A Sample AI Visibility Audit Report

What this sample shows

This sample shows three of the pages inside every SimplyAI AI Visibility Audit: the executive summary (the overall GEO score and five-pillar breakdown), what AI answers today (real-format buyer questions, whether the business is named, and who is named instead), and the full scorecard (every pillar's score with representative findings). A real engagement runs to several more pages — a citation analysis of which domains AI already trusts, a prioritized fix list, and a 90-day remediation plan — scoped in the Audit engagement.

Why the business in this sample is fictional

The business in this sample, "Sample Aesthetic Clinic Ltd," is a fictional composite, not a disguised real client. Every audit SimplyAI runs is confidential to the practice it was built for — its prompt results, its competitor standing, and its raw data are never published, resold, or reused as marketing collateral for someone else. The competitor names visible in this sample are masked as "Competitor Practice A/B/C/D" for the same reason the homepage masks real competitor names elsewhere: showing the shape of a finding without exposing a name that was never asked to be part of a sales page.

What a real engagement includes beyond this sample

A real AI Visibility Audit tests 50–100 buyer-intent questions per vertical, in English and Chinese, across the assistants a market can actually reach — not the two questions shown here for illustration. It reports a client's Hong Kong surface and overseas/inbound surface separately rather than one blended figure, names every domain AI already cites for that category, and ends with a prioritized fix list and a 90-day remediation plan scoped to the client's own findings. The full prompt bank and the scoring rubric's per-check weighting are the product of the engagement itself, so neither is published on this page or anywhere else on simplyai.work.

The five pillars behind every SimplyAI GEO score

Every SimplyAI AI Visibility Audit scores a business against the same five pillars, shown in the scorecard above:

• Crawl access — whether the AI systems that write answers can actually read the site: robots.txt rules for AI crawlers, an llms.txt file, a sitemap, and response time.
• Structured data — whether the site's schema.org markup tells machines who the business is: Organization/LocalBusiness schema, the correct industry-specific type, and FAQPage markup.
• Answer-readiness — whether the site's own content already looks like an answer an assistant can quote: genuine question-and-answer content, clean heading structure, and claims backed by cited sources.
• Entity & citation footprint — whether AI mentions the business at all today, and whether its own site is ever cited directly rather than only third-party directories.
• Competitive position — the business's share of AI recommendations against the specific competitors AI already names in its category, in a market where two or three names occupy most answers.