We Audited Our Own Site
Before Charging Anyone Else
Before launching our paid audit service, we ran the full AI Visibility Audit process on ourselves — found 6 critical gaps, fixed all of them, and went from 62 to 78 in one session.
Check Your Free 10-Dimension AI Visibility Score →GEORaiser — We Audited Our Own Site
6 Fixes Applied in One Session
Sitemap Rebuilt and Registered
The /sitemap.xml route returned a 404 — every AI crawler that tried to discover pages hit a dead end. We rebuilt the sitemap, registered it in robots.txt, and submitted to Google Search Console. This single fix unblocked crawl discovery for all pages.
Schema Markup Added Across Key Pages
Zero structured data meant AI engines had no machine-readable signals for content type, authorship, or organizational identity. We added Organization, WebSite, BreadcrumbList, and FAQPage JSON-LD schema to all primary pages — giving AI engines the structured signals they extract citations from.
llms.txt File Created with Correct URLs
The llms.txt file existed but had wrong URLs throughout — pointing to localhost instead of the live domain. AI models ingesting it were getting broken links. We fixed every URL and restructured the file to follow the emerging standard, giving LLMs a clean curated index of our content.
Schema URLs Corrected
Existing JSON-LD schema had @id and url fields pointing to http://localhost:3000 — making every structured data block technically invalid in production. Fixed all schema URLs to use the live domain across all page types.
Canonical Tags Added to All Pages
No <link rel="canonical"> tags meant search engines and AI crawlers couldn't resolve duplicate content signals. Every page now has a canonical URL, reducing ambiguity about which version to index and cite.
robots.txt Completed
The robots.txt file was missing a Sitemap: directive — AI crawlers checking robots.txt had no pointer to the sitemap. Added the directive and verified all major AI crawlers (GPTBot, ClaudeBot, PerplexityBot) are explicitly allowed.
More Case Studies
The 8-Figure Shopify Brand ChatGPT Stopped Recommending
An eight-figure Shopify brand lost AI product recommendations to a WooCommerce impersonator that had reverse-engineered AI visibility signals. Three structural GEO gaps made it possible.
AI Impersonation Case StudyBaremetrics vs ChartMogul: Closing the AI Citation Gap
ChartMogul gets cited 11 times out of 15 SaaS metrics queries. Baremetrics appears in only 2. We audited Baremetrics and found the structural gaps driving the citation difference.
10-Dimension AI Visibility Score: 49/100 • B2B SaaSTitan Web Agency: Diagnosed the GEO Gap — But Hadn't Fixed Their Own
A dental marketing agency that publicly writes about AI visibility for dental practices — but scores 52/100 on their own GEO audit. Fake llms.txt, missing AggregateRating, 65-word founder bio.
10-Dimension AI Visibility Score: 52/100 • Healthcare MarketingSunrise Integration: One Sprint Away from A-Territory
A 24-year Shopify Plus Partner with Disney and Ferrari on their roster — selling GEO services but missing llms.txt, Article schema, and author attribution on 100+ pages.
10-Dimension AI Visibility Score: 52/100 • Shopify Agency9Sail: Publishing AI Search Guides with a 22/100 10-Dimension AI Visibility Score
A legal marketing agency that advises law firms on AI visibility — but their JS-heavy SPA makes their own site nearly invisible to AI crawlers. Zero schema, no llms.txt.
10-Dimension AI Visibility Score: 22/100 • Legal Marketing