How to Do an SEO Audit: A Step-by-Step Website Audit Guide

Key Takeaways 

  • An SEO audit is a comprehensive analysis of your site’s technical health, content, backlinks, and AI search visibility. It shows you what’s holding back your rankings and how to fix it.  
  • Audit timing depends on scope: Small sites might take a few hours, while larger or more complex sites take a week or more.  
  • A complete audit covers technical SEO (e.g., site speed, indexing), on-page elements (e.g., meta titles, content gaps), off-page factors (e.g., backlinks, E-E-A-T), and AI search visibility (e.g., AI Overviews, ChatGPT Search).  
  • Tools like Ubersuggest, Ahrefs, Screaming Frog, Google Search Console (GSC), and PageSpeed Insights can make an SEO audit more manageable.  
  • Run a full audit at least once a year, with quarterly check-ins for larger or fast-moving sites and mini-audits after site changes or ranking drops. 

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. 

What Is an SEO Audit? 

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: 

  • Content refresh opportunities 
  • Technical SEO issues, such as site speed issues or mistakes in your website’s code 
  • Areas where competitors are outranking you
  • Ways to improve UX by improving load times and mobile accessibility for the optimal customer experience 
  • Keyword implementation, including titles and meta descriptions 
  • Rank performance for your chosen keywords and in the search engine results pages (SERPs) and AI platforms 
  • Content updates to align with algorithm and guideline changes 
  • Backlink quality 

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: 

  • A 210% increase in non-branded organic search clicks year-over-year (YoY), 30 days post-migration 
  • A 33% increase in the total number of keywords ranked in positions 1-10 YoY 

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: 

  • Your website’s organic traffic and conversions are falling. 
  • The site has a high bounce rate. 
  • Your keyword rankings are falling, and you don’t know why. 

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. 

Tools You’ll Need

SEO audits can take anywhere from a few hours to six weeks, but the right tools make them far more manageable. 

  • Ubersuggest is my all-in-one SEO platform. It offers backlink audits, keyword research, and content performance analysis in one dashboard. You can also get a clean one-page site audit, do competitive analysis, find content ideas, and get domain overviews in just a few clicks. 
A screenshot of Ubersuggest’s Site Audit report that displays on-page SEO metrics, organic monthly traffic, organic keywords, backlinks, etc. 

Source: https://app.neilpatel.com/en/seo_analyzer/site_audit 

  • Screaming Frog improves your SEO by leveraging its SEO Spider crawler to identify common issues such as broken links, duplicate content, and missing meta tags. 
A screenshot of Screaming Frog’s SEO Spider Landing page 
  • Copyscape finds plagiarized and duplicate content, which can affect your SEO. 
  • Lumar (formerly Deepcrawl) is a website crawling tool that checks your site’s technical performance, like site speed and accessibility issues. It provides more than 250 built-in reports.  
  • Schema Markup Validator ensures the proper implementation of structured data on a website. Just enter your URL to run a test to find and fix errors. 
  • Google Search Console provides you with key metrics that show you exactly how your page is performing in the Google SERPs. View search traffic data, ensure Google can find and crawl your site, and fix any indexing issues, all within the same platform.  
  • Google PageSpeed Insights helps you evaluate your site’s user experience (UX). It’s a solid starting point for measuring Core Web Vitals, the key metrics Google uses to assess page speed, responsiveness, and visual stability, and shows you how fast your pages load, along with specific actions you can take to improve them. 

How to Perform an SEO 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: 

1. Run a Website Crawl

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. 

Ubersuggest Site Audit dashboard for www.neilpatel.com.  

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.

Ubersuggest Site Speed report for neilpatel.com, based on real visitor data from the last 28 days 

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. 

2. Analyze Organic Traffic

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. 

3. Review Meta Titles and Meta Descriptions 

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

4. Check for Keyword Cannibalization

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. 

Graphic displaying what content consolidation might look like for a particular topic. 

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.  

5. Fix Indexing Issues

Common indexation issues include: 

  • 404 errors 
  • Server errors 
  • Broken redirects or redirect loops 
  • Duplicate content 
  • Thin or empty pages 
  • Incorrect use of canonicals 

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. 

 A detailed Google Search Console URL Inspection Tool report for one of the pages under the domain www.contentking.app.

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

6. Check for Duplicate Content

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. 

A screenshot of SEO Content Checker’s listing in the Chrome Web Store.  

Once you find duplicates, you have a few good options: 

  • Consolidate similar pages to cut redundancy. 
  • Set up 301 redirects to your preferred URL. 
  • Add canonical tags to tell Google which version to index. 

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

7. Check Page Speed

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. 

A Screenshot of Ubersuggest’s site speed and page speed report. It provides metrics like load time, interactivity, and visual stability. 

To address slow load times, focus on these fixes: 

  • Improving server response time, or time to first byte (TTFB) 
  • Optimizing images 
  • Using a content delivery network (CDN) 
  • Reducing the number of plugins and scripts 
  • Minifying CSS, JavaScript, and HTML 
  • Enabling GZIP compression on your server 

Small speed improvements compound across thousands of page views, so prioritize the biggest bottlenecks first. 

8. Check Core Web Vitals

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: 

  • Largest Contentful Paint (LCP) measures loading performance. Aim for under 2.5 seconds. 
  • Interaction to Next Paint (INP) measures responsiveness to user input like clicks and taps. Aim for under 200 milliseconds. 
  • Cumulative Layout Shift (CLS) measures visual stability during page load. Aim for a score under 0.1. 

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

Google’s PageSpeed Insights report for npdigital.com. 

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. 

9. Analyze Mobile Friendliness

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. 

A screenshot showing how to navigate to the Lighthouse report using the steps described above.  

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. 

10. Fix Broken Links

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. 

The results of a Screaming Frog SEO Spider report filtered to show only pages that send a Client Error (4xx) message. 

11. Complete a Competitive Analysis

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: 

  • Keywords that your competitor ranks for 
  • Keywords your competitors have lost
  • Number of backlinks each website has 
  • Quality of backlinks 
  • Social media engagement (e.g., Facebook likes, Twitter followers) 
  • Website speed 
  • Mobile responsiveness 

Many tools can simplify this task, but I’ll talk you through using Ubersuggest. All you need to do is: 

  1. Enter the competitor’s URL and select “Search.”
  1. Choose “Keyword Ideas” from the left sidebar. 
  1. Analyze the keyword and content ideas list. 
List of keyword ideas in Ubersuggest. 
List of content ideas in Ubersuggest. 

4. Click Backlinks Overview. 

5. Scroll down to the “Source Page Title & URL” section. 

 List of individual backlinks in Ubersuggest showing each link's Domain Authority, Page Authority, and Spam Score. 

    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.  

