Every case study on this page is a real Day 0-90 proof cycle with locked prompt matrices, independent re-tests, and zero cherry-picking. Read the full posts for matrices, methodology, and verbatim results.
35-55%+ citation rates by Day 90 · 50-100 prompts per audit · 6 engines · 12 programs tracked
Every case study is grounded in the same measurement methodology: locked prompt matrices, independent re-tests at 30/60/90 days, and verified citation data across 6 engines.
A Series B project management SaaS platform with strong domain authority but near-zero AI visibility. Went from being invisible in ChatGPT and Claude recommendations to appearing in first-position citations across Perplexity, Gemini, and Claude within 90 days.
A mid-sized DTC outdoor gear brand with 400+ SKUs competing against REI and Patagonia. Went from 5% product citation rate to 47%, appearing in shopping recommendations, category answers, and comparison queries across 6 engines.
A 15-year-old strategy consulting firm with Fortune 500 clients but almost no public indexable proof. Moved from 3% to 51% direct brand citation rate, appearing as the first recommendation in supply chain transformation queries.
A performance marketing boutique went from 3% to 47%. Parallel patterns held for a full-service agency (2% → 44%) and a content-led growth shop (4% → 39%) on their respective matrices. All three tracked through the Day 0-90 proof cycle.
A Series A developer tooling company competing against established players with higher domain authority. Went from 2% to 38%. Two additional startups (vertical SaaS and marketplace apps) reached 35-42% on their respective matrices.
Across twelve client programs completed in 2025-2026 using the locked Day 0-90 proof cycle, priority prompts moved from an average of 3-5% direct brand citation on Day 0 to 35-55% by Day 90. The data comes from repeating the exact same 50-100 prompt matrices across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot at each measurement gate.
How the numbers are produced: Every case study follows the measurement protocol in our guide How to Measure and Prove GEO Results: Day 0 to 90 Proof Cycles. Locked prompt matrices, independent re-tests, no post-hoc selection.
50-100 prompts across 6 engines. Prioritized 60-90 day roadmap in 5 business days. No credit card. No sales call. Your results become our next published proof cycle.
We start with the $0 audit. Retainers billed monthly after we demonstrate value.
Yes. Every case study on this page is based on actual client engagements using the Day 0-90 proof cycle methodology. Client names are anonymized under NDA, but the prompt matrices, measurement gates, and citation rate data are real and verifiable. Each case study links to the full methodology post.
We lock a 50-100 prompt matrix on Day 0 and re-run it fresh at 30, 60, and 90 days across ChatGPT, Perplexity, Gemini, Claude, Grok, and Copilot. Citation rate is the percentage of those prompts where the client brand appears as a direct citation or clear recommendation. No post-hoc selection or cherry-picking.
Published case studies cover B2B SaaS, Ecommerce, Professional Services (consulting), Marketing Agencies, and Startups. The aggregated results span 12 programs across additional verticals. If your industry is not listed, the methodology works across any category where AI engines are answering buyer questions.
Our published case studies show measurable movement at all gates. Day 30 typically shows 12-18% citation rates. Day 60 reaches 22-35%. Day 90 reaches 35-55% on target category prompts. Top-quartile programs have reached 58-61%. Individual results vary with starting authority and category competition.
Full client matrices are protected under NDA. Each case study includes anonymized 8-row excerpts showing the exact Day 0 vs Day 90 format and movement pattern — enough to verify the methodology without exposing client-specific prompt lists.