Make Sense to AI Assistants
Imagine someone asking an assistant to recommend a specialist, a shop or a service provider. Rather than scrolling through search results, they receive a concise response. To be included accurately, a business needs information that the assistant can find and make sense of.
Our approach begins with the material you already publish. We examine service explanations, business listings and underlying page data, then address the gaps that may keep your name out of a relevant answer.
We begin with questions someone might genuinely ask:
AI Visibility Check
We ask different assistants how they would answer questions about services like yours. Then we inspect any reference links, missing mentions and inaccurate details. Instead of assuming what AI knows, we have a starting record and a clearer sense of what to improve.
Where the Information Breaks Down
When a recommendation seems incomplete, we look for problems in what the assistant can read and verify. These are frequent starting points.
A Sensible Improvement Plan
Good search foundations make this work easier. We assess what is in place and shape a written plan around the actual gaps:
Our audit covers the website and outside records. When sources already agree, we can focus on smaller improvements.
We identify the pages and public details that need updating. A written scope shows what the quoted price covers.
Search engines and assistants need readable pages and reliable details. Better foundations benefit both ways of finding you.
We revisit the original queries as systems change. That way, improvements are informed by what assistants actually say later.
See Your Business Through AI
Have a question about how you appear? We can try a few real-world prompts together on a call and discuss the results.
AI Search, Explained
Are AI results and SEO the same?
They are related, but they answer different questions. SEO helps a page appear in a search listing. AI visibility asks whether an assistant includes your business when explaining choices. Good descriptions and dependable source material are important to both.
Do you test more than ChatGPT?
Yes. We use prompts in ChatGPT, Gemini, Perplexity, Claude and Copilot. They are not identical systems, so comparing their answers reveals different gaps.
Can anyone promise an AI mention?
There is no dependable way to force a mention. We can fix incorrect records and strengthen the information available about you, while the assistant remains responsible for its own answer.
Should I work on AI visibility now?
If your audience is already asking assistants for suggestions, a review makes sense. Even when mentions are limited, the work on accurate listings and better explanations helps regular search too.