Your buyers now ask AI tools for recommendations. GEO makes your brand the one they name.
Buyers ask an AI tool what to use, and act on the answer. GEO makes your brand the one it names.
Illustrative. We shape the sources these models trust so your brand shows up in the answer.
More buyers now open ChatGPT, Perplexity or Gemini and type "what is the best tool for X." They read the answer, trust the names in it, and shortlist from there. If the model does not mention you, you are not in the room.
An illustrative example of a ChatGPT-style reply that names your brand. The goal of GEO is simple, get your product into answers like this one.
Illustrative example. We influence what models say, we do not control it, and we never fake a result.
Generative models do not pick names at random. They lean on the data they were trained and retrieve on. These are the signals that move whether you get named.
Models answer from what they were trained on plus what they pull live at answer time.
The more credible places say your name in the right context, the more likely a model echoes it.
"Best of" roundups and review sites are exactly what models cite for recommendations.
Clear, well-structured pages are easier for a model to read, quote and cite.
If your name, category and claims conflict across the web, models hedge or skip you.
An llms.txt and tidy markup tell models what you are and what to quote.
GEO is not one trick. It is steady work across every source a generative model reads before it answers.
Get your brand named, accurately, across the sites LLMs train and retrieve on.
Earn placement in the comparison and best of content these models pull from.
Answer-first pages, schema and llms.txt so models can quote you cleanly.
One coherent set of brand facts everywhere so models trust and repeat them.
Comparison and alternatives pages that both rank and feed AI answers.
Target the real questions buyers ask AI about your category.
GEO is measurable if you run the right prompts and track the answers over time. Here is what we report.
We screenshot and log the actual answers. You see the real prompts and the real replies, not a made-up score.
Every stage has a deliverable you can see. Here is how a GEO engagement runs.
We run buyer prompts across the major models and record exactly where you show up and where competitors win.
We align your brand facts everywhere and clean the machine-readable layer so models read you correctly.
We earn placement in the lists, reviews and articles these models actually pull from.
We publish comparison, alternatives and use-case pages structured for both ranking and AI citation.
We re-run the same prompts monthly, see what moved, and double down on what is working.
A real document, yours to keep even if you never hire us. Here is what we hand over.
No 12-month handcuffs. The audit comes first so we both know the scope before any retainer.
The full document with real prompts and real answers. Yours to keep even if you never hire us.
Scoped to your goals and competition. Cancel any time. We earn the next month every month.
Exact numbers depend on your goals and how competitive your space is. The audit tells us both before you commit a rupee or a dollar.
We would rather tell you no now than take your money and chase answers that will not move.
Nobody honest can guarantee that ChatGPT names you. Models change, and so do their answers. What we guarantee is the work, full transparency, real before-and-after prompt tests, and no lock-in. If we are not earning our keep, you walk.
"I started this agency charging six dollars for my first project. I am not going to promise you that ChatGPT will name your brand. What I will do is the real work to earn it, and show you the actual answers, before and after."
Pulls from training data plus live browsing and cited sources.
Retrieves live results and cites sources directly in the answer.
Leans on Google's index and the same signals as AI Overviews.
Uses training data plus connected web search.
We also keep your brand facts consistent across the web and add machine-readable signals like llms.txt. We influence what models say, we do not control it.
Organic compounds fastest when the whole stack works together, and when it is wired to your paid. Here is where to go next.
A free audit, no pitch. You get me on the call, not a sales rep. I will show you exactly what to fix and whether we are the right team to fix it.