Your firm has a website, a handful of blog posts, and maybe a paid listing on Avvo, yet the personal injury firm three blocks over keeps showing up first…
The post SEO for Lawyers: a 10-Step Playbook to Rank Higher and Win More Clients appeared first on Mangools.
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Hidden gem publishers have 1.7x higher audience affinity than major media outlets, even though they attract 130x less traffic. If that makes you rethink your 2026 earned media strategy, it should.
Fractl’s latest SparkToro-backed research suggests most digital PR teams still build media lists using outdated SEO metrics such as domain authority and traffic. (Disclosure: I’m the co-founder of Fractl.) In AI-driven search, entity authority shapes brand visibility. A narrow media-list strategy is increasingly misaligned.
If you’re still learning about generative engine optimization (GEO), entity authority is the cumulative signal created when your brand is repeatedly associated with credible sources across influential channels in your niche.
In plain terms, your brand visibility now relies on which sites mention you, which audiences engage with those sites, and whether your brand keeps showing up across trusted nodes.
For years, digital PR teams built media lists the same way SEO teams built link targets: prioritizing domain authority, traffic, and referring domains. That made sense when backlinks were the primary goal.
But AI-driven discovery is changing what “authority” actually means.
When ChatGPT, Gemini, Perplexity, or Google’s AI experiences synthesize information about your brand, they’re not just evaluating whether your website is optimized. They’re pulling from the broader web of sources that repeatedly mention and contextualize your brand.
A placement on a smaller, highly relevant industry publication can sometimes do more to reinforce your brand’s entity authority than a broad mention on a much larger site.
That shift reflects what we’ve seen across years of earned media campaigns spanning major publishers like The Wall Street Journal, The New York Times, and CNBC, alongside niche publications such as PCMag, Men’s Health, and Travel + Leisure.
Today, those campaigns often extend far beyond backlinks, generating TV coverage, Reddit discussions, podcasts, YouTube commentary, and other third-party mentions that reinforce brand authority across search, social, and AI-driven discovery.
See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.
We wanted to understand which publishers and platforms actually drive influence with the audiences brands want to reach. That question led to this study.
We used SparkToro’s audience affinity data as a relevance layer on top of traditional earned media and SEO metrics. Rather than starting with the largest publications in each category, we began with the audiences brands want to influence: decision-makers, buyers, and practitioners across eight industries.
We then analyzed where those audiences spend time across websites, YouTube channels, podcasts, social accounts, and community-led platforms.
After separating mainstream publishers from vertical-specific outlets, we compared audience affinity against traditional signals such as domain rating, organic traffic, and referring domains.
The study revealed a major blind spot: “Hidden gem” publishers had 1.7x higher audience affinity than mainstream media outlets, despite attracting 130x less traffic.
Many highly relevant publications would never surface on a traffic- or authority-sorted media list, even though they may play an important role in shaping the topical associations AI systems use to understand and describe brands.
The takeaway: Traffic and authority are incomplete proxies for the kind of relevance AI systems increasingly depend on.
When pitching brand content, we typically build a list of journalists whose beats closely align with each campaign’s key insights, which often span several verticals. We then identify the publisher best suited for an exclusive by prioritizing domain authority.
This approach creates a built-in syndication effect, with regional and niche journalists often picking up stories from larger publications. That’s how we regularly earn brand features like this, without ever pitching TV news anchors.
While this remains an effective approach for scaling earned media that builds brand authority and awareness, SparkToro’s data revealed that more vertically focused publishers with minimal traffic (often 5,000-10,000 monthly visits) and mid-tier domain authority (typically in the 60s and 70s) often have much higher audience affinity.
This finding highlights the value of pitching low-traffic, niche publishers that old-school SEO practitioners might once have deprioritized or excluded from outreach.
Across every industry we analyzed, the same pattern emerged: Smaller, niche sites with modest traffic consistently earned the highest affinity scores among the audiences that matter most.
The placements with the greatest strategic value for building entity authority may be the very ones your digital PR team has been overlooking.
I started in SEO in 2006, and the same guiding principle that shaped my career is now being reinforced by a growing body of research: Brand visibility in AI is built through a diverse, authoritative network of brand mentions.
Monthly organic traffic remains a weak proxy for audience alignment, and AI systems synthesizing information about your brand may weigh that distinction more heavily than traditional ranking algorithms do.
We plotted audience affinity against monthly organic traffic, and two distinct clusters immediately emerged.
“Hidden gem” publishers clustered in the upper-left quadrant: high affinity, low traffic. Major publishers occupied the lower-right: high traffic, low affinity.
The 1.7x affinity gap and 130x traffic gap tell the same story from opposite directions: Reach and relevance are inversely correlated more often than most earned media strategies account for.
What stands out in this dataset isn’t just that niche sites outperform on average. It’s how consistently they appear at the very top of the affinity range.
The highest-scoring publishers across industries, including recruitingdaily.com (93), clubindustry.com (90), and chimecentral.org (86), attract just 2,000-10,000 monthly visits.
Meanwhile, many of the largest, most recognizable publishers fall in the 50–65 affinity range, with some scoring in the teens despite attracting hundreds of thousands of monthly visits.
Ultimately, the smartest media mix isn’t mainstream or niche. It’s both. Major publishers still matter for scale, authority, and SEO value, but their broad audiences make beat-level relevance even more important.
The more precisely you place a story within the right category on a large publication while also earning coverage from niche, high-affinity outlets, the more effectively you compound brand visibility across SEO and GEO.
The best media strategies engineer both reach and relevance.
High-affinity authority isn’t limited to publishers.
When we expanded the analysis beyond traditional editorial outlets, YouTube, Reddit, and podcasts repeatedly emerged as influential audience hubs. That matters because AI-driven discovery is increasingly shaped by the broader web of brand mentions.
This shift should expand the definition of earned media. A founder interview on a niche YouTube channel, a data-led discussion in a relevant subreddit, or a subject-matter expert appearance on an industry podcast can all reinforce the same entity associations as a traditional article.
The format may differ, but the strategic value is the same: repeated third-party validation around the topics you want your brand to be known for.
The mistake is treating these channels as post-publication promotion. They should be part of your media strategy from the beginning.
If your campaign is built around original research, expert commentary, or proprietary data, plan how that story can be repurposed to earn brand mentions across publishers, YouTube, Reddit, podcasts, newsletters, and social communities before the first pitch goes out.
I entered SEO when authority could be manufactured through paid link networks. Today, AI systems infer authority very differently by recognizing patterns of trusted, third-party validation across the web.
That shift changes how you should think about earned media. Success isn’t measured only by the authority or traffic of the publications that mention your brand. It’s also shaped by whether those publications reach the audiences you care about and reinforce the topics you want AI systems to associate with your brand.
Traffic and domain authority still matter, but they don’t tell you whether your brand is being reinforced across the sources AI systems retrieve from. Audience affinity adds another layer, helping you identify the placements most likely to strengthen your visibility across AI search experiences.
The takeaway isn’t to stop pitching top-tier press. It’s to stop treating top-tier press as the whole plan.
Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions.
A GEO-ready media list isn’t bigger. It’s better balanced.
AI visibility compounds through repetition. A well-placed story on a high-affinity publisher can reinforce the same entity associations as a mainstream feature, especially when it’s republished, cited, discussed by subject matter experts, and adapted across channels.
That’s how a single earned media campaign can shape more than rankings. It can influence the broader context AI systems use to retrieve, describe, and recommend your brand.
The brands that win in AI search won’t necessarily be the ones with the most optimized websites. They’ll be the ones most consistently validated across the sources their audiences and AI systems trust.
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You’ve set up your website, and it’s looking good at first, but then your engagement and your traffic are falling. Wondering what’s going on? You’re not alone.
According to Ahrefs, 96.55 percent of content gets no organic traffic from Google.
If you’re panicked, don’t be. An SEO audit can reveal common on-page or technical SEO issues that might be affecting your online performance.
That’s great news because acting on what you learn from an audit can increase your rankings, along with visitor numbers and conversions.
If you’re not sure where to start, this guide walks you through it step by step.
Before we get into it, let’s explain what an SEO site audit is and why it’s necessary.
An SEO audit is a comprehensive analysis of a website and its search engine ranking that highlights areas for improvement. The process evaluates your on-page and technical SEO metrics, content quality, and backlink profile. These days, a full audit should also include an assessment of your AI visibility.
SEO audits can help spot potential areas of opportunity, like:
An SEO audit is expansive, involving all major areas of your website. If that sounds like a lot of work, maybe you need proof that a website SEO audit is worthwhile. I’ve got it.
A detailed SEO audit by NP Digital for the customer experience (CX) automation platform Verint resulted in a significant increase in organic traffic. Specifically, we saw:
To optimize your online results, you should conduct regular audits. Twice a year or quarterly is a good baseline, but you might also want to do an audit if:
You’ll also want to perform an SEO audit after a website migration or search engine algorithm update. This will help you spot SEO challenges early and take the appropriate action.
SEO audits can take anywhere from a few hours to six weeks, but the right tools make them far more manageable.
Source: https://app.neilpatel.com/en/seo_analyzer/site_audit
Google has more than 200 different ranking factors, so figuring out where you’re going wrong can be tough. However, a comprehensive SEO site audit can uncover the cause and enable you to create an action plan to fix it.
Here’s how to perform an SEO audit:
To start, log in to Ubersuggest, click Site Audit in the left-hand menu, enter your URL, and click “Search.”
The crawl returns an on-page SEO score along with site metrics like organic monthly traffic, organic keywords, and backlinks (as seen in the screenshot below). Below that, you get a list of critical errors, warnings, and recommendations to help boost your rankings.
Scroll down more, and you’ll also find a Site Speed report. Drawing on real visitor data from the past 28 days, it breaks performance into load time, interactivity, and visual stability, each rated on a scale from good to poor, so you can see what needs attention.
For larger sites with hundreds or thousands of pages, consider running the crawl on a staging environment first. This lets you catch issues and test fixes before they affect your live site.
Organic traffic is the number of visitors who reach your site without paid search ads. You earn it from backlinks, brand mentions, and social media posts. It’s a strong indicator of your site’s popularity, content quality, and SEO effectiveness, and it can deliver real return on investment (ROI). Use this calculator to estimate the value of organic search.
A drop in traffic or falling rankings often signals that your SEO strategy needs adjusting. Google algorithm changes can also cause dips through penalties or manual actions.
Measure organic traffic with Website Traffic Checker, Google Analytics 4 (GA4), Google Search Console, Bing Webmaster Tools, or your web host’s internal analytics. In GA4, segment by landing page and device to spot which pages are losing ground, not just overall traffic.
Your meta title and meta description are your pitch in the search results. A clear, keyword-aligned title helps Google understand what your page is about and influences its ranking. A short, specific description gives searchers a reason to click through to your site.
Use Screaming Frog to bulk-review your site for missing, duplicated, and underperforming meta titles and descriptions. From there, you can optimize tags by tightening copy, fixing length issues, and aligning each tag with the page’s target keyword.
It’s worth knowing that Google rewrites about 70 percent of meta descriptions, so a polished description isn’t always what searchers see. Title tags are rewritten less often, giving them greater reliability.
Also see Google’s guidance on title tags and meta descriptions.
Cannibalization occurs when multiple pages on your site target the same keyword. Essentially, they compete for the same search traffic.
