The PingMyBrand data study
The State of AI Citations: what engines actually cite.
Citation-volume reports are the standard linkable asset in this category — Otterly.ai and others publish aggregate citation counts across their tracked brands. We don't have their scale yet, and we won't round a number up to look like we do. Every figure below comes from our own live scan pipeline — the same one behind every free report on this site — recomputed on every page load from real, stored scans only.
Corpus building
We have zero real, live-engine scans on record right now.
This page is rebuilt from the same live scan store as every report on the site — so when the corpus is thin, it says so, instead of showing a placeholder number. Run a free scan below (yours or any brand's) and it becomes part of the real dataset this page reports on, immediately.
Per engine
How often each engine names — and cites — the brand it's asked about
“Cited” here is a strict, first-party measurement: the engine named the brand AND referenced its own domain in the answer — not a broad web-citation count. Averages are computed only over brands where that engine returned real (non-simulated) data this run.
No engine has returned live data across the tracked corpus yet. This table fills in as real scans accumulate — never with a placeholder rate.
Methodology
Where every number on this page comes from
- The corpus. Every domain PingMyBrand has ever scanned — free reports, paid tracked brands, and our own house scan of pingmybrand.com (see /proof) — read from the same live store that powers the app.
- Real scans only. A run counts only if at least one AI engine returned live (non-simulated) data. Fully-mocked runs — no engine API key configured, or every probe failed — are excluded from every rate and source count, and disclosed separately as “simulated scans excluded” above.
- One scan per brand. Each tracked domain contributes its single latest real scan, so a brand re-scanned weekly can't outweigh a brand scanned once — the same convention as our State of AI Visibility study.
- Mention rate is the share of unprompted buyer questions where the engine named the brand of its own accord (branded questions that already name the brand are excluded). Citation rateis the share of unprompted questions where the engine both mentioned the brand AND referenced the brand's own domain in the answer.
- Source domains. Pulled from the engines' own returned citation URLs (never scraped or guessed from prose), aggregated per domain across every real run, ranked by total citations.
Last computed: July 15, 2026. This page is server-rendered on every request from the live store, so it is never stale beyond the store itself.
See the score side of this data: The State of AI Visibility study · How we compare to a citation-monitoring tool: PingMyBrand vs Otterly.ai
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Every free scan runs the same live probe against ChatGPT, Claude, Gemini, and Perplexity, and its result folds straight into this page. Free, no signup.