measured AI discovery · verified in production
GEO OS measures how AI systems describe, cite and recommend your business with stated scope and uncertainty. It flags harmful or inaccurate answers, ties them back to evidence, helps teams approve a source correction, verifies the live page, and separates what was deployed from what actually changed afterward.
Early product. Foundation and initial pilot software are largely built; a completed real GEO pilot has not yet been established.
the expensive problem
A prospect asks an assistant what you cost, whether you are certified, which product supports a requirement, or how you compare with a competitor. If the answer is wrong, stale or biased toward a better-evidenced competitor, conventional analytics may never show you where the deal was lost.
AI discovery failures are not just “visibility” problems. They can change what a buyer believes about the company.
A single visibility score can hide the exact questions, markets, providers, missing observations and run-to-run variability underneath it.
the operating loop
GEO OS is being built around one auditable customer loop first. The wider roadmap waits behind it.
Record prices, plans, certifications, policies and other high-impact claims with dates, markets and evidence spans.
Run the frozen benchmark panel on the declared surface, locale and window, with scope and uncertainty attached.
False or damaging answers enter review with the raw evidence preserved. Competitive gaps remain opportunities unless they contain a false claim.
Connect the correction to an approved operation so the intended change and its evidence stay tied together.
Frontend Sentinel verifies that the corrected live page is actually deployed and readable before GEO OS starts reading an effect.
Report what was deployed, what metric moved, how strong the causal evidence is, and whether a business outcome was measured.
measurement you can defend
Every headline rate is explicitly conditional on the benchmark panel, AI surface, locale and measurement window. The prompt set is versioned, missing observations are shown, and no point estimate appears without its uncertainty.
Which prompts? Which surface? Which country? How many runs? Did refusals count? Did a provider outage alter the denominator? Did the prompt set change last week?
The report carries the valid-answer count, excluded outcomes, interval, panel coverage and version. If the expected effect is smaller than the current design can detect, GEO OS says so instead of drawing a confident trend line.
where the money is actually at risk
An assistant quotes an old plan, wrong starting price or unavailable package. GEO OS compares the answer with the versioned claim in force for that market.
A model says you lack SSO, SOC 2, an integration or a feature you actually support, or says you have one you do not. Either version can damage a high-value deal.
GEO OS distinguishes a legitimate recommendation gap from a harmful false claim, then preserves the source and prompt evidence behind the difference.
The assistant keeps citing an old article, directory or comparison page even after your owned source changed. That becomes a source problem, not a “write more keywords” task.
Noindex, robots, canonical, JavaScript-only rendering or a changed content path can remove the very evidence the retrieval system previously used.
LLM answers vary. GEO OS separates measured movement from random variation and provider-health problems before a team claims the campaign “worked.”
versioned claims registry
A price or availability statement can be correct in one market and wrong in another. Claims carry their market and effective dates.
GEO OS distinguishes what the company says from what the supplied evidence actually supports.
Old captures keep the claim version that was in force when they were observed, so trend and incident history remain auditable.
discovery incidents
Captured answer makes a regulated or unsafe claim about the brand. Evidence preserved immediately; human review required.
Answer contradicts an evidenced registry claim currently in force for the same market.
A relevant competitor recommendation is not treated as harm by itself. It becomes an incident only when a false claim accompanies it.
A demonstrably false statement does not become “more false” because it repeats. GEO OS opens a suspected incident when a severe capture deserves review, then uses reruns to estimate how prevalent the problem appears to be.
Cause stays evidence-backed. Timing can support a hypothesis (owned release, third-party source change, common provider shift), but “provider model change” is not asserted unless the provider disclosed one or the evidence actually establishes it.
strategist with receipts
The model does not invent percentages or totals. Quantitative statements come from the stored observations.
Evidence references are attached per claim so a reviewer can inspect the raw observation or source span.
If GEO OS cannot support a statement, the brief withholds it instead of filling the space with confident prose.
new in october 2026
On each Search Console import, GEO OS compares the pages and questions you track with an earlier period of the same length and columns. It alerts when clicks or impressions fall by 30% or more, from at least 20 clicks or 200 impressions, or average position worsens by 3 or more places. An overlapping import blocks the comparison, so the same days are never counted twice.
