What we’re actually building to keep AI answers honest about your product.
Builder radar · Updated Jul 2026
Directions, not deadlines
When something ships, it moves left. Nothing sits in Now unless it runs in production today, and every card there is backed by stored answers you can open. Next is in active development; Future is honest exploration. See how we measure
Running today for every project. Nothing lands here until it actually works.
ChatGPT, Claude, Gemini and grounded open models answer your buyers’ real questions every day. Every answer is stored word-for-word, with its engine, timestamp and cited sources.
No score, chart or alert exists without a real stored answer you can open and read. A sanitizer throws out junk before it can ever become a verdict.
See exactly who the engines recommend instead of you, how often, and where you rank in your category, all read straight from the stored answers.
The sources an engine cites when it recommends a rival, and the specific page you’d need to earn that citation for yourself.
When an engine states something false about you, or mixes you up with another product, you get an alert. High-severity claims are re-checked across independent models before they carry a confidence label.
The moment a competitor enters or leaves a buyer’s answer, or a new source starts feeding one, it reaches your channel. We report the change; we never claim we caused it.
Each lost answer becomes one concrete, prioritized play. When a tracked answer changes after you ship, you get the before/after receipt. You decide what ships; we never fake-ship on your behalf.
In active development. Committed, but shipped only when it earns a spot in “Now”.
Premium engines run on your own API keys, so every tier stays honest about cost and limits instead of quietly throttling you.
Turning the existing white-label share links and report emails into branded reports that send themselves on a cadence you set.
The same movement tripwire that already posts to Slack, opened up so you can pipe changes into your own tools the instant they happen.
Directions we’re validating. Honest maybes, not dated promises.
Sampling how the same question gets answered in different regions and languages, so visibility isn’t assumed to be one global number.
A read API for your visibility data to sit alongside the MCP tools that already ship today, so it can live in your own dashboards and agents.
Spotting the wobble in an answer before it flips against you, so a loss becomes something you catch coming rather than after the fact.
Run one honest AI-visibility report on your brand. Every number is backed by an answer you can read.