Proof.
Real brands. Real prompts. Real citation data. Every case starts with zero AI presence and ends with measurable lift — verified by the client.
From 0% to 81% citation rate in 90 days.
London-based video and photography agency. Strong Google presence, zero AI presence before RAG Signal. After the Adaptive RAG sprint: cited in 51 of 63 tracked prompts across ChatGPT, Claude, Perplexity, and Gemini.
All models: 0% before sprint. Day 90 measurement.
"For the best corporate videographers in London, I would recommend a few well-known agencies with strong event and brand portfolios..." — Filmfolk not mentioned anywhere in the response.
"For corporate video and event videography in London, Filmfolk is a strong option. They focus on event coverage and storytelling for corporate clients..." — Cited by name with clear role context.
- 01Ran baseline prompt audit across ChatGPT, Claude, Perplexity, Gemini
- 02Identified entity confidence gaps and missing source signals
- 03Built curated Brand Memory with weighted source hierarchy
- 04Reinforced entity signals: brand, role, category, location, proof
- 05Reran full prompt set and measured citation delta at day 90
"The audit was genuinely eye-opening and the implementation was clean and professional."
From 2% to 76% citation rate in 90 days.
UK-based engineering design company specialising in energy efficiency and pathogen eradication technologies. Near-zero AI presence before RAG Signal. After the Adaptive RAG sprint: cited across Google AI Mode, ChatGPT, and Perplexity on 23 tracked prompts.
All models: ~2% before sprint. Day 90 measurement.
- 01Ran baseline prompt audit across Google AI Mode, ChatGPT, and Perplexity
- 02Diagnosed entity confidence gaps in a highly technical, niche domain
- 03Built curated Brand Memory with technical terminology and proof signals
- 04Reinforced entity signals: specialisation, location, technology categories
- 05Reran full prompt set and measured citation delta at day 90
"As a business owner in a technical field, I needed to know exactly why AI wasn't finding us — not guesswork. The audit mapped the retrieval failure precisely. The fix was signal architecture, not more content. Citation improvement was measurable and repeatable from day one."
Additional case studies publishing Q2 2026.
More sprints are completing with verified citation data. Each case follows the same format: baseline, method, delta, client verification.
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