Guides

Getting named in AI answers

When someone asks an assistant what to use, a handful of products get named and the rest do not exist. These are the mechanics of that, written from runs we did and numbers we can show, including the ones that do not flatter us.

• ChatGPT brand monitoringWhat can honestly be monitored and what cannot, how to do it by hand this afternoon, what the tools cost, and why checking once tells you almost nothing.11 min read
• Three assistants, less than a third agreementOur own dataGiven identical sources, ChatGPT and Gemini agree on 64% of what they recommend. Across all three, 47% of products are named by exactly one, so checking a single assistant shows you about 60% of the field.12 min read
• AI visibilityThe category term, defined properly: what AI visibility means, the four parts it decomposes into, what moves it, and what does not whatever you have been told.13 min read
• Gemini AI and GlotierWhat Gemini is good at, what you can actually do with it, and how to tell whether it recommends your product. Model lineup quoted from Google's own docs.13 min read
• What sources AI actually citesOur own data40 buying questions put to ChatGPT, Gemini and Perplexity, every source recorded. Reddit fed 95% of the answers. G2 fed 5%, and Capterra fed none.12 min read
• Generative Engine OptimizationWhat GEO actually is, how assistants pick the products they name, and the four-week plan we run on our own site.9 min read
• How to get mentioned in AI searchThe practical version: the five source types that feed ChatGPT, Claude, Gemini and Perplexity, and how to get into them.7 min read
• 61 days, 2 ChatGPT citationsOur own dataOur own numbers, including the ones that are unflattering: what got us cited, what Google's AI Overview did, and what three days of SEO work changed.6 min read