LLM SEO agency that turns AI search into your growth engine        Based in Europe        We help SaaS & Fintech companies grow AI visibility in LLMs.

AI engines don't choose citations randomly. Every source that gets cited was selected over dozens of alternatives for specific, identifiable reasons, whether that's structure, authority, freshness, or how directly the page answers the question.

We identify exactly which pages are currently being cited for your target topics and analyze why they were chosen over yours, comparing structure, depth, authority signals, and formatting side by side.

AI models don't read your site the way a person does. They try to resolve your brand, product, and category into specific entities they already have some understanding of, and when that resolution is ambiguous, they either guess incorrectly or leave you out entirely rather than risk citing the wrong thing.

Your brand, product, and category are mapped as explicit, disambiguated entities, backed by structured data and consistent naming, so AI systems stop guessing who you are and start representing you accurately.

Content that can't be crawled can't be cited, no matter how good it is. Blocked robots.txt rules, aggressive bot protection, or firewall settings frequently shut out the exact AI crawlers a GEO strategy depends on, often without anyone noticing until visibility quietly stalls.

We audit and open access for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended, so your content can actually be retrieved by the systems you're trying to appear in.

An llms.txt file gives AI crawlers a direct map of what matters on your site and how to interpret it, similar to how a sitemap works for traditional search engines, but built specifically for the way language models consume content.

We build and maintain a live llms.txt file that tells AI crawlers what to index and how to interpret it, updating it as new content is published so it never falls out of sync with the site.

Generative engines don't read a page top to bottom the way a person does. They scan for specific, extractable structures, a direct definition, a clear answer to a specific question, a summary that stands on its own, and pull from those over dense, unstructured paragraphs.

We structure your content with TL;DRs, Q&A blocks, definitions, and other extractable answer formats, the exact structure generative engines actually pull from when building a response.

An AI model repeating outdated pricing, a discontinued feature, or an inaccurate comparison doesn't just create one wrong answer, it creates a pattern that gets repeated to every buyer who asks a similar question afterward, often traced back to a single outdated source the model keeps referencing.

We track how accurately AI answers portray your product, and when we find wrong or outdated claims, we trace them back to the source causing the problem and work to correct it.

Knowing you're mentioned occasionally doesn't tell you much without knowing how that compares to your competitors. The real question is how often you show up relative to the specific companies your buyers are also considering, on the exact prompts they're likely to ask.

We measure how often you appear against named competitors, prompt by prompt, across every major engine, turning AI visibility into a clear, trackable benchmark instead of a vague impression.