We Audited Our Own Site
Before Charging Anyone Else
Before launching our paid audit service, we ran the full GEO audit process on ourselves — found 6 critical gaps, fixed all of them, and went from 62 to 78 in one session.
Get Your Free GEO Audit →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.