Not another score.
A decision system.
This worked example follows one coherent business problem from crawl evidence to a 30-day implementation plan. Every number is illustrative, but every field, calculation and recommendation represents the practical detail a Professional report is designed to provide.
FICTIONAL CLIENT · ILLUSTRATIVE DATA · REAL REPORT STRUCTUREFictional European publisher of commercial-solar benchmarks for finance, property and procurement teams.
Increase qualified visibility when buyers compare payback periods, ownership models, incentives and PPA pricing.
72 timestamped observations, one 128-URL crawl and a comparison against the sources returned in those answers.
The site already contains differentiated data. Its immediate problem is access, source attribution and answer packaging—not a lack of subject matter.
Across the 24-question buyer set, the domain earns 19 of 72 possible provider citations. The largest recoverable gap is the “payback by country” cluster: only 2 of 18 responses cite HelioForge even though its benchmark contains the relevant figures.
Country-level payback data is trapped in a PDF table
The benchmark page describes the methodology, but the country figures exist only inside a 42-page PDF. Providers repeatedly return IEA PVPS, EU Commission and SolarPower Europe pages with equivalent figures exposed in HTML.
Decision: publish one indexable country comparison hubPrimary evidence is separated from 66 material claims
Claims name a percentage or payback period, but the publisher, study year and source link sit in a distant bibliography. A reader—or retrieval system—cannot reliably connect each claim to its provenance.
Decision: repair existing evidence before adding volumeFive already-linked resources are blocked from retrieval
Seven research assets return 403. Five have external backlinks and two support high-intent query clusters, making access restoration more valuable than producing replacement articles.
Decision: send an exact URL remediation list to Web OpsRecommendation order: unblock evidence → expose the country dataset in HTML → attach sources to claims → refresh dated incentive pages → rerun the same 72 observations. Do not commission a broad “solar trends” content programme until these assets are repaired.
You do not leave with a diagnosis. You leave with the artefacts.
The implementation fix kit that ends every full report: a ready-to-adapt llms.txt, the robots.txt AI-crawler policy, JSON-LD drafted from what the page really contains, and answer capsules written to be quoted — copied to the clipboard, or exported as Markdown and JSON.
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Every full report ends in the same place: the fix kit. A ready-to-adapt llms.txt — the content map AI agents actually read. A robots.txt policy that says exactly which AI crawlers get in.
JSON-LD structured data, drafted from what the page really contains. Answer capsules: short, self-contained passages written to be quoted by an engine. Copy. Paste. Adapt. Ship it.
Or take the whole report as Markdown or JSON. You do not leave with a diagnosis. You leave with the artefacts.
The free report identifies the strongest gap and first action. Professional adds the complete URL inventory, query evidence, LLM-by-LLM interpretation, assigned backlog, success checks and repeat measurement.