You want to be there when buyers ask ChatGPT, Perplexity, Gemini or Claude about your space. I am the consultant who makes that happen — it is called GEO, but you do not need the jargon to want it.
Plain language. One accountable expert — not an “AI” retainer.
Someone evaluating tools in your category opens ChatGPT, Perplexity, Gemini or Claude and asks who the good options are. The model names a handful. If you are not in that handful, you were never considered — and you will never see it in your analytics.
Buyers ask “what are the best tools for X” and the LLM lists three names. Yours is not one of them, and you never find out.
You hold solid Google positions, yet the AI answer your buyer actually reads cites competitors instead of you.
If ChatGPT or Perplexity cannot pin down what you do and who you serve, it reaches for clearer, more-cited names instead.
Generative engine optimization is the work behind being mentioned and cited inside LLM answers. Most buyers do not search for “GEO” — they just want to show up when someone asks ChatGPT or Perplexity. It comes down to a clear entity, structured data, answer-shaped content and real source authority, run as one system with AI from day one. I improve your odds of being retrieved and cited. I do not promise placement, because no honest consultant can.
Concrete work that moves whether LLMs mention and cite you, not a vague retainer with an AI sticker on it.
Where you are mentioned and cited across ChatGPT, Perplexity, Gemini and Claude today, versus competitors, on the real questions your buyers ask.
Make your company unambiguous to models: entity modeling, schema markup and consistent facts across the web, so they know exactly what you do.
Pages models can lift and cite, mapped to the questions buyers actually type into LLMs about your category.
The third-party mentions, listings and sources LLMs trust, so you sit in the set they pull from when they answer.
The technical and on-page basics still feed the models, kept aligned with the goal of being seen in LLMs.
Ongoing tracking of mentions, citations and share of voice across ChatGPT, Perplexity, Gemini and Claude, tied to pipeline, not vanity metrics.
See where you stand today across LLMs and real buyer questions, and find the entity, content and authority gaps holding you back.
Entity clarity and structured data are the fastest-moving layer, so the models can actually read and place you.
Ship answer-ready content and build the third-party mentions LLMs trust, mapped to the questions buyers ask.
Track mentions and share of voice, double down on what gets cited, adapt as models re-crawl and re-rank sources.
Buyers ask an LLM now. The job is simple: be the name it mentions.
Andrii Byzov / LLM visibility consultant
I am Andrii Byzov — an AI-native marketing operator who has led growth across B2B SaaS and fintech, including CMO roles at DataImpulse and AcademyOcean (Netpeak Group).
I work in plain language and build systems that replace two or three manual roles, not a ChatGPT tab open on the side. 15+ years of demand work plus an AI-native bias, in one accountable engagement. I write about LLM visibility on my blog.
A focused LLM visibility check shows where ChatGPT, Perplexity, Gemini and Claude mention you, where they cite competitors, and the highest-leverage fixes.
Check your LLM visibility →Operator-led · AI-native · B2B SaaS