AI Search Engine Optimization

AI search engine optimization, usually shortened to AI SEO, is the application of search engine optimization to AI search engines: products such as ChatGPT search, Google AI Mode and AI Overviews, Microsoft Copilot, Perplexity and Claude's web search that retrieve web pages and reply with a generated answer. The label is popular with SEO teams and agencies because it presents the work as SEO for new engines, using the familiar toolkit of crawling, indexing, relevance and authority.

'AI SEO' is ambiguous. The same phrase is used for doing SEO with AI tools, which this glossary covers under AI SEO automation and agentic SEO. In the visibility sense, AI SEO pursues the same goal as GEO, with more attention to the plumbing of each engine and less to brand reputation and answer framing.

That plumbing is where AI SEO differs most from Google-only SEO. Each engine has its own crawlers and rules:

• ChatGPT search depends on OAI-SearchBot. OpenAI's crawler documentation says sites that opt out of it will not be shown in ChatGPT search answers, apart from navigational links, and that robots.txt changes take about 24 hours to apply. GPTBot, the training crawler, is a separate setting, and ChatGPT-User handles user-initiated visits to which robots.txt may not apply.
• Claude uses Claude-SearchBot to index content for search and Claude-User for fetches a user requests, while ClaudeBot collects training data. Anthropic says blocking the first two can reduce a site's visibility in Claude's answers.
• Google AI Overviews and AI Mode use Googlebot and the regular Search index. The Google-Extended token controls Gemini training and grounding in Gemini Apps, not Search.
• Copilot and Bing's AI summaries build on Bing's index, so Bingbot access and Bing Webmaster Tools data matter.

The separation between citation crawlers and training crawlers is the most common source of mistakes: a site that blocks 'all AI bots' to avoid training often removes itself from AI search results too.

Beyond access, AI SEO deals with retrieval mechanics. AI engines usually rewrite a prompt into several searches (query fan-out) and read selected passages rather than whole pages. Content that only appears after client-side scripts run, inside images or behind tabs is easy to miss, so JavaScript rendering problems can hurt more than in Google, which says it can process JavaScript content as long as it is not blocked. Fast responses, clean status codes and sitemaps that list current URLs help crawlers that visit less often than Googlebot.

Measurement starts at the server. AI crawler logs show which AI crawlers fetch which pages and with what status codes, which explains many citation gaps before any content work begins. The next layer is citations and mentions per engine, tracked with repeated prompts, plus the first-party reports from Bing Webmaster Tools (citations in Copilot) and Google Search Console (impressions in AI Overviews and AI Mode). Our guide to seeing which AI bots crawl your site covers the log setup.