How to check whether AI answers cite you as often as Google ranks you, one ask
Two dashboards, two vocabularies, one nagging question. The joined read, SERP share beside answer-engine citations, is the ask a single-source tool can't answer.
Before, the dashboard ritual
8 steps · 2 dashboards · 1 mental join
- Open the Competitive dashboard
- Segment: Overall Market
- Dates: last 4 weeks
- Read market share vs rivals
- Open the AI Visibility dashboard
- Segment: AI Tracker
- Read citation rate
- Reconcile the two by hand
After, one question
We hold search share, do AI answers cite us to match, or is there a gap?
Paste it into Claude, ChatGPT or Cursor with Quattr MCP connected. No tool names, no field names, routing is the assistant's job.
The answer
We hold search share, do AI answers cite us to match, or is there a gap?
Analysis plan, every step, resolved for you
- Routed to the governed workflow
ai-vs-traditional-gap - Scope resolved before filtering
segment: Overall Market · Jul 5 to Aug 1, 2026 - 2 analyses queued in parallel
market_share_overview · ai_visibility_overview - Honesty gates armed
scope echo · freshness
One source can't answer this, they join
- Market shareCTR-modeled search share
- AI visibilityanswer-engine citations
Strong on the SERP, under-cited in AI answers, a Referenced-rung gap.
- Search market share
- 7.1% ▲ +0.2 pt CTR-modeled, of tracked demand
- Citation rate
- 9.4% ▼ −1.1 pt answer engines, tracked prompts, a different surface from the SERP
Jul 5 to Aug 1, 2026organicsegment: Overall Market
⚠ Observationalas of Aug 1, 2026IllustrativeOpen in Quattr ↗
Two surfaces, never conflated, the card names which one each number belongs to.
A simulated conversation on fictional data, composed from this workflow's scenario by the same director that renders every demo on this site, scope, freshness and the ⚠ Observational marker are attached automatically, not written by hand.