What happens when the platform runs your audit.
Anonymised before/after platform citation data from VISIBLD clients. Real scores. Real timelines. Real professions.
Full case study · Musio, from Cinesamples
54 to 68 in seventeen days.
Here is exactly what the audit found in each area, what we changed, and how each score moved on the re-audit.
Full audit
Score 54. Six AI platforms tested with real buyer questions.
Walkthrough and plan
Findings reviewed with the team. Fixes ranked by impact.
Fixes shipped
Schema, pages, FAQs, comparisons and profiles.
Re-audit
Score 68. Same engine, same questions.
Distribution
35 → 58 (+23)What the audit found
Only 4 verified profiles linked back to the site
Missing or thin listings on directories AI reads
No presence in the forums where buyers compare tools
What we fixed
Linked verified profiles grew from 4 to 11
Directory and review listings set up and made consistent
Entity
66 → 82 (+16)What the audit found
Company facts described differently across the web
Musio and Cinesamples relationship unclear to AI
What we fixed
One consistent set of company facts published everywhere
Clear parent-brand links so AI connects the two names
Content
50 → 65 (+15)What the audit found
Only 4% of headings phrased the way buyers ask
Just 1 FAQ page
No comparison pages, so AI quoted competitors instead
What we fixed
Question-shaped headings raised to 27%
FAQ pages grew from 1 to 5
2 comparison pages written
Technical
78 → 90 (+12)What the audit found
Schema gaps on key product pages
Some pages hard for AI crawlers to read
What we fixed
Tested schema code added to every gap
Crawler access checked and cleaned up
Authority
44 → 49 (+5)What the audit found
Awards and press not linked to live sources
Customer proof hard for AI to verify
What we fixed
Existing proof linked to live, checkable sources
What every audit checks
About 70 checks. Five areas. Six AI platforms.
Technical
Can AI read your site? Crawler access, schema code, page speed, how pages render.
Content
Can AI lift a clear answer? Question-shaped headings, FAQs, comparisons, answer-first pages.
Entity
Does AI know who you are? Consistent company facts, Wikidata, brand links.
Distribution
Are you where AI looks? Directories, reviews, forums, social profiles.
Authority
Does AI trust you? Press, awards, customer proof tied to live sources.
Live AI answers
What do ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI say when buyers ask? Who gets named instead of you?
The first VISIBLD platform case studies publish at the end of Phase 1.
What we will share: anonymised before/after platform scores, citation lift timelines, and the specific changes that drove results. No vanity metrics. No anonymous testimonials. Just platform data.
Or run a free platform scan now// How we measure results
All case studies use the VISIBLD platform's 5-pillar scoring model (Technical, Content, Entity, Distribution, Authority), tested across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews. 97%+ of the score is hard-measured from live site fetches and public APIs. Before scores are taken at audit delivery. After scores are taken at 30, 60, and 90 days post-implementation.
All client details are anonymised by default — profession and city only, no firm names without explicit written consent.
— VISIBLD · Methodology peer-reviewed against Princeton/Georgia Tech KDD 2024.
// What drives the results
The platform's scoring is built on peer-reviewed research.
AI visibility from statistics with attribution
Princeton / Georgia Tech, KDD 2024
lift from quotations from credible sources
Princeton, KDD 2024
stronger correlation: brand mentions vs backlinks
Ahrefs, 75,000-brand study, 2025
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