal is to let AI handle the operational grunt work so teams can focus on strategy.

Benefits of CTV Advertising

Here’s what CTV advertising can do for your marketing:

Precise targeting: You can reach specific audiences based on interests, behaviors, and locations.
Real-time measurement: You’ll see who watched your ad, for how long, and what they did afterward. This instant feedback tells you what to change and when.
Reach expansion: CTV advertising lets you connect with viewers who’ve switched to streaming.
Higher completion rates: CTV advertising’s targeting means your message is more likely to resonate, keeping viewers engaged to the end.
Agile campaigns: Unlike traditional TV, you can adjust CTV ads quickly. Spot an underperforming element? Change it immediately and see the impact.

You’ll need enough budget to generate meaningful signal, creative built for a full-size screen, and a clear sense of your target outcome. Self-serve buying tools have made entry more accessible than ever, but you still need enough spend to generate data worth acting on.

How to Plan and Execute a Connected TV Campaign

A strong CTV campaign doesn’t happen by accident. Here is what the CTV advertising planning and execution process looks like step by step:

Develop your strategy.
Choose the right platform.
Create compelling content.
Set your budget and bidding strategy.
Monitor and optimize your campaign.

1. Develop Your Strategy

Before you spend a dime, you need a clear plan:

Define your objectives: Are you aiming for brand awareness, lead generation, or direct sales? Be specific.
Identify your target audience: Who are you trying to reach? Provide as much detail as possible about your target audience’s demographics, interests, and viewing habits.
Set clear KPIs: Decide how you’ll measure success. It could be:
- Impressions: Tracks how many times your ad is displayed.
- Completion Rate: Measures the percentage of viewers who watch your entire ad.
- Cost Per Completed View (CPCV): Tracks the cost for each viewer who watches your ad through to the end.
- Brand Lift: Measures changes in brand awareness, perception, or purchase intent after viewing your ad.
- Reach and Frequency: Tracks how many unique viewers saw your ad and how often.
- Website Visits: Measures traffic to your website after running the CTV campaign.
- Conversion Rate: Tracks the percentage of viewers who take a desired action after seeing your ad.
- Return on Ad Spend (ROAS): Measures the revenue generated relative to your ad spend.
- Foot Traffic: Tracks increases in in-store visits attributed to your CTV campaign for brick-and-mortar businesses.
Align with other marketing efforts: CTV works best when it reinforces messaging across your other paid and organic channels. If you’re running paid search or paid social, make sure your CTV creative is telling the same story.

2. Choose the Right Platform

CTV advertising platforms including Netflix Roku and Hulu

Source: https://about.ads.microsoft.com/en/blog/post/june-2024/making-ctv-accessible-to-everyone

Once your strategy is set, the next decision is where to run your ads. Here are your main options:

Smart TV manufacturers: These are TV brands, like VIZIO and Samsung, that have built-in streaming capabilities. They offer ad inventory across their native apps and sometimes partner channels.
Streaming devices: These are external devices that connect to TVs to enable streaming. Roku, Apple TV, and Amazon Fire TV are a few choices, though Roku and Amazon also manufacture their own smart TVs. They provide ad opportunities across their platforms and partner apps.
Video streaming services: These content providers stream content directly to viewers and offer ad inventory within their programming streams. Hulu and YouTube are a couple of major players when it comes to CTV, but other apps like Netflix and Disney+ also offer advertising options.
DSPs: These technology platforms enable you to buy ad inventory across multiple CTV sources, offering broader reach and more advanced targeting options. Amazon’s DSP and DV360 are two examples.
Over-the-top (OTT) aggregators: OTT refers to video content delivered over the internet, bypassing traditional cable or satellite providers. CTV is the device used to view that content, like a smart TV or game console. In short, OTT is the delivery method, while CTV is the screen. Platforms like FreeWheel and Magnite aggregate ad inventory from multiple streaming services and devices, giving buyers a single point of access to diverse CTV inventory. Unlike DSPs, which operate on the demand side, aggregators work on the supply side, connecting publishers to potential buyers across multiple platforms.
FAST platforms: Free ad-supported services like Tubi, Pluto TV, and The Roku Channel have expanded rapidly into mainstream viewing. Tubi is already reaching more than 100 million monthly viewers, offering broad reach at competitive CPMs.
Social platforms: Social media platforms are increasingly entering the CTV space, extending their audience data and ad products to the television screen. Pinterest, for example, announced the acquisition of tvScientific, connecting its discovery-based audience data to TV reach. The platform’s first original CTV series, “Bring My Pinterest to Life,” launched on Roku in March 2026, giving brands a shoppable format that bridges upper-funnel inspiration with connected TV exposure.