When cannibalization occurs, it damages your visibility by lowering rankings for the competing pages and causes visitor confusion. Fixing it can improve your traffic, as these case studies show.
In the image from Ahrefs below, we can see how three blogs covering different topics could be consolidated into a single, more comprehensive guide to avoid cannibalization.
So, if you find pages cannibalizing one another on your own site, consider combining the content into a single page (a pillar post) full of valuable information. You can use URL redirects to help solve this issue, but consolidating your content works much better than redirects alone.
Common indexation issues include:
A few things can cause Google to ignore a page: slow load times, low-quality content, or poor mobile performance. Google also doesn’t index every page on the web, which is normal.
Start your fix in Google Search Console. The URL Inspection tool is the most direct way to check whether a specific page is indexed and why it may not be. Drop in any URL to pull live crawl status, canonical signals, and any indexing errors.
Source: https://www.conductor.com/academy/url-inspection-tool/
If you’re still stuck, see Google’s full list of indexing issues or our guide to technical SEO audits.
Duplicate content is a common issue online, and it can hurt UX and trigger keyword cannibalization. It happens when you publish across multiple domains, use different content formats, or let content management system (CMS)-generated pages slip through unchecked.
You can run a quick check for duplicate content with tools like Copyscape or the SEO Content Checker Chrome extension.
Once you find duplicates, you have a few good options:
Watch for self-canonicalization gaps, too. Pages should usually point a canonical tag at themselves, but ecommerce product pages and CMS-generated templates sometimes miss this step.
A quick canonical audit catches these issues fast. For a deeper look, run a full content audit.
The average site takes 2.5 seconds to load on desktop and 8.6 seconds on mobile. If your site is slower, you’re likely falling behind.
Slow load times can drive up bounce rates and hurt conversions. They can also take a toll on your search visibility, since site speed is a Google ranking factor. When pages lag, visitors often head to a competitor instead.
Start by running your site through Google PageSpeed Insights for a speed score, error breakdown, and specific recommendations. Ubersuggest can also identify issues across your site.
To address slow load times, focus on these fixes:
Small speed improvements compound across thousands of page views, so prioritize the biggest bottlenecks first.
During your technical SEO audit, measure your Core Web Vitals. These metrics reflect how real users experience your site, and Google uses them as a ranking factor.
There are three to track, each with its own target threshold:
Google used to focus on First Input Delay (FID) as a Core Web Vital, but INP replaced it in March 2024.
To check your scores on any of these vitals, use Google Search Console and PageSpeed Insights.
Source: https://pagespeed.web.dev/analysis/https-npdigital-com/r222sosba0?form_factor=mobile
PageSpeed Insights covers individual pages; Search Console covers the whole site. Group your failing URLs by template or page type to fix the biggest issues in one pass.
Google uses your site’s mobile version for indexing and ranking by default. Plus, with more than half of website traffic coming from mobile, you need to design for these users first. A mobile-friendly site also improves SEO and user experience.
Google retired its Mobile-Friendly Test in December 2023, along with the Mobile Usability report in Search Console. The recommended replacement is Lighthouse, built into Chrome DevTools.
Lighthouse audits mobile usability, performance, accessibility, and SEO in a single report. Open any page in Chrome, right-click, select “Inspect,” and run a Lighthouse mobile report.
Bing’s Mobile Friendliness Test is still a solid backup option. If your site needs work, consider a full mobile makeover to improve the experience for users on every device.
Broken links are one of the most common issues you’ll find in an SEO audit, and most sites have a few. A Pew Research study finds that 23 percent of news sites and 21 percent of government sites contain at least one broken link.
That’s a little alarming given the reputation these types of sites have, but broken links happen occasionally through site updates, content changes, and deleted pages.
The problem is that these broken links can frustrate visitors and degrade the user experience. They also affect rankings, since Google relies on working links to pass PageRank and anchor text signals between pages.
Use a tool like Screaming Frog to find broken links, then fix, delete, or redirect each one.
Audit your internal and external broken links separately. Internal broken links have a more direct impact on crawl efficiency and PageRank flow, so fix them before tackling broken outbound links.
Competitive analysis helps you understand your competition and spot opportunities to rank higher than them on Google.
It also lets you see how your competitors are doing, including their strengths and weaknesses, while giving you an idea of how to better position your product or service to gain more traction.
Consider the following factors during competitive analysis:
Many tools can simplify this task, but I’ll talk you through using Ubersuggest. All you need to do is:
4. Click Backlinks Overview.
5. Scroll down to the “Source Page Title & URL” section.
You can also use these Ubersuggest features in the same way for competitor tracking.
You’ll also want to measure how you and your competitors stack up when it comes to Google’s Core Web Vitals, which you can do quickly with PageSpeed Insights and Lighthouse.
Take time to analyze your sitemap as part of your SEO site audit.
Why? Because your sitemap ensures that Google and other search engines can properly crawl and index your website. It enhances visibility and improves your SERP rankings.
To audit your sitemap, you can use Google Search Console. Here’s how to do it:
Go to GSC and locate the sitemaps report to see a list of sitemaps and their performance.
You also need to make sure GSC’s sitemap report only includes indexable URLs. Google’s crawl of your sitemap will include noindex pages, unless you tell it otherwise. If you include these pages in your sitemap, as well as canonicals and redirects, you risk confusing Google’s crawlbot and wasting crawl budget on pages that don’t move the needle.
Content gaps refer to topics users seek information about that your site doesn’t cover. A content gap analysis is certainly worth adding to your SEO checklist.
Filling content gaps provides a better user experience and increases your website’s visibility for more keywords.
You can uncover content gaps by:
You can use Ubersuggest to identify keyword and content gaps to speed things up.
Add your URL and choose “Similar Websites” from the left navigation pane; you’re looking for the “Keywords Gap” heading. Hit the down arrow for a keyword, and you’ll see links to keywords and content your competitors rank for, but you don’t.
Look for keywords where your site is already ranking, but on page two or three. These will be easier gaps to win than those where your site has no presence.
Structured data is code (typically schema.org markup) added to your pages to help search engines understand what your content is about. It powers rich results such as star ratings, product information, FAQs, and recipe cards in search results.
During an audit, check that your structured data is implemented correctly and that pages displaying rich results are still doing so. Errors or missing markup can cost you visibility.
Two tools handle this well. Google’s Rich Results Test checks individual URLs for valid markup, and Search Console’s Rich Results report shows site-wide performance and errors at a glance.
This step has grown more relevant in recent years. AI Overviews increasingly pull from clearly formatted, structured content, so clean schema gives your pages a better shot at being parsed and cited by AI systems.
E-E-A-T stands for experience, expertise, authoritativeness, and trustworthiness. It isn’t a direct ranking signal on its own. Instead, E-E-A-T shapes how Google’s quality raters evaluate content, and those assessments inform how ranking systems get calibrated over time.
Strong E-E-A-T signals help your site weather algorithm updates and build long-term search visibility.
During your audit, look for four things:
YMYL content (Your Money or Your Life topics such as health, finance, and legal advice) is held to the highest E-E-A-T standard, since misinformation in these areas can cause real harm. If you publish in these niches, treat every piece as a trust-building opportunity.
Your backlink profile is the collection of links from other sites pointing back to yours. A clean, diverse profile signals trust to Google. A messy one can drag your rankings down.
When auditing backlinks, focus on three areas:
Both Ubersuggest and Ahrefs are useful for this. For a deeper walkthrough, see our link audit guide.
AI Overviews and AI answer engines have changed how people find information online. Your site’s presence in these results is now a core part of any modern SEO audit.
Check two things during your audit:
What tends to drive AI citations? Content that directly answers specific questions, strong E-E-A-T signals, and topical depth across a subject. AI systems prefer clear, well-structured sources they can confidently cite.
For scaled tracking, tools like BrightEdge and SE Ranking offer AI visibility reports that monitor citations across multiple queries and platforms.
It’s also important to check your robots.txt. If it blocks the AI crawlers used by platforms like ChatGPT and Claude, your content generally won’t appear in their responses, no matter how well-optimized it is.
An SEO audit reveals technical issues, content gaps, and missed opportunities holding back your rankings. Without one, you’re guessing at what to fix. Regular audits also help you keep pace with Google’s algorithm updates.
A complete audit covers technical SEO (site speed, mobile-friendliness, indexing), on-page elements (titles, meta descriptions, content), off-page factors (backlinks), and increasingly, AI search visibility. See the steps above for the full breakdown.
A small site can be audited in a few hours. Larger or more complex sites typically take one to several weeks.
Run a full audit at least once a year. For larger sites or fast-moving industries, quarterly audits are a smart choice. Run mini-audits whenever you launch new content, migrate a site, or notice a sudden ranking drop.
A great-looking site that isn’t performing won’t bring in the visitors, leads, or conversions you need to grow. A detailed SEO audit helps you identify what’s holding the site back and fix it.
Fortunately, audits can be painless with the right tools. Ubersuggest, Ahrefs, Screaming Frog, Google Search Console, and PageSpeed Insights cover most of what you’ll need.
Set a cadence and stick to it. A full audit at least once a year is the baseline, with quarterly check-ins for larger or fast-moving sites. Mini-audits make sense whenever you launch new content or notice a ranking drop.
Start with the steps most likely to move the needle fastest. That could be addressing indexing issues, page speed, Core Web Vitals, or broken internal links.
Knock those out, and the rest gets easier.
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Every performance marketer has seen this movie. Search ROAS looks great, social ROAS looks mediocre, so the budget shifts to search. Three months later, search performance quietly erodes, and nobody can explain why. Nothing in the account changed. You turned off the thing feeding your search campaigns in the first place.
Paid search looks better when paid social is running. Not because of some attribution trick, although attribution is part of the story, but because social changes the quality and quantity of the people who end up searching. Evaluate the two channels in isolation, and you’ll systematically overinvest in search and underinvest in the channel that makes search work.
I should say this upfront: I’m a paid search person. Search is where I’ve spent most of my career, and it’s not in my professional interest to tell you that my channel’s numbers are flattered by someone else’s work.
I’m telling you anyway because I’ve seen it in too many accounts to pretend otherwise. PPC specialists need to internalize this. We sit on the flattering dashboards, and we’re the ones asked to explain the numbers when the halo disappears.
A search click starts with a query, and that intent came from somewhere. Some of it is organic demand you had nothing to do with. But a meaningful share, especially for brand and category terms, was created upstream.
Paid social is one of the biggest sources of that demand. A user scrolls past your ad on Instagram or TikTok, doesn’t click, but registers the brand. A week later, they need the product, open Google, and type your brand name. Search “converts” them at an excellent CPA. It didn’t create the intent. It collected the toll at the end of the road.
This shows up in the data in three consistent ways.
The most direct and most ignored signal. Plot weekly Meta or TikTok spend against brand query impressions in Google Ads. In most accounts with meaningful social budgets, the correlation is obvious. Users don’t click social ads and convert. They see social ads and search later.
Even generic queries convert better when the searcher has prior brand exposure. Same keyword, same auction, same landing page, very different conversion probability. Your search CVR is partly a measure of how well your upper funnel is performing.
Better CTRs on brand-adjacent terms feed expected CTR, which feeds CPCs. Social spend indirectly makes your search clicks cheaper. Nobody attributes that to social because no report captures it.
Uncover the keywords, ads, landing pages, and strategies driving your competitors’ paid search success—and find your next opportunity to outperform them.
