We don't do visibility.
We do retrieval.
RAG Signal was founded by Bora Kurum to treat AI presence as a structured retrieval problem. We don't do vague visibility. We do Adaptive RAG and Signal Weighting.
"The market is full of 'AI SEO' snake oil. RAG Signal owns four proprietary technologies: Adaptive RAG, Brand Memory, the RAG Scoring Algorithm, and Entity Intelligence. These aren't marketing terms — they're engineered systems that make brands retrievable and citable in AI models."
— Bora Kurum, Founder & CEO
Founder Profile
Why RAG Signal Exists
In 2024, a fundamental shift became visible: B2B buyers stopped searching and started asking. ChatGPT, Claude, Perplexity — users were getting answers without ever visiting a website. The unit of digital visibility changed from the click to the citation.
Traditional SEO was optimizing for the wrong retrieval system. Google's PageRank and an LLM's vector space operate on fundamentally different mechanics. Brands dominating Google were invisible in AI. Brands with structured entity data but weak backlinks were getting cited. The gap was structural, not cosmetic.
RAG Signal was founded to close this gap — not with another content tool, not with "prompt engineering," but with a structured, repeatable engineering methodology: Adaptive RAG. We treat brand presence as a data engineering problem. We build Brand Memory, weight retrieval signals, and deploy across all major AI models so your brand becomes the cited answer — not the invisible alternative.
Why RAG?
Retrieval-Augmented Generation is the technical mechanism that powers AI answers. When a user asks a question, the model doesn't "know" the answer — it retrieves relevant information from its knowledge base, then generates a response. If your brand isn't in that retrieved set, it cannot appear in the answer.
Our name starts with the core technology we engineer. We don't write content hoping AI notices. We work directly in the retrieval layer — the place where AI models actually look for facts before they speak.
Why Signal?
In information theory, a signal is structured data transmitted through a channel, distinct from noise. AI models swim in an ocean of undifferentiated content — most of it is noise. A brand that gets cited emits a clear, consistent, machine-readable signal.
Our job is to amplify your signal — to make your brand's entity data so structured, so consistent, and so well-weighted that AI retrieval systems treat it as ground truth. Not noise. Signal.
Company Values
Engineering Over Marketing
We build systems, not narratives. 40+ platform modules.
Measurable, Not Vague
Citation Rate, Citation Delta, Cross-Model Persistence.
Performance-Linked
We only get paid in full when you get cited.
Founder-Led
Every engagement involves Bora directly. No handoffs.
Model-Agnostic
Your Brand Memory deploys across all AI models.
Work With Us
Every engagement starts with a conversation. Bora responds personally within 24 hours.
Kozyatagi Mah., Kaya Sultan Sok., Hayriye Is Merkezi No:83/3, Kadikoy, Istanbul, TR
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