Each platform type has its strengths, and the right choice depends on your campaign goals, audience, and budget. Smart TVs and streaming devices give you direct access to viewers, while DSPs and aggregators offer broader reach and more granular targeting. FAST platforms and newer entrants like Pinterest add scale and audience data that didn’t exist in CTV a few years ago. Most advertisers find that a mix works better than any single path.

3. Create Compelling Content

Good CTV creative has one job. It must earn attention on a screen where the viewer did not invite it in. A few principles separate the ads that work from the ones that get ignored.

Hook fast, stay clear. You have seconds before a viewer mentally checks out. Lead with the problem, the product, or a visual that demands attention. The message should land cleanly, even if speakers are muted.
Design for one takeaway. CTV is a lean-back environment. Viewers are not scrolling past your ad, but they are not taking notes, either. Pick one thing you want them to remember and build everything around it.
Give viewers somewhere to go. A QR code, a branded search term, or a simple URL gives engaged viewers a direct path to act. According to Innovid, interactive ads earn an average of 71 additional seconds of viewer time over standard pre-roll, suggesting that engagement formats are worth the extra production effort.
Match the creative to the audience. CTV targeting is precise enough to serve different messages to different household segments. A generic spot wastes that advantage. Tailor the message to those watching.
Think beyond the 30-second spot. Pause ads, overlay formats, and shoppable units are all part of the modern CTV creative toolkit.
- Overlay formats appear during content and let viewers scan a QR code or click through to take an action like visiting a site or making a purchase.
- Pause ads appear when a viewer pauses content and can include QR codes or direct response prompts.
- Shoppable units let viewers buy directly from their TV when their retail accounts, such as Walmart or Amazon, are linked to their device.

CTV ad format examples including pause and shoppable ads

Sources:https://www.sabioctv.com/blog/top-8-ctv-ad-creative-units-to-boost-engagement, https://strikesocial.com/blog/getting-started-with-youtube-pause-ads-what-you-need-to-know/, https://www.collectivemeasures.com/insights/ctv-and-the-addition-of-shoppable-ads

Examples worth studying

Lexus used dynamic countdown creatives paired with a home screen roadblock on LG Smart TVs during the U.S. Open, reaching viewers the moment they launched the app before content even began. The campaign drove a 64 percent lift in brand perception, which is a strong illustration of how matching creative format to a high-attention moment can move brand metrics in a way a standard pre-roll spot cannot.

Another automotive brand used Vizio’s Inscape platform to target households identified as “auto intenders” on CTV, running seven campaigns across six models over three months. The campaign resulted in more than 2,600 vehicle purchases and delivered an average ROAS of $31.91, showing that CTV can drive high-value conversions when targeting is built around purchase intent rather than broad demographics.

Both cases illustrate what separates effective CTV from wasted spend. One shows how matching creative format to a high-attention moment moves brand metrics, while the other shows how building targeting around purchase intent drives measurable conversions.

4. Set Your Budget and Bidding Strategy

CTV advertising rewards intentional spending over volume.

Start with a test budget, not your full commitment. Give the campaign enough room to generate real traction across audiences and placements before scaling. Industry guidance generally points to dedicating 15 to 30 percent of your digital video budget to CTV advertising as a starting point for meaningful testing.
Understand how CTV advertising is priced. Most CTV inventory is bought on a cost per mille (CPM) basis, with rates for most U.S. campaigns ranging from $20 to $40 per thousand impressions and many settling around $25 CPM, depending on targeting depth, content type, and inventory quality. Premium direct deals, such as those on Netflix, can push rates significantly higher. Cost per acquisition (CPA) is better thought of as an outcome goal than a bidding model, or something you optimize toward rather than bid on directly.
Allocate budget across platforms based on performance. If you are running across multiple publishers or buying paths, let delivery data drive where the money goes. Do not set it and walk away.
Set frequency caps. This prevents ad fatigue and stops you from burning budget on viewers who have already seen your ad enough times. Research suggests three to seven exposures optimize impact, while more than 10 can reduce purchase intent.

