The AI search blind spot is now a social media problem
If you run social for a brand, you’ve spent the last two years optimizing for feeds. You’ve chased watch time on TikTok, tuned carousel hooks for Instagram, and A/B-tested LinkedIn openers. But a growing slice of brand discovery now happens somewhere you can’t see: inside ChatGPT, Gemini, Perplexity, and the AI overviews layered on top of Google. Someone asks an assistant “what’s the best budget CRM for freelancers” and your brand either shows up in the answer or it doesn’t — and you have no dashboard for it. That gap is exactly what a new Product Hunt launch called Visiby is trying to fill, and it’s worth paying attention to even if you never buy it, because it reframes what “visibility” means for the accounts you run.
Visiby, built by Ash Bagda, is an AI search visibility tracker. Per the maker’s own launch description, it helps teams “see where they appear across AI search, understand which competitors are being recommended, and find opportunities to improve their visibility and citations.” That’s the pitch. Below is my read on where it fits, what social operators can steal from its framing, and where I’d stay skeptical.
What problem this actually solves (and why it’s adjacent to your job)
Traditional SEO tooling — think Ahrefs, Semrush, or Moz — measures rankings on a search engine results page. You get position, impressions, click-through rate, and backlinks. None of that maps cleanly onto an AI assistant that synthesizes an answer from a handful of sources and may never surface your domain at all, or may mention your brand without linking you. That’s the structural change Visiby is built around, and it’s the same shift that’s quietly reshaping how people find creators and products.
The maker frames the product around three jobs: see where you appear across AI search, understand which competitors get recommended, and find opportunities to improve visibility and citations. In the launch thread, Tehreem Fatima of Likely AI calls AI search optimization — sometimes shortened to GEO, generative engine optimization — “quickly becoming just as critical as traditional SEO,” and describes tracking brand citations across models like ChatGPT and Gemini as “a massive blind spot for most marketing teams.” I think that framing is correct, with one caveat I’ll get to later: it’s a blind spot precisely because the underlying systems are opaque and change weekly.
Why social media operators should care more than they think
Here’s the connection that most social teams miss. The content you publish on social is increasingly the raw material AI assistants cite. A well-structured YouTube explainer, a LinkedIn post with a clear thesis, a Threads thread that answers a specific question — these get ingested, summarized, and surfaced in AI answers. If you’re already repurposing long-form video into short clips and text posts, you’re effectively doing GEO work without calling it that. Tools like Visiby just make the output measurable. So even if you’re a solo creator who’ll never pay for a brand-monitoring seat, the mental model matters: your social content is now part of a citation graph, not just a feed.
How it differs from the incumbents you already pay for
The obvious comparison is the SEO suite you already run. But the more interesting comparisons are the newer AI-visibility trackers that have cropped up, because that’s the category Visiby is actually competing in. In the launch comments, Anuki Robakidze asks the sharpest question on the page: “how different is it from trakkr, thats the one i use today.” That’s the right question, and the maker’s response isn’t captured in the scrape — so I can’t tell you how Visiby differentiates on engine coverage or query generation from the source alone. If you’re evaluating, that’s the first thing to test.
What I can say from the source: Visiby’s stated focus is AI search specifically, across assistants like ChatGPT and Gemini, with an emphasis on competitor recommendations and citation opportunities. That positions it closer to a category of “AI visibility” or “GEO” tools than to a social scheduling suite like Buffer, Hootsuite, or Later. It is not a publishing tool. It doesn’t schedule posts, it doesn’t manage inboxes, and it doesn’t touch Metricool-style analytics for your social channels. If you’re looking for a scheduling layer, this isn’t it — and I’d be wary of anyone pitching it as a replacement.
Where it could complement your stack: use your existing scheduler for distribution, and a visibility tracker for the “did this actually move the needle on discovery” question. That’s a workflow I’d genuinely test.
The query-generation question nobody answered
Aurangzeb A. Durrani of Kill Ping asked the most operationally important question in the thread: “How does it generate queries for my brand?” That matters because the entire value of an AI-visibility tool depends on whether it’s probing realistic, high-intent prompts — the kind a real buyer would type — or generic brand-name queries that tell you nothing. The source doesn’t include the answer. My take: this is the single feature I’d stress-test first, because a tracker that only asks “what is [brand]” will make you feel good and teach you nothing.
