We engineer your brand
into AI answers.
We don't do content marketing. We don't do traditional SEO. We engineer your brand into the retrieval layer of AI systems — through Adaptive RAG, Brand Memory, and entity intelligence.
Retrieval vs. Ranking.
AI models don't rank pages. They retrieve entities. If your brand isn't structured as a trusted entity, you don't get cited.
| Dimension | Traditional SEO | RAG Signal / GEO |
|---|---|---|
| Goal | Google ranking, clicks | AI citations, brand mentions |
| Optimizes for | Keywords, backlinks | Entity clarity, retrieval signals |
| Measured by | Rankings, traffic | Citation rate, prompt presence |
| Methodology | Content volume, links | Adaptive RAG, Brand Memory |
| Timeline | Months to years | Measurable in 90 days |
Proprietary engineering.
Brand Memory™
Our proprietary knowledge layer maps your entity relationships and proof points into a format AI retrieval systems read, trust, and cite.
Adaptive RAG
We engineer retrieval signals — structured data, entity reinforcement, and source weighting — to ensure high retrieval priority across all major AI models.
PhD Method
Built on academic research into LLM retrieval behavior. We don't guess — we apply verified engineering principles tested on our own brand first.
Prompt Reality Audit
We test the real prompts your buyers use and capture how AI currently answers — including who it names instead of you and why.
Competitor Monitoring
We track which competitors are being cited in your category and identify the signals they're using that you're not.
Citation Delta Reporting
We rerun the same prompts at day 30, 60, and 90 — scoring the delta and keeping the system adaptive instead of static.
Five steps. One system.
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.
Five dimensions of AI visibility.
Every brand is scored across five retrieval dimensions. We identify which are weak and fix them in order of impact.
How clearly AI models understand who you are, what category you're in, and what role you play.
The credibility and diversity of sources that mention your brand — owned, earned, structured, and third-party.
Structured data, schema markup, and technical signals that help AI systems parse and retrieve your brand correctly.
The curated knowledge layer that stores your brand facts, proof points, and entity relationships in a retrievable format.
How recently your brand signals have been updated — AI models weight recent, consistent signals more heavily.
Every engagement starts
with a free audit.
We test real buyer prompts across ChatGPT, Claude, Perplexity, and Gemini — and show you exactly where you're missing. No commitment required.