If your paid social campaigns aren’t converting, you may be undervaluing their impact. Your brand’s exposure on social media can influence other parts of your marketing that platform metrics don’t capture.
Here’s how to design and measure a test to understand how paid social influences your other marketing channels, including PPC.
Step 1: Determine your hypothesis
Start with what you want to learn, then define a hypothesis you can realistically evaluate with your data.
For example, this is a common hypothesis for measuring paid search lift from social traffic:
Search lift hypothesis: Increasing spend on social media will increase brand search volume and overall PPC CTRs.
Logic:
Social ads build brand awareness. As more people become familiar with our brand, they will search for it more often when making research and purchase decisions.
As more people are exposed to our brand, they will increasingly click on our PPC ads regardless of their search term (i.e., increasing non-brand and brand CTRs).
People exposed multiple times to our brand will have a higher trust factor in our products, and therefore, our conversion rates will increase.
Measurement:
Impression and click volume for our branded terms.
CTR changes for brand and non-brand terms.
Conversion rate changes for brand and non-brand terms.
Your hypothesis could have a different scope, such as measuring paid and organic lift from social spend or an increase in direct traffic.
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Step 2: The test
The next step is to set up the test parameters. Generally, measuring before and after a change is a mistake, as seasonality or other factors can affect your test results.
The most common test setup is a geographic split. In this test, we’ll increase social spend for only a set of geographies. Then we’ll examine the PPC data for the geographies where we ran the test and compare them with areas where we did not.
As you choose geographies, you’ll want to control for other variables that may affect your test. Here are some common issues that companies have run into and need to control for in their tests and measurements:
You sponsor a sports team, and they’re playing during your test.
If the game is regionally televised, this can dramatically affect your test results.
You’re running TV commercials in only certain regions.
You choose experimental geographies with many out-of-region commuters, such as New York City, and include New Jersey and Connecticut in your control group.
In these instances, grouping a region and its surrounding commuter areas together, and placing other cities with similar characteristics, such as Chicago and Philadelphia, in a different group, can help balance these tests. (Note: in this example, we’re splitting New Jersey in half.)
Seasonal or local events. Large conferences, festivals, or major weather events can affect your data.
Your control and experimental groups should be statistically similar across factors such as income levels, and urban versus rural regions.
As you set up and measure your test, consider your budget. If you increase social spend and expect higher clicks and conversions for your PPC campaigns, ensure you have the budget to capture the increased demand.
Examine your impression share and impression share lost to budget before and after the test to ensure budget limits won’t severely impact your results.
Measurement can go from very simple to extremely complex.
At a simple level, you can compare platform data to see how your data changed. In this case, a Google Ads report shows how pausing social spending and influencer campaigns across all social platforms (TikTok, LinkedIn, Facebook, YouTube, etc.) affects performance.
For this test, pausing social spending yielded mixed results for conversion rates. As brand searches decreased, conversion rates in some regions increased, while in others they fell.
However, what was consistent was a dramatic drop in conversions.
You can get more sophisticated in your testing. Depending on your analytics setup, some companies want to measure touchpoint differences for their conversions. Others will want to measure overlap rates between social and paid search visitors, or examine attribution touchpoints and models.
Before you set up your test, ensure you have the measurement capabilities needed to understand and interpret the results.
As you run various tests, you want to measure the results against your hypothesis. However, it’s useful to list other variables worth evaluating beyond your test criteria.
This is where search consoles, analytics tools, CRM, internal data, and even the paid and organic report can come into play.
In one example, a company was running a test to see whether pausing several advertising channels, from social media to TV ads, would dramatically change its brand search volume. They hypothesized that their brand was so well known in the marketplace that they could cut back on several forms of brand advertising and reallocate that budget to other channels and non-brand advertising.
While the simple paid and organic report in Google Ads won’t tell you the full story about in-store revenue and direct traffic changes, it can serve as a signal to form an overall picture of a very complex test.
They had recently launched a new product line, and that line continued to see a large increase in traffic during the test. However, their most common brand terms saw significant declines from the test. This was a year-over-year comparison across a set of geographies, rather than a period-to-period comparison, to help correct for the increase in holiday traffic that would have occurred during the previous period.
The results were by far the most dramatic I’ve ever seen in this type of test, to the point it was clear other variables had to be in play that could affect the test.
This takes you to the sniff test. Rely on your experience with data to make common sense adjustments. If you look at the data and it just doesn’t seem right, ask yourself whether this makes sense, if it’s a math quirk (common with low data), or if other unforeseen variables are in play.
In this example, no one believed the results should be this dramatic. The company stopped running the test and began an internal evaluation of its organic presence, including Google’s recent updates, changes to AI Overviews, AI engagement, and other factors affecting its web presence beyond its usual marketing channels.
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What to do with your social impact tests
The test setup is simple:
Determine your hypothesis.
Decide how you will test. The easiest setup is a geographic split.
Make sure you can measure the results.
Launch the tests.
Evaluate the metrics for your hypothesis.
Examine other metrics for insight or additional testing ideas.
For some companies, Facebook and other social channels are their top conversion channels, and these tests won’t be applicable. For others, social media advertising results often look poor when evaluated in isolation.
In these examples, the companies were already running many social media campaigns, so the test was to reduce social media spend. If you don’t run much social media, your test will be to increase your social media spend to see how it affects your data.
I’ve seen a lot of these tests, and the results are highly inconsistent across companies. Many companies will increase their social media spend and see little change in their data. Others will increase their spend and see a nice lift in overall performance. These are tests you need to run yourself, as your results will vary by company.
Running geographic split tests in your social media campaigns and then measuring the results on paid or organic search traffic can give you insights into how to leverage social media campaigns for other marketing channels.
Google announced they are testing a new “conversational search experience to complement how you already search on YouTube.” It is called “Ask YouTube” and it lets you “dive deeper into the topics you’re curious about in a more interactive way,” Dave from YouTube wrote.
What it looks like. Here is a GIF of it in action:
How can I try it. If you want to try it out, you can go to youtube.com/new and try to opt into it.
This experiment is currently available for YouTube Premium members 18+ in the US who opt-in. Google is working on expanding the experiment to non-Premium users in the future.
What it does. Dave from YouTube posted this example:
“If you’re in the experiment, you can try it out by selecting “Ask YouTube” in the search bar. For example, you can ask for help planning a 3-day road trip from San Francisco to Santa Barbara, and you’ll get a structured, step-by-step itinerary instead of a list of videos. The response will bring together a new mix of long-form videos, Shorts, and informative text featuring local tips and must-see stops. You can ask follow-up questions like, “where can I find good coffee?” to explore local spots along your route. We’ll surface videos and relevant video segments, accompanied by their titles and channel details, to make it easy to discover new creators and jump into the most helpful content from your search.”
Why we care. AI search is creeping into every search interface across Google’s properties. YouTube is no exception. Expect more and more AI search experiences in more Google surfaces and expect them to change and adapt over time.
You can find more coverage of this across Techmeme.
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.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2021/12/web-design-creative-services.jpg?fit=1500%2C600&ssl=16001500Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-04-28 11:00:002026-04-28 11:00:00Where PPC and SEO teams lose control in branded search by Bluepear
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-04-26 14:50:212026-04-26 14:50:21How to Build Location Pages That Rank, Convert, and Get Cited
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 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.
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.
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:
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.
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.
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’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.
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.
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.
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.
Backlinks are links from other websites to yours, and they still matter because they help search engines evaluate how authoritative and trustworthy your site is.
Not all backlinks are equal. A few relevant, high-quality links from authoritative sites are usually more valuable than many weak or spammy ones.
Backlinks support AI visibility because generative engines and language models favor content from authoritative, trustworthy sources, and backlinks are one of the clearest signals of that authority.
Tracking backlinks means monitoring quality and growth. Pay attention to referring domains, anchor text distribution, and link stability over time.
The best way to build backlinks is to earn them through useful content and targeted outreach. You will need to keep refining your approach based on what works.
AI is reshaping search, but one traditional SEO practice has held its ground: backlinks.
A backlink in SEO is a link from another website that points to yours. These mentions across different websites help search engines understand how you fit into the overall picture of your industry, and sites that reference you repeatedly signal authority and trust to Google. That authority also carries weight in AI-driven search experiences, where AI platforms favor content from sources they consider trustworthy.