Spend less time chasing the lowest CPM and more time making sure your budget is working against the right audiences in the right environment.

5. Monitor and Optimize Your Campaign

CTV advertising gives you real-time performance data that most traditional TV buys never could. Here’s how to use it:

Track key metrics. Monitor impressions, completion rates, and conversions to understand whether the campaign is delivering and whether viewers are watching through to the end.
Analyze viewer behavior. Look at engagement patterns and drop-off points to understand where creative is losing attention and where it is holding it.
Adjust in real-time. Many platforms enable you to optimize campaigns while they’re running, rotating creative, or tightening targeting based on what the data is telling you.
Test and learn. Try different creative versions or bid strategies. Small tests compound into meaningful performance gains over time.
Connect online and offline data. Use attribution tools to understand how CTV exposure influences actions taken on other devices or in physical locations.

Run incrementality tests. Platform-reported metrics often undercount CTV’s true contribution. Comparing exposed households against a control group gives you a cleaner read on whether your campaign is changing behavior, not just reaching people who were already going to convert.

FAQs

What is connected TV (CTV)?

Connected TV (CTV) refers to any device that connects a TV screen to the internet to stream video content, including smart TVs, streaming sticks, and game consoles.

How does connected TV (CTV) advertising work?

Connected TV (CTV) advertising works by placing video ads within streaming content on connected TV devices, either through direct publisher deals or programmatic buying. Advertisers can then target, measure, and optimize campaigns using platform and publisher data.

What is the difference between CTV and OTT?

Connected TV (CTV) refers to devices that connect a TV screen to the internet, such as smart TVs, streaming sticks, and game consoles. Over-the-top (OTT) is the broader method of delivering video over the internet and can include phones, tablets, and desktops. A CTV buy targets that living room device specifically, while a broader OTT buy reaches audiences across all screens.

How much does CTV advertising cost?

Most connected TV (CTV) inventory is priced on a cost per mille (CPM) basis, with rates for most U.S. campaigns ranging from $20 to $40 per thousand impressions and many settling around $25 CPM, depending on targeting depth and inventory quality. Self-serve platforms have made it possible to test CTV without a traditional TV budget, though you still need enough spend to generate data worth acting on.

Conclusion

CTV has earned its place as a core part of any modern media mix. The brands winning on CTV right now are the ones applying the same discipline to testing and measurement that they bring to search and paid media.

If CTV is not yet part of your 2026 media mix, start by defining your audience and picking a platform that fits your buying model. Strong video creative that holds attention on the biggest screen in the house will do the rest.

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Google adds AI-qualified call leads to improve measurement

April 21, 2026/0 Comments/in Search Engine Land, Web Design News/by Dubado Solutions

Google is upgrading Google Ads call campaign measurement with a new AI-qualified call leads feature, designed to optimize for lead quality — not just call length.

What’s new. AI-qualified call leads use machine learning to analyze calls and determine whether they represent meaningful business opportunities. The system then feeds that higher-quality data into bidding and reporting.

Zoom in. Advertisers will get AI-generated call summaries and tags, giving more transparency into what happened during each interaction. At the same time, smart bidding can prioritize higher-value leads based on these signals rather than simple time thresholds.

Why we care. Call campaigns have long relied on blunt metrics like duration to signal value. This update shifts optimization toward actual lead quality, filtering out low-value interactions like spam or robocalls. This should result in better ROI, less wasted spend, and clearer insight into which calls actually matter.

How it works. Call recording is turned on by default for most advertisers so AI can assess call quality, though industries like healthcare and financial services are excluded. Advertisers can still adjust call length thresholds or disable recording in account settings.