Last-click attribution, and most data-driven attribution inside ad platforms, assigns credit to touchpoints it can see. Social impressions that never became clicks are invisible to GA4. View-through conversions exist in Meta’s reporting, but nobody trusts Meta grading its own homework, so they get discounted to zero.
The result is a structural bias. Search sits closest to the conversion and inherits credit for demand created elsewhere. The budget review happens: Search: 6x ROAS. Social: 1.8x. The conclusion writes itself, and it’s wrong. You’re comparing a channel that harvests demand with one that creates it, using a measurement system that only sees harvesting.
I’ve watched teams cut social by 40% based on this logic, then spend two quarters wondering why search CPAs went up 25% with no change in the account. The answer was sitting in the brand query volume chart the whole time.
I’ll admit the uncomfortable part. As the search person in the room, it’s tempting to accept that budget review. Your channel wins, the money flows your way.
Correcting the record means arguing against your own budget. That’s exactly why it usually goes uncorrected, and why it’s on us as PPC people to raise it first.
If cutting social broke search immediately, everyone would learn the lesson fast. It doesn’t.
Brand awareness decays over weeks and months. The users who social warmed up last quarter are still searching this quarter.
You cut social, search holds for four to eight weeks, and someone declares victory. Then the warmed-up pool empties out, brand volume softens, non-brand CVR drifts down, and by the time the damage is visible, nobody connects it to a budget decision from two months ago. Seasonality, competition, and CPC inflation take the blame instead.
That lag is why last-click logic survives. The feedback loop is too slow for weekly optimization rhythms to catch.
Dig deeper: Stop looking for the perfect PPC budget split.
One clarification: the mechanism isn’t about Meta or TikTok specifically. It’s about upper-funnel exposure creating downstream search demand, and you can buy that exposure inside the platforms PPC people already use.
In Google Ads, YouTube and Demand Gen are built for this job. YouTube reaches users in the same lean-back, discovery mindset as a social feed, and Demand Gen puts visual creative across YouTube, Shorts, Discover, and Gmail.
Run either with a real budget and you’ll see the same pattern. Brand queries rise, non-brand CVR improves, and search quietly gets better without a single change to the search account. Microsoft’s version is Audience Ads across MSN, Outlook, and Edge: smaller reach, same funnel logic, often cheap enough to test with low risk.
There’s a practical upside for PPC teams. A team that would never get signoff for Meta budgets can usually get YouTube or Demand Gen approved inside the account they already run, and Google’s lift measurement tools can pick up part of the effect.
But the same platform doesn’t mean attribution is solved. Demand Gen warming users who later convert through Search is the same halo problem inside one interface, and Google’s attribution will still hand most of the credit to Search.
Someone has to fill the pool that search fishes from. Whether that’s paid social, YouTube, Demand Gen, or Audience Ads is a question of audience fit and creative capability, not whether the upper funnel is needed.
Three approaches, in ascending order of rigor.
Cheap and immediately available. Track weekly brand impression volume against social spend with a one- to three-week lag.
If social is doing its job, the relationship is visible. Make it a standing chart right next to ROAS.
Where you can pass exposure data into your own stack or use incrementality tooling, compare search conversion rates for exposed versus unexposed users.
Even a rough version usually shows a meaningful gap. That gap is social’s contribution hiding inside search’s numbers.
The gold standard that’s actually attainable. Turn social off, or up, in matched regions and watch search volume, search CVR, and total conversions against a control for at least six to eight weeks. This is the only method that gives you a defensible incrementality number for the budget meeting.
Third-party incrementality platforms can stitch exposure data across channels in a way GA4 never will, and they’re not grading their own homework. MMM has also become far more accessible than its enterprise reputation suggests.
Open-source frameworks like Meta’s Robyn and Google’s Meridian let a capable analytics team model cross-channel effects, including the social-to-search lag, without a seven-figure engagement.
Pair a model with periodic geo tests to calibrate it, and you have a setup platform dashboards can’t argue with.
If you run agentic or automated budget allocation, this matters even more. An agent optimizing on platform-reported ROAS makes the same mistake a junior analyst makes, just faster and with more conviction. Cross-channel effects belong in the objective function before automation moves money between channels.
See where competitors are investing, which keywords drive their results, and how to capture more of the market.
Capturing high-intent demand at the moment of decision is valuable, and someone will capture it if you don’t.
It means channel-level ROAS is the wrong unit of analysis. The right question is never “Which channel has the better ROAS?” It’s “What happens to total outcomes when I move a euro from one channel to the other?”
Those are different questions with frequently opposite answers.
Some of the credit on your search dashboard belongs to a channel your reporting tells you to defund. As a PPC person, admitting that costs me something in the short term. Not admitting it costs the account far more.
The teams that understand how much of search’s performance is borrowed end up with cheaper clicks and more total demand. The rest keep optimizing the toll booth while starving the road.
Read more at Read More
If you’re running a franchise, keeping your brand consistent while still letting each location shine is the lifeblood of your business. That’s where franchise pay-per-click (PPC) advertising can help.
With PPC advertising, you can drive targeted traffic, generate leads, and increase visibility at national and local levels. It’s also a tried-and-true strategy, even as Google Ads becomes more AI-driven. Recent changes like the rollout of AI Max for Search campaigns, the planned upgrade of Dynamic Search Ads (DSA) into AI Max, and the phaseout of Enhanced cost-per-click (CPC) are giving marketers new opportunities, but also creating some uncertainty around control, campaign structure, and optimization. PPC can still get entrepreneurs to where they want to go, but unlike single-location businesses, franchises face unique hurdles.
Who controls the budget—corporate or franchisees? How do you maintain a unified brand voice while personalizing ads for different locations? And how do you prevent franchisees from competing against each other for the same keywords?
The key to franchise PPC is strategy. I’ve worked with franchise brands running anywhere from 10 locations to more than a thousand, and the ones that win at PPC all have a clear system for who runs what. Whether you’re managing campaigns at the corporate level, giving franchisees control, or using a hybrid model, the goal is to maximize ROI without wasting ad spend.
This guide breaks down everything—from keyword research and geo-targeting to budget allocation and tracking success—so your franchise can dominate paid search.
Franchise PPC campaigns can be structured in three ways: corporate-managed, franchisee-managed, or hybrid. Each has its strengths and drawbacks. Choosing the right one depends on your brand goals and market dynamics.
When the corporate office manages paid search for franchises, the focus is on brand consistency and centralized control. Ads are uniform, budgets are allocated from the top, and campaigns are optimized at scale. This is great for brand protection and cost efficiency, but it can limit franchisees’ ability to target local customers effectively.
This model allows individual franchisees to run their own PPC campaigns, giving them full control. While this improves local relevance, it can lead to inconsistencies in brand messaging and even keyword competition between franchise locations, driving up costs unnecessarily.
The hybrid model is often the best approach. The brand’s corporate office provides creative guidelines and high-level oversight, while franchisees have control over local targeting and budget allocation. This keeps brand messaging consistent while giving franchisees room for local customization, maximizing reach and conversions.
No matter which model you choose, effective PPC management for franchises requires maintaining a consistent brand experience while allowing room for local customization. A scattered franchise PPC strategy weakens performance, but a structured, well-coordinated approach can deliver strong, measurable results.
PPC success starts with choosing the right keywords. For franchise paid search, this means striking a balance between national reach and local relevance. You need to target high-intent keywords that attract both broad and location-specific searches.
Branded keywords (e.g., “Subway near me,” “McDonald’s delivery”) are essential for protecting brand visibility and driving customers already looking for your franchise. These should be managed by corporate to prevent franchisees from bidding against each other, thereby unnecessarily increasing costs. They are also essential for competitor defense and general brand visibility at the national/corporate level.
Non-branded keywords (e.g., “best sandwich shop in New York,” “affordable fast food in Austin”) help capture new customers who aren’t searching for a specific franchise. These are great for local franchisees to target because they drive discovery and increase conversion rates.
Another strategy is bidding on competitor names. If someone searches for a rival franchise, your ad can appear alongside it. This can work well but must be done carefully. Some brands have strict policies against it, and any bidding here will incur an expensive CPC penalty for targeting their brand terms. A less risky tactic would be to bid for your competitor’s keywords.
Managing franchise PPC keywords at scale can be time-consuming. Tools like smart bidding in the Google Ads platform help optimize bids, adjust keyword strategies, and reduce manual effort while keeping campaigns competitive.
Google’s AI Max is also a great tool for automating your keyword strategy. The platform offers keywordless targeting, which automatically matches your ads to relevant searches without manual keyword lists. For franchise campaigns, AI Max can expand reach efficiently, but it needs strong negative keyword lists and tight geographic controls to prevent ads from serving outside location boundaries or on irrelevant queries.
A well-structured franchise PPC campaign does more than allocate budget. It organizes ad groups, targeting settings, and landing pages to optimize performance across locations. Even within a corporate-run, franchisee-managed, or hybrid model, campaign structure determines how efficiently ads are served, how budgets are spent, and how local audiences are reached.
Here are the best approaches to structuring franchise PPC campaigns:
Franchise PPC accounts can be structured in one consolidated account managed by corporate or in separate accounts for each location:
Inside each account, campaigns should have one of the following structures to avoid overlap and increase relevance:
Within each campaign, ad groups should reflect specific keyword themes to improve relevance and quality scores:
Even with the right structure, budget allocation determines success:
Performance Max and AI Max for Search are changing how companies build franchise PPC campaigns. Performance Max distributes your assets across several Google channels using Google’s AI, which makes it useful for franchisees who want broad local reach without juggling separate campaigns. AI Max layers search term matching and asset optimization onto traditional Search campaigns, giving you stronger query coverage without the manual keyword bloat.
Both shifts tie into Google’s planned DSA upgrade to AI Max, which begins for Automatically Created Assets (ACA) and broad match campaigns in September 2026 and rolls out to remaining DSA starting in February 2027. If you rely on DSA to fill keyword gaps for franchise locations, now is the time to test AI Max directly. Run both in parallel for 30 to 60 days so you have performance data before the forced migration hits.
My recommendation is to start with AI Max on your highest-performing Search campaigns, then test Performance Max for new market expansion.
Franchise PPC campaigns must reach the right audience at the right location. Geo-targeting makes that possible by serving ads only to users in specific areas, reducing wasted spend and increasing conversions, like the McDonald’s example below.
Source: https://www.hunchads.com/blog/ad-localization-complete-guide
Geo-targeting works best when ads speak directly to the local audience. A franchise in Chicago shouldn’t use the same ad copy as one in Miami. Location-specific language, offers, and landing pages improve engagement and conversion rates.
Performance Max and AI Max support location targeting, but the behavior differs from standard search. For franchise campaigns, set “Presence: People in or regularly in your targeted locations” rather than “Presence or interest” to minimize geographic bleed. Verify in your campaign reports that impression share is concentrated in intended service areas to get the best results.
A franchise PPC campaign that combines precise geo-targeting with tailored ad content will always outperform a generic nationwide campaign.
Franchise PPC success depends on spending the right amount in the right places without wasting budget. Competitive markets require higher bids to stay visible, while lower-competition areas may need less aggressive spending. A flexible budget model helps high-performing locations scale up while reallocating funds from underperforming areas.
