GEO Case Studies: How Brands Improved Their AI Visibility

Why these case studies matter

Generative Engine Optimization is still new territory for most marketing teams. The question we hear most is: "Does this actually work?"

The short answer: yes. Below are three real stories from Rankio users who applied GEO strategies and measured the results using our transparent methodology. Company names are anonymized, but the numbers, timelines, and tactics are authentic.

Each case study follows the same structure: the situation before GEO, what was done, and the measurable impact on AI Share of Voice and Visibility Score.

B2B SaaS — +38% AI visibility after structured content

The situation

A European B2B SaaS company (project management category, ~50 employees) had strong SEO rankings but virtually no presence in AI answers. When prospects asked ChatGPT or Perplexity "best project management tools for agencies", their brand never appeared — while three competitors were consistently cited.

Their initial Rankio Visibility Score was 12/100 across 40 industry-relevant prompts. Their AI Share of Voice was under 3%.

What they did

• Week 1-2: Added Organization, SoftwareApplication, and FAQPage JSON-LD structured data to their homepage and key product pages
• Week 2-3: Created 5 long-form articles directly answering the top prompts where they had zero visibility (e.g., "Best project management for remote agencies", "How to choose a PM tool")
• Week 3-4: Built a comparison page vs. their top 3 competitors with honest feature-by-feature breakdown
• Week 4-5: Published an llm.txt file and added clear entity definitions across their site

Results after 6 weeks

The structured content articles were the biggest driver. The comparison page alone was responsible for 40% of new citations. GEO-optimized content that directly answers user queries is the single highest-ROI tactic.

Fintech startup — 3x Share of Voice in 8 weeks

The situation

A fintech startup (personal finance category, Series A) was launching in a competitive space with established players. They knew traditional SEO would take months. They decided to invest in GEO from day one to build AI visibility in parallel.

Initial AI Share of Voice: 7% (vs. 35% for the market leader). Visibility Score: 22/100.

What they did

• Content cluster: Created a "Learn" hub with 8 educational articles covering their entire topic area (budgeting methods, savings strategies, investment basics). Each article interlinked with clear anchor text — exactly the topical authority strategy that AI models reward
• Schema everywhere: Added JSON-LD on every page — Article, FAQPage, Organization, BreadcrumbList
• Weekly SOV monitoring: Tracked 60 prompts weekly to identify which content was driving citations and which gaps remained
• Iterative optimization: Used Rankio's Content Studio to generate briefs for prompts where they had 0% visibility but competitors were cited

Results after 8 weeks

The key insight: the content cluster strategy created a reinforcing loop. Each article boosted the authority of the others, and AI models began citing multiple articles from their hub in a single response. This is the knowledge graph effect in action.

Healthcare platform — from invisible to 70% citation rate

The situation

A healthcare information platform (patient education, ~200K monthly visitors) had excellent content but AI models almost never cited them. Their content was long, narrative-driven, and lacked structure — exactly what makes it hard for AI models to extract and cite.

Initial Visibility Score: 8/100. Share of Voice: 2%. Despite being an authoritative source, they were invisible in AI answers about their core topics.

What they did

• Content restructuring: Reformatted their top 20 articles to lead with a TL;DR, use H2/H3 headings with question-based titles, and add summary tables and bullet lists — formats AI models prefer for extraction
• FAQ expansion: Added 5+ FAQ items to each major article, with matching FAQPage JSON-LD. Each question was phrased exactly as users ask AI models
• Entity clarity: Standardized how their brand name appeared across all pages and added Organization and MedicalOrganization schema
• Prompt monitoring: Set up daily monitoring on 30 health-related prompts to track citation trends

Results after 10 weeks

The dramatic improvement came from restructuring — not creating. They didn't write a single new article. They reformatted existing authoritative content into formats that AI models could easily parse and cite. This proves that GEO is not just about creating new content — it's about making your existing expertise accessible to AI.

What the data tells us

Across all three case studies and our broader user base, consistent patterns emerge:

• Structured data has immediate impact: adding JSON-LD schema is the fastest win — often visible in AI responses within days
• Content that answers specific prompts outperforms generic content by 4-5x in citation rate
• Interlinked content clusters build compounding authority — AI models prefer citing sites that demonstrate topical depth
• Consistency across models matters: brands visible on ChatGPT but not Perplexity are missing half the opportunity. Rankio's multi-model approach catches these gaps
• Measurement drives improvement: teams that tracked SOV weekly saw 2x faster improvements than those measuring monthly
• Results compound over time: the most successful users treat GEO as an ongoing program, not a one-time project

Replicate these results

• Run a baseline Visibility Score analysis to know your starting point
• Add JSON-LD structured data to your top 10 pages (Organization, Article, FAQPage)
• Identify the 10 prompts where you have zero visibility but competitors are cited
• Create or restructure content to directly answer those prompts
• Build a content cluster with clear internal links and consistent entity naming
• Measure your AI Share of Voice weekly to track progress
• Iterate: use Rankio's scoring data to identify what's working and double down

Frequently asked questions