After each round of Google searches, GEO OS alerts when your rank falls 3 or more places, or a competitor moves above you, on both of the last two searches. One search alone never alerts, and an ongoing slip alerts once.
Before a correction or a hand-off is dispatched, a reviewer checks the exact content against the approved brief. Every factual claim needs an evidenced claim in force for the market, a covered requirement or a labelled reviewer assertion.
An approved brief's content goes to SEO OS 4.0 as a file with its brief version, approver and a fingerprint of the content. SEO OS places it as a page section, recrawls to confirm it is live and can roll it back. Its Search Console export comes back into GEO OS in one import.
Outcome reports keep the target page, the question across all pages and AI results apart. Each line names the measurement contract and registry version behind it, and its warnings travel with the exported report.
These features are built and tested on demonstration data. Live AI-answer and Google collection starts with the first pilots, so no outcome from them is claimed yet.
where the build actually stands
Against the defined software roadmap, GEO OS is now roughly 65% implemented. The core GEO product (Foundation through Connectors) is about 90% built, and about 10% of it is proven on real data (builder's estimate, 11 October 2026). These are implementation estimates, not production-readiness scores, and the reviewed records still do not establish live effectiveness.
Planning shorthand: Core GEO product 90% built. Defined long-term software roadmap 65% built. Live proof still outstanding.
What the latest builds do prove: correction durability, connector safety and enterprise foundations have advanced materially. What they do not prove: live effectiveness. The reviewed records still do not demonstrate the real model comparison, four A/A windows, held-out extraction accuracy, a completed owner-site pilot or two paid design-partner pilots.
the first commercial offer
The first pilot is intentionally narrow: one segment, one market/language, one primary AI surface, one benchmark panel and one approved source correction. The goal is to prove the full loop before expanding the platform.
Best fit for B2B software companies and consultants who want to understand how one high-value category or product is represented in AI-assisted discovery without pretending the entire market can be measured from a handful of prompts.
A measured baseline and a verified source correction. The AI-answer readout may still be inconclusive within the pilot window, and GEO OS says that before purchase rather than promising a guaranteed visibility lift.
Three clocks are reported separately: time to verified source correction, time to decision-ready readout, and, only where the evidence supports it, time to demonstrated outcome.
questions serious buyers will ask
No. Current v3 metrics are panel-conditional: they describe the named benchmark panel, AI surface, locale and time window. Population claims require a declared prompt population and sampling frame and are outside the current v3 contract.
AI answers vary. Repeated runs estimate response variability for the fixed panel. GEO OS reports intervals around rates instead of treating one response as a stable ranking.
The evidence is preserved and the item can enter suspected-incident review immediately when the claim is severe. Reproduction runs estimate how prevalent the problem appears to be; they do not determine whether the original false answer existed.
No. A relevant, accurate competitor recommendation is a competitive review case. It becomes a harmful incident only when the answer also carries a false or otherwise unsafe claim under the incident policy.
Not in the current pilot state. The approval, operation-hash and verification controls exist, but the working website execution connectors are still being built. The first corrections can ship through the site's normal deployment process and are labelled accordingly.
Not automatically. Readouts separate deployment, metric movement, causal grade and business outcome. Randomization or stronger quasi-experimental evidence is required before the product makes a strong causal claim.
No. GA4 AI-referral classification, CRM integration and business-outcome attribution are Phase 4 work. Current readouts can explicitly show “not measured” rather than inventing ROI.
The enterprise foundation has advanced: SSO, project permissions and regional-storage support are now in the software alongside tenancy, roles, audit, secrets, retention and recovery. SCIM, warehouse export and enterprise operational validation remain outstanding, so early enterprise use should still be handled as a design-partner pilot rather than represented as a fully proven mature platform.
the thesis
If AI is already part of how your buyers research pricing, products, providers or risk, start with the one fact or comparison you most need the machine to get right.
We email you when pilot places open. Only your address is sent to our mailing list, and you can unsubscribe from any email. Want a pilot now? Apply by email, or read the design-partner terms.