Whichever budget structure you chose earlier (corporate-controlled, franchisee-managed, or hybrid) should inform how you bid. Corporate-controlled budgets give you centralized spending power and stronger brand consistency but less local flexibility. Franchisee-managed budgets let individual locations invest more aggressively in high-performing markets, but risk inconsistent spend and execution. The hybrid model splits the difference: corporate sets budget floors, ceilings, and guardrails, and franchisees adjust within those limits based on local performance data.
Focus your bidding strategies on driving efficiency within that framework.
A smart budget allocation and bidding strategy helps franchises optimize ad spend, scale campaigns, and drive better ROI without unnecessary waste.
A great PPC ad gets clicks. A great landing page turns those clicks into customers. Franchise PPC campaigns need ad copy that stays on-brand while feeling local. Generic ads won’t convert, and mismatched landing pages frustrate users. A seamless experience from ad to landing page improves engagement and conversion rates.
Best practices for franchise PPC ad copy include:
Franchises looking to scale PPC efforts without managing every aspect in-house can also work with experienced PPC agencies to optimize ad copy, landing pages, and conversion rates.
Since landing pages typically are your last touch point before customers make a buying decision, you’ll want to make sure they’re well-optimized. Key landing page features you should focus on include:
This example from Cinnabon showcases their newest product with an attention-grabbing headline, an easy way to find your location, and a clear CTA to order.
Source: https://www.webfx.com/industries/franchises/website-examples/
Paid ads now appear integrated inside AI-generated overview summaries at the top of search results. These placements are served through existing Google channels like Search, Shopping, and Performance Max campaigns with no separate setup required, as long as you’re using AI-powered targeting.
This matters for franchises because local service and product queries often trigger AI Overviews. A location bidding on “best [service] near me” may see its ad appear inside an AI Overview rather than in a traditional ad slot. Ad copy quality carries more weight in this placement, so location-specific headlines and offers tend to outperform generic brand copy when sitting alongside synthesized content.
You don’t need to optimize separately, but you should monitor impression share by placement type in your campaign reports to understand how much traffic is coming from this format.
It’s also worth keeping an eye on adjacent formats. OpenAI began testing sponsored placements in ChatGPT for free and lower-tier users in early 2026, while Perplexity pulled its ad experiment over trust concerns. Franchise paid strategies will increasingly need to account for these surfaces as they mature.
PPC success is about conversions, revenue, and long-term customer value. When you’re focusing on PPC or other paid strategies, you’re actually in the realm of search engine marketing (SEM). It’s an important distinction, because the metrics that matter differ from SEO vs. SEM, so tracking the right ones ensures franchise owners use their ad spend to support the factors that are critical to improving their ROI.
Essential PPC metrics for franchises include:
Use these tools for tracking franchise PPC:
Here’s what success could look like:
Let’s say a multi-location fitness franchise wanted to improve its PPC performance. Instead of running a one-size-fits-all campaign, they could restructure their strategy to separate local and national efforts.
Here’s how a campaign like that might play out:
As a result, their ROAS jumped 45 percent in three months, while landing page improvements increased conversion rates by 20 percent. This structured approach enables franchises to scale PPC campaigns effectively while maintaining brand consistency and driving local results.
Accurate attribution is getting harder as third-party cookies are becoming less popular. Originally, Google was in favor of full-on deprecation of cookies. While that decision has since been reversed, Google is still taking a “user choice” approach to data tracking.
For franchise campaigns, configure enhanced conversions at the location level rather than only at the account level. Server-side tagging through Google Tag Manager can make conversion tracking more reliable by routing conversion data through a server container before it’s sent to Google. This helps reduce reliance on browser-based tags, which can be limited by client-side tracking restrictions and may undercount leads.
Franchise PPC campaigns often fail due to avoidable mistakes. Here are the biggest issues and how to fix them:
Franchise PPC can drain budgets or fuel business growth. The difference comes down to eliminating these mistakes, making data-driven adjustments, and refining strategy over time.
Yes. Google Ads works well for franchises because you can run brand-level campaigns alongside location-specific ones, capturing both broad awareness and high-intent local searches. The platform’s geo-targeting and ad customizers make it easy to serve the right offer to the right market without building hundreds of separate accounts.
Structure your account around your franchise model. Use a corporate-managed account with sub-campaigns per location or give each franchisee their own account under a manager account (MCC). Lean on location extensions, geo-targeting, and shared budgets to keep things efficient.
Start with location-specific keywords, set a tight geo-radius around the franchisee’s service area, and write ad copy that includes the city or neighborhood. Connect Google Business Profile for location extensions, then layer in call tracking to attribute leads back to the right unit.
Subscribe to Google’s Search Central blog and follow industry sources like Search Engine Land. Better yet, partner with an agency that monitors changes for you, so updates get tested before they affect performance.
Franchise PPC in 2026 comes down to three things: structured campaigns, local targeting, and consistent measurement. The fundamentals haven’t changed, but the tools have. Performance Max, AI Max, and ads inside AI Overviews are reshaping how franchise locations compete for clicks, and the brands that adapt fastest will capture the most value.
If you’re managing PPC for a single franchise location or coordinating campaigns across hundreds, the playbook is the same. Match your campaign structure to your management model, keep ad copy locally relevant, and track the metrics that tie spend to revenue.
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Google rewrites 76% of title tags as of 2025, and AI Overviews are changing how title tags function even beyond click-through. They may not be the most exciting part of the SEO jigsaw puzzle, but if you want to drive organic traffic to your website, getting them right is vital.
Even Moz says, “Title tags are the second most important on-page factor for SEO, after content.” They’re a quick win if you want to supercharge your SEO strategy.
If you’re looking for a boost in the search engine results pages (SERPs), keep reading. I’ll share my title tag best practices to help improve your visibility across traditional Google rankings and AI Overviews.
A page title tag is the headline that represents your web page in the SERPs.
Your meta tags are important because they work with your meta description (the text below the title tag) to tell potential customers about your page content.
Let’s say you’re searching for “kitchen installation services.” One of the top results is IKEA, with the title tag “Kitchen installation services.”
This is an excellent title tag, as it clearly explains the page’s purpose and aligns with IKEA’s brand.
There are two reasons why page title tags are so important:
First, if you have a clear title that’s relevant to your page, both humans and search engines will see that as a sign of a good page.
If your title tag SEO isn’t on point, people could skip over your content, and search engines may determine that your page isn’t as good as it could be.
A second reason why title tags are important is that they appear in browser tabs and are used when people share your pages on social media. Get your title tag right, and it can help your content stand out.
Now that you have the definition down, the next question is how to write meta title tags for SEO that actually earn the click.
If you want to increase your chances of ranking on the first page of Google, a well-crafted, unique SEO title tag can help boost your odds. Recent data shows that an SEO-optimized title tag is the second most important ranking factor in Google’s algorithm.
Source: https://firstpagesage.com/seo-blog/the-google-algorithm-ranking-factors/
Here are some SEO title tag best practices to help you nail the elements that’ll drive traffic.
Data shows that your title tag needs to be between 50 and 60 characters. This is the sweet spot that had the lowest amount of rewrites from Google (39 to 42 percent), because it coincides with the way Google truly measures your title tag: pixels. The sweet spot is 580 pixels, which aligns with the 50-60-character limit.
You also won’t be able to tell the search engines and potential customers what your page is about if it’s too short. Too long, and the search engines will cut off your title tag with an ellipsis (…).
Some tools can help you see how your meta title tag will look in the search engine results and check your word count. One of my favorites is the Mangools SERP simulator.
The HTML version of your title tag is also still important. You’ll want to abide by the pixel or character limit for display, but your HTML version still matters for ranking and relevance signals, even if your display version gets rewritten.
For best results, try to put your focus keyword as close to the beginning of your title as possible.
This means search engines (and search engine users) will quickly see that your page is relevant.
Let’s look at “buy red shirt” as our focus keyword. These title tag examples use that keyword right at the start, increasing the chances of that all-important click.
You’ll also want to make sure you’re using the right version. Check the Parent Topic in a keyword tool to ensure you’re using the highest-traffic version of the keyword, not just the most obvious one. You can also optimize for more than one keyword by incorporating the right keyword variants and synonyms into your title tag.
You could change your title tag from only including “cheap hotels” to including “affordable, cheap hotels and rooms,” for example, to catch more than one variant.
Keyword research tools are a great resource for finding and analyzing different versions of a single focus keyword.
Google Search Console, Moz’s Keyword Explorer, and SEMrush are just a few useful, easy options to choose from.
With SEMrush, for example, all you have to do is search your keyword and navigate over to the “Related Keywords” tab.
From there, you can see information for the keyword(s), like organic search volume, the cost-per-click (CPC), statistics on competition and trends, and more.
Scroll down to find a list of related words.
The tool will analyze how closely “related” a keyword really is based on a 0-100 percent scale, the ranking difficulty, the total number of results for those words, and trends.
Of course, it’s vital to ensure that keyword placement is organic, no matter which variant you use. While using them is great, don’t shoehorn them in just to get a placement. It’s against title tag best practices to stuff keywords into your title. Yes, you can optimize for multiple variants, but only if it sounds natural.
You need to use your title tag to show how you provide value. What do customers get when they click on your page?
This benefit can depend on what you sell and what stage of the sales funnel customers are at (search intent). If you’re targeting people who are looking for information, you need to show what they can learn from your content.
I like this title tag – “12 Ways to get Heatless Curls Fast.” It’s enticing and shows that you can get results quickly.
Targeting people who are ready to buy? It pays to be concise. What are you selling, and what does the product offer?
While this title is a bit long, I like it because it says the product is customized for short, fine hair. None of the other results say this, which makes this title tag stand out.
If your page doesn’t provide what you promise in your meta page title, customers will get frustrated, and Google could rewrite your title tag, so don’t be deceptive.
A power word is highly persuasive and can trigger an emotional response in your customers. When used in your title tag SEO, they can encourage people to check out your pages!
Using a power word in your meta title tags is a fantastic way to get attention and boost your click-through rates.
Here’s a brilliant example. This title tag could have easily been “50 top tips for changing how you cook,” but Taste of Home has gone with “50 secrets chefs won’t tell you.”
That sounds a lot more intriguing!
Here are some power words to get you started:
Another one of the popular SEO title tag best practices is to use numbers, because numbers attract our attention. They’re specific, they stand out, our brains can easily recognize them, and they’re great for growing search traffic.
Marketers have also been saying for years that pages with odd numbers in their titles will gain the most shares because odd numbers stick in your mind much better than even numbers.
So it might be better to conclude all of your lists once you reach an odd number, like 9, instead of one that “looks better,” like 10 or 20. Including the year can also boost your post’s performance. It can signal recency around topics where freshness matters, and increase click-through rates (CTRs).
Just like numbers or the year, questions can be powerful for grabbing your audience’s attention. They pique our curiosity.
I’ve talked about the importance of using open-ended questions in your blog posts before. The same applies to title tags.
News sites like CNBC practice this tactic all of the time:
You can even take a more creative approach and answer part of the question in your title as a teaser, like copyguide.co does:
AYou might even increase your chances of being cited in Google’s AI Overviews if you ask a question in your title and provide a clear, comprehensive answer on your web page.
AI Overviews pull from multiple sources to generate a summary answer at the top of the SERP, and they’re most often triggered by question-based, informational queries. That makes question-format titles a natural fit for capturing this kind of visibility.
For example, a search like “Why is Seattle called the Emerald City?” often surfaces an AI Overview that synthesizes explanations from several websites before the traditional organic results appear below.
