How to get your SaaS recommended by ChatGPT

Someone types "best tool for" and then describes, almost word for word, the thing you spent a year building. ChatGPT names four products. None of them is yours.

That's a different kind of invisible from page two of Google. There is no page two. The assistant gives one answer, names a handful of tools, and the person closes the tab.

We run a hand-checked directory, so we read product descriptions all day. Founders who write to us about how to get your SaaS recommended by ChatGPT nearly always start in the same place: their own website. They rewrite the homepage, add some schema, wait. Nothing happens, and they decide the whole thing is nonsense.

Your website matters. It's just not where the decision gets made.

Quick answer: ChatGPT recommends tools the wider web describes the same way, repeatedly. Write one plain sentence saying what your product does and who it's for. Put that exact sentence on your site, in directories, in review profiles, and in the roundups buyers already read. Earn honest mentions, then check back monthly.

What ChatGPT is actually doing when it names a tool

Two things feed an answer, and they behave very differently.

The first is training data: the text the model learned from, a snapshot of the public web up to some cutoff date. You can't edit it. You can only add to whatever the next snapshot picks up.

The second is live retrieval. When ChatGPT searches, it fetches current pages and writes an answer from them, usually with citations. Perplexity works this way by default, and Gemini and Google AI Overviews do their own version on top of Google's index. OpenAI publishes documentation on the crawlers it uses, worth ten minutes if you've ever blocked bots without checking which ones.

Here's the part most founders miss. In both cases the model is summarising what sources agree on. It isn't evaluating your product. It's reading what other people wrote about it, looking for a consistent story.

If four separate sites describe your tool as "invoicing for freelancers who bill by the hour," that's a story. If one says invoicing, another says financial operations platform, and your homepage says "the future of getting paid," there's nothing to summarise. You get skipped, not because the product is weak, but because it's hard to describe.

That is generative engine optimization (GEO) for startups with the acronym taken off. Be describable. Then be described, in a lot of places, the same way.

Ask ChatGPT before you change anything

Don't rewrite a word yet. First find out what the assistants currently say about your category.

Write 15 to 20 prompts a real buyer would type. Not keywords. Prompts, the way a tired person types at 4pm.

best [category] for [specific kind of user]
alternatives to [the market leader in your space]
cheapest [category] for a team of three
[competitor] vs [competitor]
what do [job title] use for [specific task]

Run every prompt in ChatGPT with search on, in Perplexity, and in Gemini. Paste the answers into a spreadsheet and record two things: which tools got named, and which sources got cited.

That second column is what pays for the afternoon. Those cited sources are the pages you need to appear on. Not "sites like them." Them. You'll usually find the same ten or fifteen URLs doing most of the work: a few roundups, a review profile, a comparison page on a competitor's domain, often a Reddit thread that ranks.

What the audit tends to turn up

This is an illustrative example, not real results from any assistant, and your own category will look different. The point is the shape of it.

"best invoicing app for freelancers" turned up three well-known incumbents and one smaller tool, cited from two "best of" roundups and a review site category page.
"alternatives to the big invoicing tool" turned up four alternatives, two of them small, cited from a comparison page on a competitor's own site and a review site profile.
"what do freelance designers use for invoicing" turned up two tools and a spreadsheet template, cited from a Reddit thread and a niche community forum.
"invoicing tool that tracks hours automatically" turned up one tool, named with a caveat, cited from the tool's own feature page and a directory listing.

Do this once, properly, and you finish with a to-do list far more specific than anything an agency will sell you.

Write the one sentence everything else hangs off

One sentence. What it does, who it's for, in words a stranger uses.

"Invoicing for freelancers who bill by the hour."

That's the whole thing. No "platform." No "reimagining." No three-clause mission statement.

We see this in a lot of submissions: a tagline that looks great in 48px and tells a stranger nothing. "Billing, finally sorted." Sorted for whom? Doing what?

Test it on someone outside your space. If they can repeat it back and get it roughly right, it works. If they say "so what does it actually do?", rewrite it. We went deeper on the mechanics in our guide to writing a tool description that people and machines both understand.

This sentence is now the thing you paste everywhere. The same words, every time. Founders resist that, because it feels lazy or like duplicate content. It's neither. Consistency across independent sources is the signal. Variation is noise.

Say the same thing everywhere

Make a list of every place your product gets described by someone who isn't you:

Your homepage, title tag and meta description
Every directory you've submitted to, and every review site profile
Your LinkedIn company page
Crunchbase and similar company databases
Your GitHub organisation, if you have one
App marketplaces, launch platforms and integration listings

Go through them one at a time and check four fields: name, one-line description, category, pricing.

