AI search analytics · preview
Share of voice across ChatGPT, Perplexity, Gemini, and more
Track how AI search engines answer your category keywords — which brands they cite, how often, and in what position. This preview runs on demo data; connecting your Supabase project switches it to live.
Showing demo data. Apply
supabase/migrations/0001_analytics.sql and create a project + keywords to switch to live data.Project
Citedit demo
citedit.com
Latest share of voice · week of 2026-04-20
| Brand | Share of voice | Avg position | Mentions |
|---|---|---|---|
CiteditYou | 45% | 1.8 | 45 |
LLMrefs | 39% | 1.2 | 40 |
Profound | 12% | 2.5 | 10 |
Athena | 9% | 3.1 | 10 |
Citedit trend — share of voice over 8 weeks
Keywords tracked
answer engine optimization agency
en-US · US
generative engine optimization
en-US · US
how to get cited by chatgpt
en-US · US
How this works
- Add keywords you want to track. Each keyword generates a set of fan-out prompts that mirror how buyers really phrase questions to AI assistants.
- A scheduled worker runs those prompts against an engine adapter per surface. The out-of-the-box adapter is deterministic and local — swap in live adapters per vendor as ToS allows.
- We detect your brand and competitors in each answer, store citations, and roll the data up to weekly share-of-voice, position, and citation counts per engine.
- The dashboard reads the rollups; CSV export and API access keep the data portable for downstream BI tools.