Brand data and GEO audit
One brand, one product category, priority markets. An evidence-based baseline and a prioritised implementation plan with owners and costs.
Accessible · Accurate · Consistent · Observed
Brands now appear through their own site, product feeds, retailers, search engines and AI answers. Those sources contradict each other more often than anyone expects, and almost nobody can show which pages AI services are actually reading.
The four questions
They are ordered deliberately. There is no point monitoring how a brand appears in AI answers before checking whether the underlying pages are reachable and the facts on them are right.
Can search and AI systems reach the right pages, feeds and data?
Crawler controls, robots rules, bot categories and CDN configuration decide what is reachable. Most are set once and never tested against what the brand actually intends.
Do the facts they expose match your source of truth?
Prices, availability, specifications, claims and identifiers drift between the catalogue, the website and the feed. The wrong number is worse than a missing one.
Do your site, feeds, retailers and AI answers agree?
The same product is described several ways across your own pages, your retailers and your syndication partners. AI systems reconcile those contradictions for you, and not always in your favour.
Which AI services actually retrieved the pages?
Edge telemetry records identified retrieval requests: which service, which page, when, and whether access was allowed. Prompt monitoring separately records what AI answers say and cite.
The market already contains prompt-monitoring dashboards, crawler controls, SEO platforms, feed managers and structured-data validators. Most brands are already paying for several of them.
What is missing is the join: the facts you believe are authoritative, the pages and feeds exposing them, the rules controlling AI access, evidence of which services actually retrieve the pages, what appears in AI answers, and the work needed to correct the difference.
Most customers do not need another platform. They need the tools they already own configured correctly, tested against their own policy, and operated as one system. We build software only where we repeatedly find a missing connection.
How we work
The audit is the paid entry point and produces a costed backlog. Implementation puts the data and tooling into a usable state and installs the measurement. Monitoring is the recurring service.
One brand, one product category, priority markets. An evidence-based baseline and a prioritised implementation plan with owners and costs.
We fix what the audit found: crawler policy, structured data, feeds, identifiers, analytics, and the tools you already own but nobody has configured as one system.
Accessibility changes, feed errors, data discrepancies, AI retrieval at your edge, and configuration drift — with alerts, a discrepancy queue and a maintained backlog.
What we can show you
We operate the conformant Content Telemetry ingestion service atapi.openattribution.org under contract from OpenAttribution. It is live, and an end-to-end canary runs against it every fifteen minutes.
Content Telemetry is governed by SPUR and published openly. We co-authored it and operate one implementation of it. We do not own it, and our service is never a required destination.
Edge telemetry shows that an identified service requested a page, when, and whether access was allowed. It does not by itself prove the content was used for training, included in an answer, or caused a sale. We record what crossed, not what influenced.
A fixed-scope review of one brand, product category and set of priority markets. You get an evidence-based baseline and a prioritised plan with owners and costs — not a report that sits on a shelf.