Pricing is the one everybody forgets. We regularly see listings that still say "free" for a product that moved to $19 a month two years ago. When an assistant pulls a stale price, you look overpriced or dishonest, and the person who asked never finds out it was a mistake.

Name consistency matters more than you'd expect. If you're "Flowdesk" in some places and "Flow Desk" in others, and a larger company uses the other spelling, you've donated your mentions to them. Pick one spelling and use it forever. Then set a quarterly reminder: once the list exists, the recheck is a twenty minute job.

Get into the roundups AI already reads

Your audit handed you a list of cited pages. Now work it.

Most "best [category] tools" posts are kept up by small publishers, niche bloggers, or SaaS companies building a content moat. They all update those posts, because an out of date roundup stops ranking. That's your opening.

Email the author. Keep it short. Give your one sentence, say which section you'd fit in, and say honestly why a reader might pick you over what's listed. Offer a free account. Don't ask for a link, ask to be considered.

Our honest read: you'll hear back from a minority, and a chunk of those will quote you a sponsorship price. Paid placement in a well-read roundup isn't the worst use of a small budget, but check first whether that post ever gets cited. Plenty of roundups rank beautifully in Google and never surface in an AI answer.

Comparison pages are the other half. If someone has published a head-to-head between two of your competitors, your product belongs in the "other options worth considering" section at the bottom. Those sections get cited constantly, because they're the only part of the page with any breadth.

Directories: which ones actually help

We run one, so weigh this accordingly. Submitting to 200 directories in a weekend does almost nothing. We've written before about whether directory backlinks still do anything, and the answer hasn't changed much: the link value is mostly gone, referral traffic is thin, and most of those sites are link farms no assistant will cite.

What helps is a smaller number of listings on sites that are genuinely read and quoted. A decent listing gives an assistant a clean third-party description of your product, on a structured page, next to similar tools, with a category attached. That's real context, and the kind of page a roundup author raids when updating their post.

Three checks. Does the directory rank for its own name plus your category? Does it ever appear as a source in your audit prompts? Are listings read by a person, or auto-approved the second the form submits?

Then write the listing properly. Don't paste your homepage hero copy. Use your one sentence, pick the category honestly rather than the one with the most traffic, and give real pricing. Our walkthrough on getting your SaaS listed in directories covers the submission side.

If you'd rather not do it by hand, ListingBott automates directory submissions, which suits a founder who'd rather spend the hours elsewhere. PublishYourSaaS is a directory aimed specifically at indie SaaS. Both sit in our marketing and SEO category.

Make your own site easy to quote

Your site won't get you recommended on its own. It decides whether an assistant can describe you correctly once it finds you.

Answer the question in the first paragraph

Assistants lift short, self-contained passages. If a page opens with 300 words of throat-clearing, there's nothing clean to quote. Lead with the answer, then explain it underneath.

Build the pages that actually get cited

Three kinds earn their place:

A comparison page. Your tool against a named competitor, written fairly, including the cases where the competitor is the better pick. Written honestly, these get cited. Written as a hit piece, they get ignored.
A pricing page with real numbers. Not "contact us for a quote." If the price isn't on the page, nobody can quote it, and the assistant will guess from a three-year-old directory entry.
An FAQ that answers questions people genuinely ask. Two to four sentences each. Not keyword bait.

Publish something only you have

You're sitting on usage data nobody else can see. A small, clearly explained finding from your own product beats another "10 tips" post, because original numbers get cited when there's nowhere else to get them. Be honest about the sample size.

If writing isn't your strength or your time, Metrela produces SEO articles aimed at both Google and AI assistant visibility, and SEObot handles keyword research and content on autopilot. Both suit a founder short on hours rather than standards. Read every piece before it publishes.

Keep the site crawlable. Server-rendered text, nothing important behind JavaScript, and a robots.txt that isn't quietly blocking the crawlers you want. Google's guidance on AI features in Search and its list of crawlers are a sensible baseline.

Reviews and forums, without being that founder

Review sites feed AI answers directly. They're structured, updated often, and they carry sentiment an assistant can summarise.

So ask customers for reviews. Not a campaign with a prize draw. Just an email to someone who's had a good month with your product. A handful of detailed reviews beats fifty "great tool!" ratings, because the detailed ones contain the words real buyers use. Amplaud is one option if you want that running without you remembering to do it.

Reddit and niche forums are the other half, and this is where founders ruin things for themselves. Don't start a thread about your own product. Don't reply to every "what should I use for X" with a link and an emoji.

Answer the question properly, including when the honest answer is a competitor. Mention your tool where it genuinely fits, and say you built it. People are fine with that. They're not fine with being sold to in a thread they started for help.