Backlinks still matter, and the case for them has only grown stronger as AI reshapes how search works.
So, What Exactly Are Backlinks?
A backlink forms when another site links to your page, signaling to search engines that your content is worth referencing. You may also hear them called inbound links or incoming links.
The screenshot below shows what a backlink looks like in practice, with one site linking directly to another as a reference.
Nikki Brandemarte, Senior SEO Strategist and Local SEO Team Lead at NP Digital, explains it well: “Getting backlinks from reputable sources can demonstrate to Google that you have expertise on the topics you cover. I like to think of quality backlinks as a ‘vote of confidence’ that you know what you’re talking about.”
Backlinks help search engines understand which pages other websites find useful and authoritative enough to mention. That same authority can also support visibility in AI search experiences, even if backlinks are not the main ranking factor there.
I’ll go into what makes a “good” and “bad” backlink later in this article. For now, the key thing to know is that backlinks are one of the clearest ways authority gets passed around the web.
Backlink Examples/Types
Dofollow backlinks are the standard links most site owners want. They allow search engine bots to crawl and index your site, passing authority signals that typically have the biggest SEO impact. These are the links worth prioritizing in your outreach and content efforts.
Dofollow HTML example: <a href=”https://example.com/”>anchor text</a>
Nofollow backlinks work differently. They carry a special HTML attribute that tells search engines not to pass authority, but they still drive referral traffic and keep your link profile looking natural. You’ll commonly find them on social media, forums, and sponsored content. Since 2019, Google has treated nofollow links as hints rather than strict directives, meaning some may still carry indirect value.
Nofollow HTML example: <a href=”https://example.com/” rel=”nofollow”>anchor text</a>
A healthy backlink profile includes both. Pursuing only dofollow links can signal to search engines that your links are artificially built rather than earned, which can work against you.
Why Are Backlinks Important For SEO?
Even as search has changed, backlinks still help search engines understand when other websites see your content as worth referencing. Authority and trust still influence rankings, especially for competitive topics.
Backlinks serve as a seal of approval from one site to another. They strengthen your site’s credibility and make it easier for search engines to surface your content in results. They’re also critical for driving targeted, quality traffic to your site. When someone clicks through from a relevant site, they arrive already interested in what you offer.
Backlinks also play a bigger role in the broader visibility ecosystem around search. Strong mentions and links earned through strategies like digital PR can support your presence across traditional and AI search.
Backlinks require ongoing attention, though. They aren’t “set it and forget it” things. A strong backlink profile is built over time and needs regular review. It’s an investment in your site’s long-term success and one of the clearest ways to build durable SEO authority.
Quality beats quantity when it comes to backlinks.
A single backlink from a high-authority, relevant site can do more for your SEO than dozens of low-quality links. High-quality backlinks strengthen your site’s authority and can push your rankings higher in search results.
Going after links without caring about their quality is a recipe for trouble. It’s like inviting a bunch of strangers to your party without checking if they vibe with your crowd. This approach can tarnish your site’s reputation and lower its ranking.
High-quality backlinks share a few common traits:
Relevancy: A link from a site in a related or complementary field helps Google see your link as more valuable.
Domain or page authority: When authoritative sites link to yours, Google assumes your site is more trustworthy as well.
Dofollow links: These pass authority signals to your site and are worth prioritizing in your outreach efforts. That said, a healthy backlink profile includes nofollow links too, since an all-dofollow profile can signal to search engines that you built your links artificially.
Anchor text: Relevant anchor text can provide an even bigger potential boost to rankings.
What counts as a quality backlink can also vary by industry and competition level. In more competitive spaces, you may need stronger, more relevant links to stand out. That’s especially true for ecommerce link building, where product and category pages aren’t naturally linkable and quality links are harder to earn.
Low-quality backlinks typically come from sites unrelated to your niche, sites with questionable content, or known spam sources. Paying for links or accepting them indiscriminately puts your SEO at risk, regardless of how tempting a shortcut it may seem.
Are Backlinks Important For AI?
Backlinks are still important in AI-driven search, though not as a direct ranking factor. Google has confirmed that the same core SEO guidance applies to AI features like AI Overviews and AI Mode, and backlinks are part of that foundation.
Backlinks support visibility across generative engine optimization (GEO), large language model optimization (LLMO), and answer engine optimization (AEO), the three major AI optimization frameworks shaping modern search. In GEO, which focuses on getting your content cited in generative summaries, backlinks signal the depth and authority generative engines favor. In LLMO, which shapes how language models understand and reference your brand, backlinks reinforce the consistent authority signals models rely on. Even AEO, which targets direct answer boxes and featured snippets, stronger backlink profiles help pages earn those placements more easily.
AI platforms tend to surface content from sites they consider authoritative. Semrush analyzed 1,000 unique domains and found a strong positive relationship between authority score, which reflects backlink quality, and how often a domain appears in AI-generated answers. The Pearson correlation of 0.65 and Spearman correlation of 0.57 from the study indicate a strong relationship, meaning sites with stronger backlink profiles show up in AI search results more consistently.
Publishing crawlable, useful content remains the priority, but backlinks across reputable sites reinforce that you are a trusted source worth surfacing.
Microsoft’s guidance on AI search visibility reinforces the same point, noting that traditional SEO fundamentals, including crawlability, backlinks, and content authority, remain central to whether content gets surfaced in AI-generated answers.
The chart below shows how different backlink metrics correlate with AI visibility across 1,000 unique domains. Authority Score, which reflects overall link quality, shows the strongest relationship by a significant margin.
For AI search, backlinks are one signal among many, but they remain a meaningful one.
How to Track Your Backlinks
Tracking your backlinks is just as important as building them. Backlink analysis tools show you which sites link to yours and help you catch problems before they affect your rankings.
Spot any links that could be dragging your rankings down, such as links from spammy or irrelevant sites.
Identify opportunities for higher-quality or more links.
You also want to understand which sites are linking to you, whether those sites are relevant to your niche, what anchor text they’re using, and whether your referring domains are growing over time. My backlink checker surfaces all of this in one place, giving you a clearer picture of whether your backlink profile is getting stronger or just getting bigger.
The tool also makes competitive analysis straightforward. Enter a competitor’s URL and you can see everyone linking to them but not to you, turning that gap into a list of actionable link-building opportunities. Advanced filtering lets you narrow results by region, anchor text, domain score, page score, and URL, and you can choose to view only dofollow or nofollow links. Once you’ve refined your results, you can export them to CSV for further analysis.
As you get more backlinks, monitoring them manually takes too much time and effort. The right backlink analysis tools make maintaining them much easier and help you make smarter link-building decisions and catch problems early.
Backlink Building Best Practices
You’re ready to start building backlinks, but you can’t just fire off pitches to every publisher with a major name. Here’s what Kimberly Deese, Director of Digital PR at NP Digital, has to say about it:
“Two factors that impact building high-quality backlinks are the target page you are trying to build links to and the number of opportunities that currently exist that are relevant to that target page. Personalize content to personas and specific use cases to create more opportunities to reach out and build that personalization into your pitch and call to action.”
The biggest best practice is relevance. Start creating content that’s valuable and relevant to your niche. Focus on content people want to cite, like original research or genuinely helpful guides.
You should also look for broken-link opportunities. When a site in your space points to an outdated resource, you can suggest your content as a replacement.
Media requests are another strong play. Journalists and editors regularly need expert quotes, and a strong response earns you authoritative links and mentions.
It also helps to study what’s already working. Competitive backlink analysis can show you which sites, formats, and outreach angles are earning links in your niche. These are some core moves, but backlink building rewards consistency. Check out our full guide on how to build backlinks for a deeper look at execution.
FAQs
What are backlinks?
Backlinks, also known as inbound links or incoming links, are links from one website to a page on another website. Search engines treat them as endorsements, using them to evaluate your content’s credibility and relevance, which can improve your visibility and rankings. They also play a role in AI search visibility. AI platforms tend to surface content from authoritative sources, and backlinks are one of the clearest signals of that authority.
How do I build backlinks?
Building backlinks ethically means creating content that earns links organically and reaching out to reputable sites in your industry. The strongest approaches include original research that journalists want to cite, digital PR campaigns that earn coverage on authoritative publications, and broken-link outreach that positions your content as a replacement for outdated resources. Quality and relevance matter more than volume.
