GEO vs SEO: What Is Actually Different, and Where Google Says Nothing Is

Google's ruling: on Google, AI optimization is SEO

Start with the most authoritative voice in the argument, because it is also the least convenient one for anyone selling GEO as a brand-new discipline. In guidance published in May 2026, Google said that from its Search perspective, optimizing for generative AI search is optimizing for the search experience, and so it is still SEO. Its AI features sit on the same core ranking and quality systems, and they ground answers by retrieving pages from the Search index and linking to them.

Google then listed what does not help its AI features. The list reads like the brochure of an agency that discovered the acronym last Tuesday.

• An llms.txt file. Google Search does not use it. Having one neither helps nor hurts.
• Special schema. Structured data is not required for AI features and there is no special markup to add, though Google still recommends structured data for rich results.
• Chunking. There is no need to chop content into tiny pieces so AI can understand it.
• Manufactured mentions. Chasing inauthentic mentions across the web is not as helpful as it might seem.
• Tools that claim inside knowledge. No third-party tool has access to Google's internal ranking or AI systems.

Google also stopped showing FAQ rich results entirely on May 7, 2026, which retired a favorite trick of the first GEO wave. FAQPage markup still describes a page; it just earns nothing visible in Google. Details are in structured data for AI and llms.txt.

Where that ruling stops: five engines Google does not speak for

Google's guidance covers Google. It says nothing about ChatGPT, Claude, Perplexity, Copilot or Siri, and none of them is documented as answering from Google's index. Each runs its own crawler under its own robots.txt token, and several lean on another company's search results. A site can rank well on Google and still be missing from all five, which is the whole premise of ranking on Google but not in AI.

That right-hand column is where GEO earns its name. Nothing in it is mysterious. It is the same craft aimed at five more audiences, each with its own doorman. The engine guides for ChatGPT, Microsoft Copilot, Perplexity, Claude and Siri go door by door.

Five jobs GEO adds to an ordinary SEO program

Four of the five are SEO habits pointed at a wider set of machines. Only the measurement is truly new, and it is new because the thing being measured is a paragraph rather than a list of ten links.

The mechanism: ten ranked links versus one written answer

Classic search ranks documents and lets the reader choose. A generative engine retrieves documents, reads them and writes a single answer, usually naming a few businesses and citing a handful of pages. Google calls part of its version query fan-out: AI Overviews and AI Mode may run several related searches across subtopics and data sources, then assemble a response with supporting links. Your page can be pulled in for a sub-question you never targeted, and quoted for one sentence while the rest goes unread.

That changes what winning means. Position three on a results page still gets seen. Third place in an answer that names two businesses does not exist, an argument we make at length in there is no number one in an AI answer. It also changes what a page should look like: facts stated plainly enough to be lifted intact, which is the subject of content AI can quote.

SEO gets you into the room. GEO decides whether the machine says your name out loud.

The research that coined the term, a 2023 paper by researchers at Princeton University and IIT Delhi, found that adding quotations, statistics and cited sources raised visibility in generative answers by up to 40%, while keyword stuffing did little or nothing. Read it carefully: most tests ran on a simulated engine built on GPT-3.5, results varied by subject, and the authors said the methods may need to change as engines evolve. It is evidence that clear, sourced writing helps, not a recipe for any engine in 2026.

Same craft, different scoreboard

The bottom row matters most when you are shopping. Anyone who promises a spot in an AI answer is promising something Bing's own guidelines say GEO cannot guarantee. What an honest program can do is raise the odds and show you the evidence, measured as AI share of voice and reported in a monthly GEO report that shows the answers themselves.

Finding your own gap between rankings and answers

Measurement is where the two disciplines split furthest. Clicks from AI Overviews and AI Mode are counted in Search Console under Web search, and since August 31, 2026 every site also has a Generative AI performance report, which shows impressions only. Bing's AI Performance report counts Copilot citations without clicks. GA4's AI Assistant channel, added May 13, 2026, counts visits from ChatGPT, Gemini, Copilot and others, but leaves AI Overviews and AI Mode inside Organic Search. None of them tells you what an answer said, so you have to ask.

1. 1

   Write ten customer questions

   Use the words a customer would say to an assistant, not the keywords you track: 'Who fixes foundation cracks in Schertz?' rather than 'foundation repair Schertz.'

2. 2

   Note your Google position for each

   Check where you rank for the matching keyword, and whether an AI Overview appears on that results page.

3. 3

   Put the questions to the engines

   Ask ChatGPT, Gemini, Perplexity, Copilot and Claude. Record who is named and which pages are cited. Prompt tracking covers how many runs make a fair sample.

4. 4

   Mark the gaps

   Where you rank on Google but are absent from answers, read the cited sources. They usually point to a listing, a directory or a mention you do not have.

5. 5

   Fix the sources, then ask again

   Correct the listing or earn the mention, wait a month, and rerun the same questions. Compare like with like.

The free AI visibility check does step three for one question at a time: it puts the question to ChatGPT and other engines through their APIs, live, and shows who each one named. API answers can differ a little from the consumer apps. For the visits that do arrive, see tracking AI traffic in GA4.

Documented, correlated and folklore

Most arguments about GEO mix three kinds of claim. Sorting them saves money.

Budget it as one program, not two invoices

Because most of GEO is SEO done with more engines in mind, paying two agencies to do it separately usually means paying twice for the same site audit. At DataCram, GEO is part of the monthly SEO program: no long contract, a defined scope, programs from $625 a month and most local businesses between $625 and $2,250, per our SEO pricing page. The tier is set after a free GEO audit, based on how competitive your questions are and how much the site, listings and content need. GEO pricing has the detail, and financing exists.

If the right column describes you, AI recommendation optimization is built for that gap. If you want the vocabulary first, start with the definition guide to GEO and the generative engine optimization section front page.