Of course, the goal of title tag best practices and other SEO elements is to get readers to click. This is the very reason calls to action (CTAs) are just as important as, if not more important than, questions in your SEO title tags.
CTAs make people click because they do exactly what their name says. They “call people to act” on whatever you’re asking of them.
You’re probably already including them in ads, blog posts, and web pages. Why not include them in title tags, too?
Action words (or trigger words) provide users with something extra by giving them an incentive to do something.
Examples of action words include buy, download, watch, learn, find, listen, and view.
Combine those words with terms like free, easy, or new, and people will be clicking on your content like never before.
Additionally, you may want to consider adding some top keywords to your title.
You can have too much of a good thing, though. Overusing or cramming all of these elements into your title tag may make it feel spammy and undermine the very SEO boost we’re trying to achieve.
As I mentioned earlier, Google rewrites over 76 percent of title tags according to SearchEngineLand!
But why?
It turns out Google does this when its search algorithms think your title doesn’t represent the page’s content. It may see a mismatch between the user’s specific query and your title, or a mismatch between your title and your blog’s H1.
Title formatting can also trigger a rewrite. Google often rewrites titles that are too long, too short, or that overuse pipe characters.
Your title could also be rewritten to remove keyword stuffing and boilerplate language, and to add context. For commercial queries, Google frequently emphasizes commercial elements and removes what it considers unnecessary fluff.
So if your title tags don’t look good to Google, they’ll consider other factors, including:
Take a look at this title tag: “Utilities and Electrical Services.”
If you go to the homepage and view the source code (right-click and select “View Source” or “View Page Source”), you’ll see the actual title is “Utilities and Electrical Services – Murphy.”
Google rewrote it because it felt the revised title tag would help people more than the original.
A well-optimized title tag is still worth writing because it gives Google a starting point. Without one, Google starts from scratch, and the result is often worse.
The good news: If you follow the title tag SEO steps outlined in this article, Google should keep your title tags as they are. Keep titles under 55 characters, match the title closely to the H1, ensure the title accurately describes the page content, and avoid exact-match keyword stuffing, and you should be fine.
It’s also important to remember that a rewrite is more of a display issue and not a ranking signal issue. Google will continue to use your HTML title tag for ranking signals, even if it rewrites what’s displayed in the SERPs.
In 2026, your title tag is doing two jobs.
In traditional search results, it still drives clicks. In zero-click SERPs, where a user finds their answer in an AI Overview without leaving the page, a citation builds brand trust and mindshare even when no click follows. Both functions matter to your AI SEO strategy.
Google’s recent moves make this dual function even more important. In March 2026, Google confirmed it is testing AI-generated titles in traditional search results, not just Discover. The test is described as small for now, but Discover’s “small” headline experiment became a permanent feature within a month. Accurate, intent-matched titles are the most likely to survive both human and AI editorial review.
For AI Overview eligibility, your title tag should reflect a direct, citable answer to a common query, not just a click hook. Think of it as a label for a useful resource. That mindset aligns naturally with answer engine optimization, where clarity and accuracy outweigh clever phrasing.
We’re already seeing data to back this point. A recent study shows that title tags written to describe the general topic clearly get about two times the citations of titles strictly optimized for a keyword.
Once you know how to create an SEO title tag that works, it’s time to add it to your web page.
Here are two different ways you might go about it.
If you use WordPress, it’s super easy to add a title tag. There are extensions you can download to implement your SEO title tags. The benefit of using these is that you don’t have to edit your HTML.
My extension of choice is Yoast, although other options work just as well, such as Rank Math and Slim SEO.
Here’s how Yoast works once you’ve installed it. To edit the title tag for a page or post, navigate to that content and open the editor.
If you’re using the traditional WordPress editor, scroll down to the bottom of your post or page, and you’ll see the Yoast box, where you can edit the title tag and meta description. If you’re in Elementor, you can access Yoast by clicking the settings cog in the Elementor menu.
You can edit your title tag and meta description directly in Yoast. It’ll also give you a nice preview of your title and meta description so you can see how they’ll look in the search engine results.
If your site isn’t hosted on a content management system (CMS), you can edit your HTML directly to add a title tag.
First, access the HTML for your page. I recommend checking with your hosting service on how to do this.
Once you’ve found the editable HTML, make sure you’re between the <head> tags.
To create the title, use <title> tags. For example:
Save your code, and your title will show up correctly.
If you don’t have a bespoke website or use a CMS other than WordPress, I recommend contacting your CMS provider or web host.
They’ll be able to advise you on how to access your HTML to edit your page title tags, and you can move on to the next element of my on-page SEO cheat sheet to get the most out of your optimization efforts.
Your title’s formatting elements create a solid SEO foundation, but there are several tweaks worth layering on. Here are a few SEO title tags best practices that can make a real difference.
The title tag can be a great place to include your brand name, but don’t go over the top. You only have limited space, and it’s more important to use your title tag to show how you can solve your customers’ problems.
Google recommends using your homepage title tag to include additional information about who you are and what you do. That’s what I’ve done with the Neil Patel homepage, as you can see here:
For the rest of your pages, adding your brand name to the end of the title tag will suffice (if there’s room).
Sometimes, your headline and title tag will be the same. But there are some cases where they won’t be.
For example, if your page headline is long and detailed, you might want a shorter, snappier title tag. This can look better in the search engine results and gives customers more context.
Here’s an example from Copyblogger. The title tag is “Content marketing tools and training.”
However, the headline on the website is “The most important skill in business is the ability to move people with words.”
When creating lots of content, it can be tempting to use the same title tag for each page to save time.
However, this can cause issues with search engines.
Note this example of identical tags from next.co.uk. Listing multiple pages with identical title tags may confuse customers, leaving them unsure which page to click on. It can also confuse the search engines, as they won’t know which pages to prioritize for which search query.
The good news is that there are plenty of tools that will help you find duplicate title tags. My favorite is Screaming Frog, which quickly identifies duplicate title tags and meta descriptions.
At one time, Google had removed emoji characters from results pages.
Eventually, Google would reverse that decision, meaning that we can still leverage the power of emojis in the SERPs and on mobile.
That’s good news since emojis can add a sense of emotion to regular text or even replace text altogether.
But you can use emojis for more than just fun and games. They can also boost engagement.
You can add emojis to your title tags by copying and pasting them, using a WordPress plugin, or typing the code yourself.
If you’re using Yoast, you already have access to codes for each emoji that you can copy and paste.
Once you’ve selected an emoji, added it in, and published your page, it should look something like this on SERPs.
When you view the source code for your web pages, your code may look different depending on how you’ve built your page.
Some pages will show the emojis in your source code, but source code for other web pages that include emojis, like this one from Search Engine Journal, might cause emoticons to appear as code instead of displaying them. Either way, viewing the source code is a good way to confirm your chosen emojis made it into your title tag.
Here’s a quick tip: to view the source code for any web page, press Ctrl + U on a PC or ⌥ Option + ⌘ Command + U on a Mac.
Emojis will take up character space within your title tag, so keep that in mind when considering length, which we discussed earlier.
A/B testing is a great way to experiment and see what SEO title tags drive the most clicks.
Start with Google Search Console’s Performance report, which surfaces click-through rate by URL and gives you a reliable baseline. Document the page’s average CTR for the 28 days before deploying the new title. Then, push the change live and compare CTR over the next 28-day window. That length helps smooth out daily fluctuations and seasonality.
For an extra layer of validation, third-party tools like TitleTester collect feedback from real users on which title variations they find most compelling. That kind of pre-deployment input can help you narrow your options before committing a page to a live test.
A title tag audit is a foundational technical SEO task, and you can run one in an afternoon. Start with a site crawler like Screaming Frog or Ubersuggest to flag titles that are missing, duplicated, longer than 60 characters, or lacking the target keyword.
Next, use Google Search Console’s Performance report to identify pages where the displayed title in search results differs from your HTML title. This surfaces pages Google has already rewritten, which are strong candidates for revision.
Once you have your list, prioritize fixes by traffic and impressions. Pages that already attract impressions but underperform on clicks should be natural candidates for title optimization, since the title is one of the few elements that influences clicks without requiring content changes.
Finally, check for significant misalignment between your title tag and your H1. As Zyppy’s title tag rewrite study showed, mismatched titles and H1s are a common rewrite trigger that’s easy to fix.
Yes. In 2026, title tags shape your page’s presentation in traditional search results, AI Overviews, and AI-generated rewrites. Skip them, and Google will create one for you, often with worse results.
Yes. According to John Mueller, the HTML title tag still works for ranking purposes, even when Google rewrites the displayed version in the SERP.
Length influences whether Google keeps your title or rewrites it. Titles in the 51 to 60 character range have the lowest rewrite rate, per Zyppy’s analysis of 80,000+ title tags.
No. Closely matching your title tag and H1 reduces the chance of a Google rewrite. Significant misalignment is a known rewrite trigger, but there are instances where your H1 can be slightly different. You can use a longer, more descriptive H1 on your homepage than your title tag in Google as long as they both cover the same general topic.
Title tags carry more weight than they used to, and they’re harder to get right. Google rewrites more titles than ever and AI Overviews read your title as a citable answer rather than a click hook, raising the bar for a “good” title.
Ensuring you write accurate and intent-matched titles will serve you across traditional SERPs and AI Overviews. It can even help you avoid any AI-generated rewrites Google might roll out.
If your existing titles haven’t been audited in a year or two, they’re due for a refresh. NP Digital can help you audit your on-page SEO and surface the title tag opportunities most likely to move the needle.
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Do you know HTML, CSS, or JavaScript? A decade ago, not knowing how to code meant that building a website was expensive or time-consuming. Today, AI website builders have changed that. With just a few prompts, you can generate a professional-looking website in minutes.
In this guide, we’ll show you how to build a website with AI from writing your first prompt to customizing and publishing your site. By the end, you’ll have everything you need to go from prompt to publish.
Think of an AI website builder as a generative AI platform that’s purpose-built for creating websites. Instead of writing paragraphs or generating images, it generates complete web pages based on your prompts. You simply describe the type of website you want, your business, preferred style, and goals, and the AI creates a professional-looking first draft in minutes without writing a single line of code.
What an AI website builder isn’t just another automation tool. It doesn’t simply schedule blog posts, perform website maintenance, or automate repetitive tasks. Nor is it a traditional drag-and-drop builder that leaves you staring at a blank canvas. Instead, it uses generative AI to create layouts, content, images, and design suggestions, while still giving you the freedom to fine-tune everything through a visual editor before you publish.
At its core, an AI website builder works much like any other generative AI tool. You provide instructions, the AI interprets them, and generates a result. The difference is that instead of producing text or images, it creates the foundation of a website. Most AI website builders follow the same three-step process:
Everything starts with a prompt. You’ll answer a few questions or describe the website you want to build, including your industry, target audience, brand style, and the pages you need. The more context you provide, the better the AI can tailor the website to your goals.
Once it understands your requirements, the AI generates your website automatically. It creates page layouts, writes placeholder or draft copy, suggests relevant images, and organizes your content into a cohesive website structure, all within a few minutes.
The generated website isn’t set in stone. After the first draft is ready, you can customize it using a visual editor. You can update text, swap images, rearrange sections, change colors and fonts, and refine the design until it matches your brand. Think of AI as creating the first draft, while you remain in control of the final website.