How do I check my backlinks?
Ubersuggest’s free Backlink Checker is a strong starting point. It shows you which sites link to yours, flags links that look spammy or weak, and tracks referring domains, anchor text, and new or lost links over time. Those metrics together tell you whether your backlink profile is genuinely strong or just large.
Conclusion
Backlinks are one of the most important parts of a solid SEO strategy. They build credibility and authority, and search engines notice. That same authority carries into AI-driven search, where platforms consistently favor content from sources they trust.
The work is ongoing. You need to track what you have, pursue broken link opportunities, cut what’s hurting you, and keep earning better links over time. When you approach backlinks correctly, the payoff compounds. Stronger links mean stronger rankings, and stronger rankings mean more of the right people finding your content.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-04-22 19:00:002026-04-22 19:00:00What are Backlinks and Why are they Crucial for SEO?
For 20 years, Google Ads management has followed the same basic model: you log in, review performance, make changes, and hope they work before the next check-in.
Agencies, freelancers, and in-house teams all work this way, even as the tools have changed. Spreadsheets gave way to scripts, and scripts gave way to automated bidding, but the core loop never changed — someone still had to sit in the account.
groas aims to change that model by introducing a system designed to automate campaign execution end-to-end.
Our company announced today it has developed a fully end-to-end autonomous system that’s designed to match or exceed PPC performance benchmarks observed in internal testing. It’s designed to operate without routine manual approvals or constant dashboard monitoring.
From campaign creation through bid management, ad copy generation, keyword expansion, negative keyword pruning, budget allocation, and dynamic landing page deployment — along with everything else you can do in the Google Ads console and beyond — the entire workflow now runs autonomously, 24/7.
The system runs on a distributed network of specialized AI agents that handle different parts of campaign management and communicate in real time.
We didn’t start here.
A year ago, groas launched as a lightweight product that surfaced optimization recommendations for you to review and implement. The same model most PPC products still follow.
By the founder’s own admission, it was a fairly unremarkable v1. But what it lacked in sophistication, it made up for in something more valuable: real data from large volumes of real campaigns at scale.
Hundreds of early customers across the world signed up and connected their Google Ads accounts, representing a wide range of ad spend levels, campaign structures, and conversion goals.
These weren’t a narrow slice of one vertical. They spanned dozens of industries and niches — from local service businesses spending a few thousand a month to large agencies managing seven-figure monthly budgets across full client portfolios.
That diversity became the most important asset groas built.
The custom-trained, fine-tuned models that now power the system were shaped by this breadth — not a static dataset or simulation, but live campaigns with real money on the line across every industry and budget tier.
Without that base of early adopters, what groas is today couldn’t exist. The training data that enables autonomous management came from actively managing real dollars across real campaigns, learning what worked and what didn’t in conditions no synthetic environment could replicate.
David Pourquery, founder and CEO of groas, said:
“We kept seeing the same pattern. We’d surface a recommendation that would clearly improve performance, and it would sit there for days or weeks because the account manager was busy, or the client needed to approve it, or someone was on vacation. The insight had a shelf life, and by the time it got implemented, the data had moved on. So we stopped recommending and started doing.”
That realization drove a complete six-month rebuild. The result is a system of interconnected AI agents, each specialized in a different part of campaign management, collectively processing over 100,000 data points per hour per campaign.
The network handles a wide range of tasks typically performed inside the Google Ads console without the limits of working hours, cognitive load, or the tradeoffs that come with managing multiple accounts. The system automates most day-to-day campaign management tasks that would typically require manual input. If you wouldn’t have time to do it, the agents would.
From day one, groas built dynamic landing pages into the system, deployed and continuously A/B tested to find winning combinations of messaging, layout, and calls to action for every campaign. groas deploys them with a single line of JavaScript on your existing site — no developer resources, no new hosting, no CMS changes. The system tests and iterates 24/7, designed to improve conversion rates through continuous testing.
There’s a full undo capability for each agent action, but the point is you don’t need to regularly check into groas or Google Ads. Weekly reports are emailed, summarizing what was done, while a dedicated human PPC account manager oversees everything groas does around the clock.
Onboarding is fully hands-off. After sign-up, your groas account manager learns your business, audits your existing Google Ads accounts, and delivers a detailed action plan within 24 hours. From there, they implement everything across groas and Google Ads with zero work on your side.
In less than a year since shifting to full autonomy, groas now manages eight figures in monthly ad spend across its client base. Every account came through organic discovery or direct referrals — the company hasn’t spent anything on paid acquisition to date.
The client base has consolidated around two profiles:
Businesses moving away from agency relationships where results haven’t kept pace with cost. These are companies paying $5,000 to $15,000 per month and looking for more consistent performance and transparency. groas provides an alternative by automating day-to-day execution while reducing management overhead.
Agencies. This is now the larger segment. Agencies plug groas into their clients’ accounts behind the scenes, bundle the cost into your existing fees, and let the agent network handle day-to-day execution while their teams focus on strategy, creative direction, and client relationships. The implementation runs behind the scenes within agency workflows. groas turns a labor-intensive, low-margin service into something that scales without added headcount. groas offers a 30% lifetime recurring commission for referrals, but most of you choose to pay for it yourselves and keep the margin.
Google’s automation — from Performance Max to AI Max to broad match expansion — has pushed the industry toward more black-box control for years. Many advertisers feel they are losing visibility into what’s actually happening inside their campaigns. Meanwhile, agencies and recommendation-based products still run the old loop: review, recommend, wait for approval, implement, repeat.
groas occupies a category that didn’t exist. Instead of helping you manage campaigns better or relying on Google’s automation, it removes you from the execution loop while keeping you in the strategic loop through a dedicated account manager.
The PPC industry has spent two decades debating how much to automate. groas is the first to answer “everything” and back it up with eight figures in managed spend.
The growth points to something the industry has been circling for years without arriving at. The bottleneck in Google Ads performance has often been the limits of manual execution — constrained by time, attention, and the volume of data modern campaigns generate.
groas didn’t build a better recommendation engine — it reduced the need for traditional recommendation-based workflows.
groas starts at $999 per month for up to $15,000 in managed ad spend, scaling to $6,999 per month for up to $150,000. No contracts, lock-ins, or setup fees. The only requirement is at least $2,000 per month in Google Ads spend — below that, there isn’t enough data for the agents to optimize effectively.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2021/12/web-design-creative-services.jpg?fit=1500%2C600&ssl=16001500Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-04-21 11:00:002026-04-21 11:00:00groas introduces a fully autonomous approach to Google Ads management by groas
Yelp is rolling out its most significant AI update yet, centered on a new conversational “Yelp Assistant” designed to move users from searching to actually booking, ordering, and scheduling — all in one flow.
What’s new. Yelp Assistant sits at the center of the update, acting as a chatbot that can answer complex queries, recommend businesses, and complete actions like reservations or appointments without leaving the app.
Zoom in. The assistant pulls from Yelp’s massive base of user reviews and photos to generate tailored recommendations, explain why a business fits, and let users refine results conversationally. It can then take the next step — booking a table, ordering food, or requesting a quote — directly within the same interaction.
What else is new. Yelp is expanding integrations with platforms like Vagaro, Zocdoc, and Calendly to streamline bookings across categories like beauty, healthcare, and home services, while deepening delivery ties with DoorDash.
Also notable. An upgraded “Menu Vision” feature uses AI and visual overlays to show dishes, reviews, and photos in real time when scanning a menu, helping users decide what to order faster.
Why we care. Yelp is shifting from a discovery platform to a transaction-driven experience powered by AI. With Yelp Assistant handling recommendations and bookings in one flow, visibility alone may not be enough — businesses will need to be optimized for conversion within the platform. The update also signals more competition for high-intent users as Yelp tightens control over the path from search to purchase.
Between the lines. Yelp is leaning into AI not just for discovery, but for conversion — turning intent into transactions without sending users elsewhere.
What’s next. The assistant is live on iOS and Android with broader expansion across categories and desktop coming later this year.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2021/12/web-design-creative-services.jpg?fit=1500%2C600&ssl=16001500Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-04-21 11:00:002026-04-21 11:00:00Yelp launches AI-powered Assistant to streamline local search and bookings
New privacy laws will require marketers to think carefully about how they collect and manage data.
