The Challenge
A mid-market B2B SaaS company in the project management space discovered that when potential customers asked AI assistants about project management tools, their brand was never mentioned. Competitors with similar or inferior products were consistently recommended instead.
Their initial AI Presence Score was 12 out of 100 — meaning AI models mentioned them in only 12% of relevant queries.
The Diagnosis
Using Rankhelper's AI Presence Scanner, the team identified three core issues:
- Weak entity recognition — AI models didn't consistently recognize the brand as a project management tool
- Poor content structure — Their blog content was keyword-stuffed but lacked the clear, authoritative structure AI models prefer
- Limited cross-platform presence — The brand existed primarily on their own website with minimal third-party mentions
The 90-Day Strategy
Month 1: Foundation (Weeks 1-4)
Entity strengthening:
- Rewrote the About page with clear, factual descriptions
- Added comprehensive Organization schema markup
- Updated all social media profiles with consistent descriptions
- Created a detailed Wikipedia-style company description
Content restructuring:
- Audited top 20 blog posts for AI readability
- Added FAQ schema to 15 key pages
- Restructured content with clear H2/H3 hierarchies
- Added direct-answer paragraphs at the top of each section
Month 2: Authority Building (Weeks 5-8)
Original research:
- Published a "State of Project Management 2026" report with original survey data
- Created industry benchmark comparisons with cited sources
- Developed a free project management maturity assessment tool
Third-party presence:
- Contributed guest articles to 5 industry publications
- Updated listings on 12 software review platforms
- Participated in 3 industry podcasts
Month 3: Optimization (Weeks 9-12)
Iterative improvement:
- Used weekly AI Presence Score tracking to identify winning content patterns
- Doubled down on content formats that drove the highest AI mention rates
- A/B tested different content structures on similar topics
- Expanded coverage to adjacent query categories
The Results
| Metric | Before | After 90 Days | Change |
|---|---|---|---|
| AI Presence Score | 12/100 | 53/100 | +340% |
| AI models mentioning brand | 1 of 6 | 5 of 6 | +400% |
| Query coverage | 8% | 47% | +488% |
| Organic traffic | Baseline | +28% | +28% |
| Demo requests | Baseline | +45% | +45% |
Key Takeaways
- Entity recognition is the foundation — Without clear brand identity signals, no amount of content optimization will work
- Structure matters more than volume — Restructuring existing content was more impactful than publishing new content
- Cross-platform presence amplifies everything — Third-party mentions accelerated AI model recognition significantly
- Measurement enables iteration — Weekly score tracking allowed rapid course correction
- SEO and GEO compound — The organic traffic increase was a bonus from GEO-focused improvements
Applying This to Your Business
The specific tactics will vary by industry, but the framework is universal:
- Measure your current AI visibility
- Diagnose the gaps (entity, content, authority)
- Fix the foundation first
- Build authority through original content and third-party presence
- Iterate based on measurement