Research lab
Each benchmark is a live scanned dataset — not opinions. Published with methodology, confidence bands, false-positive policy, and raw CSV for independent analysis.
6 planned benchmark datasets
Advertisers, brand safety teams, and content marketplaces use this report to set AI-content policy thresholds and benchmark fraud risk.
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AI companies, SEOs, and publishers use this report to understand ecosystem crawler access norms and identify opportunity gaps.
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Platforms building agentic commerce, AI procurement, and retrieval-augmented workflows need to know which domains are ready to be accessed by AI agents.
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Marketplaces, consumer protection teams, and retail brands use this to calibrate review fraud thresholds and vendor vetting policy.
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CISOs, risk managers, and compliance teams need a public baseline for industry PQC migration urgency before NIST migration deadlines.
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Marketing teams, brand managers, and SEOs use this to understand which content and schema choices predict AI search citation.
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Methodology
We believe benchmark integrity requires transparent methodology, published false-positive policy, and reproducible probe logic. These are the four pillars:
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Domains are sampled from Majestic/Tranco rank lists, sector-specific seed lists, and community submissions. Each report publishes inclusion criteria, sampling date, and stratification method.
02
Every domain is scanned with the same AIClicks API used in the product — live DNS, TLS, header, robots, schema, and AI-text probes. No cached or estimated data.
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Module scores, thresholds, confidence bands, and false-positive policy are published alongside each dataset. Scores are probabilistic, not verdicts.
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Each report ships as Dataset JSON-LD, downloadable CSV, interactive charts, a comparison page, and an RSS item for citation tracking.
Enterprise customers get raw benchmark data via the /api/v1 endpoint, including per-domain scores, evidence bundles, and module-level signals.
View API docs →Each published report ships with a downloadable CSV and Dataset schema.org block for independent analysis, academic citation, and downstream integrations.
Browse data →Academics, journalists, and non-profits can request early access to benchmark data for independent verification and published analysis.
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