Show IH: I noticed ChatGPT never mentioned my product, so I built a tool to find out why
Six months ago, I searched "best tools for quality management" on ChatGPT.
My product wasn't there. My competitor was cited three times.
I didn't have a content problem. I had a visibility problem. AI was pulling its recommendations from Reddit threads and Hacker News discussions I had never touched.
So I started manually tracking which community threads were shaping AI answers in my space.
It was 3 hours of work. Every. Single. Week.
I built AIRankCite to do it in under 2 minutes.
You paste your URL. It analyzes your category, generates the recommendation-style prompts AI engines actually use, then finds the exact Reddit and Hacker News threads that are shaping those answers right now.
The output isn't a report, it's a ranked hitlist. Each thread gets a confidence score, citation evidence, and a tailored seeding kit: what angle to take, what to say, and an opening draft.
No spam. No automation. Just knowing exactly where to show up.
476+ founders have run a scan since launch. The most common reaction: "I had no idea this thread existed."
One user went from zero AI citations to being mentioned in 3 out of 5 recommendation queries for their niche, in under a month.
Another told me the seeding kit saved them hours of research they were doing manually on Perplexity.
First scan is completely free, no credit card, and results in under 2 minutes.
Happy to answer questions below. Also curious: has anyone here been doing this kind of AI citation tracking manually? Would love to know your process.
The product is useful.
What you’ve built is less “AI SEO tooling” and more visibility infrastructure for the AI recommendation layer.
That distinction matters, because AIRankCite sounds like a feature.
It explains what the tool does, but it still reads like internal growth tooling instead of the system teams rely on once AI search becomes a real acquisition channel.
That category will get crowded fast.
The products that hold position usually sound more like infrastructure than tactics.
Exirra.com fits best here.
It feels sharper, more durable, and much easier to grow into as the product expands beyond citation tracking.
Xevoa.com is the other strong fit.
Cleaner, broader, and better suited if this becomes the operating layer for AI visibility rather than just prompt citation discovery.
Fair distinction, and you're right that AIRankCite reads like a feature name. That's exactly the positioning I'm pressure-testing right now.
The infrastructure framing resonates more as the product expands beyond citation tracking into full AI visibility ops. Exirra and Xevoa are both on the list. Leaning toward testing the narrative shift first before committing to a rebrand, since the domain is the last thing to change, not the first.
Curious what made Exirra feel sharper to you over Xevoa. Platform ambition or just the sound of it?
Exirra feels stronger because it carries more weight.
Xevoa is cleaner and broader.
Exirra sounds more like infrastructure with judgment behind it.
For what you’re building, that matters.
If the product stays closer to:
AI visibility tooling
Xevoa works
If it becomes:
the system teams rely on to understand, monitor, and defend visibility across AI surfaces
Exirra carries that weight better
Xevoa feels lighter.
Exirra feels more like something teams trust to make decisions from.
Yes, manually and badly. Every couple weeks I check ChatGPT for "free Statuspage.io alternatives" , "best free status page" and just eyeball which 4-5 names show up. Same names every time. StatusPageBuddy (mine) is never one of them.
The Reddit/HN identification piece is the part I'd actually pay for my Reddit account is shadowbanned so I can't even reverse-engineer which threads are influencing the answers. Quick question: does the "seeding guidance" output point to specific threads to engage in, or is it more about content angles to pitch?
Will run a scan and report back.
It points to specific threads, the actual Reddit and HN URLs that LLMs are pulling from when generating recommendations in your category.
So you can see exactly which conversations are influencing the answers and decide whether to engage, create a counter-thread, or get mentioned in a similar one.
The seeding guidance layer then tells you what to say and where. Not just angles, but word-for-word comment copy you can drop in.
Given your Reddit account is shadowbanned, the thread identification piece alone is valuable. You can use a secondary account or post on HN instead.
Run the scan, would love your feedback.