    12. Analyze Your Sitemap

    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. 

    A screenshot of Google Search Console showing two sitemaps that were successfully discovered 
    • Review the sitemap status to ensure that Google has successfully processed and indexed your sitemap. You’ll also see if there are any warnings or errors listed. 
    • If you need to make changes, click on the sitemap you want to audit and check the list of submitted URLs. Review the list to confirm that it includes all your website’s essential pages. 
    • Take note of the number of URLs submitted in a sitemap and how many are listed in “Discovered URLs.” Ensure that the search engines are indexing a significant portion of your submitted URLs. A large discrepancy might indicate indexing issues. 
    • Look for common errors like “URL blocked by robots.txt.” 
    • Next, validate URLs. Use the “Inspect URL” feature to manually check the indexing status and coverage of specific URLs to find specific page issues. 
    • Then, if you’ve made any fixes during your SEO audit, update your sitemap and resubmit to Google by clicking the submit button. 

    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.    

    13. Identify Content Gaps 

    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: 

    • Looking at rankings: Perhaps your keywords rank, but not as high as you’d like. Begin with the basics by making sure that SEO fundamentals are in place and enhancing content where possible. 
    • Using keyword research: Your first step is to see what’s working, so check for high-performing keywords. Pay special attention to long-tail keywords, as these often have lower competition. Look out for related keywords, too.
    • Competitive analysis: Which keywords are your competitors ranking for? Use these as inspiration for new topic ideas. 

    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.  

    A screenshot of keyword research in Ubersuggest showing keyword gaps you can use to your advantage.  

    14. Review Structured Data 

    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. 

    A screenshot of Google’s Rich Results Test tool, which you can use to see if your site will show in featured elements of the SERPs.  

    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. 

    15. Evaluate E-E-A-T Signals

    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: 

    • Author bios with real credentials and links to professional profiles (e.g., LinkedIn, published work) 
    • About pages that clearly establish the site’s purpose, ownership, and editorial standards 
    • Original research, data, or first-hand experience woven into the content 
    • External citations or links from credible sources to back up claims 

    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. 

    An example of a good author bio that provides a clear picture, in-depth description, as well as links to get in contact with the author at all their social platforms.  

    16. Audit Your Backlink Profile

    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: 

    • Toxic or spammy links. Watch for unnatural anchor text patterns, low-authority referring domains, and links from spam-prone neighborhoods (e.g., link farms, irrelevant foreign-language sites). Disavow or remove these. 
    • Lost backlinks worth reclaiming. Look for pages that used to have links pointing to them but have since been moved or deleted. You can often recover the link with outreach or a 301 redirect. 
    • Overall link profile diversity. A healthy profile draws from a wide range of referring domains across different industries, geographies, and content types. A heavy concentration of links from a small number of sources can look unnatural to Google. 

    Both Ubersuggest and Ahrefs are useful for this. For a deeper walkthrough, see our link audit guide. 

    Screenshot of Ubersuggest’s Backlinks Overview showing a site’s Domain Authority, Referring Domains, Backlinks, and more.  

    17. Check AI Search Visibility

    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: 

    • Google AI Overviews. Run your target queries in Google and note whether any of your pages get cited in the AI-generated overview at the top of the results.
    • Other AI answer engines. Run the same queries in ChatGPT Search, Perplexity, and similar tools to see if your content shows up in their responses. 

    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. 

     A Google AI Overview for the query “How do I audit my backlink profile,” returning a citation and directly answering the question. 

    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. 

    FAQs

    Why is an SEO audit important?

    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. 

    What is included in an SEO audit?

    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. 

    How long does an SEO audit take?

    A small site can be audited in a few hours. Larger or more complex sites typically take one to several weeks. 

    How often should you conduct an SEO audit?

    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. 

    Conclusion 

    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. 

    Read more at Read More

    How to justify GEO investment without perfect attribution

    Fractured attribution

    My 8-year-old daughter desperately wanted a Nintendo Switch. Her evil parents refused to buy it for her.

    She was too young to get a job, so she did what any resourceful kid would do: she set up a lemonade stand in front of our house.

    But she didn’t just put out a table and a pitcher. She ran a high-stakes A/B test.

    Her hypothesis was simple: if she could get more people to stop, she could sell more lemonade and buy her Nintendo Switch faster.

    Variant A was her two-year-old sister, Julie, stationed out front to attract attention.

    Variant B was our dog, Ginger.

    I know what you’re thinking.

    The dog. Obviously, the dog.

    But her sister won. It wasn’t close.

    The only metric that mattered

    Actually, my daughter didn’t care about the outcome of the A/B test. She didn’t care how many people stopped by the stand.

    She cared about one thing, and one thing only:

    Did she make enough money to buy the Nintendo Switch?

    Marketers have a similar problem right now.

    Generative engine optimization (GEO) is the practice of increasing your brand’s visibility in AI-generated answers from platforms like ChatGPT, Gemini, Perplexity, and AI Overviews.

    We’re tracking AI visibility, citation share, impressions, rankings, and every other signal we can find.

    Meanwhile, leadership is asking a much simpler question:

    Is any of this helping the business grow?

    I use a simple test I call the Dollar Rule: If I can’t put a dollar sign in front of a metric, it’s a channel metric, not a business metric.

    That’s the challenge with GEO.

    Most of the metrics we’re tracking are useful operational signals. They tell us what’s happening inside the channel.

    Leadership wants something different.

    They want to understand business impact.

    GEO arrived at exactly the moment attribution started becoming less reliable.

    Traditional SEO measurement was built around a straightforward model: someone searched, clicked, visited your website, and converted. You could trace the path and measure the outcome.

    AI search changed that.

    Buyers are making decisions before they ever reach your website and AI influence is hard to measure with traditional attribution models.

    AI search broke attribution

    Buyers now discover brands through AI-generated answers, citations, publishers, forums, reviews, videos, and other sources that influence decisions before a click ever happens. Much of that influence never shows up cleanly in analytics.

    That’s why so many teams are struggling to justify GEO investments. The visibility is real. The influence is real. But the attribution is often incomplete.

    Waiting for perfect attribution is becoming a convenient excuse for inaction.

    If you want buy-in for GEO, you need a way to connect that influence to business outcomes, even when you can’t connect every interaction to a conversion.

    Making the case for GEO using financial impact

    The biggest mistake marketers are making right now is trying to prove attribution before proving value.

    Before you worry about attribution, ask whether you’re measuring something that matters to the business. 

    That’s where the Dollar Rule comes in.

    We’ve found that justifying GEO usually comes down to three things:

    • Align metrics to business outcomes.
    • Verify that the metrics reliably point you in the right direction.
    • Translate the metrics into language your CFO understands.

    The Dollar Rule is simple: 

    If a number doesn’t translate into dollars, it’s a channel metric, not a business metric.