The fine print. The feature is currently limited to calls in the U.S. and Canada.

Bottom line. Google is turning call tracking into call qualification, helping advertisers focus on leads that are more likely to convert.

Read more at Read More

The funnel flip: Why AI forces a bottom-up acquisition strategy

April 21, 2026/0 Comments/in Search Engine Land, Web Design News/by Dubado Solutions

The industry has been building top-down for 30 years. Start with awareness, get in front of as many people as possible, and work them down through the acquisition funnel.

The logic made sense in the broadcast era, and it wasn’t entirely wrong in the search era.

In AI-driven environments, it’s simply wrong.

Search engines, assistive engines, and agents build their ability to recommend your brand from the bottom up. They need to understand who you are before they can evaluate whether you’re credible. They need to evaluate your credibility before they recommend you to anyone.

If you build from the top down, you’re wasting budget on awareness while the engines and agents have no foundation to attach it to.

Agential systems make the stakes absolute. An agent acting on behalf of a user evaluates your brand, your offers, and your credibility, then commits.

If the machine doesn’t understand who you are, what you offer, and whom you serve, the agent can’t act in your favor. If it understands you but doesn’t find you the most credible option, it selects your competitor.

This is the ultimate zero-sum moment in AI: the recommendation you never saw happening, to the prospect you never knew was considering.

The acquisition funnel runs simultaneously in opposite directions

The user experience of the acquisition funnel hasn’t changed. Someone hears about you, considers you, and decides whether to commit. That journey runs wide to narrow, top to bottom: awareness first, evaluation second, and decision at the bottom.

This is the familiar funnel. Elias St. Elmo Lewis formalized it in 1898. Every marketing model since has been built around it, and for 128 years, nothing fundamental has changed. The channels evolved, but the direction was always the same: reach first, relationship second, commitment third.

In 2002, my friend Philippe Lanceleur described the web perfectly for search: building a website and hoping people find it is like opening a shop in the middle of a field. Nobody passes by accident. You go where your audience hangs out, engage with them, and invite them to cross the field and visit your shop. Awareness was still the prerequisite, and your marketing had no chance of working without it.

The shift to entities changed the prerequisite. When Google introduced the Knowledge Graph in 2012, the machine began forming opinions about brands independently of what users were searching. The machine was drawing its own map and building roads for you.

Those machine-built roads are built from the shop outwards by the machines, which means brand understanding and reputation, not awareness, become the prerequisite. All my work since 2012 has been focused on brand understanding and reputation for exactly this reason.

AI makes the acquisition funnel flip more powerful still. Assistive engines and agents now actively direct users toward destinations they’ve assessed as credible. Lanceleur’s shop in the field is no longer a handicap if the machines know it’s there and believe it’s the best destination for their users: they provide the roads.

This is the first genuine structural break in how brands must think about marketing since 1898. The display funnel is unchanged: the user still travels from awareness to decision. What makes you a candidate at the top of that funnel in AI engines and agents is built by training the machine to bring users to you.

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How top-down and bottom-up coexist

The big takeaway is that the build funnel runs in the opposite direction.

The machine starts at the bottom. Does it know who you are?
It works up through credibility. Does it trust what you do?
Only then does it reach advocacy. Will it recommend you proactively?

The moment of commitment by the user stays the same: know-like-trust the brand, but the only way for the user to arrive at that moment in AI assistive engines is that the machine knows, likes, and trusts your brand.

The coexistence of the bi-directional funnel is real. You can build top-down in channels you control: paid media, broadcast, and direct outreach. You can still buy awareness and pull people to decision. In the engines themselves, the user still has the top-down experience.

The difference is that within the engines for organic, you have to build from the bottom of the funnel (BOFU) up because that’s how the machines build the roads to your brand.

Every algorithm, assistive engine, and agent operates on entity and brand signals, not on how loudly you push. Reach on social media has always been influenced by brand recognition, engagement, and topic, and here too, brand understanding and trust are gaining increasing weight.

With AI, roads to your shop in the field are increasingly machine-built, and machine-built roads are built from brand understanding outwards to awareness.

