How to get your SaaS recommended by ChatGPT

When a buyer asks ChatGPT "what's the best help desk software for a small SaaS team?", they usually get a short list of products, often with links. If you're not on that list, you miss a shortlist you never knew existed. This guide covers what ChatGPT draws on when it answers that kind of question, what a SaaS team can realistically do about it, and how to measure it without fooling yourself.

One honest caveat first: nobody outside OpenAI knows exactly how ChatGPT ranks or chooses products, and the behavior changes with model versions. Everything below is either from OpenAI's own documentation, from our own published data, or clearly labeled as general practice.

How ChatGPT finds products to recommend

ChatGPT can answer a buyer question in two broad ways.

From what the model already knows. Without searching, the model answers from patterns in its training data. Those answers lean toward products that have been written about a lot for a long time, and they can be out of date.

From a live web search. When ChatGPT decides current information would help (or the user turns search on), it searches the web and builds the answer from the pages it finds, usually with citations. OpenAI's help center says ChatGPT search rewrites your question into one or more targeted queries and sends them to third-party search providers, sometimes following up with more specific queries after reviewing the first results. OpenAI's launch post for ChatGPT search says it uses third-party search providers as well as content from partners, and its enterprise documentation names Bing as one of those providers.

Our own data shows both modes. In our AI rankings run on 26 October 2026, we asked a ChatGPT model with web search enabled 5 buyer questions in each of 20 SaaS categories, 100 answers in total. 83 of the 100 answers cited at least one source; the other 17 named products without citing anything.

The no-search answers are a useful warning. In one email marketing answer that cited no sources, ChatGPT recommended "Sendinblue" and "ConvertKit", names those companies replaced (they're now Brevo and Kit). Training data lags; the web is how you get current facts into the answer.

Step 1: Make sure ChatGPT is allowed to read your site

OpenAI runs separate crawlers for separate jobs, and you control them independently in robots.txt:

• OAI-SearchBot is the search crawler. OpenAI's docs say sites that opt out of OAI-SearchBot won't be shown in ChatGPT search answers (apart from navigational links), and recommend allowing it if you want to appear.
• GPTBot collects content that may be used to train OpenAI's models. Blocking it doesn't stop you appearing in search answers.
• ChatGPT-User fetches pages when a user's request needs it; OpenAI says it isn't used to decide what appears in search.

Practical checks:

1. Open yourdomain.com/robots.txt and make sure nothing blocks OAI-SearchBot (a blanket Disallow: / for all user agents counts).
2. Check your CDN or firewall. Bot-protection rules sometimes block crawlers that robots.txt allows. OpenAI publishes its crawler IP ranges if you need to allowlist them.
3. Make sure your important pages render their main text in HTML, not only after heavy client-side JavaScript.

Step 2: Get indexed in the search engines ChatGPT queries

Because ChatGPT search relies on third-party search providers, a page that isn't in those indexes is hard for it to find. As general practice:

• Verify your site in Bing Webmaster Tools and submit your sitemap. It's free, takes minutes, and Bing is the provider OpenAI names in its documentation.
• Verify in Google Search Console too. It's the same work, and Google powers Gemini and AI Overviews (see our Gemini guide).
• Keep a clean XML sitemap with your product, pricing, comparison and documentation pages.

Step 3: Show up on the pages ChatGPT actually cites

This is the biggest lever, and it's mostly not your own website. When ChatGPT searches "best X software", it reads what ranks for that kind of query: review articles, "best of" listicles, comparison sites, directories, and some vendor pages.

What our data shows:

• The 100 answers in our 26 October run linked 424 different websites (650 links in total, counting image and link cards). Only 204 of those sites were cited inline to back a specific claim; the rest appeared only as cards. Either way, there's no single gatekeeper.
• techradar.com was the most cited site: it appeared in 32 of the 100 answers, across 13 of the 20 categories. toolradar.com came next, in 14 answers across 9 categories.
• G2 appeared in 3 answers. Reddit and Capterra didn't appear in any answer in this run. That's one run of one model, so don't read it as "review sites don't matter". It does mean you should check which sources ChatGPT cites *for your category* rather than assuming.

