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About RAG Signal
What is RAG Signal?+
RAG Signal is a done-for-you AI visibility service. We engineer your brand into the retrieval layer of AI systems like ChatGPT, Claude, Perplexity, and Gemini through Adaptive RAG, entity intelligence, and measurable signal work. We are not a software tool — we do the work.
Is this a tool or a service?+
RAG Signal is a done-for-you services engagement. We audit, build, and maintain the systems that drive AI visibility — across entity signals, source weighting, and curated brand knowledge bases. Clients receive execution, measurement, and strategic guidance. You also get access to our tracking platform as part of the engagement.
Who is behind RAG Signal?+
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. Read more about Bora →
The Method
What is Adaptive RAG?+
Adaptive RAG is our proprietary framework that goes beyond static knowledge injection. We continuously adjust which sources enter the AI retrieval layer, how they are weighted, how fresh they are, and how consistently they reinforce your brand's entity signals. The system adapts to model behavior, competitor pressure, and prompt patterns — so your brand stays retrievable as AI systems evolve.
How is this different from traditional SEO?+
Traditional SEO optimizes for Google rankings and clicks. RAG Signal optimizes for AI citations and brand mentions in AI-generated answers. These are different retrieval systems with different signals. Strong Google rankings do not translate to AI presence — Filmfolk had both, but only after the Adaptive RAG sprint. See the comparison table →
What is a curated brand knowledge base?+
A curated brand KB is a structured, weighted collection of facts, entities, and proof points about your brand that we build and maintain. It's the foundation of the Adaptive RAG system — it ensures the right information about your brand is retrievable, weighted correctly, and kept fresh over time.
Results & Timelines
How fast do results appear?+
Most clients see measurable citation improvements within the 90-day sprint. AI systems update continuously, so progress compounds over time as authority and clarity signals strengthen. We track the same prompt set before and after, so the delta is always measurable.
What does "AI visibility growth" actually mean?+
AI visibility growth refers to measurable changes in: how often your brand is mentioned or cited in AI answers; whether your company is included in comparison and recommendation prompts; and how accurately AI systems describe your services and positioning. We track these signals directly across generative platforms — not rankings or website traffic.
Do you have proof it works?+
Yes. Filmfolk went from 0% to 81% AI citation rate (51/63 tracked prompts) after the 90-day sprint. The case study includes real before/after prompt outputs and verified client attribution. Read the full case study →
Pricing & Fit
How much does it cost?+
The AI Presence Audit is free (by application). The 90-Day Adaptive RAG Sprint is €499 upfront + €899 when retrieval targets are met. The monthly retainer is €599/month on a 12-month contract. See full service details →
What is the performance guarantee?+
The €899 second payment on the 90-Day Sprint is only due when agreed retrieval targets are met. We define the targets upfront and only invoice when they're achieved. We have skin in the game on every engagement.
Who is this not a fit for?+
This is not a fit for companies looking for quick SEO fixes or keyword ranking boosts, paid ads management, or automated AI tools without human analysis. Our work is designed for B2B companies focused on long-term AI visibility, credibility, and recommendations inside AI-driven buyer research.
Which AI platforms does this affect?+
Our work is designed to improve how your brand appears inside ChatGPT, Google Gemini / AI Overviews, Perplexity, Claude, Grok, and more. We optimize for the shared signals these systems use to understand businesses, compare vendors, and generate recommendations.

Still have questions?

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