The original 1898 funnel still describes what users experience. In AI assistive engines and agents, it no longer describes the strategy that gets you in front of them: for that, you need to flip the funnel.

In short, you can’t build your funnel in AI engines and agents top-down in a world where those machines are the mediators between you and your audience. The machine won’t recommend brands it doesn’t understand, and it will only advocate for brands it trusts. This is a mechanical fact.

AI infrastructure works like this, so you also must.

Understandability creates the entity node.
Credibility gives it preferential consideration.
Deliverability gives it visibility.

Foundation. Proof. Reach. Put like that, it really does seem obvious, unavoidable, and comfortable.

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How the funnel becomes a guided sequence in AI

The user journey on Google used to be a series of single-composed SERPs that users navigated themselves. Search engines composed those pages cleverly (Google and Bing have run a whole page algorithm since universal search launched in 2007, Darwinistically pulling elements from across verticals and scoring the composition as the “product”), but the navigation across the funnel was the user’s job.

As an SEO, you optimized for a position in the composition, and the user carried themselves from awareness to consideration to decision by browsing, comparing, and choosing.

Over the last few years, the algorithmic trinity has fundamentally changed that dynamic. The LLM reasons about what the user is asking, decides whether to answer directly, ground, search, or fact-check via the knowledge graph, and runs fan-out queries to retrieve across multiple angles of the question.

Those fan-out queries (which I’ve also called cascading queries) help the assistive engine answer the question more completely and more accurately than a single query would. But the breadth of what it gathers also lets it do one more thing — and this is the mechanic that actually matters in the funnel that leads to the perfect click: it can anticipate what the user is likely to do next, and set the current answer up to flow toward it.

The explicit representation of the LLM’s prediction of “next step” is the follow-up questions you see in the results. But there’s an additional implicit side to this architecture you might have missed: the way it composes the current answer shapes what the user is likely to do next. The AI is, to a very large extent, defining the acquisition journey. It seems to me the user is less in control than they feel.

That means your job appears to be to fight for a slot in a sequence the machine has already built.

That’s fair. But I’d argue that the brand’s job is also to train the machine’s expectations about what a logical next step looks like, so that when the LLM composes, your content is the natural thing it reaches for.

You supply the ideas, you structure the follow-ups, you publish the logical bridges (“if you’re thinking about X, the next thing to consider is Y, and here’s the evidence”) in enough places, and with enough corroboration, that the machine treats those bridges as settled, not speculative. The machine then guides users toward you because your content is what its prediction landed on, because your framing is what made that prediction logical in the first place.

Now, is the AI thinking one step ahead? Or playing chess and planning several moves in advance? It depends. How far ahead the machine can usefully look depends on the territory.

On well-traveled ground, the paths are well-worn, and the branches are narrow, so the LLM can stage two, three, or more moves ahead. Think of this as established neurological synapses: your influence on the paths is limited here.

In unusual territory, the branches collapse the prediction horizon back to one, perhaps two steps. That’s an opportunity for a brand to create the synapses with your brand firmly anchored. Here’s yet another good reason to niche down, solve very specific problems, and have a very clear funnel pathway.

When defining the content I work on and terms I track, I use the concept of funnel pathway for exactly that reason — a top-of-funnel (TOFU) query that naturally leads to my brand at BOFU with a series of steps that are logical and relatively predictable.

So, track a set of terms that have a natural pathway to your brand at the zero-sum moment at the bottom of the funnel. Some start at TOFU and move through MOFU to BOFU. Others begin at MOFU with a clear path to BOFU, and some start (and end) at BOFU.

I’ll probably get pushback here. The number of possible paths is effectively infinite because conversations with AI can go anywhere. True. But this is a better system than chasing search volume or tracking the terms the boss likes: it forces you to think, focus, and prioritize — and it works.

Get your foot in the door, and keep it there

Strategically, you have to get a foot in the door as early as possible in the conversation, and ensure that you keep your foot there as the conversation evolves and the AI guides the user down the funnel.

