From the model's memory
The model answers from what it learned in training, without searching. It cites no links and changes only with new model versions: the brand's mentions built up over the years are what count.
Guide · Sources of AI answers
When an AI engine searches the web to answer, it turns the question into a few searches, takes results from an index, picks the passages that answer best and cites the pages it took them from. To be a source you have to be in the right index, readable by the right bot and have the passage that answers.
Each engine searches a different index: ChatGPT also relies on Bing, Copilot on Bing, Gemini and AI Overviews on Google, Perplexity on its own. The choice happens passage by passage: the page that answers the sub-question clearly, is up to date when it matters and agrees with other sources wins. When the engine does not search, it answers from what it learned in training, and there what counts is the brand's mentions across the web over time.
An AI engine answers in two ways, and different things matter for each.
The model answers from what it learned in training, without searching. It cites no links and changes only with new model versions: the brand's mentions built up over the years are what count.
The engine searches in real time, reads a few pages and cites the ones it takes information from. This is called grounding, and it is the path a page can count on as soon as it is indexed.
The bot to allow and the place to look at data change from engine to engine.
| Engine | Where it searches | Bot to allow | Where to see the data |
|---|---|---|---|
| ChatGPT | Third-party search providers, Bing among them, and OpenAI's crawler | OAI-SearchBot, and ChatGPT-User for pages opened on request | Visits from chatgpt.com in analytics |
| Microsoft Copilot | Bing's index | Bingbot | The AI Performance report in Bing Webmaster Tools |
| Perplexity | Its own index | PerplexityBot | Visits from perplexity.ai in analytics |
| Gemini | Google Search | Googlebot | Visits from gemini.google.com in analytics |
| AI Overviews and AI Mode | The Google Search index | Googlebot | Search Console, together with web search |
No engine publishes the formula. These are the factors the engines themselves describe and that show up when you repeat the same questions.
The bot must be able to read the page: no block in robots.txt, text present in the HTML rather than loaded later, reasonable response times.
The engine picks a piece of a page, not the whole page. The paragraph that answers the sub-question in plain words, without detours, wins.
For prices, versions, regulations and rankings engines prefer up-to-date sources. A visible and truthful last-updated date helps.
A fact confirmed by several independent sites is easier to reuse than one that appears only on the brand's own site.
The signals that matter for search, such as links and domain reputation, are still a filter: an unknown source on a sensitive topic is rarely picked.
Five steps, from the most technical to what happens off the site.
In robots.txt allow OAI-SearchBot, PerplexityBot, Bingbot and Googlebot. Blocking the bots that collect data to train models, such as GPTBot, is a separate choice and does not remove the site from search.
ChatGPT and Copilot also draw on Bing. Verify the site in Bing Webmaster Tools and submit the sitemap; IndexNow gets new pages there right away.
For every important question, a two-sentence answer at the start of a section, with names, figures and conditions spelled out.
Reviews, trade comparisons, forums and press are the sources engines cross-check for comparison and recommendation questions.
Ask the engines your customers' questions, note the cited sources and work on those: sometimes it pays to get cited by a third-party page instead of writing a new one.