AI search is finding information through generative AI engines (ChatGPT, Perplexity, Microsoft Copilot, Gemini, Claude, and Google’s own AI Overviews and AI Mode) that read the sources for you, write the answer, and cite a few of them. Classic search hands you ten blue links and lets you choose; AI search does the reading and returns a conclusion. For a website, that changes the prize. Ranking still matters, because most of these engines retrieve from a search index, and the new win is being one of the sources the answer names.
AI Search
AI search is information discovery through generative engines that synthesize a direct answer from multiple sources and present it to the user, with links to some of those sources.
How AI search works
Most AI search engines combine two parts: a large language model that writes, and a retrieval step that searches the web or an index at the moment you ask. The retrieval step is why ordinary SEO still counts. Copilot grounds its answers in Bing’s index, Google says its AI features are rooted in its core ranking systems, and ChatGPT search uses third-party search providers alongside OpenAI’s own crawler.
When an assistant answers from its training data alone, with no retrieval, it cannot cite your current page at all. What it knows about your category then comes from everything it read about you, which is why brand mentions on other sites carry weight.
| Dimension | Traditional search | AI search |
|---|---|---|
| Result | Ranked list of links | Synthesized written answer |
| User action | Click and evaluate | Read the answer, maybe click a source |
| Visibility unit | Ranking position | Citation or mention in the answer |
| Powered by | Crawl, index, rank | LLMs plus retrieval from an index |
| Optimization | SEO | SEO plus AEO and GEO |
The surfaces of AI search
“AI search” is a category of products, and each one picks sources a little differently:
- Google AI Overviews and AI Mode: generative answers inside Google Search, the highest-volume surface (Google reported 2 billion monthly users for AI Overviews in July 2025). See AI Overviews.
- Microsoft Copilot and Bing: answers grounded in Bing’s index. Bing Webmaster Tools reports how often its AI answers cite your pages; our Bing guide covers the setup.
- AI assistants: ChatGPT, Gemini and Claude, which search the web when a question needs it and are increasingly used for research and recommendations.
- Answer engines: Perplexity and similar products, built answer-first with visible citations.
What they share: they all read sources, and they all decide which ones to trust and cite. That decision is what you optimize for.
Why AI search matters now
Two things are true at once. Google Search still sends most sites far more visits than every assistant combined. On Prawomat, our own legal-tech site, ChatGPT, Perplexity, Gemini and Copilot together sent 25 visits in three weeks out of 9,356 pageviews, while Bing’s AI answers cited the site 872 times a day. Apps often strip the referrer, so treat that as a floor.
The second truth: the answers shape what buyers hear before they visit anyone. Where Google shows an AI Overview, people click fewer results (Pew Research measured 8% of visits with a click on a traditional result, against 15% without one). The practical response is to keep doing real SEO, because it feeds the retrieval step, and add the work that earns citations.
How to win visibility in AI search
The signals are consistent across surfaces:
- Be readable. An engine can only cite a page it can fetch. Your robots.txt decides which AI crawlers get in (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot); paste it into our free AI-Bot Access Checker to see which ones you block. An llms.txt file is optional documentation, and Google Search does not use it.
- Be quotable. Direct answers near the top of each section, original data, clean structure and structured data where it fits.
- Be trusted. Real expertise and E-E-A-T; models cite sources they have reason to trust.
- Be present. Brand mentions in the sources models read: content seeding, trade press and the communities your buyers use.
Measure it with several partial sources: Bing’s AI performance report, AI Overview citations in a rank tracker, AI referral sessions in analytics, and a fixed panel of prompts re-run each month. Our generative engine optimization guide walks through all of it step by step.
When AI search becomes a business problem
If your customers find you on a map, or your demand is mostly “buy” and “book” searches, AI search can wait. Fix your Google basics first.
It becomes a business problem when buyers research your category with an assistant before they talk to anyone. The symptoms: prospects mention that ChatGPT suggested a competitor; the answers for “best [your category]” name three rivals and describe you wrongly or not at all; Bing’s AI performance report shows almost no citations for your site.
On an AI SEO engagement we run that prompt panel, map which sources the answers cite today, and rebuild the pages they should be citing. On Symptomatik, our own health platform, citations in Bing’s AI answers went from 102 a day in June to 2,073 a day in mid-September 2026.
Frequently Asked Questions
What is AI search?
AI search is finding information through generative AI engines, such as ChatGPT, Perplexity, Copilot and Google’s AI Overviews, that read several sources, write an answer, and cite a few of them. Users often get what they need without clicking through to any single result.
How do AI search engines choose their sources?
Most run a search before they answer, then write the answer from the pages they retrieve and link the ones that back it up. Copilot retrieves from Bing, Google’s AI features from Google’s index, and ChatGPT search from third-party providers plus its own crawler. Pages that rank, answer plainly and come from a trusted brand get picked more often.
Is AI search replacing Google?
No. Google still sends most sites far more traffic than all AI assistants together, and its own AI Overviews and AI Mode are part of AI search. AI search is a growing additional channel. The right strategy is to keep investing in SEO, which also feeds the retrieval step, and add optimization for AI citations on top.
How do I get visibility in AI search?
Let the AI crawlers fetch your pages, answer questions directly with original data and clean structure, show real expertise, and earn mentions in the sources models read. Then measure citations across Bing, Google and the assistants against a baseline, so you know what worked.
What’s the difference between AEO and GEO in AI search?
Answer engine optimization (AEO) targets being lifted into a direct answer, like a featured snippet or an AI Overview. Generative engine optimization (GEO) targets being cited when a model writes an answer, like ChatGPT writing a recommendation. Both are part of optimizing for AI search, and most brands need both alongside traditional SEO.