How to Track Google AI Visibility

You can't optimize what you can't see. AI Overviews are now the highest-stakes surface in Google search, and they update on a cadence that classic rank trackers were never built for. This is the tracking model that works.

1. The metric stack

• Coverage — % of tracked prompts that surface an AI Overview at all.
• Citation rate — % of those Overviews that cite you.
• Citation share — your citation rate vs the top 3 competitors.
• Position in Overview — first cited, middle, last (earlier ≈ more downstream brand value).
• Source page — which of your URLs got pulled.
• Sentiment — favorable, neutral, mixed (extracted from the surrounding prose).
• Competitor diff — who else is cited; who replaced you.

2. Prompt monitoring strategy

Track 50–200 prompts per market. Cover four buckets:

• Branded — your name + variants. Sanity check.
• Category — "best dentist in Austin", "emergency plumber Phoenix".
• Service-specific — "Invisalign cost Austin", "tankless water heater install".
• Comparison — "Bright Dental vs Capitol Smiles", "X vs Y".

3. Sample KPI dashboard

4. Volatility — and how to read it

AI Overviews recompute frequently. Daily swings of 5–10% citation share are normal. Track week-over-week trend, not day-over-day. Set alerting on competitor citation diff above a threshold (e.g. ≥3 prompts gained or lost in a 7-day window).

5. Source-page attribution

Every citation maps to a URL. Tag each cited URL by:

• Page type (service, location, FAQ, blog, comparison).
• Schema present (LocalBusiness, FAQPage, Service, Review).
• Last meaningful update.
• Word count and answer-first structure presence.

Patterns emerge fast. The pages cited most consistently are usually the ones with FAQPage schema, answer-first formatting and last-updated within 90 days.

6. Reporting templates

Weekly internal

• Citation share trend (4-week sparkline)
• Top 5 prompts gained / lost
• Competitor diff alerts

Monthly leadership

• Citation share vs target
• Prompt coverage by service line
• Shipped changes → measured impact
• Pipeline of next 30-day work

7. Local business example

A med spa chain across 4 cities tracked 120 prompts. By correlating citation gains to shipped pages, they found that adding pricing FAQ schema to service pages drove 73% of their citation gains over 8 weeks. They ported the same template across all locations and doubled citation share in the next quarter.

8. What to ignore

• Daily volatility on individual prompts.
• Branded prompts (you'll always be cited).
• One-off spikes without a corresponding shipped change.

9. The Recometric tracking layer

Recometric runs the full stack — coverage, citation share, position, source-page attribution, competitor diff and alerting — automated per location and prompt cluster. The Recometric Score™ rolls everything into a single benchmark you can report against.