B2B SaaS
12-week engagement
Compliance SaaS Company: GEO Score 31 to 84 in 12 Weeks
A mid-market compliance software company was generating strong organic search traffic but was completely invisible to AI search engines. When prospects asked ChatGPT or Perplexity for compliance software recommendations, the company did not appear. Their competitors, with lower domain authority, were being cited consistently.
The audit findings
The initial GeoScored audit revealed a score of 31 out of 100. Primary failures included: zero structured data markup on any page, no llms.txt file, heading hierarchy violations on 80% of pages, and content structured as long-form narratives with no self-contained passages. The content was well-written for human readers but structurally invisible to AI models.
What we implemented
- Organization, FAQPage, and Article schema markup across 47 pages
- llms.txt with comprehensive product and feature descriptions
- Content restructured into self-contained passages (20-80 words each)
- Heading hierarchy corrected to proper H1-H4 nesting on all pages
- Fact density improved by adding specific metrics, percentages, and data points to key pages
Results
4.1x
AI Citation Frequency
23%
Increase in Demo Requests
GEO score measured by GeoScored. Citation frequency measured across ChatGPT, Perplexity, and Gemini over 90 days. Demo request increase measured via CRM attribution.
E-commerce
8-week engagement
DTC Skincare Brand: From Zero AI Presence to Category Recommendation
A direct-to-consumer skincare brand with $12M annual revenue had strong traditional SEO rankings but zero presence in AI search results. When consumers asked AI models for skincare product recommendations, the brand was never cited despite having higher-quality ingredients and more clinical data than competitors who were being recommended.
The audit findings
GeoScored audit score: 22 out of 100. The site relied entirely on JavaScript rendering for content delivery, making it invisible to most AI crawlers. Product pages had no Product schema markup. Ingredient information and clinical data were embedded in images rather than structured text. The blog published 3 posts per week but each post averaged only 180 words with no citations or data points.
What we implemented
- Server-side rendering for all product and content pages
- Product schema markup with ingredient lists, clinical data, and review aggregation
- Blog content expanded to 800-1200 words per post with clinical citations and dermatologist quotes
- FAQPage schema on product pages with ingredient and usage questions
- llms.txt with brand story, product catalog summary, and clinical evidence overview
Results
First
AI Recommendation in Category
31%
Organic Revenue Increase
GEO score measured by GeoScored. AI recommendation tracked across ChatGPT and Perplexity product queries. Revenue attribution via UTM tracking over 90 days post-implementation.
Professional Services
6-week engagement
Law Firm: Structured Data Overhaul Drives 5x AI Citation Rate
A 40-attorney law firm specializing in employment law had extensive practice area content but was rarely cited by AI models. Competing firms with less content but better structured data were consistently recommended when users asked AI models for employment law guidance.
The audit findings
GeoScored audit score: 38 out of 100. The firm had 200+ pages of practice area content, but zero schema markup, no FAQ structured data despite having an extensive Q&A section, and heading hierarchy that jumped from H1 directly to H4 on most pages. Content was dense and authoritative but structured as legal briefs rather than extractable passages.
What we implemented
- FAQPage schema on 45 practice area pages with structured Q&A pairs
- Organization and LegalService schema markup
- Content restructured from legal brief format to self-contained passages with fact-dense opening sentences
- Heading hierarchy corrected from H1 → H4 to proper H1 → H2 → H3 nesting
Results
5.2x
AI Citation Frequency
17%
Increase in Consultations
GEO score measured by GeoScored. Citation frequency measured across ChatGPT, Perplexity, and Gemini over 60 days. Consultation increase measured via intake form attribution.