It's slow, and it's the only part of this that compounds without a budget, which is why we've argued it's the central move when launching a side project with no audience. To find the threads worth answering without living in six feeds, What's Trending does social listening.

One rule, and it isn't negotiable: never buy reviews. Platforms catch them, they get stripped, and a profile full of removed reviews reads worse than an empty one.

The checklist: how to get your SaaS recommended by ChatGPT

Copy this somewhere you'll see it. Work down it in order.

Write 15 to 20 real buyer prompts for your category.
Run all of them in ChatGPT, Perplexity and Gemini. Log the tools named and the sources cited.
Write one sentence: what it does, who it's for.
Put that sentence on your homepage, title tag and meta description.
List every site that describes your product. Fix name, description, category and pricing on each.
Pick the five most-cited sources from your audit and email each author.
Get listed in directories that are genuinely crawled and cited. Write the listing properly.
Publish a fair comparison page and a pricing page with real numbers.
Publish one piece of original data from your own product.
Ask ten happy customers for a detailed review.
Answer five questions a week in a forum where your buyers already are, without pitching.
Re-run the prompt set on the first of every month and log the results.

How to tell if it's working

Same prompts, same three assistants, same spreadsheet, once a month. That's the whole system.

Track three columns: whether you were named at all, roughly where in the list, and which sources got cited. The third column moves first. A new roundup or review profile turns up as a citation several weeks before your name appears in the answers themselves. That's the early signal.

Set expectations now. This takes weeks to months. Live search results shift fairly quickly once a new page is indexed, but what a model knows without searching doesn't change until the next model trains, and nobody outside the lab knows when that is.

Answers also vary run to run. Ask the same question twice and you can get a different set of tools, so don't read anything into one result. Look at the pattern across the whole prompt set, month over month. If nothing has moved after three months and the cited sources haven't changed either, your problem is that you're still not in the sources. Go back to the outreach.

What we see founders get wrong

A tagline instead of a description. "Work, reimagined" is not a description. We get submissions like this constantly, and usually end up writing the real description ourselves from the screenshots.

A different description in every place. Each one rewritten so it doesn't feel repetitive. All it achieves is making the product harder to summarise, which is the opposite of the goal.

Chasing the trick. Every few months a new theory goes round: a magic schema property, a file to drop in your root, instructions hidden in your HTML aimed at the model rather than the reader. Most of it wastes a weekend, and the hidden-instruction stuff can get you removed from the sources you need.

Buying reviews, or mentions on sites nobody reads. Money for nothing, and occasionally money for a penalty.

Giving up in week three. The most common one by a distance.

FAQ

How long does it take to get recommended by ChatGPT?

Expect weeks to months, not days. Pages that live search can reach, like a new roundup or an updated review profile, can start showing up as cited sources within a few weeks of being indexed. What the model knows without searching only changes when a newer model is trained, and that timing isn't public.

Does normal SEO still matter for AI search visibility for SaaS?

Yes, because most assistants retrieve from a search index before they answer. Pages that rank well are more likely to be retrieved and quoted. The difference is that you're now trying to be mentioned on pages you don't own, rather than only ranking the pages you do.

Will adding schema markup get my SaaS into AI answers?

Schema helps machines parse your pages and it's cheap to add, so add it. It won't make an assistant recommend you on its own. No amount of markup compensates for a product that nothing else on the web describes clearly.

Do directory listings help get your startup mentioned in AI answers?

A good listing on a site that gets crawled and cited gives an assistant a clean third-party description of your product on a structured page, next to similar tools. That's useful context. A listing on a site nobody reads does nothing, and no directory, ours included, can promise that an assistant will name you.

Should I pay for a GEO or AI SEO agency?

If you're a small team, run the prompt audit yourself first. It takes an afternoon and it tells you exactly which pages matter in your category. Most of the work after that is outreach and writing, which you can do. Pay for help when you've run out of hours, not when you've run out of ideas.

What if ChatGPT says something wrong about my product?

Find the source. It's usually an outdated directory entry, an old review, or a roundup written before you changed your pricing. Fix the sources you control and ask the ones you don't to update. There's no form that corrects the model directly.

What to do this week

Block two hours. Write your 15 prompts and run them. That's day one, and it will be uncomfortable reading, which is the point.

Day two: write your one sentence, then fix it on your homepage and your three or four most visible profiles. Day three: email five roundup authors from your audit. Five, not fifty.

That's the first week. Everything after it is repetition, and the founders this works for treat it as maintenance, not a project with an end date. If you'd like your tool in front of people looking for exactly what you built, you can submit it to ToolVerified and a person will read it before it goes live.