
Ad placements overview
Brand-level Ad placements tab with KPIs, advertiser rankings, sample listings, and a query breakdown for ChatGPT, Google AI Mode, and Copilot.
Ad Analytics measures sponsored placements in AI shopping answers: your ad appearances, share of voice, competing advertisers, and the creatives that actually get surfaced across ChatGPT, Google AI Mode, and Copilot.
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The Ad placements tab aggregates shopping items and sponsored ads detected across ChatGPT, Google AI Mode, and Copilot. Track Your Ad Appearances, Runs with Ads, Own Share of Voice, advertisers observed, and which queries produce ads — then open listings and advertiser drill-downs for proof.
ChatGPT, Google AI Mode, and Copilot surface sponsored advertiser placements alongside organic picks. Rankscale captures those ad cards for your tracked queries so paid placements are no longer a blind spot.
See Your Ad Appearances, Runs with Ads, and Own Share of Voice next to an advertiser leaderboard ranked by observed appearances — keyed by destination domain.
Know which search terms produce ads, how many advertisers show up, and how appearance rates move over time when you drill into an advertiser or query.
Inspect sample listings and recurring ad items (title, creative, destination, average position), then open recent runs to QA what was actually shown.
Brand-level Ad placements, advertiser detail, and per-search-term Ads Analysis — the same surfaces captured in the screenshots below.

Brand-level Ad placements tab with KPIs, advertiser rankings, sample listings, and a query breakdown for ChatGPT, Google AI Mode, and Copilot.

Drill into a competitor advertiser for appearances over time, engine distribution, query distribution, and query-level appearance rates.

Per-query Ads Analysis with ads captured, detection rate, providers, destinations, and recurring ad items ranked by repeat appearances and average position.
See Your Ad Appearances, Runs with Ads, Own Share of Voice, Advertisers observed, and Queries with Ads in one KPI row so paid AI visibility is measurable, not anecdotal.
Rank advertisers by observed appearances, then open any domain for appearance trends, engine mix, query distribution, and per-query rates.
Inspect sponsored listings with branding and destination, then jump to recent runs or a search-term Ads Analysis view for recurring items, average position, and provider overview.
Turn sponsored AI placements into the same class of reporting you already expect from organic shopping visibility: KPIs, competitor drill-downs, and creative-level evidence.
Served-but-not-shown placements are noted for information and never counted toward appearance KPIs, so share of voice stays tied to ads that surfaced.
Ad placements lives next to Overview, Merchant Cockpit, and Product Cockpit with the same engines, topics, tags, queries, and date-range filters.
Exportable listings, provider overviews, and run links give SEM, brand, and GEO stakeholders proof of who won the sponsored slot.
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Common questions about measuring sponsored ads across ChatGPT, Google AI Mode, and Copilot in Rankscale.
Ad Analytics measures sponsored placements surfaced by AI shopping and GUI engines for your tracked queries. You get brand-level KPIs (your ad appearances, runs with ads, own share of voice, advertisers, queries with ads), an advertiser leaderboard, sample ad listings with creatives, and a query breakdown that links back to original executions.
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