Observatory
Bringing it into focus…
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Observatory
Bringing it into focus…
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Observatory — it watches what the AIs tell your buyers
Observatory asks the four major AI assistants your buyers’ real questions — every week — and keeps a dated record of who they recommend, what they claim, and which pages they trust.
built for your business · $10 test budget on our infrastructure
Runs by itself, every week
Questions out, answers saved, snapshot sealed, report delivered — no hand on the wheel.
Built for one business: yours
Tuned to your market, wired into how you work, owned by you. Not a subscription.
Working now — try it
Watch it run below, see a recorded session, or try it on your brand with a test budget we fund. No card, ever.
How it works
Every week, Observatory runs the six steps below on its own — read them in ten seconds, or watch a full weekly check play out, replayed from a recorded run.
A real weekly check, recorded — it plays as you arrive.
Every week, your buyers' real questions go to the four major AI assistants.
A true story
When Danylo first checked how the AI assistants talk about his own studio, a leading tracker put him at #52 for his own specialty — behind 51 other names. That number is real, and it’s why Observatory exists: you can’t fix a list you can’t see. The chart on the right is the kind of record it keeps — week after week, sealed and dated.
Rank measured by a third-party tool, June 2026. Every number in the chart traces to a saved answer.
This chart is the example record — pravda.systems, our own brand, tracked weekly so you can explore a working Observatory before pointing it at your own. Browse its full record →
The dashboard
No marketing jargon. Four plain questions, answered weekly — and every number opens to show the answers behind it.
Week by week
The list
The truth check
7 accurate · 22 inaccurate · 44 unsure — of 73 claims checked
The sources
What it can do
Two honest lists — 11 parts running in the product today, and 12 more we build for your business on request. Nothing here is one-size-fits-all.
In the product today
The running core — where a block has a public surface, click through and see it working in the example record.
Register the brand, the competitor set, and the real questions buyers ask an AI — or describe the business in your own words and let the setup be proposed for you, confirmed line-by-line before anything runs.
The best-known tools in this category all start with a setup step like this — yours is shaped around your own business.
Set this up for my brandOn schedule, every question goes to ChatGPT, Claude, Gemini, and Perplexity; every answer is saved word-for-word.
This weekly asking loop is the shared backbone of every serious tool in the space — here it runs for you.
See it in the exampleThe record
AI answers change constantly and are archived nowhere. Observatory files a sealed, dated snapshot every week. Nobody — not us, not a competitor, not a bigger tool — can rebuild the weeks you didn’t record. The history is yours, and it compounds.
Each plate below is one week’s sealed snapshot. The code on it is the week’s tamper-evidence fingerprint, computed from the saved answers — if any answer were ever changed, the code would no longer match.
1 weeks of record · 45 answers preserved
Jul 11
48 answers
Sealed · cbe58fab
keeps growing…
What a check costs
The asking and the reading are done by AI. Budget and Quality are available in the app; Private is built on request for your own servers. Every run shows its cost.
Runs on our own model subscription. A full weekly check costs cents.
Frontier models for maximum reading fidelity — metered, capped, shown plainly.
Built on request for your own servers. Your questions and history never leave your house.
Every run is metered against a budget with a hard stop — it can never overspend. You never pay inside the app; access and budgets are granted personally.
A one-off visibility benchmark costs a few hundred dollars and describes one moment. Observatory watches every week, keeps the history, and hands you the fix list.
Get it built — free test run
This system already runs — it isn’t a landing page for something that doesn’t exist. We build and hand over a version tuned to your business, and you get $10 of test usage on our infrastructure first — on our example brand or on your own. Invite codes come from Danylo, personally.
Three lines is enough. A real person reads every one.
Same conversation, faster. No form required.
No card, no checkout, ever. An invite grants a small, owner-funded test budget — nothing more.
Already have an invite code?
Each answer is read: which brands were recommended, in what order, said how, citing which pages — with the evidence sentence shown next to every reading.
Reading answers for who got named is standard across the category; ours shows you the exact sentence behind every call.
See it in the exampleEvery run files a dated snapshot that can never be edited or backfilled — the record only grows, and it's yours.
No rented tool gives you this — the record only stays yours because the whole thing is built for you.
See it in the exampleHow often the AIs name you (vs. each rival), where you land in the list, whether what they say is true, which pages earn the citations — with every number clickable through to the saved answer behind it.
The leading tools all ship a dashboard like this — this one is stripped of jargon and every number opens to its proof.
See it in the exampleWhat the AIs claim about your brand, checked: accurate, wrong, or "we weren't sure — read it yourself."
No off-the-shelf tool checks the claims for you the way this does; it exists because the build is yours.
See it in the exampleA plain report to your inbox and to download: where you stand, what changed, and the 3–5 things to fix next, in priority order.
The bigger tools are moving toward a "what to do next" report — here it reads like a consultant's letter to you.
Set this up for my brandThe live run view: each assistant being asked, each answer being read, the cost ticking, the snapshot filing — nothing hidden.
Nobody in this category lets you watch the work happen — that openness is the whole point of building it yours.
See it in the exampleThe living map of everything watched for you — questions, answers, rivals, claims, cited pages — so you see the volume being handled at a glance.
Other tools tell you the scale in words; this one shows you the whole picture at a glance.
Set this up for my brandBudget and Quality are selectable now and priced to the choice. Private is built on request for your own servers, where nobody else sees your data.
No rented tool lets you pick the engine like this — it only works when the system is your own.
Set this up for my brandOne click: what a run cost, how every number was computed, and the raw answers behind it, word for word.
Some tools have been caught showing made-up demo numbers; this proves every figure against the real answers instead.
Set this up for my brandBuilt for your brand, on request
Proven patterns in this category we tailor and add when you commission a build — not in the product yet, and honestly marked.
The moment your share falls or a rival overtakes you on a question — a heads-up to email/Slack, not a wait for the weekly report.
Add Copilot, Grok, Meta AI, DeepSeek, Google AI Overviews/Mode — wherever your buyers move next.
The same questions run per country/language, tracked side by side.
When a tracked competitor starts winning new questions or appears in new categories — flagged with the evidence.
The fix list upgraded from "what's wrong" to "here's the edit, on this page of your site" — drawing on the get-cited playbook (IndexNow, llms.txt, crawler-readable rendering).
Track how the AIs answer per buyer type ("startup founder" vs "corporate IT manager" ask differently).
The record flowing into the tools you run: spreadsheet/BI export, a data feed for your analysts, delivery into Slack/Teams.
A chat over your own history ("when did rival X overtake us on pricing questions?") — fluent in your whole back-file, not just this week.
The entire system on your infrastructure with open models — your questions, answers, and history never leave your house.
Mine what buyers actually ask (search consoles, support inboxes, sales-call notes you provide) into the question set — instead of guessing.
Is your site even readable to the AI crawlers? A concrete audit (rendering, llms.txt, IndexNow, structure) with fixes — the supply side of getting cited.
Run all of it across a client roster: per-client records, per-client reports, one console.