Ad Analytics

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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Ad Analytics
Ad placements

Sponsored placements you can measure like organic visibility

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.

Sponsored ads in AI shopping answers

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.

Own share of voice vs advertisers

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.

Query breakdown and trends

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.

Creatives and run evidence

Inspect sample listings and recurring ad items (title, creative, destination, average position), then open recent runs to QA what was actually shown.

Ad placements across ChatGPT, Google AI Mode, and Copilot
Own Share of Voice and advertiser leaderboards
Served-but-not-shown notes — never counted in KPIs
Listings and Ads Analysis link back to source runs
IN THE PRODUCT

Three views teams use every week

Brand-level Ad placements, advertiser detail, and per-search-term Ads Analysis — the same surfaces captured in the screenshots below.

Rankscale Ad Analytics Ad placements dashboard with share of voice KPIs, advertiser leaderboard, and sponsored ad listings

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.

Rankscale Ad Analytics advertiser detail with appearances over time, engine distribution, and query breakdown

Advertiser detail

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

Rankscale search-term Ads Analysis with provider overview and recurring sponsored ad items

Search-term Ads Analysis

Per-query Ads Analysis with ads captured, detection rate, providers, destinations, and recurring ad items ranked by repeat appearances and average position.

KEY CAPABILITIES
01

Own share of voice for ads

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.

02

Advertiser leaderboard + drill-down

Rank advertisers by observed appearances, then open any domain for appearance trends, engine mix, query distribution, and per-query rates.

03

Listings, creatives, and run evidence

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.

WHY CHOOSE THIS

Why use Ad Analytics?

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.

Count what was actually shown

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.

Surfaced-only KPIs

Same Shopping & Ads workflow

Ad placements lives next to Overview, Merchant Cockpit, and Product Cockpit with the same engines, topics, tags, queries, and date-range filters.

Shared filters

Evidence for paid and brand teams

Exportable listings, provider overviews, and run links give SEM, brand, and GEO stakeholders proof of who won the sponsored slot.

Stakeholder-ready

Rankscale is a powerful way to understand how your brand is showing up - and why.

M
Martina Orlandi

SEO & CRO Manager

Related features

Explore more ways to monitor and improve your AI visibility.

FAQ

Frequently Asked Questions

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.

Still have questions? Contact our team