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.
- Why AI does not recommend youOur own dataThe work most teams do in response (schema, llms.txt, on-site FAQ blocks) cannot move the number, because the assistant is reading third-party pages it retrieved. We run the same measurement on Glotier every day, and read our own logs the same way: AI assistants already fetch our pages and refer real visitors.9 min read
- The best AI visibility toolsOur own dataWhat an AI visibility tool should actually do, every tool measured against it including ours, and the part you can check: assistants crawl these pages by name daily and referred 6 real visitors in a week.8 min read
- The best SEO toolsOur own dataThe suites are excellent at keywords, rank and backlinks, and almost none tell you whether an assistant names you when a buyer asks. The gap, what closes it, and our numbers: assistants sent 6 visitors in a week, 5 of them to our data pages.7 min read
- Where AI answers about software actually come fromOur own dataThe ranked list of pages the answers were built from, in our own category. Reddit was a source for 57% of them; below that it is other vendors' roundups, which is exactly the set to get into.8 min read
- Does Reddit affect AI search?Our own dataReddit was cited in 12 of the 18 buying answers we read in full, more than any other domain. Community forums outnumbered review directories 21 to 1 as the sources the assistants built from.9 min read
- Is SEO dead with AI search?Our own dataMeasurement instead of a take: Cloudflare says assistants sent us 6 visitors in one week, 3 of them from ChatGPT, and Semrush finds 17 of our pages already cited by AI. SEO is not dead, it is how you get retrieved in the first place.9 min read
- GEO vs SEOGEO does not replace SEO, it depends on it. The three things that genuinely differ, what stays exactly the same, and where the measurement says to move budget first.8 min read
- How to rank in AI OverviewsYou do not rank in one, you get cited by one. What that changes, which of the usual advice does nothing, and how to tell whether any of it worked.9 min read
- Can you train ChatGPT to recommend you?No, and it matters that you know why. You cannot train a model you do not own and your chats teach it nothing about your company. What actually changes an answer.8 min read
- Google and Microsoft give opposite AI search adviceGoogle says structured data is not required for generative AI search. Microsoft recommends it. Three topics, six verbatim quotes, and why the version the industry sells is stronger than anything either vendor wrote.7 min read
- Who actually blocks AI crawlers?Our own dataWe read the robots.txt of 259 domains assistants actually cite, expecting to find sites locking themselves out by accident. 235 allow every OpenAI agent. The study refuted its own hypothesis, so we published the disproof.9 min read
- Does llms.txt actually work?No assistant has confirmed reading one, and every checklist still opens with it. We publish one and it has not moved our number. When it is worth twenty minutes and when it is a distraction.7 min read
- What an AI visibility score measuresThere is no industry definition, so two tools can score the same product 34 and 71 on the same day. Four questions that separate a counted number from an invented one.8 min read
- How much does AI SEO cost?Software runs free to $399 a month and it is the cheap half. What the whole thing costs once you include the work, plus the two line items our measurement did not support.8 min read
- Can you trust these numbers?Our own dataSix tests you can run in ten minutes before paying any vendor in this category, including us, and a section naming the two we would fail.8 min read
- 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
- Who AI names in our own categoryOur own dataWe ran our own category through ChatGPT, Gemini and Perplexity. No leader yet: about a dozen tools named, most by just one assistant, and the answers came from a small set of sources. Here is the mix, and the proof AI already reads us.8 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
- Answer engine optimization (AEO)Our own dataAEO is being the answer an assistant gives, not just a link it shows. How it nests with GEO and SEO, the one lever that moves it (being in the retrieved sources), and our proof: assistants sent 6 real visitors in a week, each to a page built from our own data.8 min read
- Perplexity visibilityOur own dataHow Perplexity retrieves and cites (it shows its sources), how to check whether it names you with no tool, and how to get in. Of 259 domains assistants cite, only 7 block PerplexityBot by name.8 min read
- LLM SEOOur own dataLLM SEO is the same job as GEO and AEO: get retrieved and named by ChatGPT, Gemini and Perplexity. Why classic SEO still underpins it, and why one model is one opinion. Our own pages are already retrieved and cited, which is where it starts.8 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
- 66 days, 5 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
Who AI recommends, by category
A separate, growing series: one measured category at a time, the buyer questions put to ChatGPT, Gemini and Perplexity, who got named, and the exact pages the answers were built from. Each page carries the date it was measured because a recommendation set is only true on the day it was taken.
Browse all 241 measured categoriesOur own dataGrouped by theme, from sales and marketing to security and DevOps. Find your category and see who the assistants name.Reading is the slow way to find out. Ask the three assistants about your product instead.