Channels/AI Visibility00

Find out what ChatGPT tells your buyers about you.

A growing share of your category research now happens inside an AI assistant, and nothing in your analytics shows it. We poll the four models your buyers actually use with the questions they actually ask, record every brand mentioned and every source cited, and turn the gap between you and the sites getting cited into work you can ship.

Get Early Access See how it works
4
Models polled daily — ChatGPT, Claude, Gemini, and Perplexity
100%
Of cited URLs classified as you, a competitor, Reddit, or another source
0
Guesswork about which pages to fix — every page carries a GEO score
The problem

The answer engine is picking your shortlist, and you cannot see it.

When someone asks an assistant "what should I use for X?", the reply names three or four products and cites a handful of sources. That reply is the shortlist. It is generated fresh each time, it never appears in Google Analytics, it leaves no referrer, and it is assembled from pages you almost certainly did not write. Most teams find out they are missing from it by accident, months later, from a prospect who mentions it in passing.

No referrer and no keyword report — AI answers are invisible to every analytics tool you own
Typing the question into ChatGPT yourself once tells you nothing about the trend or the other three models
You can see that a competitor is recommended, but not which source taught the model to recommend them
No way to tell whether the article you just published moved anything at all
Why this is different

A measurement loop, not a screenshot.

Anyone can ask ChatGPT about your category once. The value is in asking four models the same set of buyer questions every day, attributing every citation, and wiring the result into the channels that change the answer.

01

Four providers, every day, same questions

ChatGPT, Claude, Gemini, and Perplexity are polled on each of your tracked queries on a daily cycle, and providers run independently so one bad API key or rate limit never blanks the whole run. You get a mention matrix of query by provider, plus a mention-rate trend rather than a single anecdote.

Others: one model, checked manually, screenshotted.
02

Competitor share of voice, per model

Every domain the models cite is counted and attributed against your competitor set and your own domains, producing a share-of-voice table with a per-provider breakdown. You can see that a rival owns Perplexity while you hold your own in Claude — which is a different problem with a different fix.

Others: a mention count with nothing to compare it against.
03

Citation gaps, mined not guessed

When two or more competitors show up in at least a fifth of the runs for a query and your own cite rate stays under that, it is flagged as a competitor-owned gap with the citations that prove it. We also pull question-shaped headings out of the pages that do get cited, so the gap arrives as a specific thing to write.

Others: a list of prompts and a suggestion to "create more content".
04

The Reddit citation bridge

The models cite Reddit constantly. When one of them cites a thread while answering a question about your category, we resolve the post and drop it straight into your Reddit match queue with the query that surfaced it, and notify you. Those are the exact threads shaping what the models say — and you can reply in them today.

Others: a citation list you cannot act on.
05

A GEO score on every page you own

Each page is scored out of 100 on the structural features that get content quoted: length, FAQ blocks, comparison tables, outline depth, and schema.org markup. Run it across your whole inventory and you get a ranked list of pages to rewrite instead of an opinion about what LLMs like.

Others: a checklist blog post about "optimising for AI".
06

Cross-referenced against Search Console

Your ranking Google queries are matched to your tracked AI queries by embedding similarity, so paraphrases still line up. The output is the list that matters most: pages that win on Google and get ignored by the models — your highest-leverage rewrites, because the authority is already there.

Others: AI tracking in one tool, SEO in another, no join.
How it works

Describe your product once. The loop runs daily.

01

We build the BRAIN

Onboarding produces a structured profile of your product, positioning, ICP, niche, and competitor set. Everything downstream reads from it, and you can edit it at any time. Your competitor list in particular is what makes share of voice meaningful.

02

Buyer questions get generated, not brainstormed

We generate long-tail conversational queries a prospect from your ICP would actually type into an assistant, spread across tool roundups, comparisons, how-to, best-practice, and troubleshooting intent. Each one comes with the reasoning behind it. Edit them, add your own, deactivate the ones that miss.

03

Four models get polled daily

Every active query goes to ChatGPT, Claude, Gemini, and Perplexity on a daily cron. Responses are cached and stored, so you get history rather than a live lookup you have to re-run to remember.

04

Mentions detected, citations classified

Each response is scanned for your brand and every cited URL is resolved to a domain and classified as yours, a competitor, Reddit, or another source. That is what feeds the mention matrix, the citation leaderboard, and the share-of-voice table.

05

Gaps get mined and queued

A miner reads the accumulated runs for competitor-owned queries and pulls question-shaped headings from the pages winning them. Reddit citations are pushed into your Reddit queue in the same pass, with a notification.

06

Your pages get scored and re-tuned

A whole-inventory pass fetches every published page and scores its structure out of 100. Ninety days of citation history is aggregated into patterns — which page templates get cited, and the length and structure percentiles of the pages that do.

07

A digest lands every Monday

New gaps, suggested rewrites, and fresh citations from the week, summarised in one place, so the loop produces a to-do list instead of another dashboard you have to remember to open.

What you get

A number for the channel nobody else can measure.