What to do:

1. Find your category's sources. Ask ChatGPT your buyers' questions with search on and write down every cited domain, or look up your category in our AI rankings, which list the sources cited for each one.
2. Prioritize by repeat appearances. A site cited in several answers matters more than one cited once.
3. Get included honestly. For editorial "best of" lists, pitch the writer with a clear one-line positioning, a free account for testing, and real customer proof. For directories and comparison sites, claim and complete your profile. For review sites, ask happy customers for reviews; don't buy them or gate them.
4. Keep it current. Lists get updated. A product that was added last year can be dropped this year.

Step 4: Make your product easy to describe correctly

Models answer better when the facts about you are consistent everywhere. Think of it as entity hygiene:

• One name, everywhere. Use the same product name on your site, social profiles, directories and app marketplaces. If you renamed, say so plainly ("Kit, formerly ConvertKit") and update old profiles. Our ChatGPT answers still surfaced old brand names.
• One-sentence positioning. "[Product] is [category] for [audience] that [main difference]." Put it on your homepage, in your meta description, and in every directory profile. A buyer question is phrased in category terms, so the pages that match it need to describe you in those terms.
• Visible facts. Pricing, who it's for, integrations, and how it compares, as text on crawlable pages. Facts locked inside images or behind a login are harder for any crawler to read.
• Structured data that matches the page. Organization and SoftwareApplication schema with sameAs links to your official profiles helps machines connect the dots. It's not a ranking trick, just less ambiguity.

Step 5: Publish comparison and "best for" pages

Buyers ask comparative questions: "X vs Y", "alternatives to Y", "best X for agencies". Pages that answer those questions directly are the kind of thing search-based answers draw on.

• Comparison pages ("[You] vs [Competitor]"): be fair. Include where the competitor is the better fit. One-sided pages are less useful to readers and easy to discount.
• Alternatives pages ("[Competitor] alternatives"): list several real options, including yours, with honest notes.
• Use-case pages ("[Category] for [audience]"): if you're best for a specific segment, make a page that says exactly that.

Our data shows how much wording matters. In the email marketing category, one question asked for an "affordable email marketing software with good support". ChatGPT answered with five smaller products (MailerSpot, MailBluster, Sendra, Mailivate and MailWizz), and none of them appeared in the other four answers in that category. Narrow, specific questions open the door for smaller products. Write for the specific questions your best customers ask.

Step 6: Measure over time, not once

One answer tells you very little. ChatGPT's answers vary by wording, by run and by model version. In our 26 October data:

• Across the 20 categories we recorded 264 product-and-category pairs. 151 of them (57%) appeared in only one of that category's five answers.
• Only 9 products were named in all five answers for their category: Mixpanel, Amplitude and Heap (product analytics), Bitwarden, Dashlane and Keeper (team password managers), Buffer (social media management), and UptimeRobot and Better Stack (uptime monitoring).
• Being named often isn't the same as being named first. Brevo was named in 4 of 5 email marketing answers but never first; Mailchimp was named in 3 and came first in 2.

So measure it like a ranking you track, not a fact you check once:

1. Fix a question set. 10 to 25 real buyer questions in your buyers' words: "best", "alternatives to", "for [audience]", "cheapest", "easiest".
2. Track share of answers. How many answers name you, out of how many asked, and how that compares with your competitors.
3. Track position. Are you named first, or tacked on at the end?
4. Track sources. Which sites are cited when you're named, and when you aren't? The gap is your outreach list.
5. Re-run on a schedule. Weekly is enough to see trends without chasing noise.
6. Compare after changes. When you land a listicle placement or publish a comparison page, check whether the cited sources and your share of answers shift over the next few weeks.

What doesn't work

• Hidden text or prompt injection aimed at AI crawlers. It's against search engine policies, it can get pages dropped, and it isn't how answers are built.
• Fake reviews or paid placements dressed up as editorial. They break the rules of the review platforms and erode the trust signals you need.
• Expecting a special AI file to fix it. Good, crawlable, consistent content and third-party coverage do the work.

The short version

1. Allow OAI-SearchBot and make sure your CDN doesn't block it.
2. Get indexed in Bing and Google with a clean sitemap.
3. Find the sites ChatGPT cites for your category and get honestly included on them.
4. Describe your product the same way everywhere.
5. Publish fair comparison, alternatives and use-case pages.
6. Track a fixed question set weekly: share of answers, position, and sources.

ChatGPT is one of several AI answer engines buyers use. The same habits carry over, with some differences, to Perplexity and Google Gemini.