The short answer

GEO (generative engine optimization) means: your content should appear as a source in AI answers from ChatGPT, Perplexity or Google AI Overviews. Technically, that's mostly good SEO. Google itself says there are no additional requirements for AI Overviews and AI Mode [1][2]. The difference lies elsewhere. You have to let in the other AI providers' crawlers, deliver first-hand experience and give the answer early in the text. The full overview with technology, local SEO and measurement is on the page SEO & GEO: the full overview.

What's the difference between SEO and GEO?

Classic SEO makes sure your page ranks high in the results on Google or Bing. The user sees your title and clicks. GEO targets a different moment. An AI reads several pages, summarises them and names some of them as sources. The user reads the answer first and only sometimes clicks through.

The fundamentals are the same. A page that isn't crawled and indexed ends up neither in the results nor in an AI answer. For its AI features Google names exactly two conditions: the page must be indexed and eligible to appear with a snippet [2]. What's mainly new is that there are more readers. ChatGPT, Perplexity and Claude send their own crawlers with their own rules.

AspectClassic SEOGEO
GoalA place in the list of resultsA mention as a source in the AI answer
Who reads your page?Googlebot, BingbotAdditionally OAI-SearchBot, PerplexityBot, Claude-SearchBot and others
SuccessRankings and clicksCitations and clicks from AI answers
MeasurementGoogle Search Console, Bing Webmaster ToolsThe same tools with their own AI reports, plus spot checks
FoundationCrawlability, content, technologyThe same, plus access for more crawlers

What does Google itself say about GEO?

In May 2026 Google published its own guide for the generative AI features of search [1]. The core statement is clear. Optimising for generative AI search means optimising for search. So it's still SEO.

You should know three points from the guide and the documentation on AI features [1][2]:

  • No special files. For Google you need no new machine-readable files, no AI text files and no special markup. That includes the llms.txt.
  • No special schema. Structured data isn't needed for the AI features. Google still recommends it for rich results, but advises against fixating on it.
  • No rewriting for machines. You don't have to break texts into small chunks ("chunking"). Nor do you have to write specifically for AI.

What Google names instead: content with first-hand experience or expertise that goes beyond general knowledge. Plus a clean technical structure and a good user experience on all devices. Local businesses should also keep their Google Business Profile up to date [1].

For you this means: anyone selling you "GEO hacks" for Google is mainly selling you effort. But that only applies to Google. The other providers have their own rules, and that's what the next section is about.

How do ChatGPT, Perplexity and Claude get your content?

Every major AI provider sends out its own crawlers. One distinction matters. Some crawlers collect content for training models, others fetch pages for search. You control both separately via robots.txt.

ProviderFor search and answersFor training
OpenAI (ChatGPT)OAI-SearchBot (ChatGPT search), ChatGPT-User (fetch at user request)GPTBot [3]
PerplexityPerplexityBot (search results), Perplexity-User (fetch at user request)According to Perplexity, not via these bots [4]
Anthropic (Claude)Claude-SearchBot, Claude-UserClaudeBot [5]
GoogleGooglebot (search including AI Overviews)Google-Extended controls training and grounding for Gemini, not Google Search [6]

That leads to a practical decision. If you want to appear as a source in ChatGPT answers, you mustn't block OAI-SearchBot. According to OpenAI it takes about 24 hours for changes to the robots.txt to take effect there [3]. Whether you allow GPTBot to train is a second, independent question. The same principle applies to Claude with Claude-SearchBot and ClaudeBot [5]. How to enter this in the robots.txt concretely is in the article AI crawlers and robots.txt.

A typical mistake from our project experience: a firewall or security plugin blocks "all bots" across the board. Then the site is missing from AI answers even though the robots.txt allows everything. So also check server and CDN settings. Perplexity explicitly recommends allowing its published IP ranges [4].

Bing is worth a look of its own. Since February 2026 Bing Webmaster Tools has shown how often your pages are cited in Microsoft Copilot and in Bing's AI summaries [7]. If you've ignored Bing so far, you should at least verify your website there.

What really helps to get cited in AI answers?

No provider publishes which factors trigger a citation. What's certain is in the documentation. The rest is project experience, and we label it as such.

