An SEO audit checks whether classic search engines like Google can crawl, index, and rank your site. An AI visibility checker tests whether AI assistants like ChatGPT, Perplexity, and Google AI Overviews really name your business when asked. Same goal, different surface, different signals.
If you have already paid for an SEO audit and now keep hearing about AI visibility checks, the question is fair. Are you being asked to buy the same thing twice?
The short answer is no. An SEO audit grades your site against the rules search engines use to crawl, index, and rank pages. An AI visibility checker watches a different surface entirely. It asks AI assistants the kinds of questions your customers ask, then records whether your business shows up in the answer.
I know this can feel like one more bill on a stack of bills. The reality is that Google and ChatGPT now decide who gets recommended in two different ways. The audit you ran in 2024 did not test the second one. This article walks you through what each check looks at, where they overlap, and how to think about which one you need next.
Why both checks exist now
For two decades, "search" meant typing a few words into Google. The job was to help Google read your page and rank it above rivals. SEO audits were built for that world.
That world is changing. Pew Research found that 34 per cent of US adults have now used ChatGPT, roughly double the share in 2023. Adoption is highest under age 30, where 58 per cent have used it. People are asking AI assistants for restaurant picks, accountants, plumbers, and consultants the same way they used to type "best [something] near me" into a search bar.
Google itself shipped AI Overviews on top of regular results. Google's own docs on AI features confirm the same SEO basics apply, but add a new layer. Pages now compete to be quoted inside an AI summary, not just listed below it.
Princeton researchers studied this shift in their 2024 paper Generative Engine Optimization, shown at KDD 2024. They tested nine signals across 10,000 queries. The top signals, like cited sources, quotations, and statistics, can lift visibility in generative engines by 30 to 40 per cent. Those signals overlap with classic SEO but are not the same set.
So the reason there are two audits is simple. Two systems now decide who gets recommended. One ranks links. The other writes a paragraph that might mention you by name. A good SEO audit will not catch problems on the second surface, because it was never built to look there.
What an SEO audit measures
An SEO audit is a health check on the parts of your site that Google needs in order to crawl, index, and rank your pages.
Per Google Search Central, the standard checks fall into a handful of buckets:
- Crawlability. Can Googlebot reach every page you care about? This means looking at robots.txt, internal linking, and sitemap coverage.
- Indexing. Once Google reaches a page, can it keep it in the index? This means checking for noindex tags, soft 404 errors, and duplicate content.
- Core Web Vitals. Page speed, layout stability, and time to interaction. Slow pages get demoted.
- Mobile usability. Whether the site works on a phone.
- HTTPS and security. Insecure sites are demoted.
- Structured data. Schema.org markup that tells Google what each page is about.
- On-page basics. Title tags, meta descriptions, heading hierarchy, image alt text.
- Backlinks and reputation. Whether other credible sites link to yours.
The output is a list of technical and editorial fixes. Together they raise the chance Google ranks your page in the top ten for a related query.
What an SEO audit does not test is whether anyone is searching for that query in Google in the first place. If a third of your potential customers now ask ChatGPT instead, the audit you ran 18 months ago covers half the territory.
This is the part that stings, especially when the audit cost real money and the score came back green. The score is still right. It is just measuring a smaller picture than it used to.
What an AI visibility checker measures
An AI visibility checker tests a different question. Not "can Google rank me." It asks, "when a real customer asks an AI assistant for a pick in my field, does my name show up?"
The mechanics look like this. The checker sends a small set of natural-language questions to several AI engines. ChatGPT, Perplexity, Google AI Overviews, sometimes Claude, Gemini, Grok, and DeepSeek. Each engine generates an answer. The checker reads the answer, looks for your business name, and records whether you appear, where you appear, and what the AI said about you.
The questions are not keywords. They are full sentences that match how customers really ask.
"Who is the best wedding photographer in Geelong?" "What is a reliable bookkeeper for a small consulting firm?" "Which physiotherapy clinic in Wagga is open Saturdays?"
The output is a different kind of report. Instead of crawl errors and meta-tag fixes, you get:
- A list of questions where your business was named.
- A list of questions where competitors were named instead.
- The exact wording the AI used about each business.
- A pattern of which engines cite you and which do not.
OpenAI's docs on ChatGPT search note that ChatGPT shows inline citations from web search as clickable sources. An AI checker can pull those URLs from each engine. The result reads more like a media-monitoring report than a tech audit.
The work to fix gaps is not the same work as fixing crawl errors. Different signals matter, different pages need updates, and different evidence needs to be on the page.