While many marketers aren’t overly concerned about the depreciation of third-party cookies, it’s recommended to explore cookieless solutions like Enhanced Conversions.
Several emerging platforms are on the rise, including gaming networks, digital out-of-home (DOOH) ads, connected TV (CTV) ads, and Brave Ads.
Paid social is as popular as ever thanks to the evolution of social media platforms as search engines and e-commerce hubs.
Want to mix up your paid ads strategy in 2026? Try user-generated content (UGC) or conversational advertising.
Short-form videos on TikTok or YouTube Shorts grab attention fast—just make sure your first five seconds are strong to hook viewers.
Premium placements like TikTok Pulse and YouTube Select allow advertisers to position their brands alongside trending, top-performing content for added credibility.
AI tools like Performance Max or Jasper can optimize bidding, generate creative, and streamline campaigns, helping marketers save time and improve ROI.
Want to upgrade your paid media strategy for the rest of 2026 and beyond? Whether you want to take advantage of AI, discover new platforms, or prepare to advertise in a world without third-party cookies, this guide is here to help.
Just as our Search Engine Rewind did for SEO trends, this guide combines expert insights from the paid media team at NP Digital and other paid marketers in the field.
You’ll learn which new paid media platforms you should be taking advantage of, how the paid social landscape is shifting, and the best practices you should focus on.
So, if you’re ready to discover the biggest paid media trends of 2026, read on.
Methodology
The insights in this guide come from two super knowledgeable resources.
The first is the team at NP Digital, which includes industry experts with decades of experience in paid search, social, and programmatic advertising.
The second is a group of 309 paid marketers who work at companies with over 250 employees. We surveyed marketers from across the U.S. to understand how they see the paid search landscape changing.
We asked this group about a range of paid search topics, such as emerging platforms, new targeting strategies, and the impact of artificial intelligence.
Privacy Concerns and Expanded Privacy Regulations
New privacy laws are changing how platforms and advertisers collect and use consumer data. A slew of U.S. states have recently enacted data privacy laws, including California (which amended and expanded the California Consumer Privacy Act to the California Privacy Rights Act), Colorado, Florida, Montana, Oregon, and Texas.
Google has reacted by adjusting its data collection practices. It has enabled Restricted Data Processing (RDP), which means the search platform shows only non-personalized ads to users in these states.
In Europe, the Digital Markets Act (DMA), which became applicable halfway through 2023, means major platforms like Google and Meta need explicit consent to collect and use personal data from consumers in the European Economic Area (EEA). That’s unlike most state-based privacy laws in the U.S., which let users opt out of personalized ads, but still displays them by default.
Data protection laws are also being introduced across Africa, the Middle East, and Asia. In most cases, businesses will need to introduce a cookie banner that lets users choose their preferences. You can also implement Google’s consent mode v2, which enables you to collect conversion data through a tag-based system and comply with regulations.
While platforms like Google generally help companies comply with privacy laws, you may find it easier to use a compliance management platform (CMP) that streamlines your paid media compliance efforts.
One privacy-related issue marketers don’t have to worry about just yet is the deprecation of third-party cookies in Chrome. Google has reversed its decision to remove cookies from its browser in response to concerns from the U.K.’s Competition and Markets Authority, along with demand from advertisers. Instead, it will continue to work on its Privacy Sandbox.
Even so, the majority (57.9 percent) of our survey respondents felt that the deprecation of cookies wouldn’t impact their paid marketing plans much.
That might be because they’ve already switched to less cookie-focused tracking methods like Google Ads’ enhanced conversion tracking. This method works in addition to your existing conversion tags, sending hashed first-party data from your website to Google in a privacy-focused manner.
The most popular paid marketing channels can be expensive. Four in 10 of our respondents said their pay-per-click (PPC) costs had increased over the past year, yet almost half (49.6 percent) of that group planned to double down on spending.
Cost per click (CPC) may become even more expensive due to the upcoming U.S. presidential election. The majority (70 percent) of marketers in our survey think the presidential election will impact paid advertising. This may stem from the fact that the results of presidential elections tend to have ripple effects in the business world as companies react to the potential economic policies of the incoming administration.
Those who say they are seeing higher PPC costs are more likely to seek out new forms of paid marketing—and there are plenty of up-and-coming paid media platforms and channels to choose from.
We’ve highlighted five of these new frontiers below.
Gaming
Gaming is a $350 billion industry with a highly engaged audience, so it’s no surprise that gaming ads are becoming more popular.
Our survey found that 57.3% percent of marketers were advertising there, with Twitch, Discord, and in-game ads as the most popular channels.
If you want to get started on Twitch, there are eight formats to choose from:
Headliner
Homepage Carousel
Medium Rectangle
Stream Display Ads
Streamable Ads
Super Leaderboard Ads
Twitch Premium Video Ads
First Impression Takeover
Of these formats, brands will be most interested in:
Headliner ads, which appear behind the paid-for carousel ads used by streamers
Stream display ads, which appear during live streams
Super leaderboard ads, which appear at the top of the page
Twitch premium video ads, short pre-roll, and mid-roll unskippable video ads
Note that you have the option to run self-service ads on Twitch through Amazon’s DSP, similar to the self-serve platforms of Meta and Google.
If you’d rather target gamers mid-game, a solution like Activision Blizzard’s Rewarded Video may do the trick.
These user-initiated in-game ads (like the Ben & Jerry’s ad above) let you connect with highly engaged gamers at key moments in combination with desirable player rewards they can use to advance through their game of choice. Brands can also use interactive end cards to increase audience engagement and drive higher click-through rates.
In-App Ads
In-app advertising is a win-win for brands and developers. It gives developers a source of additional revenue while letting brands reach targeted and engaged audiences.
Spending on this form of paid media is forecast to reach $352.7 billion in 2024 and $534.1 billion by 2029.
In-app advertising comes in various forms, including:
Interstitial ads
Video ads
Banner ads
Native ads
Here’s an example of an interstitial ad from Google’s AdMob network:
Advertisers can choose from a range of pricing models, too:
Cost per mille (CPM): Pay for every thousand views.
Cost per click (CPC): Only pay when your ad is clicked.
Cost per view (CPV): Only pay when users watch your video ad.
Cost per install (CPI): An app-specific pricing model through which you only pay when users install your app.
Cost per action (CPA): Only pay when users complete a predefined action.
In-app ads are an ideal and effective way for brands to target smartphone users. Research shows 42.6 percent of consumers have bought something after clicking on an in-app ad, and 56.5 percent of consumers have downloaded an app after an in-app ad recommended it.
The other great thing about in-app ads is that you aren’t just limited to using a single advertising platform. There are several to choose from, including Google’s AdMob, AppLovin, Publift, PropellerAds, and RevX.
Digital Out-Of-Home (DOOH)
Digital out-of-home media (DOOH) is one of the fastest-growing paid media sectors. Used by over 43 percent of respondents, it was the second most popular trending paid media option in our survey.
DOOH is a form of dynamic and data-driven outdoor advertising. Brands can tailor ads based on things like the time of day, the location of the signage, and even the weather. DOOH includes digital billboards and outdoor signage—as large as the billboards in Times Square or as small as the sign at your local bus stop.
DOOH offers several benefits over both online ads and traditional outdoor media:
There are no online ad blockers, meaning consumers will always be exposed to your ad.
You can engage consumers close to the point of sales with geofenced advertising.
Signage is dynamic, allowing brands to only pay for their ads to be shown at specific times of the day.
DOOH advertising isn’t perfect. It’s much harder to measure than online advertising since there’s no way of knowing for sure how many people walked past your ad or saw it. Inventory is also spread between multiple platforms, which can make campaigns hard to manage.
Connected TV (CTV) and Over-the-Top (OTT) Advertising
Want to reach consumers while they are watching TV? Connected TV ads and over-the-top advertising are two emerging channels to try.
Some use these two terms interchangeably, but they are slightly different.
Connected TV (CTV) advertising delivers targeted ads through internet-connected smart TVs. Over-the-top (OTT) advertising delivers ads through video streaming services like Hulu and Paramount+.
Regardless of which paid media format you use, both types of advertising have advantages over traditional TV ads.
