Example deliverable · analytics
The monthly analytics report
What we send every month: the share-of-model trend, the per-engine breakdown, your appearance and citation rates, and where the citations come from. Methodology is real and single-sourced: ChatGPT, Perplexity, Claude, Gemini, and Grok, adaptive per-engine sampling, metric-matched 95% CI (presence Wilson / share bootstrap). Client figures below are illustrative.
Walk through this report
A guided walkthrough of the monthly analytics report below — silent, captioned; illustrative data labelled in-film.
Share-of-model trend
Per-engine breakdown
Appearance & citation rate
Citation sources
Google AI surfaces — measured separately (floor, not a ceiling)
We report Google AI Overviews as its own surface, never blended into a cross-engine score — it only fires on some searches, and a click lands in your analytics as ordinary organic traffic, so we treat measured AI referral as a floor, not a ceiling.
What your content earned
What your content earned
Illustrative — example data, until your first measured month replaces it.
Citations won this period: 2 — the receipts:
| Engine | Prompt | Date | Piece | Receipt |
|---|---|---|---|---|
| Perplexity | best CI/CD for observability | 2026-06-18 | forgeline-ci-vs-github-actions | index cicd-platforms:2026-06 |
| ChatGPT | CI/CD with built-in tracing | 2026-06-22 | forgeline-observability-guide | audit results.json:forgeline.dev |
Google AI surfaces (reported separately, never summed): 1 appearance(s) of your pieces in AIO/AI-Mode answers.
Brand mentions without a citation: 3 (named in answers without your URL in the sources — a different, weaker signal than a citation).
AI-referred traffic: 214 visitors vs 1180 from classic search — in this illustrative sample, AI-referred visitors converted at a higher rate than classic search (referrer/user-agent heuristic — a floor, not a census).
Refresh wins (citation reclaimed): 1 piece(s) regained a citation after a substantive refresh — forgeline-ci-vs-github-actions.
Attribution limits, plainly: AI-citation attribution is a heuristic floor, not a census — we match each new citation to the piece that most plausibly earned it, and say so.
Take the data
Every report ships with its data as CSV + JSON, source-labelled (measured vs your own numbers). See the full work portfolio or get your own free teardown.