Short answer
AI engines recommend the software they can back up with pages they've read: your own pages that answer the buyer's exact question, plus third-party pages that name you. To show up, make sure AI crawlers can reach your site, write short self-contained answers to the specific questions your buyers ask, and get listed where engines already look. Then re-ask the same questions over a few weeks, because answers vary run to run.
Why doesn't ChatGPT mention my software when people ask for recommendations in my category?
ChatGPT usually skips a software company in category recommendations for one of three reasons. First, it can't read the site: OAI-SearchBot is the crawler ChatGPT search uses, and a site that blocks it in robots.txt or at the CDN drops out of ChatGPT search (GPTBot is only for training). Second, the site never answers the buyer's question in words that match it, so the page isn't picked when ChatGPT searches. Third, no independent pages name the company, and engines lean on third-party lists and reviews when they recommend. Small sites feel this most: in Outrank's panel, 67% of sites with fewer than 50 pages Google could see had zero AI citations, while none of the 110 sites with 400 or more pages had zero. That's correlation, not proof, but it points to the fix. Check crawler access first, then publish pages that answer specific buyer questions, then earn mentions on the lists ChatGPT already cites for your category.
How long does it take for GEO changes to show up in ChatGPT and Perplexity answers?
There's no reliable public number for how long generative engine optimization (GEO) changes take to appear in ChatGPT or Perplexity answers, and anyone quoting a fixed timeline is guessing. The first gate is discovery: a new or changed page has to be crawled and indexed before an engine's search step can retrieve it, so request indexing in Google Search Console and Bing Webmaster Tools when it ships. The second problem is noise. Muck Rack's October 2026 report found that when the same prompts were re-run the same day, only 41% of the domains ChatGPT cited repeated, against 94% for Perplexity. So one check a week after a change tells you very little about ChatGPT. Re-ask a fixed set of buyer questions several times per engine, compare them with questions you didn't touch, and judge the change over weeks, not days. Read why AI citations disappear and return.
Is AI visibility optimization worth it for a SaaS with under $1M ARR?
AI visibility work is worth it for a SaaS under $1M ARR if buyers in its category ask AI for software picks and the company can win specific questions, not the broad "best [category]" one. Broad prompts tend to go to incumbents. In a maxaeo panel of 1,248 B2B software prompts across eight engines, smaller challenger brands got 14% of recommendations on generic category prompts and 38% once the prompt named a use case. A small SaaS that owns a narrow use case has a real opening there. The cheap first steps cost time, not money: allow AI crawlers, answer your top buyer questions on your own pages, and get listed on free directories. It's not worth it yet if you can't name the questions your buyers ask, or if nobody in your category uses AI to shop. Measure first by asking those questions in the engines yourself, several times each.
How should a vertical SaaS company show up when buyers ask AI for software recommendations?
A vertical SaaS company should show up in AI recommendations for the questions that name its industry, like "best CRM for a small law firm," not the general category. Those are the prompts where a specialist can beat a horizontal giant, because the buyer added a constraint the big brand doesn't answer directly. Build one page per vertical question cluster that states who the product is for, what it does for that industry, and how it compares with the general tools, in plain words a buyer would search. Put the answer in a short self-contained passage near the top: Peec's October 2026 reconstruction found Claude passes only about 1,900 characters of a typical page to the model that writes the answer. Then get named on the industry lists, associations and review sites the engines already cite for that vertical.
What is the difference between SEO and generative engine optimization for SaaS?
The difference between SEO and generative engine optimization (GEO) for SaaS is what you're trying to win. SEO aims for a high spot in Google's ten blue links. GEO aims to be one of the few companies an AI engine names, or one of the pages it cites, when it writes a single answer. Much of SEO still helps GEO, because AI engines search an index before they answer, so pages that are indexed, fast and clearly written get retrieved. Read how much a Google ranking carries over. But GEO weighs other things too: whether a short passage answers the exact question on its own, whether third-party pages name you, and how each engine behaves, since ChatGPT, Claude, Gemini and Perplexity cite different sources. GEO is also measured differently. Instead of rank, you track how often each engine names you across repeated runs of the same buyer questions.
FAQ
Can anyone guarantee my SaaS gets recommended by ChatGPT?
No. Nobody controls what AI engines say, and results vary by category, competition and run.
Do I need a paid tool to start?
No. You can ask your buyers' questions in each engine yourself, repeat each a few times, and write down who gets named and which links get cited.
Where does Named fit?
Disclosure: Named (named.khanex.ai) is ours. It's a done-for-you AI visibility service that tracks how often ChatGPT, Claude, Gemini, Perplexity, Grok and Muse name a company for its buyers' questions, then changes what those engines read.