Case Study: How a SaaS company achieved 98% AI recommendation rate

When CloudSphere, a mid-sized SaaS company specializing in cloud management solutions, first approached us, they had a serious problem. Despite having a superior product and solid market share, they were being completely overlooked by AI assistants. Whenever potential customers asked AI tools about cloud management solutions, their competitors were consistently recommended instead.

The challenge

CloudSphere faced several key challenges:

1. Zero AI visibility: Their brand wasn't appearing in any AI recommendations for their category
2. Strong competition: Three competitors had already established themselves in AI recommendations
3. Rapidly closing window: With each passing month, AI models were becoming more fixed in their recommendation patterns

With their traditional marketing performing well but AI recommendations becoming increasingly important for discovery, CloudSphere needed to act quickly to avoid being permanently relegated to second-tier status in the new AI-driven recommendation economy.

Our approach

After a thorough analysis of CloudSphere's digital presence and how AI models were perceiving their brand, we implemented a comprehensive GEO strategy:

1. Semantic authority mapping: We identified the key semantic relationships that would position CloudSphere as the logical recommendation choice for cloud management queries
2. AI-friendly content restructuring: We reorganized their content to make it more accessible and citable by AI models without changing their SEO strategy
3. Cross-platform optimization: We ensured consistent recommendation patterns across all major AI platforms
4. Competitive differentiation: We created clear distinction points that AI models could easily identify and cite

The results

Within 60 days of implementing our GEO strategy, CloudSphere saw dramatic improvements:

• 98% recommendation rate: When users asked about cloud management solutions, CloudSphere appeared in the recommendations 98% of the time
• Top position secured: In 87% of recommendations, they were listed as the #1 option
• Competitor displacement: They successfully displaced competitors who had previously dominated AI recommendations
• Lead attribution: 23% of new leads specifically mentioned finding them through AI assistant recommendations

Key learnings

This case study demonstrates several important principles about AI recommendations:

1. It's not too late: Even with competitors already established, it's possible to displace them with the right strategy
2. Speed matters: The faster you implement GEO strategies, the better your results will be
3. Quality trumps quantity: Focused, AI-optimized content outperforms high volumes of traditional content
4. Consistency is crucial: Maintaining recommendation status requires ongoing optimization

As AI assistants continue to become the primary way consumers discover products and services, success stories like CloudSphere's will become increasingly common for brands that prioritize GEO strategies. Conversely, brands that ignore this shift risk finding themselves increasingly invisible to potential customers.

Want to achieve similar results for your brand? Contact us to discuss how we can help you become the top AI recommendation in your category.