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Engineer your way to the answer

AI models don't "read" content like humans. They calculate relevance using math. If the numbers don't add up, you remain invisible. We calculate the distance and help you close the gap.

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How LLMs actually select a brand

01. Everything is a vector
‍LLMs do not "read" your website. They convert your content into lists of numbers called Embeddings. To an AI, your brand is simply a set of coordinates in a high-dimensional mathematical space.

2. Distance equals relevance
‍In this vector space, related concepts cluster together. The AI doesn't look for the "best" answer, it looks for the nearest one. It calculates the mathematical distance between the user's prompt and your brand.

‍03. Proximity is visibility
‍If your brand’s vector is "far away" from the topic’s center, you are invisible, no matter how good your SEO is. To win, you must mathematically move your coordinates closer to the cluster center.

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What you get

We translate your digital footprint into geometry to understand exactly how algorithms perceive you.

Feature 05.1

Custom semantic analysis

We manually collect and clean all data from every source mentioning your competitors to build a custom dataset that matches your specific market reality.

Feature 05.2

The "Missing Entity" list

We hand you a prioritized list of the exact concepts your content is missing. We tell you not just what keywords to use, but how to structure them to satisfy the model.

Feature 05.3

Perfomance monitoring

Semantics change over time. We re-run the clustering models regularly to ensure your new content is effectively moving your brand closer to the center and alert you if you drift away.

We act as your AI search team

This level of optimization requires more than a software tool. We execute the strategy for you. Our data scientists build a bespoke semantic model for your niche and hand your content team a precise architectural blueprint to win.

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The research

Are You Visible to LLMs? Measuring the Semantic Gap in 2026

Knowledge base

Access our findings

The algorithms change daily. We track thousands of prompts and publish our internal experiments on prompt volatility, ranking factors, and semantic gaps.

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Engineer your way to the answer

How LLMs actually select a brand