Where the math breaks
Even a perfect AI-visibility tracker runs into a hard problem: AI answers are non-deterministic. Ask the same question twice and you can get different sources, different phrasing, different recommendations. That means any “visibility score” is a snapshot of a moving target, not a stable metric like a Google ranking. I’d treat these numbers as directional signal, not gospel — the same way I treat engagement rate as a proxy rather than a truth. If a vendor sells you a precise percentage without explaining sampling methodology and refresh cadence, be skeptical.
What creators and social teams can borrow from this framing
You don’t need to buy Visiby to benefit from the shift it’s pointing at. Here’s what I’d actually do, based on how I run content workflows:
- Audit your citation surface. Pick ten questions a customer would ask an AI assistant about your category. Run them through ChatGPT, Gemini, and Perplexity manually. Note whether you appear, who does, and what sources get cited. That’s a free version of what Visiby automates.
- Turn your best social explainers into citable assets. A YouTube video with a clear on-screen answer, a LinkedIn post with a definitive take, a blog post with structured headers — these are the formats assistants tend to pull from. Repurposing isn’t just for reach anymore; it’s for retrieval.
- Track competitors, not just yourself. The competitor-recommendation angle is the most useful part of Visiby’s pitch. Knowing which rivals get named in AI answers tells you more about your positioning than any single ranking report.
- Keep your social and GEO efforts in one content calendar. If you’re producing a video, cut the transcript into a post, a thread, and a short — and make sure the underlying claim is clear enough for an AI to quote correctly.
Why TikTok creators should care more than LinkedIn ones (for now)
This is my opinion, not a sourced fact: short-form video is less directly citable by text-based AI assistants today, because the signal lives in audio and visuals that most retrieval systems handle poorly. LinkedIn and blog-style text, by contrast, are easy to ingest and quote. So if you’re a LinkedIn-first operator, GEO is already your problem. If you’re TikTok-first, you have a bit more runway — but the platforms are racing to make video searchable, and CapCut-style auto-captioning plus platform transcripts are closing that gap fast. I’d bet text-heavy creators feel this first and hardest.
Where my judgment says it falls short
The launch thread surfaced real friction, and I want to be fair about it. Krešimir Galić of Likely AI raised a concrete inconsistency: the Starter description says daily tracking, the feature list says weekly refresh, the listing mentions Gemini, and the pricing page lists a different engine lineup. He asked directly which engines and refresh schedule are included in Starter today. That’s a documentation mismatch, not necessarily a product flaw — but it’s exactly the kind of ambiguity that makes buyers wait. The source doesn’t show a resolution, so I’d treat engine coverage and refresh cadence as unverified until the maker clarifies.
Other open questions from the source: pricing is not disclosed in the scrape, user counts and revenue are not disclosed, and the specific models tracked beyond ChatGPT and Gemini aren’t confirmed. The maker’s own framing — “traditional SEO tools don’t show you what AI assistants are saying about your brand” — is a fair positioning statement, but it’s promotional by nature, so I’d attribute it as a claim rather than accept it as established fact.
Who this is NOT for: solo creators who publish on one platform and don’t have a brand to defend. If your entire funnel is a single Instagram account and word-of-mouth, a GEO tracker is overkill. It’s also not for teams looking for scheduling, analytics, or inbox management — that’s a different tool category entirely. And it’s not for anyone who needs a fully deterministic, auditable metric right now, because AI search doesn’t offer that yet.
What I’d watch / test next
If you’re curious, here’s a concrete week-one plan. First, run the manual ten-question audit I described — it costs nothing and gives you a baseline before you evaluate any tool. Second, if you’re considering Visiby or a competitor like trakkr, ask the vendor two questions before you pay: which engines are tracked, and how often results refresh. The launch thread shows those answers aren’t obvious from the listing. Third, watch whether the maker responds to Galić’s documentation question — how a team handles a public inconsistency tells you a lot about support quality. Fourth, connect this to your existing stack: keep Buffer or Later for publishing, and treat AI-visibility tracking as a separate measurement layer, not a replacement. Finally, start treating your social content as citable source material — because whether or not you buy a tracker, the assistants are already reading it.