    Consider revenue opportunity, revenue at risk, payback period, and customer acquisition cost. These are the metrics that live on a P&L, and they’re the ones your leadership team actually cares about.

    CFOs don’t allocate budget based on attribution models. They allocate budget based on expected financial outcomes.

    Here’s what that looks like in practice.

    Influence over attribution

    AI search didn’t just change discovery. It changed measurement.

    Traditional organic attribution assumes a simple path: search, click, visit, convert.

    AI platforms increasingly answer questions before a click happens, influence buyers across multiple touchpoints, and often remove the referral data marketers depended on.

    The result is a strange situation: your GEO campaigns may be influencing pipeline while your analytics platform struggles to prove it.

    Loamly estimates that roughly 70% of AI-influenced traffic appears as Direct traffic in GA4, making a large portion of AI’s contribution difficult to trace through traditional attribution models.

    That doesn’t mean measurement is impossible. It means we need to broaden where we look for evidence.

    Instead of asking, “How many clicks do we get from AI search?” ask:

    • Is branded search growing?
    • Are prospects arriving already familiar with our positioning?
    • Are we cited in AI answers for revenue-driving questions?

    None of these signals is definitive on its own. Together, they create enough confidence to make investment decisions.

    This is how GEO measurement differs from traditional SEO. You’re not measuring a click path. You’re measuring market influence.

    The marketers who adapt fastest will stop treating attribution as a traffic sorting exercise and start combining quantitative signals with qualitative evidence. The goal isn’t certainty. The goal is confidence that your GEO investment is moving the business in the right direction.

    You’re measuring the wrong thing

    The problem isn’t that SEO or GEO metrics are wrong. The problem is that they’re often precise without being relevant to the business outcome you’re trying to influence. They tell you exactly what happened in a channel, but not whether the business is moving in the right direction.

    SEO tools are full of precise numbers. The challenge is that many of those numbers aren’t closely connected to business outcomes.

    Precise = exact

    Accurate = connected to business outcomes

    Leadership would rather have a roughly correct estimate of revenue impact than a perfectly precise count of clicks.

    I studied engineering in school. We spent a lot of time talking about precision, as in, how exact and repeatable your measurements are, down to the decimal point. In marketing, those precise metrics look like organic clicks, rankings, impressions, and click-through rate. You can get extremely precise numbers from tools like Google Search Console.

    The problem is they aren’t accurate. Accurate measurements tell you whether you’re moving closer to a business outcome that matters. Even if they’re not precise, accurate measurements are more useful because they point you toward the bullseye: business outcomes your leadership cares about.

    Knowing you got 40 organic clicks to a page is precise. It tells you almost nothing about whether you’re winning or losing in the market, or in my daughter’s case, whether she’s getting close to buying that Nintendo Switch.

    That’s a practical application of the Dollar Rule. When attribution is incomplete, translate the evidence you do have into business impact.

    Revenue beats attribution

    A rough number tied to revenue beats an exact number tied to channel metrics every time.

    When accurate attribution isn’t available, build your case from signals you can actually get your hands on and do the math from there.

    Fuzzy math doesn’t replace SEO metrics or attribution. It sits alongside them when a traffic-based attribution metric isn’t available.

    Here’s an example:

    One of our healthcare clients had a problem.

    Prospects were showing up to sales calls already convinced of things that weren’t true.

    The source was a competitor’s comparison page that was shaping buyer perceptions long before our client had a chance to tell their side of the story.

    We recommended publishing content to counter the narrative, but leadership wasn’t convinced there was enough evidence to respond. So we had to make the case.

    SEO tools estimated roughly 40 organic visits per month. Whether that number was right or wrong didn’t matter. It wasn’t measuring influence.

    So we looked at something more meaningful.

    We talked to our client’s salespeople. They told us that roughly 10% of their qualified B2B discovery calls included unprompted mentions of specific claims from the competitor’s page.

    It wasn’t a clean number we could do exact math with, but we couldn’t ignore it. It was real. It was happening on live sales calls.

    So we did fuzzy math:

    10% mention rate on discovery calls

    × 1,200 qualified B2B sales calls per year

    × $500,000 average contract value

    × 20% average win rate

    = $12 million in annualized revenue being influenced by the competitor’s narrative

    This wasn’t a forecast, and it wasn’t an attribution model. It was a directional estimate of the amount of pipeline influenced by the competitor’s messaging.

    We stopped talking about 40 clicks a month and started talking about $12 million in influenced pipeline.

    That’s the number we brought to leadership. Not impressions or citation shares. We brought them twelve million dollars of pipeline being influenced by a page our client was refusing to counter. That is a number a CFO understands.

    Lead with the value metrics

    If you walk into a GEO campaign review and lead with citation share going up or impressions growing, your CMO is going to yawn. Your CFO is going to wonder what language you’re speaking. In the worst case, they’re going to cut your budget because they don’t see the return.

    Here’s how we framed the situation for our client’s leadership:

    Leadership funds marketing campaigns with business impact. Translating the problem into dollars changes the conversation.

    The decision makers didn’t need certainty. They needed a credible story: leading indicators and momentum that build trust, all tied to dollars.

    Focus on what matters

    That’s what my eight-year-old intuitively understood at the lemonade stand. Her goal was never to count lemonade stand visitors. Her goal was to buy the Nintendo Switch.

    GEO has created a lot of anxiety because it broke the attribution models we relied on for years. But attribution was never the goal.

    The real goal: business growth.

    If you can connect your GEO efforts to revenue opportunity, revenue at risk, pipeline influence, or customer acquisition, you don’t need perfect certainty to make the case.

    You just need evidence that your GEO campaigns are moving the business in the right direction.

    Precise metrics tell you what happened. Relevant metrics tell you whether you’re winning.

    Before your next GEO report, take every metric on the page and ask one question:

    If this metric doubled tomorrow, would the business care?

    Then ask the follow-up:

    Can I translate this metric into revenue opportunity, revenue at risk, pipeline influence, or customer acquisition cost?

    If the answer is no, you’re probably reporting on channel impact, not business impact.

    Read more at Read More

    6 SEO priorities for AI shopping

    6 SEO priorities for AI shopping

    AI shopping is changing what SEO needs to optimize. Structured data, product feeds, entity signals, and crawlable content no longer just influence rankings. They increasingly determine whether AI systems can understand, evaluate, and recommend your products.

    The technical foundations haven’t changed. Their role has.

    As AI becomes another path to product discovery and purchasing, brands need to strengthen the information AI relies on to make decisions.

    AI shopping requires a broader view of brand knowledge infrastructure

    For ecommerce and service brands, brand knowledge infrastructure has historically meant maintaining a Google Business Profile, keeping NAP data consistent, and ensuring core pages are crawlable. 