The stronger your foot in the door, the more you shape the conversation the machine builds, the more that conversation thins the field of competitors the machine considers for the next step, and, by virtue of elimination, the more likely you are to get the perfect click at the zero-sum moment at the bottom of the funnel.

I’m advocating for educating the algorithms (remember, Google is a child?). The better you guide, the more the machine’s best-brand prediction converges on you step after step, because the path it’s following is the path you built into its brain.

Get in high, and the compounding works in your favor. Get in late, and your competitors’ bridges become the machine’s bridges, and every subsequent step is a fight to re-enter a sequence where your competitor is Top of Algorithmic Mind.

Display is where your acquisition funnel lives in the AI engine pipeline

The AI engine pipeline runs 10 gates from discovered to won.

Everything up to annotation (Gate 5) is infrastructure: can the machine access, store, and classify your content?
From recruitment (Gate 6) onward, the engine compares you to every alternative.
The understandability, credibility, and deliverability (UCD) layer is where the user sees the machine evaluation at display (Gate 8). Understandability is the key to won (Gate 9).

The three dimensions of brand visibility at display

Display is the moment when the machine can make or break your brand by being the most visible in the market at every touchpoint when your ideal customer profile (ICP) is having a conversation with the engine or agent.

It’s obvious that this is the key moment when you need the engine or agent to be absolutely convinced that you’re the best solution to the specific user’s problem at the exact moment they convert (see the 95/5 rule here).

Understandability (U) is the trusted partner/decision layer, without which nothing else will work long term. Does the machine know who you are, what you do, and who you do it for?

U is BOFU, which is both the moment of decision and (logically) the deepest trust layer for both the AI user and the human user. When someone searches your brand name or asks an AI assistant directly about you, the machine draws on its understanding of your entity.

If that understanding is weak, contradictory, or absent, the machine either hedges or stays silent. Typical failure modes show up in AI responses as “claims to be,” “appears to offer,” or “no idea who you are talking about.” The doubt tax — where prospects ready to buy get a hedge instead of a confirmation — is a U failure.

Credibility (C) is the recommender/consideration layer. Does the AI believe you’re genuinely better than your competitors at what you do?

C is MOFU, the comparison and evaluation layer. When someone asks an AI who is the best in market, the machine draws on its confidence in your N-E-E-A-T-T credibility and will exclude you if you haven’t built a rock-solid argument to be cited.

If AI confidence in you is weaker than its confidence in the credibility of your competitor, you lose the comparison. The ghost tax – absent from competitive evaluation and ignored in shortlists — is a C failure.

Deliverability (D) is the advocate/awareness layer. Does the AI surface your brand to people who aren’t searching for you, recommend you unprompted when they research the market, and treat you as the reference option in your category?

D is TOFU, the reach layer. When someone asks an AI about a problem, you solve without knowing your brand exists, the machine draws on its confidence that you are the right answer to put in front of them.

Advocacy only happens when the machine has first understood who you are (U), and judged you better than the alternatives (C). The invisibility tax — never mentioned to prospects researching the market — is a D failure.

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The business case for UCD: The three taxes

My untrained salesforce framing is super clear for a non-technical audience. Google, ChatGPT, Perplexity, Claude, Copilot, Siri, and Alexa are seven employees working 24/7, and they’re either selling for your brand or for your competitors. AAO can be defined as training AI assistive engines and agents to sell for you at the top, middle, and bottom of the funnel.

Here’s the part most of the industry still hasn’t internalized: machines aren’t an alternative audience. They’re a mirror of how people process information, with the noise filtered out.

Optimizing for machines is optimizing for humans with less guesswork. A brand SERP is Google’s opinion of the world’s opinion of you, and Google’s opinion is built from the same signals that form human opinion, only weighted more consistently, and corroborated across millions of data points.

When you optimize to improve what Google believes about your brand, you’re not gaming an algorithm. You’re correcting and reinforcing what the world already believes about you, expressed with the precision humans rarely articulate. The algorithm is the clearest feedback loop marketing has ever had.

Each tax is a specific failure mode of that untrained salesforce.

The doubt tax is what you pay when they can’t confirm who you are to a prospect ready to buy.
The ghost tax is what you pay when they can’t argue your case against competitors in a shortlist.
The invisibility tax is what you pay when they don’t mention you at all to the prospect researching the market.