The core difference, side by side
Most of the confusion clears up when you put the two side by side.
| Aspect | SEO audit | AI visibility checker | |---|---|---| | What it tests | Whether Google can crawl, index, and rank your pages | Whether AI assistants name your business when asked | | Method | Crawlers, log files, page data | Live questions sent to AI engines | | Surface | Search results page (the blue links) | AI-generated answers, summaries, and chat replies | | Common findings | Crawl errors, slow pages, missing tags | "Mentioned 0 of 9 times," competitors named instead | | Common fixes | Technical, schema, content, backlinks | Citable evidence, authority signals, structured data, mentions | | Engines covered | Google, sometimes Bing | ChatGPT, Perplexity, Google AI Overviews, often more | | Cost driver | Site size and complexity | Number of queries times number of engines tested |
The two reports answer different questions. They have some overlap in the fixes, especially around structured data and content quality, but they are not interchangeable.
A simple way to decide what you need
Before you decide, ask one question. Do my customers ask AI assistants for picks in my field?
If you are not sure, run a small test. Open ChatGPT, Perplexity, and Google AI Overviews in a private window. Type the same question a buyer would type. See what happens.
If the AI names you, your AI visibility is healthy. If it does not, you have a gap, and now you have a way to measure how big it is.
Then check your classic search position. Search your top three buyer keywords on Google. If you rank in the top ten, your SEO is doing its job. If you do not, that is a different gap.
The two gaps tell you which audit to run first. Most small businesses have an SEO score in the green and an AI visibility score near zero. That signals where to invest, because the SEO work is already paying off and the AI side is the larger swing per hour right now.
Two short scenarios that make this concrete
A bookkeeper in regional Australia paid for an SEO audit last year. The report came back clean. Site speed was good. Schema was in place. The site ranked second on Google for "bookkeeper [town name]". Clients still came in. Then a colleague asked ChatGPT, "who is a good bookkeeper for a small consulting firm in [region]?" Three names came up. None were hers. Her SEO was working. Her AI visibility was zero. The audit she paid for could not have caught this, because it never asked.
A wellness clinic owner ran a free AI visibility scan. The clinic was named in two of nine answers across three engines, and the wording was off. ChatGPT called the clinic an "alternative therapy provider," which was not how the owner thought of the business. The fix was a content update on the home page, plus schema markup that clarified the services. Six weeks later, mentions improved. The SEO audit she had on file was still useful. It just had nothing to say about the wording AI used.
These are the kinds of things only the second check surfaces. Most founders are surprised by what the AI report says, even when they know their site is technically clean.
Where the signals overlap (and where they do not)
There is good news here. The two audits share more than the labels suggest.
Princeton's GEO research, published at the KDD 2024 conference, tested nine different signals across 10,000 queries. The signals that lifted AI citation visibility the most were:
- Cited sources in the body of the page, where you link to credible references.
- Quotation addition, where you quote experts or studies directly.
- Statistics addition, where you back claims with numbers.
Each of those lifts visibility by 30 to 40 per cent in AI engines. They also help classic SEO. Google's E-E-A-T framework rewards experience, expertise, authority, and trust. Citations and statistics support all four.
Schema.org structured data is another shared signal. Google has shown that LocalBusiness and Organization schema power local panels and Maps. The same schema helps AI engines work out what your business is, where it works, and what it offers. They read schema when they form answers.
What does not overlap:
- Crawl errors and broken links matter for SEO. They are largely invisible to AI engines, which read the live web at query time.
- Backlink profiles matter heavily for SEO. AI engines weight third-party mentions, but the patterns are different. Being quoted on a Reddit thread or named in a podcast transcript can matter more than a do-follow link.
- Page-load speed is a Google ranking factor. AI engines care less about milliseconds and more about whether the answer to the customer's question is plainly on the page.
The honest summary is this. Good SEO is necessary but no longer sufficient. AI visibility takes a different layer of work on top.
Closing summary
An SEO audit and an AI visibility checker are not the same product. An SEO audit grades your site against the rules Google uses to crawl, index, and rank web pages. An AI visibility checker grades a different surface, the one where AI assistants write answers with your business named or missing.
Both checks point at the same goal. Customers finding you. They just measure different paths to that goal, and the work to fix each one is different.
If you have not tested AI visibility yet, you are operating on incomplete information. Tools in this category include HubSpot's AEO Grader, Otterly, SE Ranking's AI tracker, and Get Recommended. Choose by which engines and signals you want covered.
Sources
- Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, et al. GEO: Generative Engine Optimization (KDD 2024). Princeton University and IIT Delhi.
- Google Search Central. SEO Starter Guide.
- Google Search Central. AI Features and Your Website.
- OpenAI. ChatGPT Search documentation.
- Schema.org. Organization and LocalBusiness.
- Pew Research Center. ChatGPT use among Americans roughly doubled since 2023.