Unlike traditional TV ads, which have to appeal to a broad audience, CTV ads can be hyperpersonalized and targeted. Brands can target audiences based on their viewing interests, for example, as well as their location and the time of day.
These ads are also much more measurable than traditional TV ads. Brands can track viewing, engagement, and conversion metrics like return on ad spend (ROAS), cost per completed view (CPCV), and gross rating points (GRPs) to optimize campaigns in real time.
CTV also has integrated ad buying options at your fingertips through Microsoft Advertising. Advertisers can manage CTV campaigns alongside search and display ads, simplifying ad management and removing the need for separate DSPs. Other benefits include:
Easy setup
No onboarding fees
Budget flexibility
Impression-based remarketing
Cohesive messaging across CTV and other formats
Leverages Microsoft’s vast first-party data to enhance personalization and performance.
CTV ads and over-the-top advertising were used by 40.8 percent and 43.3 percent of respondents in our survey, respectively.
But these ads are only going to become more popular. Connected TV ad spending is expected to reach $21.45 billion by the end of the year and grow by 13.9 percent year on year. OTT, on the other hand, projects to reach $11.14 billion and account for 3.7% of all digital ad spend.
Brave Ads
One emerging ad format used by only 29.1 percent of respondents in our survey (although 17.27 percent said they soon would) was Brave Ads.
If you don’t know much about Brave, it’s a free, open-source, Chromium-based browser that puts a premium on speed and privacy. It boasts over 78 million monthly active users and is popular with those who like Chrome but want a more private browsing experience. The browser has built-in ad blockers, its own crypto wallet, and even a search engine.
Brave Ads are ideal for reaching a unique audience of tech-savvy, privacy-first individuals who are harder to reach on other platforms. There are several ad formats you can choose from that cover both the platform’s browser and search engine:
Search ads:
A privacy-preserving text-based ad that appears at the top of the Brave search results page.
Tab takeover ads:
High-quality full-page images that feature in Brave’s new tab rotation.
Newsfeed ads:
Display ads that show in the private and customizable news feed that appears every time someone opens a new tab
Notifications ads:
Text-based ads with a call-to-action that appear during user browsing sessions.
One of the biggest benefits of Brave Ads is the ability to reach a unique target audience. Brave’s userbase spreads across over 200 countries. These users tend to be younger and privacy-conscious individuals—the kind of people who would have ad blockers on another browser like Chrome or Safari. Because these users have more trust in the Brave platform, ads on the platform don’t have the same perception of “spammy” or “intrusive” conventional paid ads might.
Perplexity Ads
Another emerging platform for advertisers is the AI generative search engine Perplexity, which boasts around 100 million search queries per week. In November, the platform announced that it would start launching ads in the form of sponsored follow-up questions. Note that these follow-ups would be generated by Perplexity, not your brand.
Some of the initial brands taking part include Indeed, Whole Foods Market, Universal McCann, PMG, and others. But what does an ad on a generative search engine look like?
Here’s an example: First, here’s a typical Perplexity question and response:
Now, here’s an example of a sponsored followup question.
Perplexity has the potential to open up a new potential audience for advertisers, even though the concept is in its relative infancy. The platform has shared that:
80% of its users have undergraduate degrees.
30% have what they call a “senior leadership position.”
65% are considered to work in “high-income white-collar professions.” Examples include law, medicine, and software engineering.
If you’re targeting that high-earning, well-educated audience, or want the lower competition of an emerging platform, Perplexity could be a good way to get started on the ground floor.
Social Media Landscape Shifts
Over 5 billion people around the world use social media, and 259 million new users have come online in the past year.
These networks are becoming much more than a way to connect with friends. Modern social platforms are news outlets, search engines, and storefronts.
The popularity of social media advertising isn’t in doubt—it was the most popular paid media campaign style among our respondents. But how marketers think about the network is changing.
Below, we look at four of the biggest paid social trends this year so far.
Expansion of Social Commerce
Social commerce is the fusion of social media and e-commerce. It’s a powerful combination that enables users to make purchases directly from their favorite social platform. U.S. social commerce was valued at $89.11 billion in 2022 and is expected to grow at a compound annual growth rate of 29.2 percent.
Facebook is the most popular social commerce platform overall, although platforms like Instagram, YouTube, and TikTok are leading the charge in social commerce, especially among Gen Z, who favor seamless in-app shopping experiences.
The great thing about social commerce from an advertiser’s point of view is they no longer have to convince users to leave the platform to make a purchase. Shoppable ads on platforms like Instagram, TikTok, and Facebook mean users can click a link in the post’s description, see the price, and make a purchase.
So, how can you get started?
Having your product feed in order is essential. These are the cornerstones of shoppable ads on most social media platforms, such as Facebook and TikTok.
These feeds let you take advantage of each platform’s unique shopping ad formats. On Facebook, that includes carousel collections, photo ads, and video ads.
Ad-Free Experiences
Social media platforms have always relied on ads to generate revenue. But that may not be the case for much longer since several social media platforms are trialing ad-free subscription models.
This includes X, with a Premium+ tier that costs $16 per month, Meta (which announced it will offer ad-free subscriptions to European users for €9.99—just under $11 in U.S. currency), and TikTok, which is piloting an ad-free subscription priced at $4.99.
While it remains to be seen just how many users will pay a subscription to use social media, advertisers should consider how to navigate ad-free social media networks in the future.
One obvious option is to invest more in influencer marketing. Paid users will still follow their favorite influencers, making this an easy way for brands to reach these consumers. Investing in nano- and micro-influencers, specifically, could help brands maintain reach in ad-free environments while keeping campaigns cost-effective.
The other solution is to grow organic followings using a paid ad strategy while you can. An ad-free social media experience doesn’t mean people won’t follow their favorite brands. So, community building may be the order of the day before consumers choose to forgo ads for good.
Social Media Is Becoming Its Own Search Platform
Social media platforms have become search engines for millions across the globe. Research by Adobe finds that two in five Americans use TikTok as a search engine, and 10 percent of Gen Z users are more likely to turn to TikTok than Google.
Platforms like YouTube and Instagram are also popular among people of all ages looking for information fast.
Speed is one reason consumers turn to social media instead of search engines. But so are trust and convenience. When people are on social media a lot more than Google, it’s much easier to turn to trusted sources like your favorite influencer or the app’s discovery section for advice.
Some social platforms are embracing this phenomenon, and advertisers would do well to follow. TikTok, for example, is launching Search Ads Toggle in Beta—a feature that allows brands to advertise in search results.
TikTok automatically creates ads using the advertiser’s existing content and serves them alongside organic results, as you can see above.
Nano- and Micro-Influencers Take Center Stage
Move aside, celebrities and social media mega influencers. The time of the micro- and nano-influencers has arrived.
Micro-influencers (people with 10,000 to 50,000 followers) and nano-influencers (people with 1,000 to 10,000 followers) may not have the follower counts of people like Jake Paul. But they have a lot of other characteristics that appeal to brand advertisers.
This includes:
Highly engaged audiences
Authenticity and relatability
Cost-effectiveness
While macro-influencers were the most popular with marketers in our survey, that’s primarily because they fit their business audience. Of the marketers who preferred nano-influencers, one-third said it was because they are more cost-effective.
Even the biggest brands work with micro-influencers.
Take Melizza Black, for example, a fangirl fashionista who partners with the likes of Disney, Pixar, and Universal Studios to promote new films, product ranges, and clothing merchandise.
In fact, survey respondents with budgets topping $200,000 were more likely to work with micro-influencers because of better campaign performance.
Linkedin Influencers For B2B Campaigns
Targeted B2B audiences with paid media campaigns has always had its unique challenges due to the longer buying cycles and more discerning preferences compared to B2B. Bringing Linkedin influencers into your paid campaigns can be a difference-maker in terms of providing that credibility and reach you need.
LinkedIn influencers bring a unique advantage to paid media campaigns due to their highly professional and engaged audiences. Since they are often focused on professional growth and industry-specific insights, they make a perfect fit for B2B campaigns.
Collaborating with Linkedin influencers allows brands to target a niche audience with tailored messaging, increasing conversion rates and ROI.
With that in mind, how do you fully harness the power of this growing option for paid media? Start by identifying individuals whose audience aligns with your target demographics.
For example, NP Digital co-founder Neil Patel is a successful Linkedin influencer, buiilding an audience of over 680k followers on the platform.