    Those fundamentals still matter, but they’re now the floor, not the ceiling. Today, brand knowledge infrastructure has three layers.

    The static layer 

    Structured, agent-facing content, including clear return policies, shipping terms, and product differentiation in machine-readable formats. This information needs to be available in crawlable HTML, not hidden behind JavaScript or buried in PDFs. 

    Agents evaluating whether to recommend your business for a booking or purchase will look for this information the same way a person would check your FAQ page. The difference is they’ll stop looking the moment they can’t parse it.

    The real-time layer

    Live product and inventory data that AI systems rely on for pricing, availability, and recommendations. 

    Once a product is added, Universal Cart works in the background to monitor price drops, surface price history, and alert users when an item is back in stock, all powered by Gemini models. 

    Agents pulling from this system need product data that’s accurate, up to date, and complete at the attribute level. A product listing with a missing shipping estimate or stale inventory count is unhelpful and untrustworthy to the machine making the recommendation.

    The entity layer 

    The signals that establish your brand as a trusted, machine-readable entity across the web. That includes:

    • Consistent brand naming.
    • A verified Google Business Profile.
    • Organization schema with sameAs attributes pointing to authoritative sources.
    • Accurate Knowledge Graph data. 

    The entity markup that establishes your organization in Google’s Knowledge Graph is the highest-leverage schema implementation available in 2026. Its impact on AI Mode citations and Knowledge Panel accuracy is substantial and measurable, even though it doesn’t generate visible SERP features.

    Be the brand AI recommends.

    See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.

    See your AI visibility

    What matters most for AI shopping

    Traditional SEO asks whether people will click. AI shopping expands that to ask whether machines will trust your data enough to evaluate and recommend your products. These six priorities are where that trust is built or lost.

    1. Product data quality

    Complete, accurate, real-time product attributes, including titles, descriptions, pricing, inventory, and shipping information, are what AI systems evaluate first. The minimum data set for AI-ready product data includes:

    • A title.
    • Description.
    • Price.
    • Availability.
    • Global Trade Item Number (GTIN) or Manufacturer Part Number (MPN). 
    • Shipping speed and cost.
    • Return policy.
    • High-quality images. 

    Stale or incomplete data creates a poor user experience and can prevent your products from appearing in AI-generated comparisons and recommendations before a person ever has a chance to see them.

    Audit your product feeds the way you audit technical SEO: systematically, on a regular cadence, and with the assumption that every gap has a cost. 

    Prioritize price and inventory accuracy first because those are the attributes AI systems verify most aggressively against real-time signals.

    2. Machine-readable product information

    JSON-LD Product markup, availability signals, pricing data, and shipping details make up the machine-readable layer AI systems parse before anything else. 

    Implementation best practices haven’t fundamentally changed, but validation requirements have expanded to include AI Mode considerations that existing tools don’t directly measure. 

    The current validation workflow requires two checks: Google’s Rich Results Test for traditional eligibility and a manual review of AI Mode citation behavior for your key queries.

    Beyond Product schema, one of the most underused implementations is Organization schema with knowsAbout and sameAs properties. These establish your entity identity in Google’s Knowledge Graph and improve your chances of being selected as a cited source in AI Mode responses. 

    3. Structured content beyond schema

    Schema markup tells AI systems what your data is. Structured content determines how that data is presented on the page. AI systems evaluate both independently.

    In practice, this means three things:

    • Product specifications should appear in HTML tables, not prose paragraphs. An AI system assembling a comparison interface needs clean, scannable attribute rows, such as material, dimensions, compatibility, and weight, not a sentence that happens to contain those facts.
    • Policies that influence purchase decisions, including returns, shipping terms, and warranties, should be hosted in crawlable HTML at a stable, linkable URL, not in a JavaScript accordion, modal, or PDF.
    • If you publish comparison content, such as “our product vs. competitors,” present it as tabular data. AI systems building real-time product comparisons can extract information from structured tables more reliably than from narrative copy making the same claims.

    This is as much a content production and CMS decision as it is an SEO one, and it’s worth auditing separately from your schema implementation.

    Get the newsletter search marketers rely on.


    4. Real-time product feeds

    With Google’s Universal Cart and generative UI both pulling from live product data, the quality of your real-time feeds is no longer just a commerce operations problem. It’s an SEO problem. Feeds that update infrequently, omit key attributes, or contain stale inventory signals will underperform in AI-generated shopping experiences, much like slow page speed underperforms in traditional search.

    If you use a feed management platform, audit the refresh rate and attribute completeness of your Google Merchant Center data. If you manage feeds manually, establish a regular QA process at the SKU level, not just the category level. AI systems building comparison tables or product simulations from live data will skip products they can’t fully populate.

    5. AI-ready business information

    For service businesses, such as home repair, beauty, and pet care, prepare for the possibility that Google’s AI will call your business on a customer’s behalf. 

    That means your Google Business Profile services, hours, and pricing need to be accurate, complete, and consistent with what’s on your website. 

    Your phone staff also need to be ready to answer agent-style queries: specific, structured, criteria-driven questions about availability, pricing, and service scope.

    Assume the AI system will check three things before deciding whether to call your business or move on to a competitor: 

    • Your Google Business Profile services list.
    • Your website’s pricing and availability information.
    • Your reviews. 

    If any of these are incomplete or inconsistent, you risk being bypassed without ever knowing it.

    6. CRM and transactional data

    Consistent brand naming, structured product identifiers in transactional emails, and clean order confirmation data are signals AI systems can use to connect a user’s history to a current purchase decision. 

    Audit your transactional email stack with this question: If Google’s AI reviewed every order confirmation your brand has sent, could it accurately identify your products, pricing history, and brand identity? If not, those inconsistencies are creating friction in a recommendation process you can’t see.

    If AI can’t find you, customers won’t either.

    Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions.

    See your AI visibility

    The organic window is open, but it won’t stay that way

    AI shopping doesn’t replace traditional SEO. It changes what successful SEO looks like. The same technical foundations you’ve relied on for years, including structured data, product feeds, entity signals, and crawlable content, now do more than improve visibility. They help AI systems understand your business well enough to recommend it.

    Historically, incomplete or inconsistent data might have meant lower rankings or fewer rich results. In AI shopping, it can mean your products never make it into the comparison, recommendation, or transaction in the first place.

    That’s why the six priorities in this article aren’t new SEO tactics. They’re established best practices that now carry greater weight as AI becomes another way people discover and buy products.

    Brands that strengthen their brand knowledge infrastructure now will be better positioned as AI shopping matures and competition for visibility inevitably increases.

    Read more at Read More

    Why search ROAS depends on paid social more than you think

    Why paid search looks better when paid social is running

    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.