The fixes run in one order: U before C, C before D, because the taxes are mechanically ordered, and the remediation has to match.

Content was king in the keyword era, context took the throne around 2016, and confidence is king now. The AI engines don’t just store and retrieve. They stake their own credibility on the brands they recommend, and that staking runs on accumulated confidence at every layer.

Build U to retire the doubt tax. Build C to retire the ghost tax. Build D to retire the invisibility tax. Every tax retired is a recommendation earned, and every recommendation earned is revenue the machine now generates on your behalf instead of your competitor’s.

Strategy: Your brand SERP and AI résumé tell you where to begin

Brand SERP is what Google shows when someone searches your brand name. The AI résumé is the same object in conversational format. The agent dossier is the machine’s silent judgment during evaluation before any recommendation reaches a person.

All three are dual-function objects. They’re the machine’s output to every audience that asks about you, and your diagnostic instrument for reading the machine’s current confidence. That dual function is why they’re both the product and the audit.

Read all three as the machine’s understanding of you, its assessment of your credibility, and its confidence in you as a solution provider. The diagnostic triage is short.

If the machine gets things wrong, hedges facts, or the results don’t reflect your brand narrative, that’s an understandability problem. The entity record is inconsistent, weak, or contradictory, and the work is on your entity home: clean structured data, consistent descriptions, clear schema, and entity resolution that points to a single authoritative source.

If the results are unconvincing, unflattering, or don’t do you full justice, that’s a credibility problem. Your N-E-E-A-T-T is weak, and the work is offsite: third-party mentions, review platforms, earned media, and co-citations from sources the machine trusts.

If the results don’t reflect your digital marketing strategy, that’s a deliverability issue. The work is in content, both on your channels and on third-party properties, the type of material the machine treats as proof rather than a claim.

In every case, the diagnosis comes before the tactics. U before C, C before D, and the sequence isn’t optional.

Acquisition is one act in a 15-stage play

The acquisition funnel feels dominant because it’s where conversion happens. The funnel sits on the display gate, where UCD determines whether the machine recommends you.

Everything else, the work that lets display happen at all and the work that compounds afterward, runs across the nine gates before it and the five gates after it.

Those five gates after Won are where most of the money is made and most of the confidence is generated. Onboarded, performed, integrated, devoted, and codified — every client outcome feeds signals back into gate zero for the next prospect who has never heard of you.

The flywheel is the mechanism. Get it right, and every satisfied client strengthens the machine’s confidence in your brand for the next one. Get it wrong, and every neutral outcome decays it.

That’s more than just an acquisition strategy; it’s a business strategy, with the machine as a constant participant at every stage.

The final articles in this series will show you what happens after won: how every satisfied client either trains the machine to recommend you more confidently next time, or quietly erodes the confidence you’ve already built.

The funnel isn’t where the money is made, but it is the critical moment the flywheel feeds where the path to money is.

This is the 10th piece in my AI authority series.

The first, “Rand Fishkin proved AI recommendations are inconsistent – here’s why and how to fix it,” introduced cascading confidence.
The second, “AAO: Why assistive agent optimization is the next evolution of SEO,” named the discipline.
The third, “The AI engine pipeline: 10 gates that decide whether you win the recommendation,” mapped the full pipeline.
The fourth, “The five infrastructure gates behind crawl, render, and index,” walked through the infrastructure phase.
The fifth, “5 competitive gates hidden inside ‘rank and display’,” covered the competitive phase.
The sixth, “The entity home: The page that shapes how search, AI, and users see your brand,” mapped the raw material.
The seventh, “The push layer returns: Why ‘publish and wait’ is half a strategy,” extended the entry model.
The eighth, “How AI decides what your content means and why it gets you wrong,” covered annotation — the last gate where you’re alone with the machine.
The ninth, “Why topical authority isn’t enough for AI search,” opened the competitive phase proper with topical ownership.
Up next: Why evidence on its own isn’t enough, and how the framing gap explains which brands AI recommends and which it hedges on.

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