Content that isn't interchangeable

In its guide Google distinguishes between interchangeable "commodity content" and content with value of its own [1]. An article that only summarises what's written everywhere has little reason to be cited. Your own prices, your own processes, real examples and honest limitations make the difference. Our article on the price range for websites is one such attempt: concrete ranges instead of "it depends".

The answer comes first

Google doesn't require chunking, and that's not what's meant here. What's meant is an old writing principle: the most important statement comes first. Readers who only skim benefit from it. Systems that extract individual passages benefit just as much. That's why this article starts with a short answer.

Real authors with a traceable background

Google explicitly recommends author information where readers expect it [8]. But according to Google, E-E-A-T (experience, expertise, authoritativeness, trust) isn't a single ranking factor [8]. So a name with a photo isn't a switch for citations. It helps readers trust you. And it fits what Google's systems are meant to reward.

Structured data, but without false expectations

Schema.org markup such as Article, FAQPage or BreadcrumbList describes your page for machines. It remains useful for rich results in Google Search. According to Google it's neither necessary nor a special lever for the AI features [1][2]. What matters is that the data matches the visible text [2]. We still use it on every page, because the effort is small.

Current details instead of new date stamps

Outdated prices or figures cost trust immediately. So check facts regularly and update them. A new date without a real change doesn't help. Google names exactly that as a warning sign for content made mainly for search engines [8].

Maintain local data

For a business in the Stuttgart region, the Google Business Profile counts. Google explicitly names the Business Profile and Merchant Center in its guide as a route into AI answers [1]. In our project with Batteriecenter Ludwigsburg we built up SEO and Google Shopping. Since then, ChatGPT and other AI assistants have also brought measurable visitors there. What belongs to the business profile, reviews and local pages is explained in the article Local SEO for SMEs.

What can you skip?

Lots of tricks circulate around GEO. According to Google, you can ignore these for Google Search [1]:

  • llms.txt and other "AI files". The llms.txt is a proposal from 2024 [9]. Google Search doesn't use it. We didn't find any reference to it in the crawler documentation of OpenAI, Perplexity and Anthropic either [3][4][5]. We still maintain one, because it hardly takes any effort. We don't expect visibility from it.
  • Breaking texts into chunks. According to Google there's no ideal page length and no need for mini-sections.
  • Rewriting texts specifically for AI. Write for people. That's Google's recommendation too.
  • Inauthentic mentions. According to Google, bought or seeded mentions on other sites help less than many think.
  • Structured data as a cure-all. It's a building block, not a lever specifically for AI.

How do you measure whether it works?

AI visibility can be measured, just less precisely than rankings. Three sources are enough to start:

  1. Google Search Console. In its guide Google refers to a separate report on performance in generative AI features [1]. There you see how users find you via these features.
  2. Bing Webmaster Tools. The "AI Performance" report shows citations in Copilot and in Bing [7]. According to Bing it's a sample for trends, not a complete log [10].
  3. Web analytics and spot checks. Visits from ChatGPT or Perplexity usually appear in your web analytics as a referrer. In addition, a fixed set of ten questions that you ask in ChatGPT and Perplexity once a month helps. Note whether and how your website is named.

How to read the reports in Search Console is shown in the article Google Search Console for SMEs.

Checklist: GEO-ready in 8 points

  • Search crawlers deliberately allowed: Googlebot, Bingbot, OAI-SearchBot, PerplexityBot, Claude-SearchBot. Robots.txt and firewall are checked.
  • Training crawlers (GPTBot, ClaudeBot, Google-Extended) deliberately allowed or blocked. That's a business decision, not a ranking lever.
  • Every important page is indexed and may appear with a snippet. No accidental "nosnippet" or "noindex".
  • The key statement is at the start of the article and at the start of every section.
  • Every specialist article has at least one element of its own: your own figure, your own example or an honest limitation.
  • A real author with name, photo and profile. External figures have a source and a date.
  • Load time in the green: Largest Contentful Paint under 2.5 seconds on mobile [11].
  • Google Business Profile maintained, Search Console and Bing Webmaster Tools connected.

What does this mean for your website?

GEO isn't a second project next to SEO. It's SEO with more readers. Anyone who builds cleanly, writes original content and lets the right crawlers in has done most of it. It's cheapest to think about this already in the concept phase of a new website. What has to be settled beforehand is in our website project checklist. How to find content that can be cited is shown in the article on blog and content.