1. Current AI interpretation
A plain-language summary of how the company, products, services, and market position are being interpreted from public website evidence.
Human-reviewed AI interpretation assessment
See what AI systems believe about your company.
SemanticRisk examines how your public website is being interpreted: the claims AI systems extract, where descriptions differ, what may be missing or overstated, and which public evidence appears to be shaping the result.
US$299
What you receive
A practical report, not another unexplained score.
2. Extracted claims
Examples of concrete claims AI systems identify, with the public wording or page evidence associated with those claims.
3. Model agreement and disagreement
Where evaluated systems align, differ in scope or attribution, omit important detail, or express different levels of confidence.
4. Crawl and evidence conditions
Relevant access, capture, structure, structured-data, or page-hierarchy observations that may weaken interpretation quality.
5. Prioritized recommendations
Specific content and technical changes ranked by likely usefulness, clarity, and practical effort.
6. Review call
A 30-minute call to walk through the findings, answer questions, and identify the highest-priority next actions.
How it works
Three simple steps.
1
Order the review
Provide the company name, primary domain, and any products, competitors, or AI descriptions you want examined.
2
We run and review the evidence
SemanticRisk evaluates public content, extracted claims, model differences, benchmark context, and capture conditions. A human reviews the output before delivery.
3
Receive the report and call
You receive the written review within three business days, followed by a 30-minute findings call.
Example finding
Small wording differences can change the claim.
Observed difference: one model may describe a company as providing a broad “AI security platform,” while another extracts only a narrower product capability.
Review question: is the difference caused by the company’s actual positioning, a missing page-level claim, ambiguous attribution, or uneven evidence capture?
Recommendation: make the core company, product, audience, and capability claims explicit on a stable, crawlable page and reinforce them with consistent supporting evidence.
The review reports observed model interpretations and public evidence. It does not independently verify every company claim or guarantee control over downstream AI answers.
AI Interpretation Review
Turn an unclear AI description into an evidence-backed action plan.
US$299 for one company or domain, including the written review and a 30-minute findings call.