Free tool, not actively developed; no accounts. AEO Platform no longer sells subscriptions.

Use case

AI Citation Tracking

Find out which pages AI engines actually cite as sources in their responses.

Quick answer
AI engines cite specific web pages as sources when generating responses, but most organisations have no visibility into which pages are cited, by which engines, or for which queries. Without citation data, you cannot measure the return on your content in the AI layer or improve the pages that drive your AI visibility.
Expected outcomes

What you can achieve

Citation map
of your cited pages by engine and prompt
Quality split
between primary and incidental citations
Competitor view
of which sources engines prefer
Referral data
from AI engine domains in your analytics
How it works

How to approach ai citation tracking

1

Build your citation sheet

Run your priority prompts in Perplexity, AI Overviews, Copilot, and AI Mode. Record every cited URL, the prompt, the engine, and the date.

2

Analyse citation quality

Mark which citations are high-value (primary source for commercial prompts) and which are incidental (one of many references). Note what your cited pages have in common.

3

Compare with competitors

List the competitor and third-party pages that AI engines cite for your prompts. Identify topics where others are the preferred source.

4

Improve for citation growth

Improve existing cited pages, create content for prompts where nothing of yours is cited, and strengthen authority signals. Check technical access with the free AI-readiness check.

5

Review trends and referrals

Repeat the prompt run each month. Use your analytics to filter referral traffic from AI engine domains and see which pages receive visits.

The solution

How to approach it

You can build a citation picture with a manual workflow plus your analytics. Pick 20 to 50 prompts that matter for your business. Run them in the engines that show sources (Perplexity, AI Overviews, Copilot, AI Mode) and record every cited URL. Mark which citations point to your domain, which point to competitors, and which point to third-party sites.

Group the results by page. For each of your pages, note how many prompts cite it and in which engines. Mark whether the page is the primary source or one of many references. Pages cited as the main source for commercial prompts are your high-value citation pages. Look at what they have in common: structure, freshness, clear factual claims, and structured data.

Use web analytics for the traffic side. Filter referral traffic for AI engine domains, such as chatgpt.com, perplexity.ai, and copilot.microsoft.com, and see which landing pages receive the visits. Referrer data is incomplete, because some engines strip it, so treat it as a lower bound.

Repeat the review monthly. Generic AI visibility monitoring tools can run a prompt list on a schedule if the manual work becomes too heavy. If a page is never cited, start with access: the free AEO Platform AI-readiness check shows technical signals such as AI crawler access, sitemap, and structured data. It does not read live AI answers or citations.

Example queries

Queries to monitor

“How do I get my site cited by AI engines?”
“Which websites do AI search engines cite most?”
“How to track AI engine citations”
“Do AI engines cite my website?”
“How to improve AI citation rate”
FAQ

AI Citation Tracking FAQ

Free AI-readiness check

Can AI crawlers read and cite your site?

Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.