AI citation tracking (Perplexity / ChatGPT / Gemini)

AI answer engines are now sending real referral traffic. A single citation by Perplexity for a high-intent query is worth more than a typical position-3 Google blue link, because the user has already seen your brand *in the answer itself*. Without measurement you're flying blind on a channel that's growing 10× year over year.

From your organization → Citation tracking → Add query. Each query has:

• Prompt — the literal question to ask the engine (e.g. "what is llms.txt and which sites use it?")
• Engines — Perplexity / ChatGPT / Gemini (pick one or more)
• Schedule — daily, weekly, or manual
• Brand domain — your own domain so we can detect "owned" citations vs competitors

Quotas vary by plan: Pro = 5 queries × daily, Agency = 25 × daily, Enterprise = custom.

For each query × engine combination:

• All cited URLs — the engine's footnote list
• Position of your domain — first / mid / not cited
• Snippet — the verbatim text the engine pulled from your page (key for tuning content)
• Competitor URLs — every other domain cited, for share-of-voice analysis

The citations dashboard plots:

• Your domain's share of total citations across all tracked queries over time
• A per-competitor leaderboard
• New citations (your URL cited this run, not last run) and lost citations
• Query-level drill-down — which queries are healthy, which are slipping

Each query × engine × run costs LLM tokens (we use the engine's API where available, scraping where not). Crawlmind absorbs the cost inside your plan's AI token quota — usage shows in /orgs/<id>/usage. If you blow the quota, additional runs queue until the next monthly reset (no surprise charges).