How to get AI assistants recommending you, without spamming Reddit
AI assistants don't browse the web like people do. They lean on a short list of sources you can be in. Here's the zero-budget version of showing up.
Ask ChatGPT for "a simple analytics tool for a solo founder" and it names five products with total confidence. If yours isn't one of them, the usual advice arrives fast: get on Reddit, work the Hacker News threads, reply to everything.
If that's not you, good news. It's also not how the answer gets built. When an assistant recommends products, it's drawing on a surprisingly short list of source types, and most of them are places you can simply be listed, no persona required.
Where the answers actually come from
| Source type | Examples | Can you get in for free? |
|---|---|---|
| Alternative directories | AlternativeTo, SaaSHub | Yes, create the listing |
| Review platforms | G2, Capterra | Yes, free vendor profile |
| Launch platforms | Product Hunt, the indie launchpads | Yes, launching is free |
| Entity databases | Crunchbase, Wikidata | Yes, basic profile |
| Comparison articles | "X vs Y", "best tools for Z" | Yes, on your own blog |
| Community threads | Reddit, HN | Only by participating |
Notice that the community row is one row. The rest is structured data about products, and creating a truthful listing for your own product is just... cataloguing. Nobody thinks the company describing itself on G2 is astroturfing.
You don't need to join the conversation. You need to be in the catalog the conversation is fact-checked against.
The zero-budget sequence
- 1
List yourself as an alternative
On the alternative directories, file your product as an alternative to the big incumbent in your category. "Alternatives to [giant]" is one of the most common product questions assistants get, and they lean on these directories heavily to answer it.
- 2
Claim the review platforms
A free vendor profile with accurate category, pricing, and description. These sites dominate "best X tools" answers in every assistant, and an absent product can't be ranked.
- 3
Launch where launching is the point
A product launch on a launch platform is expected self-promotion, not spam. Even a quiet one creates a permanent page about you on a heavily-crawled, high-authority site.
- 4
Write the comparison pages yourself
"You vs the incumbent," honestly, on your own blog, including where the incumbent wins. Assistants answering "X vs Y" cite whoever actually wrote the comparison. Almost nobody does this, so the field is empty.
- 5
Make sure the machines can get in
None of this works if AI crawlers are blocked at your front door. Check your robots.txt and your CDN's bot settings before anything else.
Be honest in the listings
The temptation is to write each profile like a billboard. Resist it. Assistants cross-reference sources, and the product whose own description matches what everyone else says about it is the product that gets repeated. Wild claims in your G2 profile don't survive contact with your actual pricing page; they just make the model less certain about you, and uncertain entities get dropped from answers.
How you know it's working
This is the genuinely new part of marketing in 2026: the feedback loop is invisible by default. An assistant recommends you in a private chat, someone clicks through (or just types your name into a browser later), and your analytics files it under miscellaneous. Meanwhile the crawls that feed those recommendations never appear in browser-based analytics at all.
- ✓AI crawlers start hitting your pages after the listings go live
- ✓Referral visits from chatgpt.com and perplexity.ai appear, small at first
- ✓Your product starts appearing when you ask the assistants your category question
- ✓Branded searches tick up from people who heard your name in a chat
That loop is what usrPeek is built to close: it tracks AI crawler activity server-side, separates AI-referred visits from the noise, and its AI Monitor asks the assistants your category questions every week and tells you when you start showing up. Do the listings this week. Then watch the machines find you.
See what your visitors actually do
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