A trend line, not a vibe
Daily mention rate across four providers, so you can say whether AI visibility went up this month and by how much.
The names beating you, per model
Share of voice against your real competitor set, broken out by provider, because the leaderboard differs between ChatGPT and Perplexity.
The sources the models trust
A ranked citation leaderboard of the domains being quoted about your category — including the ones you had never heard of.
Gaps that arrive as briefs
Competitor-owned queries and question-shaped heading gaps, backed by the citations that prove them.
Reddit threads worth answering today
Every thread an LLM cites about your category, routed into the Reddit queue with the query that surfaced it.
A rewrite list ranked by leverage
GEO scores across your inventory, cross-referenced with Search Console so pages that already win Google come first.
Under the hood

Everything that ships with the channel.

Tracking
ChatGPT, Claude, Gemini, and Perplexity adapters
Daily polling of every active query
AI-generated buyer queries across five intent types
Brand mention detection per query, per provider
Mention matrix and 30-day mention-rate chart
Per-provider isolation so one failure never blanks a run
Citations & competitors
Every cited URL classified: you, competitor, Reddit, or other
Citation source leaderboard by domain
Competitor share of voice with per-provider breakdown
Add a newly-discovered domain to your competitor set in one click
Reddit citations bridged into the Reddit match queue
General-blog citation view for the publications worth pitching
Acting on it
Competitor-owned and long-tail citation gap mining
GEO score out of 100 on every page, across the whole inventory
Ninety-day citation pattern aggregation by page template
Search Console cross-fit by embedding similarity
Weekly Monday digest of gaps, rewrites, and new citations
Feeds the SEO channel, so the gaps become published articles
FAQ

The questions people actually ask.

Which AI models do you track?
ChatGPT, Claude, Gemini, and Perplexity — the four assistants B2B buyers actually use for product research. Every active query is sent to all four on a daily cycle, and each provider is polled independently, so a rate limit or an expired key on one never costs you the day's data from the others.
What is GEO, and is it different from SEO?
GEO is generative engine optimisation: getting your content quoted by AI assistants rather than ranked in a list of ten blue links. The inputs overlap heavily with modern SEO — clear structure, real attribution, matching intent — but the unit of success is different. Google rewards a page for a query; an assistant quotes a passage while composing an answer. That is why we score pages on structural features like FAQ blocks, comparison tables, outline depth, and schema markup, and why the same platform runs both channels.
Where do the tracked questions come from?
We generate them from your BRAIN — long-tail, conversational questions someone in your ICP would realistically type, spread across tool roundups, comparisons, how-to, best-practice, and troubleshooting intent, each with the reasoning attached. They are yours to edit: add your own, reword the ones that are close, deactivate the ones that miss.
How do I actually get mentioned more often?
Three levers, all of which run on the same platform. Close the citation gaps — the queries where competitors are cited and you are not — by publishing content aimed at them. Raise the GEO score on pages you already own, starting with the ones that already win on Google. And show up in the third-party sources the models are quoting, which in most categories means Reddit threads and a short list of publications. The tracker tells you which lever is worth pulling; it is not a switch we can flip for you.
How does the Reddit citation bridge work?
When one of the models cites a Reddit thread in an answer about your category, we resolve the post, add it to your Reddit match queue tagged with the query and the provider that surfaced it, and send a notification. If the thread is already in your queue from keyword monitoring, the AI citation is appended to it instead of creating a duplicate. Those threads are directly shaping what the models tell your buyers, and unlike most citations you can go and answer them today.
How is this different from Profound, Peec, or Otterly?
Those are dedicated AI-visibility trackers and they measure the same thing well. The difference is what happens after the measurement. A gap here becomes a mined brief, a scored page, an article published to your CMS, and a Reddit thread in your queue, all inside one platform reading one profile of your product. A standalone tracker hands you a chart and leaves the execution to whatever tools you buy next.
How long before the numbers mean anything?
The first run gives you a snapshot the same day: who is mentioned, who is cited, and where you sit. Trends need a couple of weeks of daily runs, and gap mining needs enough runs per query to tell a pattern from a coin flip. Moving the numbers takes longer than measuring them — plan in months, the same as SEO.
Do I need to connect Search Console for this?
No — mention tracking, share of voice, gap mining, and the Reddit bridge all work without it. Connecting it adds the cross-fit: your ranking Google queries are matched to your tracked AI queries by embedding similarity, which surfaces the pages that win on Google and get ignored by the models. Those are usually the cheapest wins available, so it is worth the two minutes.
The other channels
SEO
AI-Optimized SEO
Fewer articles, picked from your real Search Console data — written, published, indexed, and refreshed before they decay.
Learn more
Reddit
Reddit monitoring
Catch the thread where someone asks for what you sell — within ten minutes, in one queue, and reply as yourself.
Learn more
AI Content Studio
AI Content Studio
Photoreal brand characters, product stills, and short-form UGC scripted from your positioning — yours to download and post.
Learn more
Cold email
Cold email
Sequences written from your positioning, A/B variants from the first send, and replies classified so you only open the ones that matter.
Learn more
Referrals
Customers as a growth engine
Share links, AI-suggested rewards, and NPS-peak nudges with full attribution. Shipping after launch.
Coming soon
Waitlist

Find out what the models say about you.

We are onboarding a small group of B2B SaaS teams. Drop your email and we will reach out when access opens.

No spam. We’ll email you when access opens.