    Social creates demand, search captures it

    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.

    Brand search volume rises with social spend

    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.

    Non-brand conversion rates improve

    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.

    Auction dynamics follow

    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.

    See exactly how your competitors win.

    Uncover the keywords, ads, landing pages, and strategies driving your competitors’ paid search success—and find your next opportunity to outperform them.

    Analyze your competitors

    Why the reports get it backward

    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.

    The decay is delayed, which makes it worse

    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.

    Get the newsletter search marketers rely on.


    You don’t have to leave the search platforms to build the upper funnel

    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.

    How to actually measure this

    Three approaches, in ascending order of rigor.

    Brand search as a leading indicator

    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.

    Cohort search CVR by exposure

    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.

    Geo holdout tests

    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.

    Proper attribution tooling and marketing mix modeling

    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.

    Every click they win is a customer you lose.

    See where competitors are investing, which keywords drive their results, and how to capture more of the market.

    See who’s stealing your traffic

    What this means for budget decisions

    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.

    • Stop presenting search and social ROAS side by side as if they’re comparable. They measure different jobs.
    • Put brand search volume in every social performance review.
    • Before any major cut to social, run a geo holdout or watch search metrics for a full decay cycle afterward. Eight weeks minimum.
    • Treat search efficiency partly as an output of your upper funnel. Your search team’s great quarter might be last month’s social, YouTube, or Demand Gen spend paying out with a delay.

    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

    PPC / SEM Tips for Franchises: A Guide for Google Ads

    Key Takeaways

    • Franchise PPC campaigns must balance brand consistency with local customization to maximize ROI.
    • Geo-targeting improves conversion rates by refining ad reach at the city, state, or neighborhood level, reducing wasted spend.
    • A strong keyword strategy combines branded terms for brand protection and non-branded terms for customer acquisition.
    • Budgeting and bidding strategies impact cost efficiency, whether corporate manages the budget, franchisees control their own spend, or both share responsibility.
    • Tracking key metrics like click-through rate (CTR), conversion rates, and return on ad spend (ROAS) helps refine campaigns and increase returns.
    • AI-powered campaign types like Performance Max and AI Max for Search now drive franchise PPC performance, including placement inside AI Overviews, so campaign structure and ad copy quality matter more than ever.

    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.

    Understanding the Franchise PPC Model

    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.

    Corporate-Run PPC Campaigns

    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.

    Franchisee-Managed PPC Campaigns

    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.

    Hybrid Model

    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.

    Keyword Research for Franchise PPC

    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 vs. Non-Branded Keywords

    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.

    A Google search for “McDonald’s near me”

    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.

    A Google search for “affordable fast food in Austin”

    Competitor Bidding Strategy

    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. 

    Automating Keyword Optimization

    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.

    Structuring PPC Campaigns for Multi-Location Franchises

    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:

    1. Account-Level Structuring

    Franchise PPC accounts can be structured in one consolidated account managed by corporate or in separate accounts for each location:

    • Single corporate-managed account: This keeps control centralized and simplifies brand consistency, but can make local customization harder.
    • Individual franchisee accounts: These allow each location to tailor targeting, but can cause inconsistencies if not monitored closely.
    • Hybrid approach: A corporate account oversees strategy while franchisees manage localized campaigns within sub-accounts.

    2. Campaign-Level Structuring

    Inside each account, campaigns should have one of the following structures to avoid overlap and increase relevance:

    • Location-Based Campaigns: Each franchise location gets a dedicated campaign, making it easier to customize keywords, ads, and bids based on regional search trends.
    • Service-Based Campaigns: Useful for franchises that offer multiple services (e.g., cleaning, landscaping, tutoring). This ensures budget is distributed based on service demand.
    • Audience-Based Campaigns: Dividing campaigns based on customer behavior (e.g., new vs. returning customers) helps tailor messaging and bidding strategies.

    3. Ad Group Structuring for Multi-Location Targeting

    Within each campaign, ad groups should reflect specific keyword themes to improve relevance and quality scores:

    • Geo-Specific Ad Groups: If running a campaign for multiple locations, create ad groups that focus on specific cities, neighborhoods, or service areas.
    • Product/Service Ad Groups: Organizing by offerings helps franchises with diverse services or menu items.
    • Competitor Ad Groups: Bidding on competitor keywords? Keep those in a separate ad group to monitor performance without affecting broader campaigns.

    4. Budget & Bidding Considerations in Multi-Location Campaigns

    Even with the right structure, budget allocation determines success:

    • Corporate-Level Budgeting: A set monthly budget allocated per location based on search volume, competition, and past performance.
    • Performance-Based Budgeting: High-performing locations receive more ad spend, while low-performing areas get optimized for better efficiency.
    • Geo-Bidding Adjustments: Locations in highly competitive markets may need higher bids to remain visible, while locations in lower-competition areas can reduce bids to improve efficiency.

    Performance Max and AI Max for Franchise Campaigns

    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.

    Geo-Targeting and Localized Ads

    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.

    Geo-targeted McDonald’s ads.

    Source: https://www.hunchads.com/blog/ad-localization-complete-guide

    Types of Geo-Targeting for Franchise PPC

    • Radius Targeting: Serves ads to users within a set distance from a franchise location. Useful for local foot traffic and service-based franchises.
    • City-Specific Targeting: Targets users searching within a particular city. Ideal for franchises with multiple locations in a metro area.
    • State-Level Targeting: Broadens reach to an entire state. Best for franchises with fewer locations but strong statewide demand.

    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.

    Best Practices for Localized Ads

    • Include city or neighborhood names in ad headlines and descriptions.
    • Use call extensions with local phone numbers.
    • Customize landing pages with location-specific offers, hours, and testimonials.

    A franchise PPC campaign that combines precise geo-targeting with tailored ad content will always outperform a generic nationwide campaign.

    Budgeting & Bidding Strategies for Franchise PPC

    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.

    Bidding Strategies for Franchise PPC

    • Automated Bidding: Adjusts bids based on performance trends, optimizing cost per acquisition (CPA) and ROAS. Google deprecated Enhanced CPC for Search and Display campaigns in March 2025, so the Smart Bidding strategies most franchises rely on now are Target CPA, Target ROAS, Maximize Conversions, and Maximize Conversion Value. 
    • Competitor Bidding: Targets users searching for rival franchises, though this must be done strategically to avoid legal and brand reputation issues.
    • Seasonal Bidding Adjustments: Allocates more budget during peak seasons (e.g., holiday promotions, summer sales) to maximize conversions.
    • Geo-Bidding: Helps franchises spend more in competitive markets while reducing bids in areas with lower competition, improving cost efficiency.

    A smart budget allocation and bidding strategy helps franchises optimize ad spend, scale campaigns, and drive better ROI without unnecessary waste.