AI website builders are no longer a niche trend; they’re quickly becoming a mainstream way to build websites. According to market research by Custom Market Insights, the global AI-powered website builder market is expected to grow from $3.41 billion in 2026 to $14.78 billion by 2035, reflecting the rising demand for faster, no-code website creation.
Another report by Precedence Research estimates the market could grow even faster, reaching $17.4 billion by 2035. Businesses of all sizes are increasingly turning to AI to reduce development time, lower costs, and get online sooner.
This growth isn’t happening by accident. AI website builders address many challenges, from technical complexity to long development timelines. By combining generative AI with intuitive editing tools, they make it easier for anyone to create a professional-looking website.
Here are some of the biggest advantages driving their adoption.
The biggest advantage of building a website with AI is that you don’t need to know how to code. Instead of writing HTML, CSS, or JavaScript, you simply describe what you want in plain English. The AI interprets your prompts and generates a website that matches your requirements. This approach, often called vibe coding, lets you focus on your ideas while the AI handles the heavy lifting.
Traditional website projects can take days or even weeks, especially if you’re starting from scratch. AI website builders dramatically shorten that timeline by generating layouts, copy, images, and page structures in minutes. Instead of spending hours creating the first version of your website, you can start with an AI-generated draft and spend your time refining it, helping you launch sooner without sacrificing quality.
Modern AI website builders don’t just generate generic templates. They use the context you provide, such as your industry, business goals, target audience, and design preferences, to create a more relevant starting point. For example, a restaurant website will look and function differently from a photographer’s portfolio or an online store. The more information you provide, the better the AI can tailor the website to your needs.
These benefits make AI website builders an excellent starting point, but getting the best results still depends on how you use them. It all begins with choosing the right platform and providing the AI with the right information.
AI website builders make creating a website much easier, but the process still follows the same basic principles as traditional website creation. You’ll need a domain, hosting, and a platform that brings everything together. Once those pieces are in place, AI can handle much of the heavy lifting.
Here’s how to build a website with AI, step by step.
Before you start building a website with AI, make sure you have a few essentials in place. Think of them as the foundation of your website. The list of prerequisites includes the following:
Your domain name is the address of your website on the internet. It’s what visitors type into their browser to find your site (for example, yourbusiness.com). A memorable, brand-friendly domain helps people recognize your business and makes your website easier to share.
If you haven’t registered one yet, you can search for and purchase a domain through Bluehost Domains, which lets you manage your domain and website from one place.
Every website needs a place to store its files, images, and content. That’s where web hosting comes in. A hosting provider keeps your website online and delivers it to visitors whenever they access it. Choosing reliable hosting is important because it affects your website’s speed, uptime, and security.
If you’re looking for a beginner-friendly option, Bluehost Web Hosting combines hosting with WordPress support and AI-powered website creation, making it easy to get started.
An SSL certificate encrypts the connection between your website and its visitors, helping protect sensitive information such as login credentials and contact form submissions. It also enables HTTPS, which browsers recognize as a secure connection. Today, SSL isn’t just a security best practice; it’s an expectation for any professional website.
A website builder is the tool you’ll use to create and customize your website. Traditional website builders rely on drag-and-drop editing, while AI website builders go a step further by generating layouts, content, and images based on your prompts. They help you move from a blank page to a working website much faster.
A CMS lets you manage your website after it goes live. Whether you’re publishing blog posts, updating pages, uploading images, or installing new features, a CMS makes these tasks easy without requiring coding knowledge.
For most websites, WordPress is the best choice. It’s flexible, beginner-friendly, and powers a significant portion of the web. More importantly, it gives you complete ownership of your content, thousands of themes and plugins to extend your site, and the freedom to scale from a simple portfolio to a full ecommerce store as your needs grow.
Now comes the most important decision: choosing the right AI website builder. While there are plenty of options available, the best ones do more than generate a website. They also simplify everything that comes before and after it.
This is where the Bluehost AI Website Builder stands out. Instead of making you juggle multiple services, it brings everything together in one place, helping you go from idea to a live website with minimal setup.
Here’s why you should go with Bluehost AI:
One of the biggest advantages of the Bluehost AI Website Builder is that it handles the essentials for you. Website creation, managed WordPress hosting, and domain registration are all available through a single platform, so you don’t have to switch between multiple providers or configure everything yourself. It’s a much simpler way to get online, especially if you’re building your first website.
Most AI website builders ask for a short description and generate a website immediately. Bluehost goes a step further. Before creating your site, it asks a series of industry-specific questions to better understand your business, goals, and online audience. This additional context helps the AI generate a more relevant first draft, giving you less to edit later.
Need to replace a hero image or create something unique for your website? Instead of searching through stock photo libraries, you can simply describe the image you want. The AI generates new images directly within the builder, making it easy to customize your website without leaving the platform.
A beautiful website is only useful if people can find it. Bluehost builds your website on WordPress and includes Yoast SEO Premium on paid plans, giving you access to industry-leading SEO tools from day one. That means you can optimize your pages, improve your content, and prepare your website for search engines as you build it, instead of treating SEO as an afterthought.
Keep in mind:
An AI website builder can help you create and launch your website faster, but it can’t replace a thoughtful SEO strategy. While Yoast SEO Premium gives you powerful tools and guidance, it’s still up to you to create valuable content, optimize your pages, and build a website that serves both your audience and search engines.
Launching a website is just the beginning, so ongoing security and support matter just as much. Paid Bluehost plans include a free SSL certificate, malware scanning and removal, weekly backups, and a global CDN to help keep your website secure and performing well. If you ever get stuck, you can also reach WordPress experts 24/7 by chat or phone.
With the right AI website builder in place, you’re ready for the fun part: creating your website. Let’s walk through how to build your first AI-powered website with Bluehost.
Getting started with the Bluehost AI Website Builder is surprisingly simple. Instead of worrying about technical setup, you answer a few questions about your business, choose your preferred style, and let AI create the first draft of your website. From there, you can customize every detail before publishing your site.
Here’s all you have to do:
Next, tell the builder a little more about your brand. Add your business name, choose your preferred color palette, specify your location, and select a design style that matches your vision. Once you’re happy with your selections, click Build My Site.
Before your website is generated, sign in to your existing Bluehost account or create a new one using your email address or a supported social login. This ensures your website is linked to your account and ready for the next steps.
Within a few minutes, Bluehost generates the first draft of your website. Use the visual editor to make it your own. You can edit text, replace or generate new images with AI, adjust layouts, add or remove pages, change colors, and even ask AI to create additional sections. No coding is required.
When you’re happy with your website, select one of the AI-suggested domain names or connect a domain you already own. Complete the checkout process, and Bluehost automatically configures your hosting, SSL certificate, security features, and WordPress installation. Your website is then ready to go live.
Do check out the help article for more information on the platform.
Congratulations! Your website is now live. But publishing it is only the beginning. To attract visitors, provide a great user experience, and improve your visibility in search results, you’ll need to continue refining your website.
Here are a few best practices to help you get the most out of your AI-generated website.
AI website builders work best when they understand the bigger picture. Instead of giving short, keyword-focused prompts, describe your business, target audience, goals, products or services, and the tone you’d like your website to have. The more context you provide, the more relevant the generated website will be.
The same principle applies to your website content. Before creating pages or SEO-friendly blog posts, spend some time on keyword research to understand what your audience is searching for. Once you’ve identified the right topics, naturally incorporate your keywords into high-quality content that addresses your readers’ needs.
AI can generate impressive layouts and content, but it doesn’t know your business the way you do. Review every page before publishing and personalize it with your brand voice, customer stories, original images, testimonials, and real-world expertise. These small details help build trust with your visitors and make your website stand out from countless AI-generated sites.
AI is great at creating a solid first draft, but it often relies on patterns learned from existing websites. That means your design, messaging, or content may end up looking similar to countless others.
Before publishing, review every page carefully, verify the accuracy of AI-generated content, and add details that reflect your brand’s personality and expertise. Following SEO-friendly content best practices will also help you create pages that are both original and genuinely useful to your audience.
Before going live
Before making your website public, take a few minutes to review its technical SEO. Check that important pages are crawlable, verify that search engines aren’t being blocked by accident, and make sure your XML sitemap is available. If you’re using Yoast SEO, features like crawl optimization settings can help reduce unnecessary crawl activity while keeping important content accessible. It’s also worth manually reviewing your site’s metadata, internal links, and page structure to ensure everything is working as expected before launch.
Post going live
Your website shouldn’t remain the same after it goes live. Regularly review your pages, test them on different devices, fix broken links, update outdated information, and improve page performance. If you publish blog content, revisit older articles and optimize them over time. Small, consistent improvements can have a significant impact on user experience and search visibility, helping you drive more traffic to your website.
Also read: Website maintenance: Check and fix 404 error pages
A great website should be easy for everyone to use, including people with disabilities. Use descriptive alt text for images, maintain sufficient color contrast, structure your content with proper headings, and ensure your website is easy to navigate using a keyboard. If you’re using WordPress, there are several accessibility plugins that can help improve your site’s usability while supporting accessibility best practices.
Must read: The importance of accessibility in WordPress
A well-designed website attracts visitors, but valuable content keeps them coming back. Whether you’re publishing blog posts, service pages, or product descriptions, focus on answering your audience’s questions and solving their problems. Following proven content SEO and blog SEO best practices will help your content perform better in search engines while providing a better experience for your readers.
Building a website no longer has to mean learning to code, hiring a developer, or spending weeks piecing together different tools. AI website builders have made the process faster, more intuitive, and accessible than ever before. As you’ve seen throughout this guide, all it takes is the right platform, a clear vision, and a few thoughtful prompts to turn an idea into a live website.
As Sachin Puri, CEO of Bluehost, puts it, the real power of AI lies in removing complexity for users. That’s exactly what modern AI website builders are doing. They simplify the technical side of website creation so entrepreneurs, creators, and small businesses can focus on what matters most: building their brand and growing their online presence.
So, if you’ve been waiting for the right time to build your website with AI, this is it. Start with a prompt, personalize the result, and let your website grow alongside your business.
The post The complete guide to building a website with AI: From prompt to publish appeared first on Yoast.
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Ranking within Google’s traditional search results provides diminishing returns. Ads, AI Overviews, and other search engine results page (SERP) features push organic links further down the page.
As the search landscape changes, how should brands adapt to ensure they’re represented in AI-powered responses?
The more you know about how AI engines use your brand’s information and when they cite it, the better you can use AI search to your advantage. With that knowledge, you can move beyond whether AI models know your brand and start developing your own AI visibility strategy.
It’s important for most brands to understand AI search and begin developing an AI SEO strategy as quickly as possible. While a full transformation from organic to AI search appears to be years away, AI SEO may eventually replace traditional SEO.
Google is already leaning heavily on AI search. As CEO Sundar Pichai said in an April article from The Verge:
At the same time, users are adapting to AI search features. When users encounter an AI-powered summary in search results, they click a blue link just 8% of the time, a Pew Research study found. When they don’t encounter AI summaries, they click blue links 15% of the time.
Although AI search traffic is still limited, it tends to have a higher conversion rate than organic search traffic. AI traffic had a conversion rate of 11.4%, compared to 5.3% for organic search traffic, per a Similarweb study.
See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.
Brands can exist in AI systems in two distinct ways: usage and citation.