This would make him an ideal fit for any paid campaign related to digital marketing services or tools due to his established success in the space.
Use tools like LinkedIn’s Creator Mode analytics or platforms like BuzzSumo to evaluate influencer performance metrics such as engagement rates and follower authenticity.
Once you start your Linkedin partnership, prioritize authenticity in your paid campaigns. LinkedIn audiences are particularly sensitive to overtly promotional content, so it’s essential to frame your message as an industry-relevant insight or case study. Personal anecdotes or professional experiences tied to your product can boost credibility and audience trust as well.
Developing Practices for Paid Media
The strategies advertisers use to craft the best paid ads are constantly changing. Whether it’s the format, platform, or bidding strategy, it’s important to stay ahead of the curve and use the latest techniques to create ads that resonate with audiences and drive return on investment (ROI).
Short-Form Video
Want to seize a user’s attention? Short-form videos are the way to go.
A short-form video is between three and 90 seconds long. Most commonly found on TikTok, this video format has quickly spread to YouTube, Instagram, and Facebook.
Short-form videos are popular for both organic and paid marketing efforts thanks to high engagement rates, lower costs, and simple messaging.
You can create short-form video ads on any of these platforms, but TikTok and YouTube Shorts are the most popular and effective. YouTube Shorts boasts more than 2.3 billion monthly users, and 70 billion daily views, for example, while TikTok has over 1 billion global monthly active users.
Google’s making several new initiatives for YouTube Shorts advertising to take advantage of this newfound popularity, including:
The introduction of the YouTube Select Shorts lineup, where advertisers can place ads next to curated popular Shorts content.
Tailoring its ABCD framework for short-form content, which emphasizes strategies like capturing attention quickly and integrating branding early. Additionally,
Three things are critical to succeed with short-form video ads. The first is to make the first five seconds of your video as captivating as possible. The better your hook, the fewer users will click skip.
Second, ensure you have a single, clear message. Don’t try to highlight multiple unique selling propositions (USPs) or target different audiences in a 30-second short. Short, sweet, and to the point is the order of the day.
Lastly, Google reports that creator-led ads on YouTube Shorts can achieve up to 20% higher conversions than traditional branded ads. You can apply this lesson to any short-video platform, and work with relevant influencers on the platform to increase your reach and credibility.
Immersive and Interactive Experiences (AR and VR)
You probably can’t remember the last ad you saw. But it’s more likely you can remember the last time you experienced augmented reality (AR) or virtual reality (VR).
That’s why AR and VR ad experiences are becoming increasingly popular with major brands. The AR market alone is expected to hit $5.2 billion by the end of the year.
While traditional ads are passive affairs that struggle to capture our attention, augmented and virtual reality ads create an interactive and memorable experience.
Take Coca-Cola Zero Sugar’s #TakeATasteNow out-of-home augmented reality campaign that launched at the end of 2023. Rolled out across 13 U.K. locations, the AR ad experience enabled customers to interact with digital billboards in real time by scanning a QR code to redeem a Coca-Cola in a nearby store.
AR and VR ads don’t have to be high-budget guerilla advertising campaigns, however. IKEA has seen success with IKEA Place, an app that launched in 2017 and lets customers use AR to place IKEA products around their homes.
User-Generated Content (UGC)
User-generated content (UGC) is a popular organic social media strategy, but you can also use it in paid campaigns.
In fact, it can go a long way toward improving your ad conversion rates, given that visitors who interact with UGC convert 102.4 percent higher than average.
UGC also improves the authenticity of your ads. It’s hard to make a paid ad truly authentic, but reviews and recommendations from real customers help humanize your campaigns.
Integrating UGC into your paid ads campaign can be as simple as dropping a testimonial into your next creative, as Peet’s Coffee does here:
Or you can use video reviews as your ad’s main creative, as the beauty brand Prose does below:
Conversational advertising uses personalized and automated conversations to encourage users to take action.
Rather than a static image or scripted video, conversational ads use a chat interface to mimic a real-life conversation. Users can select predefined messages that can change the nature of the conversation and lead to different outcomes.
Facebook and LinkedIn are the two social platforms that work best for this paid media strategy. LinkedIn Message Ads lets you send sponsored direct messages to a specific set of users on the platform, for example. Facebook Messenger Ads are conversational ads that appear in the Messenger app.
But social media isn’t the only place you’ll find these ads. You can also re-create a chatbot interface using banner ads. Here’s an example from Emirates Vacations:
Contextual Targeting
Contextual advertising is a type of targeted digital advertising where ads change depending on the content of the webpage.
Contextual targeting can either be keyword-based or semantic:
Keywords: Platforms use on-page keywords to serve targeted ads.
Semantic: Platforms use AI to understand the meaning of the page rather than just identifying keywords.
Contextual targeting is an excellent way to serve relevant ads to an engaged audience without relying on third-party cookies. If someone is reading a page about tourist destinations in Bali, you can be pretty sure they’ll be interested in a hotel or flight to the region.
Contextual targeting can also be quite cost-effective, especially compared with behavioral marketing campaigns that require massive amounts of user data. This makes it easier to implement, too.
There are plenty of platforms you can use to get started with contextual ads, including Google AdSense, DV360, the Yahoo! Bing Network, and Media.net.
Premium Inventory Opportunities
Want to give your ads the best chance of success in 2026 and beyond? Consider leveraging the premium inventory opportunities available on several social media platforms.
Premium ad inventories are the most expensive and exclusive ad spaces on these platforms. They typically appear under or alongside the most on-trend and relevant content.
TikTok Pulse suite, for example, places your ads immediately after the best in-feed content. There are several options, including:
Max Pulse: Ads placed next to the top 4 percent of content on the platform, according to the Pulse Score.
Category Lineups: Ads inside TikTok’s Pulse Lineups, a collection of top-performing content across a dozen categories.
Seasonal Lineups: The seasonal equivalent of category lineups, where ads are placed alongside top-performing content from holiday events like Thanksgiving and the Fourth of July.
Pulse Premiere: Ads placed after top-performing content in the lifestyle & education, sports, and entertainment categories.
YouTube Select is a similar program that shows ads alongside the top 5 percent of the platform’s most viewed content.
Premium inventory opportunities are a fantastic way to associate your business with the biggest brands and content creators. This network effect can be a great way to increase brand awareness. Thirty-four percent of survey respondents said they are already using opportunities like this, with another 20 percent planning to start using them in the next year.
Gen Z And Social Responsibility
Want to attract younger consumers with paid media? Then you better be a socially responsible corporation.
Gen Z has strong values and expects brands to share them. McKinsey research finds that almost three-quarters (73 percent) of Gen Z try to purchase from ethical companies. Nine in 10 believe companies have a responsibility to address social and environmental issues.
As “digital natives”—the first generation to grow up surrounded by technology—your best bet for reaching Gen Z is through digital channels. But not just any ad will do. Sprout Social found that 73 percent of Gen Z consumers think brands should raise awareness and take a stand on sensitive issues.
By taking a stand against fast fashion and partnering with well-known social activists, including Xiye Bastida, Emma Chamberlain, and Marcus Rashford, the brand raised awareness of our shared environmental responsibility while promoting the quality of its products and attracting a new, younger generation of customers.
AI’s Impact on Advertising
It wouldn’t be a 2026 trends article if we didn’t end with a section about AI, would it? The truth is there’s a lot to cover. AI has become so pervasive that it’s impacting almost every part of the paid media world—and the majority of our survey respondents are already using it in their campaigns.
Ad creation is one common use case. Google’s Dynamic Search Ads feature uses AI algorithms and content on your existing website to automatically create relevant ads and show them to customers searching for the exact product or service you offer.
Meta also has a Dynamic Ads offering, which can automatically promote all your products across Facebook and Instagram.
Then there are generative AI tools like ChatGPT or Jasper, which you can use to create ad copy in seconds.
Soon enough, though, you won’t even need to leave your native ad platform of choice for generative AI support. Many of the major players, like Google, Meta, and TikTok are all building native creative solutions that can auto-generate copy and creative.
Google, in particular, is taking this capability to the next level, using AI to assist advertisers with video and voice-over capabilities, enhancing the efficiency and quality of ad creation. The platform includes features such as AI-powered video editing and text-to-speech functionality for YouTube ads.