    Ad Copy & Landing Page Best Practices

    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:

    • Stay consistent: Adhere to brand voice while adding local relevance.
    • Use localized CTAs: Instead of “Visit Our Store,” try “Get Fresh Pizza in Dallas Today.”
    • Highlight unique value: Mention promotions, delivery options, or local perks.
    • Include location extensions: A physical address and phone number improve trust and CTR.
    • A/B test: Try out different headlines, CTAs, and layouts to identify what converts best in each location. One format note: Responsive Search Ads (RSAs) are now the only standard Search ad format available, since Google retired expanded text ads in 2022. RSAs let you supply up to 15 headlines and four descriptions, and Google’s AI rotates the best-performing combinations. Google also now offers AI-generated headline and description suggestions directly inside the RSA builder, which can speed up creative testing for franchises managing dozens of location-specific ads.

    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:

    • A headline that matches the ad copy for continuity.
    • Location-specific details (address, phone, hours, testimonials) for credibility.
    • Fast load speed (under three seconds) to prevent drop-offs.
    • Clear CTA (buy, book, call, get directions, etc.) that drives action.
    • Mobile-friendly design, since most franchise PPC traffic comes from mobile users.

    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.

    An ad from Cinnabon marketing their Refresher beverages.

    Source: https://www.webfx.com/industries/franchises/website-examples/

    Ads in AI Overviews: What Franchise Advertisers Need to Know

    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.

    Tracking & Measuring PPC Success for Franchises

    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:

    • CTR: Measures how compelling ads are. A low CTR means weak ad copy or irrelevant targeting.
    • Conversion Rate (CVR): Tracks how many clicks turn into leads or sales. A high CTR with a low CVR signals a problem with landing pages.
    • ROAS: Shows how much revenue ads generate compared to spend. A low ROAS means budget needs reallocation.
    • Cost Per Acquisition (CPA)Helps gauge efficiency in converting leads. Lower CPA = better ad performance.
    • Customer Lifetime Value (CLV): Helps franchises determine how much they can afford to spend on acquiring a customer and optimizing long-term profitability.

    Use these tools for tracking franchise PPC:

    • Google Analytics: Tracks user behavior after clicking ads.
    • Call Tracking Software: Monitors phone leads from PPC.
    • CRM Integration: Connects PPC data to sales and customer retention.

    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:

    • Refined geo-targeting to focus ads on high-intent local audiences, reducing wasted spend.
    • Customized ad copy for each location, incorporating city names and locally relevant promotions.
    • Adjusted keyword bidding by prioritizing high-converting terms while lowering spend on broad, expensive keywords.
    • Optimized landing pages to match ad messaging, streamlining the user experience and boosting conversions.

    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.

    Common PPC Mistakes Franchises Should Avoid

    Franchise PPC campaigns often fail due to avoidable mistakes. Here are the biggest issues and how to fix them:

    • Poor Budget Allocation: A one-size-fits-all budget doesn’t work for franchises. Some locations face higher competition and need more aggressive ad spend, while others may waste budget on low-converting keywords.
      • Fix: Use performance-based budget allocation. Analyze conversion rates and ROAS by location and shift funds to high-performing areas while cutting spend where PPC isn’t delivering results.
    • Ignoring Local Customization: Corporate-managed campaigns often miss local intent. A gym franchise running the same ad nationwide might work in some cities, but local markets have different customer expectations.
      • Fix: Allow location-specific ad copy while keeping branding consistent. Franchisees should have input on promotions, seasonal messaging, and localized offers to improve engagement.
    • Competing Against Other Franchisees: Franchisees bidding on the same keywords without structured coordination drives up costs and reduces ROI.
      • Fix: Use keyword exclusions and bid limits to prevent franchisees from competing against each other. Corporate can manage branded keywords while franchisees focus on non-branded, local intent keywords.
    • Skipping Negative Keywords: Without negative keywords, franchises waste ad spend on irrelevant traffic. A fast-food franchise bidding on “best burgers” might get clicks from job seekers looking for fast-food jobs.
      • Fix: Regularly update negative keyword lists to filter out job-related searches, competitors’ names, and non-converting terms.
    • Ignoring Performance Data: PPC isn’t set it and forget it. Many franchises keep spending on underperforming campaigns because they fail to track key metrics.
      • Fix: Use automated bidding and AI-driven optimizations to adjust bids in real time. Leverage Google Analytics, call tracking, and CRM integrations to connect PPC efforts to actual sales.
    • Over-Relying on AI Campaign Automation Without Geographic Controls: With Performance Max and AI Max, campaigns can serve ads outside location boundaries if targeting is set to “presence or interest” rather than “presence” only.
      • Fix: Audit geographic impression distribution monthly and implement location-based negative targeting where ads are appearing in unintended areas.

    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.

    FAQs

    Is Google Ads good for franchises?

    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.

    How do you use Google Ads for franchise marketing?

    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.

    How do you set up a PPC campaign for a franchise location?

    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.

    How do franchisees keep up with SEO and SEM algorithm changes?

    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.

    Conclusion

    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.

    Read more at Read More

    Best Practices for Writing SEO Title Tags

    Key Takeaways

    • Google rewrites 76 percent of title tags as of Q1 2025, often when titles are too long, keyword-stuffed, or misaligned with the page’s H1.
    • Title tags remain the second most important ranking factor in Google’s algorithm, and the HTML version still influences ranking even when Google rewrites the displayed title.
    • The sweet spot for title tag length is 51 to 60 characters, which carries the lowest rewrite rate across large-scale analyses.
    • In 2026, your title tag works in two places: driving clicks in traditional SERPs and acting as a citable label inside AI Overviews.
    • Audit your existing titles by impressions and CTR. High-impression, low-CTR pages are your fastest wins.

    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.

    What Is a Title Tag?

    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.”

    Google results for “kitchen installation services,” demonstrating IKEA’s title tag. 

    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.

    IKEA’s title tag, “Kitchen installation service: a recipe for success,” displayed in browser tab format. 

    Now that you have the definition down, the next question is how to write meta title tags for SEO that actually earn the click.

    How to Write an Effective Title Tag

    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. 

    A pie chart breaking down the weight each ranking signal carries in Google’s overall algorithm for 2025.

    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.

    1. Get the Length Right

    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 (…).

    A Google search result for Missy Empire’s Women’s Clothing page that shows the SEO title tag being cut off by the 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.

    Mangools SERP simulator homepage.

    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. 

    2. Front-Load Your Target Keyword

    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.

    Google search results for the focus keyword “buy red shirt.”

    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 ConsoleMoz’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.

    SEMrush’s Related Keywords report for “affordable hotels.”

    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.

     A list of keyword variants of “affordable hotels” in SEMrush. 

    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. 

