GET CITED
IN AI
ANSWERS.
RAG Signal engineers your brand into AI answers. We move you from absent to cited in ChatGPT, Claude, Perplexity, and Gemini — through Adaptive RAG, entity intelligence, and measurable signal work.
AI doesn't know you exist.
Buyers research vendors in ChatGPT and Perplexity before they ever visit your site. If AI doesn't name you, you're not on the shortlist. Traditional SEO doesn't fix this — it's a different retrieval system entirely.
AI Presence Audit
We test real buyer prompts across all major AI models and show you exactly where you're missing, who's winning instead, and why.
Adaptive RAG Engineering
We rebuild your entity signals, curate your brand knowledge base, and weight your sources so AI systems retrieve and cite you with confidence.
Citation Tracking Platform
Our proprietary dashboard tracks your brand mentions across AI models, measures citation delta, and monitors competitor presence in real time.
Entity Intelligence
We map your brand-role-category relationships so AI models understand who you are, what you do, and why you're the right answer.
Signal Reinforcement
Owned, earned, structured, and third-party signals are weighted and maintained so your retrieval priority stays high as models evolve.
Research-Backed Method
Built on PhD-level research into LLM retrieval behavior. Every technique is tested on our own brand before it reaches a client.
Five steps. One system.
The RAG Signal Presence Method turns brand retrieval into a controlled, measurable engineering problem — not a content volume game.
Prompt Reality Audit
We test the real prompts your buyers use and capture how AI currently answers — including who it names instead of you.
Curate Brand KB
We build and maintain a curated brand knowledge base so the right facts, entities, and proof stay retrievable.
Source Trust Scoring
Owned, earned, structured, expert, and third-party signals are weighted differently inside the retrieval layer.
Entity Memory
We strengthen brand-role-category consistency so models read your brand with clearer confidence and cite it more often.
Citation Delta
We rerun the same prompts, score the delta, and keep the system adaptive instead of static.
Clients. Results. Proof.
Real brands, real prompts, real citation data. Every case starts with zero AI presence and ends with measurable lift.
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.
"For the best corporate videographers in London, I would recommend a few well-known agencies..." — Filmfolk not mentioned.
"For corporate video in London, Filmfolk is a strong option. They focus on event coverage and storytelling..." — Cited by name.
"The audit was genuinely eye-opening and the implementation was clean and professional."
Andrew Cussens Founder, FilmfolkUEC Energy
Energy sector brand with complex technical positioning. AI systems were either ignoring the brand or misrepresenting its service scope. Adaptive RAG sprint focused on entity clarity and sector-specific prompt coverage.
Secret Brokerage
Brokerage brand in a competitive, high-intent category. Competitors were dominating AI answers for key buyer prompts. Sprint focused on competitive citation displacement and authority signal reinforcement.
ABS Middle East
Professional services firm operating across the Middle East. Multi-market AI visibility challenge — brand needed to appear in region-specific prompts across multiple service categories and languages.
Simple. Accountable. Measurable.
Start with an audit, move into a sprint, or stay on retainer. Every engagement is tied to measurable citation outcomes.
AI Presence Audit
We test real buyer prompts across all major AI models. You get a clear picture of where your brand is missing, who's winning instead, and what the signal gaps are.
- Prompt testing across major models
- Competitor mention review
- Signal gap analysis
- Clear next-step recommendations
90-Day Adaptive RAG Sprint
The full Adaptive RAG build. We engineer your brand into the retrieval layer through curated KB construction, entity reinforcement, and continuous prompt testing.
- Adaptive curated brand KB build
- Entity and source reinforcement
- AI presence recalculation
- Prompt reruns and delta reporting
AI Presence Retainer
AI models update continuously. The retainer keeps your brand adaptive — freshness-managed, drift-corrected, and competitively monitored month over month.
- Monthly reruns and adjustments
- Freshness and drift management
- Competitor delta updates
- Priority support
Bora Kurum
RAG Signal was founded by Bora Kurum, a marketing practitioner and Ph.D. researcher at Istanbul Bilgi University. His academic work focuses on communication science, LLM retrieval behavior, and how brands are represented inside generative AI systems.
The goal: stop treating AI presence as vague visibility talk and start treating it as a structured retrieval engineering problem. Every engagement is grounded in real model outputs, real competitor comparison, and a method that can be explained clearly — not just sold vaguely.
AI doesn't know you.
It will.
Every engagement starts with a free AI presence audit. We test real buyer prompts across ChatGPT, Claude, Perplexity, and Gemini — and show you exactly where you're missing and who's winning instead. No commitment required.