AI recommendations
We ask OpenAI, Gemini, and Perplexity for recommendations in your business category and report whether you appear and which competitors do. Each query and answer is dated and documented.
We ask real customer questions on ChatGPT, Gemini, and Perplexity, then record whether your business appears and which companies are mentioned instead.
It's one look at the answers today, not a promise about future recommendations.
We ask OpenAI, Gemini, and Perplexity for recommendations in your business category and report whether you appear and which competitors do. Each query and answer is dated and documented.
We inspect llms.txt, AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), and structured data — technical foundations that can make public content easier for machines to access and interpret.
Titles, descriptions, headings, sitemaps, and canonical signals support conventional search, machine discovery, and clear summaries.
We inspect visible credibility cues such as SSL, contact information, legal pages, and social proof.
Google PageSpeed on mobile and desktop — slow or broken pages create friction for visitors and crawlers.
The exact websites AI answers cite as sources — where you’re listed, where competitors are, and whether your own site is one of them.
A summary of the measured scan categories, shown with the checks behind it. It is not a probability, an AI rank, or a guaranteed predictor.
AI answers can change. Our managed service checks a set of questions each week, reviews the website and cited sources, and includes monthly content work.
15 agreed customer questions asked every week on ChatGPT, Gemini, Perplexity, and Claude. Each answer is saved word for word with its cited sources.
A monthly review of competitors, cited sources, and technical checks, turned into a ranked action plan.
One content deliverable a month: a new page or article, or a substantial update to one you have. Code changes are quoted separately.