    3. Show the Benefit or Value

    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.

     A Google result for Luxy Hair Extensions with the title tag “12 Ways to get Heatless Curls Fast” demonstrates how your title tag should highlight your product or service’s benefits to customers.

    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. 

     A Google result for the Dyson Airwrap sets itself apart by saying the product is customized for short and fine hair, while competitor entries don’t. 

    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. 

    4. Use Power Words, Modifiers, and CTAs

    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:

    • Free
    • New
    • Easy
    • Imagine
    • Instant

    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.

    A Google result for a Medium listicle, “29 reasons you’re reading this article,” shows us how odd numbers can be used in the SERPs.

    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:

     The Google result for CNBC’s “What does Google know about me?” article demonstrating the use of questions in the SERPs. 

    You can even take a more creative approach and answer part of the question in your title as a teaser, like copyguide.co does:

    A Google result for a copyguide.co article shows how partially answering a question is an SEO title tag best practice that can hook the reader. 

    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.

    Google AI Overview results for “why is Seattle called the Emerald City?”

    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.

    Android Developers’ Google result for their Studio & App tools uses the word “Download” in their title tag as a call-to-action.

    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.

    How Google Rewrites Title Tags (And How to Prevent It)

    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.”

    Google search result showing “Utilities and Electrical Services – Murphy Group” as the title tag.

    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.”

    The source code for the Murphy Group homepage confirms that the page 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. 

    Title Tags in the Age of AI Overviews

    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. 

    How to Implement a Title Tag

    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.

    Case 1: You Use WordPress

    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.

    A screenshot of the Yoast SEO WordPress plugin showing the SEO title, URL Slug, and Meta description. 

    Case 2: You Use A Custom Site Not Hosted On A CMS

    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.

    A screenshot showing HTML source code for a page’s header, where you would edit SEO title tag information.

    To create the title, use <title> tags. For example:

    A screenshot showing HTML source code for a page’s header with an SEO title tag implemented. The title says “<title>Your Website title – Your Company</title>.”

    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.

    Expert Tips for More Clickable Title Tags

    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.

    Use Your Brand Wisely

    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:

    Google entry for neilpatel.com demonstrating how you can use your SEO title tag to provide more information about your brand.

    For the rest of your pages, adding your brand name to the end of the title tag will suffice (if there’s room).

    Google entry for “How to Fix Leaky Pipes and Joints” from HowStuffWorks. The entry is an example of using your brand name at the end of a title tag to make it more clickable. 

    Consider Making Your H1 Different From The Title Tag

    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.”

    Google’s entry for Copyblogger’s homepage showing that 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.”

    A screenshot of Copyblogger’s homepage showing the page’s headline is longer and more descriptive than their Google entry, saying “The most important skill in business is the ability to move people with words.”

    Avoid Duplicate Tags

    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. 

     A screenshot of Google SERPs showing two entries for next.co.uk, both using the same “Buy Women’s Trainers Footwear Online” title tag.

    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.

    Add emojis

    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.

    A table showing emoticon Unicode and display across platforms.

    Once you’ve selected an emoji, added it in, and published your page, it should look something like this on SERPs.

    Mangools’ Google entry uses a rocket ship emoji in their title tag.

    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. 

    An example of an emoji in Search Engine Journal’s title tag showing up as code. 

    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 test your title tags

    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.

    How to Audit Your Existing Title Tags

    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.

    FAQs

    Are title tags still relevant for SEO?

    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.

    Do title tags help SEO?

    Yes. According to John Mueller, the HTML title tag still works for ranking purposes, even when Google rewrites the displayed version in the SERP.

    How important is the length of a title tag for SEO?

    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.

    Does a duplicate H1 and title tag hurt SEO?

    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. 

    Conclusion

    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.

    Read more at Read More

    The complete guide to building a website with AI: From prompt to publish

    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.

    Key Takeaways

    • AI website builders enable anyone to create professional websites quickly and easily without coding skills
    • These builders generate websites based on user prompts, allowing for customization and visual editing post-generation
    • The article outlines steps to successfully build a website with AI, including prerequisites, choosing a builder, and utilizing Bluehost’s AI tools
    • Key advantages of AI website builders include faster launches, smarter context awareness, and a focus on no-code solutions
    • To get the best results, focus on context in your prompts, maintain the human touch, and ensure accessibility in your website design

    What is an AI website builder?

    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.

    How does an AI website builder work?

    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:

    Step 1: Prompt and response

    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.

    Step 2: Automated generation

    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.

    Step 3: Visual editing

    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 in web designing: how it is changing the game

    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.

    No-code “vibe coding”

    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.

    Faster launches with less effort

    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.

    Smarter context awareness

    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.

    How to build a website with AI: Step by step

    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.

    Step 1: Get the prerequisites

    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:

    Domain name

    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.

    Web hosting

    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.

    SSL certificate

    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.

    Website builder

    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.

    Content management system (CMS)

    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.

    Step 2: Choosing an AI website builder

    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:

    Everything you need in one place

    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.

    Smarter prompts for better results

    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.

    Generate and edit images with AI

    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.

    Built with SEO in mind

    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.

    Security and support you can rely on

    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.

    Step 3: Getting started with Bluehost AI website builder

    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:

    3.1. Start your website

    step 1 free trial of bluehost AI website builder

    3.2. Customize your brand identity

    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.

    3.3. Create your Bluehost account

    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.

    3.4. Review and personalize your website

    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.

    Blueshost AI website builder editor

    3.5. Choose your domain and publish

    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.

    Best practices for building a website with AI

    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.

    Focus on context, not keywords

    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.

    Don’t forget the human touch

    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.

    Create something unique and verify everything

    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.

    Test and optimize regularly

    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

    Make your site accessible to everyone

    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

    Create valuable content

    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.

    Build smarter, launch faster

    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.

    Read more at Read More

    Hydration and SEO: How it works and why it matters

    Hydration and SEO- How it works and why it matters

    If your site runs on a framework like Next.js or Nuxt, hydration shapes how your pages become interactive, but it’s rarely explained in terms that matter to SEOs.

    It’s more approachable than it sounds. Here’s what hydration is, how it works, where it affects SEO (and where it doesn’t), and how different frameworks handle it.

    What is hydration?

    Hydration is the process of JavaScript running in your browser “taking over” the static HTML built on the server, turning it into a page you can actually interact with.

    Here’s the process:

    • The server builds complete, fully formed HTML and sends it to your browser. You see the content right away, but it isn’t interactive. The buttons don’t work yet, and nothing responds to clicks.
    • Hydration happens when the page’s framework (Next.js, Nuxt, SvelteKit, and others) finishes loading. It walks over the existing HTML, attaches event listeners, and reconnects the visible markup with the logic that makes it work.
    • After hydration, the page behaves like a normal interactive app.