Imagine being able to input a script, choose a variety of voices, and create natural-sounding audio overlays, This allows for flexible and quick adjustments to match your brand voice, making video content production more efficient and accessible than ever.
AI can run your campaign for you, too. Over one-third of our respondents used AI-powered paid bidding strategies, for example, which was the top use case in our survey. In addition, when it comes to taking advantage of Google’s capabilities to generate creative using AI, our survey respondents were very intrigued.
Speaking of Google’s AI improvements, Performance Max (PMax) campaigns are a great example of this technology. Performance Max campaigns deliver broad, conversion-focused coverage with the use of AI. The results are impressive, with Google claiming marketers are seeing 27 percent more conversions.
Not that Google is resting on its laurels. The search giant is making a series of improvements to PMax by:
Optimizing broad matches by 10% for advertisers using smart bidding
Adding the ability to see ad performance by creative and placement details
Implementing YouTube exclusions
Introducing a profit optimization goal in Smart Bidding, which optimizes for profit using data from cart-level conversions and your Merchant Center account
If you already have paid media campaigns set up, there are several third-party platforms that let you leverage AI to improve campaign performance. These include Trapica and Adsmurai.
What do all the AI leaps mean for paid media marketers? Well, the role is evolving. The advent of AI simplifying tasks like content generation, bidding, and more means that there is less time spent on tedium and more time on higher-level tasks, with supervision for that AI output. Paid media professionals are becoming more a hybrid campaign/creative/strategy manager role.
FAQs
How have paid media trends shifted for healthcare recently?
Healthcare paid media has shifted from aggressive targeting and quick conversions to privacy-first, trust-driven marketing.
You can’t rely on hyper-targeting like before. Privacy rules and platform changes have limited how precisely you can track and target users. So the focus has moved to intent and context—think search queries, location, and content people are actively engaging with.
At the same time, the strategy has expanded beyond just paid search. Search still captures demand, but channels like YouTube, social, and even connected TV are now critical for building trust before someone ever clicks.
Content plays a bigger role too. Educational ads, doctor-led videos, and patient stories outperform hard “book now” pushes because healthcare decisions take time.
Bottom line: healthcare paid media isn’t just about driving clicks anymore. It’s about showing up early, building credibility, and staying visible until the patient is ready to act.
Conclusion
Paid media is one of the most dynamic and fast-paced marketing environments. Things can change significantly from month to month, and there are always new trends and platforms you can use to drive more revenue and generate higher returns on your investment.
New trends may not last, but that doesn’t mean you shouldn’t be experimenting. You never know: Contextual advertising, short-form video, or in-app ads may be your new highest-converting channel.
Then it’s all about executing. And remember, the faster you execute, the better positioned you’ll be to take advantage of new paid marketing trends and digital marketing predictions in 2026 and beyond.
If you want even more insights on these upcoming trends, check out our full report on the NP Digital website.
Google’s Ask Maps feature does more than help users find nearby businesses.
Based on hands-on testing of local service queries for plumbers, electricians, and HVAC companies, Ask Maps often narrows the field, interprets user intent, and frames businesses around qualities such as responsiveness, specialization, honesty, and repair-first thinking.
In more complex prompts, it sometimes provides guidance before recommending businesses. This shows Google Maps moving beyond simple local retrieval and toward a more recommendation-driven experience.
To evaluate that shift, we tested Ask Maps across five levels of local intent — starting with simple category searches and progressing toward conversational prompts involving uncertainty, trust, and decision-making.
A clear pattern emerged. As query nuance increased, Ask Maps shifted from listing businesses to interpreting which businesses fit and why.
This article draws from hands-on testing across a limited set of local service queries in one geographic area. Treat these findings as an early directional view, not a comprehensive representation across all markets or query types.
The testing framework
To evaluate progression, we built a five-level intent model based on how homeowners and local service customers actually search. Instead of organizing around traditional keyword categories, we structured the framework from simple retrieval toward conversational decision-making.
Level 1 focused on basic requests with minimal context.
Example: “Looking for an HVAC company near me.”
Level 2 introduced more service specificity.
Example: “I need an electrician to upgrade my panel in an older home.”
Level 3 moved into situational queries, where the user described a problem.
Example: “My furnace is making a loud banging noise and I’m not sure if it needs to be replaced or repaired.”
Level 4 introduced trust and decision concerns.
Example: “I think my furnace might need to be replaced, but I don’t want to get overcharged. Who is honest about that?”
Level 5 combined those elements into fully conversational prompts asking for guidance, validation, and recommendations in the same search.
Example: “I was told I need a full furnace replacement, but it feels expensive. How do I know if that’s actually necessary, and who should I call for a second opinion in my area?”
This framework allowed us to evaluate:
Which businesses appeared.
How Ask Maps interpreted prompts.
What attributes it emphasized.
When results started to resemble guided recommendations rather than search results.
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Ask Maps narrows the field and adds interpretation
One of the clearest patterns across the testing was that Ask Maps consistently returned a relatively small set of businesses while increasing the amount of interpretation as the user’s search intent became more complex.
At Level 1, the average number of businesses shown was 3.6. Level 2 rose to 4.3. Level 3 dropped slightly to 3.3. Level 4 averaged 5, and Level 5 averaged 4.6. Across the full set, the range remained fairly tight, generally between three and eight businesses.
That’s a different experience from traditional Maps, where a user can scroll through a much broader set of options and do more of the evaluation work themselves.
Ask Maps narrows choices early and spends more effort explaining why those businesses fit the prompt, but stops short of being fully action-oriented. Even when a phone number is shown, there’s no clickable call button directly in the Ask Maps response.
To call or access the full set of contact options, the user still has to click into the business’s Google Business Profile. That matters because while Ask Maps is becoming more interpretive, the underlying GBP is still where action happens.
As prompts become more nuanced, uncertain, or trust-sensitive, Ask Maps draws on a broader range of sources. It shows fewer businesses, replacing breadth with interpretation.
Even the simplest queries don’t behave like a traditional Maps result.
At the baseline level, Ask Maps still relies heavily on Google Business Profile data, including:
Business descriptions.
Review content.
Ratings.
Hours.
In some cases, posts.
Website influence is minimal here, and there’s little evidence of outside sourcing. But even within that mostly closed ecosystem, it goes beyond listing nearby businesses.
Instead of just showing names, ratings, and locations, Ask Maps:
Generates narrative summaries based on information in the Google Business Profile.
Describes businesses in terms of responsiveness, experience, specialization, or the kinds of situations they seem well-suited for.
Draws on reviews when framing businesses.
Even at the most basic level, Ask Maps isn’t neutral. It’s beginning to interpret businesses for the user.
As queries become more specific, Ask Maps starts matching capability
Once the prompt shifts from a general service search to a specific type of job, Ask Maps becomes more selective in how it matches businesses to the request.
A query about an electrical panel upgrade doesn’t behave the same way as a query about urgent AC repair.
Replacement-oriented prompts emphasize installation and system expertise.
Repair-oriented prompts emphasize speed, availability, and responsiveness.
Queries tied to older homes or higher-risk work call for more evidence of specialization.
At this level, Google Business Profile and reviews still carry much of the weight, but websites matter more when the job is more complex or costly. A panel upgrade query produces stronger external link usage than a more straightforward AC repair prompt.
That doesn’t mean websites are always heavily used. It shows more selectivity. As decisions become more complex, Google looks for more supporting evidence before recommending businesses.
The more noticeable shift begins once the prompts move from service categories to real-world scenarios.
At Level 3, the user is no longer looking for a plumber, electrician, or HVAC company. Instead, they’re describing a problem, such as a loud banging furnace, outdated electrical in an older home, or an AC unit that has stopped working during extreme heat. In those cases, Ask Maps increasingly interprets the problem before introducing businesses.
Some responses provide guidance or context first. Others identify the provider and clarify the work before making recommendations. The businesses that follow aren’t framed as generic providers. They’re framed as possible solutions to the situation.
Review content becomes important here. Rather than simply supporting a business’s credibility, reviews act as evidence that the company has handled similar situations before. Fast arrival times, experience with older homes, communication during stressful repairs, and problem-solving ability all become more meaningful when describing businesses.
This is the point where Ask Maps moves more clearly from retrieval to interpretation.