AI engines ingest information about your brand and use it when responding to search queries. This is somewhat similar to how Google traditionally indexes pages before ranking and serving them in search results.
When AI engines use your content, they may also mention your brand as an unlinked citation. This can drive discovery and may prompt users to search for and engage with your brand.
Citation occurs when an AI engine directly references your brand as a source of information. This may be a link to your web page, a link to your social profile, or a clickable phone link that lets users call you.
Within OpenAI, usage and citation rely on separate technical levers. As OpenAI’s documentation explains, there are four distinct user agents, with OAI-SearchBot and GPTBot deployed separately. Other AI systems have similar controls and measures that point to the same distinction.
AI engines often answer questions directly without necessarily citing web sources. This isn’t a new phenomenon. Before AI Overviews, Google tried something similar with featured snippets.
ChatGPT retrieves almost the exact same number of cited (~16.57) and uncited (~16.58) URLs to generate an average response, according to an Ahrefs study. Yet Reddit accounts for more than two-thirds (67.8%) of uncited URLs. As a result, comparing cited and uncited URLs is really a comparison between search results and Reddit API output.
This demonstrates that many AI systems are biased in the uncited information they provide to users. Certain platforms and websites are better than others at helping brands appear in AI answers. Brands that try to force themselves into AI models without understanding where those models source most of their information will be at a distinct disadvantage.
Start by tracking your brand’s status and progress over time. Run a representative selection of prompts through an AI visibility platform and examine the citation sources. Where do they land, and what does that tell you?
There are many emerging AI citation tracking platforms to choose from. Established platforms like Semrush and Ahrefs have also integrated AI tracking features.
Scale your tracking and research efforts as much as possible. This can be difficult because AI prompt tracking often relies on API calls and is more expensive than traditional search ranking tracking.
As long as your sample is broadly representative, most tracking platforms will pull multiple responses and calculate some type of average. Although the volume of data is smaller, it’s usually quite rich.
Don’t forget to read AI and data vendor studies. They’re valuable sources of information because they show where AI engines pull information from.
Continual monitoring and adaptation are key. Over time, you can place your brand within the sources AI engines rely on most heavily.
Yes, you should continue to pursue traditional search rankings, but not for the reasons you might think. The connection between organic ranking positions and performance has become much more nebulous.
However, Ahrefs research suggests a correlation between AI citations and Google ranking positions, at least for Google AI Overviews. A July 2025 study found that 76.1% of pages cited in AI Overviews ranked in Google’s top 10 organic search results. For AI Overviews, which may become a dominant force in AI search over the coming years, traditional rankings still seem to matter.
AI engines rarely cite generic content that restates what other sources already say, an April study from Semrush found. Content that earns citations adds unique value.
This aligns with Google’s helpful content guidance, which encourages brands to publish original information. Producing content with a unique, trusted, and statistically grounded perspective can also help improve Google rankings.
Since many tactics for earning higher organic rankings can also earn AI citations, there’s no reason to abandon traditional SEO techniques and content strategies.
Both usage and citation require continual tracking and analysis. To increase the likelihood that AI engines use your brand’s knowledge and content, get your brand into the sources each AI model relies on. To earn citations, stay crawlable, rank organically, and say something original.
Classic SEO still earns its keep because the techniques that win organic rankings often earn AI citations as well. Yet the returns are diminishing, and AI SEO may one day replace traditional SEO altogether. That’s still a long way off, so for now, keep ranking, start tracking, and pursue both.
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If you’re struggling to scale performance with Microsoft Advertising, you may be treating it as a place to replicate a strategy developed elsewhere.
Import can get you live fast. Performance comes from adding human judgment, Microsoft-specific structure, foundational measurement, controls tailored to your business needs, and a broad range of creative assets that help AI understand your products or services.
The strongest accounts share a common approach: Import is a starting point, visual creatives unlock more demand and better performance, and AI performs best when you give it the right structure, creative, measurement, and guardrails.
Here’s how to use Microsoft-specific mechanics to improve performance while avoiding common pitfalls.
Note: I’m a Microsoft employee, and this article was written as objectively as possible. I’ve also included hidden gems sourced from the community that highlight favorite features where relevant.
Import is useful because it removes friction. It can bring over structure, assets, and settings from Google, Meta, or Pinterest so you can launch faster. The mistake is assuming a successful import means your Microsoft Advertising strategy is finished.
Imported campaigns preserve yesterday’s assumptions. Microsoft Advertising still requires decisions about budget, bidding, audiences, creative, measurement, reporting, and AI-powered opportunities.
One of the most important import decisions is whether future changes from the source platform should continue syncing to Microsoft Advertising. If your goal is to mirror another platform, automatic sync may reduce overhead. If your goal is to build a Microsoft-specific strategy, automatic sync can quietly erase the optimizations you make after launch.
To access the full list of import settings, go to Manual import > Advanced settings. Review which settings should stay, which should change, and which Microsoft-specific opportunities weren’t part of the original structure.
Imported budgets may not reflect the opportunity or efficiency available, especially if you consolidate campaigns with ad-group-level controls.
Imported bids may preserve assumptions from another platform instead of giving Microsoft Advertising room to optimize for its own auction dynamics, audiences, and conversion data.
Import also can’t choose Microsoft-specific opportunities for you. Review these settings after launch:
Uncover the keywords, ads, landing pages, and strategies driving your competitors’ paid search success—and find your next opportunity to outperform them.
Account-level settings may seem overly technical. In practice, they determine whether AI receives clean signals or learns from bad data. Settings like business attributes also let you communicate why customers should choose your business.
The best bidding strategy can’t compensate for incomplete conversion data. Microsoft Advertising provides account-level settings that help ensure conversion and attribution data flow correctly, including:
Without verified tracking, it’s easy to blame bidding, keywords, audiences, or creative when the real problem is incomplete or inconsistent conversion data.
If your organization relies heavily on UTM parameters, validate how auto-tagging and manual tagging interact. The goal is clean reporting, not duplicated parameters or attribution confusion caused by mislabeling.
When enabled, Microsoft Advertising can use images from your landing pages to create more compelling, relevant ad experiences that better match a potential customer’s intent and context. If you have strong, well-maintained landing pages, this can improve creative asset coverage without having to manually build every image variation for every campaign type.
AI-optimized creative works best when your site already contains brand-safe, relevant, high-quality imagery. If your pages contain images you wouldn’t want appearing in ads, or if the imagery is sparse, text-heavy, or doesn’t represent the offer well, upload the assets you want the system to use. Auto-retrieved images reduce creative friction. They don’t replace creative strategy.
Account-level negatives help eliminate unwanted traffic patterns across your account. Microsoft supports phrase and exact match negatives. If you want to eliminate a root problem, a phrase match negative is likely the better option. For a specific search term, an exact match negative may work better. Neither negative match type accounts for close variants.
Use account-level negatives only for terms you’re confident shouldn’t serve anywhere in the account. Keep nuanced exclusions at the campaign or ad group level.
Microsoft Advertising gives you useful controls, but the goal isn’t to micromanage every lever. Give AI cleaner inputs, stronger guardrails, and fewer structural problems to solve. Use human judgment to guide the system.
Ad-group-level location and ad schedule settings can reduce the need to create duplicate campaigns or split budgets across multiple accounts.
I’ve seen advertisers create separate campaigns solely to accommodate different geographies or schedules. In many cases, those settings can be managed at the ad group level, resulting in a simpler structure and more concentrated conversion volume.
That consolidation matters because automated bidding generally performs best with stronger, more consistent signals. A practical benchmark is to aim for at least 30 conversions in 30 days, where possible. That level of steady signal gives automated bidding a better chance of making stable decisions than a fragmented structure with thin conversion volume.
Location targeting deserves review. Microsoft Advertising supports geographic targets, radius targeting, and exclusions, but city-, county-, metro-, or DMA-level strategies may be more practical than forcing ZIP codes.
If Microsoft doesn’t support a specific location target, it defaults to the next-highest level (for example, ZIP code to city or city to DMA). If you need narrow targeting, consider using exclusions.
Large bid or budget changes can create performance volatility as the system adjusts. As a general rule, keeping bid or budget changes below 15% over a 14-day period can help reduce avoidable learning volatility. Larger changes may still be necessary, but make them intentionally rather than accidentally resetting the system’s learning rhythm.
Seasonality adjustments help when you expect a temporary conversion rate change because of a sale, event, promotion, or other short-term spike. Data exclusions help when conversion tracking breaks or reports misleading data you don’t want automated bidding to learn from. These tools aren’t bidding hacks. They protect automation from learning the wrong lesson.
The best way to communicate with the bidding algorithm is through conversion value rules grounded in accurate conversion tracking. They let you create if/then statements for devices, audiences, and locations to add a monetary amount to or multiply your conversion value.
Microsoft supports bid adjustments across audiences, devices, demographics, locations, and time. Multiple adjustments can compound. If a user qualifies for several categories at once, your bid may become more aggressive than intended.
Before adding another layer, ask whether you truly want to spend more to reach that audience, in that location, on that device, during that time. If you want the algorithm to understand value, meaningful conversion values and conversion value rules are usually stronger signals. If values aren’t reliable, CPA-oriented bidding with carefully chosen adjustments can still work.
Microsoft’s differentiated audiences, inventory, and creative formats can help you generate and shape new demand rather than only capture existing demand.
LinkedIn profile targeting remains one of the most unique audience capabilities in Microsoft Advertising. You can apply bid adjustments based on company, industry, job function, and seniority.
Multiple targets within the same LinkedIn profile category act as “or” statements, while targeting across categories narrows the signal. A company target plus a seniority target is more restrictive than choosing two companies, which is useful when intentional and expensive when accidental because bid adjustments compound.
For B2B advertisers, this can be especially useful, but it isn’t limited to enterprise brands. Any business selling to specific professional audiences can use these signals to prioritize valuable traffic.
For example, if a brand is trying to reach someone traveling for work with local experiences or travel gear, it might bid up on someone with a “Business development” job function in an industry with a conference taking place in the next two to three weeks.
Traditional remarketing relies on someone visiting your website. Impression-based remarketing introduces another option: building audiences based on people who’ve been exposed to your advertising.
A prospect may not click the first time they encounter your brand, particularly in formats such as Audience ads, Premium Streaming, or Multimedia ads. Impression-based remarketing lets you continue that conversation later rather than treating the initial exposure as a failed interaction. An impression can be the starting point for an audience strategy.
Many advertisers disable search partners because they assume they behave like display network expansions on other platforms. Search partner inventory is still search inventory, and Microsoft provides publisher visibility, so you can evaluate it rather than reject it based on assumptions.
Recent Microsoft studies have shown a 45% improvement in conversion rates and a 20% reduction in low-quality impressions tied specifically to Search Partner inventory, independent of advertiser optimization.
If specific publishers aren’t performing, use the available controls. You can manage unlimited exclusion lists at the MCC account level, and each list can exclude up to 2,500 URLs. If you need to protect a campaign’s ability to target a placement, such as when running Performance Max and Audience ads simultaneously, exclude domains surgically rather than cutting off useful inventory.
Multimedia ads participate in their own auction and can appear in prominent visual placements on the search results page. A traditional search ad and a Multimedia Ad can both appear for the same brand, increasing your presence on the results page.
Multimedia ads can be enabled at the campaign level, with ad-group-level decisions that help direct budget toward or away from the format.
