The shift

Your buyer's research journey used to start with ten blue links. Now it often ends with one synthesised paragraph naming three vendors. If you're not one of the three, you're not in the consideration set - and you'll never see it in your analytics, because there was never a click to attribute.

This is the uncomfortable part: AI search failure is invisible in your existing reporting. Traffic dips get blamed on seasonality or an algorithm update. The actual cause is that a model decided your competitor was the more citable source.

What we do

Prompt-set engineering

We map the 25–150 questions your buyers actually ask AI tools - not keywords, questions. "Best ERP for Nordic manufacturers." "Alternatives to [competitor]." "Is [your category] worth it for a 200-person company." That set becomes your permanent scoreboard.

The same method, applied at category scale, produced our AI Visibility Index 2026: 100 buying-intent prompts across 20 B2B software categories, run against ChatGPT, Perplexity and Google AI Overviews.

Prompt

Best ERP for Nordic manufacturers

Your brand cited

Entity architecture

AI models reason about entities, not strings. We make your brand unambiguous across your site, schema, Wikidata, LinkedIn, Crunchbase, G2 and industry directories, so a model can confidently identify who you are, what you do, and who you serve. Entity confusion is the most common and most fixable reason brands don't get cited.

Citation-ready content

Answer-first structure. Original data. Clear attributions. Explicit comparisons. Models cite content they can extract cleanly and attribute confidently - which is a genuinely different craft from writing to rank.

Third-party corroboration

A model's confidence in citing you rises when independent sources say the same thing. Digital PR, review platforms, industry publications, podcast appearances. This is where the durable advantage sits, and it's the part most agencies skip because it's hard.

Technical AI accessibility

Correct crawler permissions, structured data, llms.txt, static-first rendering. We regularly find sites that have accidentally blocked GPTBot entirely and wondered why they vanished from ChatGPT.

What you get monthly

Share-of-AI-voice report across ChatGPT, Perplexity, Gemini, Google AI Overviews
Prompt-by-prompt citation tracking, with competitor comparison
Content shipped on a fixed cadence
Entity and technical maintenance
A monthly call where we explain what moved and what didn't

An honest note on measurement

GEO is a young discipline and the measurement layer is still maturing. We can show you reliably whether you are cited, how often, in what terms, and against whom. We cannot yet hand you a clean revenue attribution from an AI citation the way GA4 attributes an organic session - nobody can, and you should be sceptical of anyone claiming they do. What we can do is move a metric that demonstrably precedes pipeline, and be transparent about the limits of the model.

Get cited in the answer, not buried in the links.