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Documentation Index

Fetch the complete documentation index at: https://docs.getcitable.com/llms.txt

Use this file to discover all available pages before exploring further.

When a user asks ChatGPT “what’s the best tool for X?”, the assistant doesn’t generate the answer from thin air. It pulls from a much smaller working set of sources it has come to trust on that topic. The brands in that set get cited. The rest don’t exist for that query. Understanding what gets a brand into that set is the entire job of an AEO/GEO strategy.

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What AI engines actually do

Modern AI assistants combine two things:
  1. A language model that knows how to write fluent, opinionated answers.
  2. A retrieval layer that searches the live web, an internal index, or both, then feeds the most relevant sources to the model.
The retrieval layer is where you compete. The same query produces different sources for different engines — ChatGPT favors one signal, Perplexity another, Gemini a third. Your goal is to be a strong source across all of them.

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What makes a brand citable

Not every page on the web has a chance. The brands AI assistants cite tend to share a few traits:
  • Topical depth. Multiple pages on the same theme, not just a homepage paragraph.
  • Clear structure. FAQs, summaries, comparison tables, author bylines — anything that lets a model extract a clean answer.
  • Third-party mentions. Comparison posts, Reddit threads, podcasts, newsletters — the AI engine learns who’s “in the conversation” partly from where else they get mentioned.
  • Freshness. Recently updated pages outrank stale ones for fast-moving topics.
  • A point of view. Pages that take a position get cited; pages that hedge everything get skipped.

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Why scans matter

You can’t tell which of those levers is hurting you by squinting at your own site. You have to ask the AI directly: run real prompts a real buyer would type, see what the AI says, see who it cites instead of you. That’s what Citable’s AI visibility scan does. The result is a per-prompt, per-engine, per-competitor view of where you stand.

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Why one engine isn’t enough

The AI search landscape is multi-engine. A buyer’s first question might go to ChatGPT, the follow-up to Perplexity, the third to a Gemini-powered Google answer. Brands optimized for one engine and absent from another lose a third of the funnel. Citable scans all five major engines — ChatGPT, Perplexity, Gemini, Claude, and Grok — so you see your full footprint, not a slice.

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Why citation rate alone isn’t enough

A high citation rate is good. A high citation rate where you’re ranked #1 with positive sentiment is much better. Citable measures the four metrics that matter — citation, mention, rank, and sentiment — because all four move differently and need different fixes. The next page walks through what each metric means in plain English.