They also matter because they can amplify your visual presence, serve as ads in Copilot, and qualify for impression-based remarketing. Their value isn’t limited to direct-click performance. They can connect search visibility, visual storytelling, and remarketing strategy.
Audience ads (display, native, and video) can be a controlled way to expand reach, support full-funnel strategy, and build remarketing inputs that inform other parts of the account.
Audience ads support audience strategies, placement preferences, content category controls, and creative preview before launch. For organizations that require legal, brand, product, or executive approval, preview capability can simplify the review process.
Microsoft Advertising has editorial policies you should understand rather than assuming every platform evaluates ads the same way. Claims such as “best,” “number one,” or other superiority language need clear landing page support.
Microsoft Advertising also allows some emphasis you might not expect, such as one exclamation point in headlines, but that flexibility doesn’t remove the need for substantiated claims and clean final URLs.
Editorial issues often get misdiagnosed as platform friction. In many cases, the issue is a specific asset rather than the entire ad, but final URL problems are more fundamental and can prevent an ad from serving.
Extensions and visual assets can also help brands communicate more value before users reach the landing page, especially in competitive categories where plain text may not provide enough differentiation.
Microsoft’s approach to AI is most useful when viewed as an augmentation rather than a replacement. Human-centered AI should enable thoughtful scale while preserving advertiser consent, transparency, and trust.
Performance Max can be powerful, but it requires a different mindset from traditional campaign structures. Asset groups aren’t ad groups. There’s no asset-group-level equivalent to ad-group negatives, and you can’t force one asset group to take priority over another.
Performance Max is designed for AI-driven allocation. If strict control is your priority, traditional Search, Shopping, and Audience campaigns may provide clearer governance. The best way to influence Performance Max is through:
If you run the same search theme as an exact match keyword, there’s a strong chance the exact match keyword will serve instead of the Performance Max campaign. Use search themes as testing grounds rather than duplicating exact match keywords.
Performance Max website URL reporting provides URL-level visibility into spend, clicks, impressions, and conversions. This gives you more to work with than impression-only reporting and can make automated campaign testing easier to justify.
If budget separation matters, create distinct campaigns rather than forcing multiple business objectives into a single Performance Max campaign. Microsoft’s campaign capacity of 300 Performance Max campaigns, compared with Google’s 100, can be useful when meaningful budget priorities require separation.
For example, if you have two equally important products with drastically different tROAS goals, you wouldn’t want them to share budgets because there’s no way to specify which asset group or product should take priority. They’re better served in separate campaigns with distinct budgets and tROAS goals aligned to their margins.
The rule is simple: If related assets and audiences can share a budget, consolidate Performance Max campaigns to strengthen conversion volume. If budget separation matters, build that control at the campaign level instead of trying to force it through asset groups.
AI Max now addresses many of the use cases that once made Dynamic Search ads valuable. If your goal is to let Microsoft AI better match queries, creative, and landing pages, AI Max may be the better place to focus your testing.
That doesn’t mean you should abandon existing high-performing campaigns. It means you should be intentional about whether you’re investing in legacy dynamic functionality or AI-powered capabilities built on Microsoft’s latest technology.
Ads can appear in relevant Copilot experiences when Microsoft determines there’s clear commercial intent and the ad may help the user. Ads have served in Copilot since 2024. The goal isn’t to force ads into AI answers. It’s to preserve a useful experience for the user.
Copilot isn’t a separate campaign type you manually opt into. Performance Max, AI Max, exact, phrase, and broad match search campaigns, Multimedia ads, and Shopping ads are all eligible to serve in Copilot. Performance Max and AI Max have the easiest time serving in Copilot because they can adapt to AI-driven experiences.
Copilot can help you brainstorm, rewrite, refine, and adapt creative across workflows, including Performance Max, responsive search ads, Multimedia ads, Audience ads, and other campaign types where you need to adjust tone, rewrite copy, or develop stronger variations. Copilot doesn’t replace the marketer. It reduces friction between strategy and iteration.
Ad Studio can generate new creative assets and make adjustments such as background modifications, seasonal refinements, location-specific tailoring, and additional aspect ratios. Its best use isn’t replacing the brand team. It’s accelerating iteration once the overall creative strategy is established.
AI-generated assets can also help diagnose how clearly your site communicates. If the outputs accurately represent your business, your site is likely sending clearer signals. If they consistently miss the mark, your landing pages, messaging, or content structure may be confusing both AI systems and people. The Performance Max campaign generator can serve as a useful diagnostic shortcut for the same reason.
No amount of AI, bidding nuance, or audience strategy can compensate for poor measurement. Microsoft Advertising provides extensive reporting visibility, and you should use it before making media-only decisions.
Microsoft provides visibility into every search term that generates a click as part of its transparency approach. That visibility can reveal whether a query is:
Microsoft Clarity answers an important question: What happens after the click? It can show whether users engage with the page, get confused, abandon forms, encounter technical issues, or complete actions that aren’t being tracked correctly.
Clarity should be part of your diagnostic process before making campaign changes.
Clarity can also help you understand how AI systems interact with your content, including the grounding queries that led AI systems to cite your domain and recommendations for improving citation opportunities.
If AI systems cite your domain as relevant, that can validate your content strategy. If they don’t, or if the queries reveal mismatches, that may point to gaps in how your content communicates its value.
See where competitors are investing, which keywords drive their results, and how to capture more of the market.
You can import existing campaign structures and assets while also taking advantage of Microsoft-specific capabilities. AI can play a central role, serve as an occasional assist, or be used selectively, though scaling becomes more difficult without some level of AI adoption.
Testing Microsoft Advertising doesn’t require a large investment, but it does require getting the fundamentals right, including conversion tracking, bid-to-budget ratios, and creative that reflects the channel’s visual nature.
When you get those fundamentals right, Microsoft Advertising offers search term transparency, GDPR-compliant impression-based audiences, and opportunities to reach people across the surfaces where they work, live, and play.
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For most of the past decade, organic marketers have operated with a clear north star: visibility. Get on Page 1. Get in the featured snippet. Get seen.
That north star has now moved.
The question I put to the room at SMX Advanced on June 5 wasn’t, “How do you get found?” It was the even harder question: “How do you get chosen?”
In 2026, the answers are no longer the same, and the gap between them is where most brands lose ground.
The complex, multi-touchpoint user journey of exploration, evaluation, and conversion has been dramatically compressed. A single AI prompt now does the same work that previously required a dozen searches, three Reddit threads, and a couple of comparison sites.
AI search doesn’t reward the brand that shouted the loudest in paid media or stuffed the most keywords into its metadata. Instead, it rewards the brand with the strongest reputation in the spaces that matter, the same spaces the user journey once encompassed. Reddit threads, comparison sites, and the like all get ingested by LLMs and blended into a single synthesized answer.
In other words, your brand is no longer just what you say it is. It’s how AI understands your brand, and the algorithm is reading everything everyone else has ever said about you.
Brand-owned content, across websites and social channels, will always be self-serving and promotional. AI looks for third-party validation to back up those claims.
This shift changes everything for organic marketers. Our job has gone beyond building visibility to building a brand that, once found, is correctly understood and ultimately chosen. Those are three distinct challenges, and they require three distinct strategies.
See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.
The first challenge is still about discoverability, but we now work with a much broader canvas than just Google. Consumers now discover brands across ChatGPT, Reddit, YouTube, TikTok, Google, Quora, LinkedIn, and, yes, word of mouth. There are dozens of entry points into the discovery ecosystem, and you need to be credibly present in the ones your specific audience actually uses.
This starts with understanding your audience’s sources of influence: the publications, platforms, communities, and voices they genuinely trust. The intersection of semantic relevance, domain authority, and audience affinity tells you which third-party properties are worth targeting. For one B2B audience, that might be Wired, Tom’s Guide, or a LinkedIn group that actively discusses vendors in a particular vertical. For another, it’s r/smallbusiness and a Substack newsletter with 40,000 subscribers.
Once you know where your audience spends time, you can create content and earn your spot in the conversation in those exact places. This is targeted, audience-first, performance-driven PR and organic strategy that puts your brand in the conversations already happening at the decision point.
The data underscores the importance of earned media. Across the top commercial sectors we analyzed, 93% of AI search citations come from third-party sources. If you’re only investing in content that sits on your own domain, you’re invisible to the systems now doing the heavy lifting of brand discovery.
Getting found is necessary, but it’s not a standalone effort. If you’re getting found by machines, your brand is understood well enough to be surfaced.
LLMs go beyond crawling your website. They synthesize a consensus picture of your brand from everything about you that exists online: reviews, Reddit discussions, press coverage, YouTube commentary, Trustpilot ratings, forum threads, and more. If those signals conflict with what you’re saying about yourself, you have a problem.
A brand that claims premium positioning but has thousands of articles questioning whether it’s actually luxury, a history of heavy discounting, and a Trustpilot score of 1.3 isn’t going to be recommended by AI as a premium option, regardless of how well-crafted its homepage copy is. The algorithm has read the whole story, not just your version of it.
This means brand messaging consistency is now an SEO issue. Every piece of owned, earned, and paid content needs to reinforce the same core associations — because the model is building a cohesive picture from all of it. Conflicting signals confuse customers and actively suppress your AI visibility.
Digital PR plays a critical role here. It engineers the external narrative. Through strategic media placements, expert commentary, and search-informed coverage, you shape what journalists write about you and what the models learn about you. The query fan-out (the range of prompts a potential customer might use) requires positive, consistent answers across every touchpoint where an LLM might look.
The third challenge is the hardest and arguably the most important. Trust has always been an SEO currency. As clicks decline and zero-click search becomes the norm, its importance has only grown.
Brand appearance in AI Overviews is most strongly correlated with branded web mentions (i.e., the number of times your brand is positively named across authoritative third-party sources), according to an Ahrefs study. This is essentially digital PR’s core output, and it is one of the most powerful levers available to organic marketers right now.
Based on the last 4,000 pieces of U.S.- and U.K.-based coverage we’ve driven for our clients, 91% of AI search citations include expert insight rather than branded content or product pages. This means expert-backed, editorially independent coverage is critical. That’s why your internal experts are your most valuable asset in the current landscape, and why brands investing in genuine thought leadership, original research, and data-backed studies are pulling ahead.
The three content formats consistently driving LLM feature inclusion are product roundups and listicles (getting your brand into trusted “best of” editorials), reliable data-backed research that journalists and LLMs cite as authoritative, and expert thought leadership that positions your people as the go-to voices in your category.
What doesn’t work (and what Google has explicitly flagged in its recent release of GEO guidelines) is seeking inauthentic mentions using methods like artificial link schemes, fake expert personas, and manufactured coverage. Models are increasingly adept at distinguishing genuine authority from manufactured signals, and the reputational downside of getting caught is severe.
None of this works as a one-time effort. Multiple studies, including research from Waseda University, have identified a correlation between AI brand visibility and content recency.
Brands that maintain a steady drumbeat of credible, expert-backed third-party coverage don’t just appear more often in AI responses. They appear more confidently.
Frequency and freshness of coverage both matter. It’s not enough to deliver a one-off PR campaign. This is a strategic investment that needs to be “always on.”
Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions.
When talking about brand discovery in 2026, three words are essential:
The brands winning in organic search right now haven’t cracked some new technical trick. They’ve built a reputation that’s genuinely worth recommending and made sure the machines know it. Stop chasing the algorithm and start building something worth finding.
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