Trust-oriented queries change what gets emphasized
When the prompts introduce fear, skepticism, or concern about making the wrong decision, Ask Maps changes again.
At Level 4, the focus is less on the service need itself and more on the emotional context around it. The user is worried about being overcharged, being pushed into unnecessary replacement, or hiring someone who would cut corners.
Ask Maps doesn’t just return businesses capable of doing the work. It organizes businesses around trust-related qualities such as honesty, transparency, careful workmanship, fairness, and second-opinion value.
This is one of the strongest patterns in the research. At this stage, review language is the primary signal shaping how businesses are framed. Specific phrases and anecdotes matter, elevating businesses that explain options clearly, don’t upsell, offer honest assessments, or deliver careful, professional work.
External sources become more relevant here. In addition to GBP information and reviews, Ask Maps shows more willingness to pull from company websites, testimonials, third-party platforms, and educational resources when the user’s concern involves decision risk rather than just service need.
Once the query becomes trust-driven, the recommendation no longer appears to be based only on who can do the job. It reflects who is most likely to handle the situation in a way that the user feels good about.
The strongest example of this progression came at Level 5. These are prompts where the user combines a problem, uncertainty, and a request for recommendations in a single query.
For example, someone might say they were told they needed a full furnace replacement but were unsure whether that was really necessary and wanted to know who to call for a second opinion. In these cases, Ask Maps moves most clearly into a decision-support role.
Instead of leading with local businesses, it often starts with an explanation, introducing frameworks, safety context, or ways to think about the decision.
Only after that does it recommend businesses, and those businesses are often grouped not just by rating or proximity, but by approach. Some are framed as repair-first options. Others are framed as second-opinion experts or safety-focused specialists.
This is where Ask Maps feels least like a directory and most like an advisor. The structure of the response looks more like a guided decision process than a traditional local search result.
That doesn’t mean the system is flawless or that every answer is equally strong. But it does suggest that when a prompt includes uncertainty and a need for validation, Ask Maps is trying to do more than match a category. It’s trying to help the user think through what to do next.
Across the testing, several source patterns appear repeatedly, and the mix appears to shift depending on the type of query.
At the foundation, Google Business Profile does much of the early work. Business categories, service descriptions, hours, ratings, and review counts help determine which businesses are eligible to appear and how they are initially framed. In some cases, Ask Maps also pulls from GBP services and products, business descriptions, and occasionally posts when those help reinforce what the business does.
Reviews seem to be one of the most important inputs across nearly every query type. Not just in ratings, but in how review language shapes the summary.
Ask Maps often draws on review themes tied to:
Responsiveness.
Honesty.
Professionalism.
Fast arrival times.
Work on older homes.
Repair-versus-replace situations.
Whether customers feel the company explains options clearly or avoids unnecessary upselling.
In other words, reviews support reputation and help define how a business is positioned in the response.
Business websites matter more once the query becomes more specific, higher-stakes, or more tied to decision-making. In those cases, Ask Maps seems more likely to pull in service pages, testimonial pages, or other on-site business information that helps reinforce specialization, repair-first positioning, second-opinion value, or experience with a particular type of job.
That’s more noticeable in queries tied to things like panel upgrades, replacement decisions, or older-home electrical concerns than in simpler “near me” searches.
External sources are the most selective layer, but they become more visible when the query involves safety, diagnosis, pricing uncertainty, or broader decision support.
In those cases, Ask Maps pulls in:
Educational content around issues like repair-versus-replace decisions, quote validation, and electrical safety.
Third-party review and directory platforms such as Angi, HomeAdvisor, YouTube, and Facebook.
Other publicly available business information, when it helps reinforce trust, workmanship, or reputation.
In some of the trust-oriented electrician queries in particular, this outside sourcing is more prominent than in simpler local lookups, suggesting Google may broaden its evidence base when evaluating how a business is likely to operate, not just what services it offers.
Ask Maps isn’t relying on a single source of truth. It appears to be constructing an answer from a mix of Google Business Profile data, review language, business website content, and selectively chosen outside sources, with the balance shifting based on what the user is actually asking.
What this may mean for local visibility
If Ask Maps continues to develop in this direction, it could have meaningful implications for local visibility in Google Maps.
Inclusion alone may matter less than interpretation. If Ask Maps is consistently showing a smaller set of businesses and adding more explanation around them, the question is no longer just whether a business appears. It’s also how that business is framed and whether Google has enough confidence to position it as a good fit for the situation.
Review content is becoming more important than many businesses realize. The language within reviews appears to influence not just credibility, but the actual way a business is described and recommended.
Website content plays a more targeted role than many local businesses assume. It may not be equally important for every prompt, but it matters more when the service is complex, expensive, or tied to greater uncertainty.
More broadly, Ask Maps points toward a version of local search in which retrieval, evaluation, and decision support occur much more closely together. Instead of searching, comparing, researching, and then deciding across several steps, the user may increasingly be guided through much of that process within a single AI-mediated Maps experience.
What businesses and SEOs should tighten up now
If Ask Maps continues moving in this direction, the practical response isn’t to chase a new tactic or treat it like a separate channel. It’s to make the business easier for Google to understand and easier for customers to trust.
Keep the Google Business Profile current and specific
A Google Business Profile may play a bigger role when Ask Maps is trying to decide what a business does, what kinds of jobs it handles, and whether it fits a more nuanced prompt.
Review primary and secondary categories to make sure they reflect the core work accurately.
Tighten the business description so it clearly explains the services offered, the types of jobs handled, and any specialties or areas of focus.
Make sure hours, service areas, and contact details are complete and current.
Add photos that reinforce the kinds of jobs the business wants to be associated with.
Treat posts and profile updates as another way to reinforce services and activity, not just as optional extras.
Use the Services and Products sections fully, adding clear descriptions that reflect the specific jobs, specialties, and situations the business wants to be known for.
Pay closer attention to review language
If Ask Maps uses review language to shape how businesses are positioned, then the wording in reviews may matter more than many businesses realize.
Look beyond review volume and average rating.
Pay attention to whether reviews naturally mention specific jobs, customer concerns, and outcomes.
Watch for language around responsiveness, honesty, professionalism, repair-first thinking, and clear communication.
Encourage reviews that reflect real experiences rather than generic praise.
Use review trends to understand how the business is likely being framed by Google.
Revisit website content for higher-consideration services
Website content appears more likely to matter when the query is more complex, more expensive, or tied to more uncertainty.
Strengthen service pages for the higher-value or higher-risk work the business wants to be known for.
Add FAQs that address real decision points, not just basic definitions.
Include examples of the kinds of jobs handled, especially where context matters.
Reinforce trust signals such as experience, process, reviews, and proof of work.
Use language that helps explain situations like repair versus replace, older-home work, or second-opinion scenarios.
Think beyond ranking for a phrase
There’s a broader strategic shift here for local SEO. The question may no longer be only whether a business can rank for a phrase. It may also be whether Google has enough evidence to recommend that business in response to a real-world question.
Evaluate whether the business is easy to understand across GBP, reviews, website content, and broader digital mentions.
Look at whether the business is clearly associated with the jobs and situations it wants to win.
Think about trust and decision support, not just service relevance.
Focus on making the business more legible to both Google and potential customers.
Treat local optimization less like keyword matching alone and more like building a clear, consistent business profile across sources.
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The direction of Ask Maps is becoming clearer
The main question behind this research was when Ask Maps stops behaving like a directory and starts behaving more like a recommendation engine. Based on this testing, that shift starts earlier than many might expect.
Even at the most basic level, Ask Maps narrows, summarizes, and interprets. As prompts become more specific, situational, and trust-driven, they move further toward guided recommendations. At the highest level of complexity, it begins to look less like traditional local search and more like a system designed to help users make decisions.
That doesn’t mean Google Maps has fully changed into something else. But it does suggest the direction is becoming clearer. For local businesses and the people who support them, that makes this worth watching closely. Visibility inside Maps may increasingly depend not just on being present, but on being understood well enough for Google to explain why the business fits the user’s needs.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2021/12/web-design-creative-services.jpg?fit=1500%2C600&ssl=16001500Dubado Solutionshttp://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.pngDubado Solutions2026-04-14 13:00:002026-04-14 13:00:00Google Ask Maps is moving from listings to recommendations
