Dashboards tell you where you appear. Not what to do next.
A visibility score is not a strategy. We needed an instrument that names what to do next, on real data.
We use our visibility tracker to test buyer prompts (grounded in your data) across major AI engines to understand where and how you're showing up. You get a data advantage from our work across B2B SaaS companies, we get clarity.
Tracking AI visibility across
Providing B2B companies with a data advantage.
We tried the tools. We didn't like them so we built our own. Clients get view-only access while we run the strategy.
A visibility score is not a strategy. We needed an instrument that names what to do next, on real data.
LLMs answer the same question differently every time. Most tools don't show statistically significant results. We use the math to find what is real.
Being positioned badly can hurt more than not being mentioned at all. We score answers for accuracy and depth, then fix how you show up.
We ground prompts in your call transcripts, win and loss notes, and real buyer language. No leading questions. No flattering prompts.
Oldschool agencies still operate from spreadsheets. We're building a new operating model that gives richer insights and faster results.
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Seven signals that decide what AI cites. Tested against 1M+ live answers a month.
99% of agencies suck. But you guys do not. One month in, our referrals from ChatGPT are up 29%. And we can finally see why.
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“There are orgs like HubSpot and Ramp with dedicated AEO teams. For everyone else (except my competitors), there's Discovered Labs.”

“You guys make sure our name pops up whenever someone is thinking about talent assessment. The tracker shows exactly when, and where.”

Most AEO dashboards report rate moves without bounding the noise. Our tracker has to clear three checks before we call a movement real to avoid being fooled by randomness.
We test each buyer prompt multiple times to bound the noise. The credible interval shows us how confident to be in any movement before we act on it.
Sampled from your GSC, support, and Reddit signal. Not hand-picked. We strip leading prompts that artificially inflate mention rate.
The change has to clear a strict statistical bar, and it has to hold week over week. No false-positive feeds.
The competitor set LLMs serve in your category is rarely the one you assume. We configure it with you in onboarding then track share of voice per engine, week by week.
Drill from pillar to topic to individual prompt to see where you show up and where competitors lead. The next strategy decision becomes data-led, not a hunch.
We identify the subreddits, threads, and third-party sources LLMs cite when answering questions in your category. The Reddit, PR, and editorial plan we implement is informed by what is moving AI answers, not just by what ranks in Google.
We score every LLM response across multiple dimensions including features, pricing, differentiators, and funnel stage. Drift in how LLMs describe you surfaces before it influences a buyer's shortlist.
Each feature is a slice of what our team uses every day to get you results.
Real buyer prompts (not hand-picked) tested every 5 days across every model. We see when LLMs name you and when they pick a competitor.
Recommend a CRM for a 12-person sales team. Budget is tight and we need something up and running this week.
Same prompt across ChatGPT, Claude, Perplexity, Copilot, and Google AI Overviews. Locale-aware. No blind spots.
Reddit, reviews, YouTube, blogs. We see which sources LLMs trust in your category, ranked by citation volume.
Your share of voice tracked over time, with the gap to category leaders visible at a glance.
We score how LLMs describe you across multiple dimensions including features, pricing, differentiators, and funnel stage. Head-to-head against every tracked competitor.
Get pinged the moment a competitor publishes new content, refreshes an old page, or breaks into a listicle you weren't in.
Still curious? Book a call and we'll walk through it on your brand.
We configure both with you during onboarding, then frequently revisit. Competitors come from you during onboarding as well as our own research and what companies you appear next to inside LLMs.
Prompts are sampled from your GSC queries, support tickets, customer call transcripts, and the subreddits your category lives in. Every prompt then clears three hygiene checks before it enters the bench: coverage (is it a real buyer question), confound (does it accidentally trigger an unrelated category), and brand-anchor (does it lean toward you or a competitor).
30 minutes with our team. We'll walk you through where AI search has your brand today, the topics your buyers are asking about, and what to do about it. Across AI assistants and Google. Whether you work with us or not.