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Case Study #1

SaaS Company — Full GEO Optimization

Before
62
GEO Score
+16 pts
After
78
GEO Score
Context: A full-service SaaS company had built solid content but was invisible to AI search engines. Their sitemap was broken, AI crawlers were partially blocked, and schema markup was incomplete. One audit session fixed six critical gaps — moving them from the bottom third to competitive AI citation territory.

3 Fixes That Drove the Improvement

1

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.

Impact: +6 GEO points
2

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.

Impact: +5 GEO points
3

llms.txt File Created

No llms.txt file meant AI models had no curated entry point for understanding the site's purpose and key pages. We created a structured llms.txt following the emerging standard — providing a direct, human-readable index that LLMs use when crawling for citation candidates.

Impact: +5 GEO points

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