    Server-rendered HTML paints quickly, which is great for first impressions and often for Largest Contentful Paint (LCP). As the timeline below shows, traditional hydration means the page isn’t actually usable until hydration finishes.

    Be the brand customers find first.

    Track, grow, and measure your visibility across Google, AI search, social, local, and every channel that influences buying decisions.

    Start your free trial

    Hydration adds interactivity, not content

    Hydration doesn’t add content to the page. The text, images, and layout already arrived from the server. It only adds behavior, wiring up the existing HTML so it can respond to you. Put simply, before hydration you can read the page, and after hydration you can use it.

    You can see this side by side below. The only difference between the two pages is whether the button responds.

    Don’t confuse hydration with the rendering pattern, which determines where and when the page is built. Server-side rendering (SSR), static site generation (SSG), and client-side rendering (CSR) each decide how much of the page arrives as finished HTML versus how much JavaScript builds later in the browser.

    Because hydration runs on server-rendered (SSR) and static (SSG) pages, the content is already present in the initial HTML. Google can index that content from the initial HTML instead of relying on the render step, which is more reliable than a client-rendered blank shell.

    When hydration becomes an SEO problem

    Most of the time, hydration isn’t directly an SEO issue. It only becomes one when something breaks, usually a mismatch. This is when the server’s HTML and what the framework builds in the browser don’t agree.

    A mismatch typically comes from one of a few sources:

    • Content rendered from a browser-only API that the server can’t access, like localStorage.
    • A value that changes between the server and client, such as new Date().
    • A third-party script or browser extension that alters the DOM before the framework hydrates it.
    • Invalid HTML that the browser rewrites in the background, producing a structure the framework didn’t expect.

    In these cases, hydration can’t reconcile the two versions, so the framework throws out the mismatched part and re-renders it. The exact process depends on the framework.

    Here, a <time> value from new Date() renders differently on the server and in the browser, forcing a re-render.

    That creates problems on three fronts. The re-render makes the page feel sluggish (INP) and shifts the layout (CLS). It can also leave the page outright broken because event listeners may fail to attach, causing buttons and forms to stop working.

    In severe cases, because Google may read the raw server HTML before rendering the JavaScript, it can index the version that’s about to be discarded, storing content visitors never actually see.

    Developers can resolve these issues by fixing the underlying causes of the mismatches. For example, they can use valid HTML so the browser doesn’t rewrite it behind the scenes.

    Get the newsletter search marketers rely on.


    How to spot hydration problems on a live site

    Hydration errors aren’t as explicit on a live site as they are during development. Start by checking the browser’s Developer Tools console for hydration or JavaScript warnings, then use these additional checks:

    • Watch the page load for content that shifts, flickers, or stays unresponsive.
    • Run important templates through Google Search Console’s URL Inspection tool to see how the page is rendered.
    • Crawl in JavaScript-rendering mode (Screaming Frog, Sitebulb) to compare rendered output against raw HTML at scale.

    How frameworks handle hydration

    Modern frameworks take different approaches to hydration, including ways to reduce or skip it, to balance performance, interactivity, and JavaScript execution.

    The most common approaches are:

    • Full hydration: The whole page hydrates in one go. It sounds simple, but it ships the most JavaScript and puts the most work on the main thread.
    • Partial hydration: Only the interactive bits (“islands”) hydrate. The static parts stay as plain HTML and never get touched. Astro’s islands architecture is built around this.
    • Progressive hydration: The page hydrates in pieces, either as sections scroll into view or on a schedule, instead of all at once. Angular’s incremental hydration works this way.

    Two newer approaches sidestep hydration:

    • React Server Components: Some components render entirely on the server and ship zero JavaScript, so there’s nothing to hydrate on the client.
    • Resumability: It skips hydration completely. The page picks up exactly where the server left off, with no components re-running on load. Qwik does this. It’s also the newest of these approaches and the least battle-tested.

    Here’s how they compare:

    Technique What hydrates JavaScript shipped Example
    Full hydration The entire page Most Next.js (Pages Router)
    Partial hydration (islands) Only interactive components Less Astro
    Progressive hydration The page, in pieces over time Same total, spread out Angular
    React Server Components Nothing (for server-only parts) Less Next.js (App Router)
    Resumability Nothing, hydration is skipped Least Qwik

    What this means for your site

    Most of the time, hydration isn’t an SEO problem. It only becomes one when the server’s HTML and the browser’s rendered version disagree.

    Newer frameworks leave less room for that to happen because each generation ships less JavaScript and does less work in the browser. Still, the mismatches that do surface matter, especially when search engines index a version of the page your visitors never see.

    Read more at Read More

    Used or cited: The two ways brands appear in AI search

    Used or cited: The two ways brands appear in AI search

    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.

    Collapse of the click economy

    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

    • “Search had a strong quarter with AI experiences driving usage, queries at an all-time high, and 19% revenue growth.”

    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.

    Be the brand AI recommends.

    See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.

    See your AI visibility

    Brand presence within AI engines: Usage vs. citation

    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.

    Why citations are only part of the AI visibility equation

    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.

    How to improve AI usage and citation for your brand

    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.

    Get the newsletter search marketers rely on.


    Should you bother with traditional search rankings?

    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.

    How AI Overview citations rank in the SERPs

    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.

    The growth of AI visibility and the fate of traditional SEO

    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.

    Read more at Read More

    Google merchant listings support sale duration and product category

    Google has updated its merchant listing structured data to support sale duration and product category property. This is to more align the merchant listing structured data support within Google Search with Google Merchant Center feed support.

    Sale duration. Google added a new section on “Sale duration” to the Merchant listing structured data help document. Google said, “this explains how to use the validFrom, validThrough, and priceValidUntil schema.org properties to set the effective range for sale prices, including best practices and examples for placement on either Offer or PriceSpecification nodes.” Google added this because it “aligns schema.org usage with the Merchant Center feed attribute sale_price_effective_date, providing clear instructions and best practices for merchants using structured data.”

    Here is that new section:

    Product category. Google also updated that document to include support for Product.category property.

    Google wrote it has updated the Merchant listing documentation to detail how the Product.category property can be used with both Text and CategoryCode types. “This aligns with the Google Merchant Center feed specifications for the product_type and google_product_category attributes,” Google added. Google also said this is to “help merchants provide both merchant-defined and Google-defined category information within their schema.org markup, enhancing product information for Google Search and Shopping.”

    Here is what was added:

    Why we care. If you maintain merchant listing structured data for Google, these additions may be useful. Product category support can help Google understand more about the products you are feeding it, which may help with showing that product for more relevant queries. Google’s sale duration support can let you plan your product sales more effectively and efficiently when updating your merchant listing structured data.

    Read more at Read More