Use cases
Eight concrete situations where a GEO audit and fix delivery pay off, each with the symptom, what Noetio does about it, and the artifact you get.
Eight situations we see repeatedly. Each one lists the symptom as the buyer experiences it, what we actually do, and the artifact that lands on your desk. If yours is not here, the free check will tell you in a minute whether there is a problem worth auditing.
ChatGPT recommends your competitors by name
Buyers ask "best tools for X" and get a five-item list you are not on. You find out from a prospect who mentions it on a call, or never.
We run your category's buyer questions repeatedly across ChatGPT, Gemini and Perplexity, log every answer verbatim, and identify which sources drive the competitor recommendations. The audit ships the ranked plan to get into those answers; the Sprint ships the pages and the coverage.
Artifact: per-engine mention rates, the verbatim answers, and a source map showing exactly which third-party pages the engines pulled from.
AI tells buyers your pricing is something it is not
Gemini quotes a promotional price from 2023. ChatGPT says a feature you killed still exists. A buyer walks into a sales call already misinformed.
We log every factual error with the engine, the prompt, and the verbatim claim, trace each to its likely source (stale review profiles, old press, forgotten landing pages), and fix the sources engines actually read.
Artifact: the hallucination log, each entry with severity, root cause and correction path. The re-run shows which corrections propagated.
Your site renders as an empty shell to AI crawlers
The site looks fine in a browser. But it is a client-side JavaScript app, and the crawlers that feed AI answers read the raw HTML response: paragraphs of it are missing. The one-line check is in the crawler reference.
We identify which routes fail extraction, which engines are affected, and ship the rendering fix as a pull request to your repo.
Artifact: a route-by-route extraction report, before and after.
You own Google page 1 and are invisible in AI answers
Your SEO is excellent, so leadership assumes AI visibility follows. It does not: 62 percent of AI Overview citations point to pages outside the organic top 10 (Ahrefs, 2026, 863,000 keywords). The inputs are different.
We measure the actual gap between your Google position and your AI answer presence, then work the levers that matter for engines: citable evidence on the page, extractable structure, and presence in the sources engines read.
Artifact: a side-by-side of organic rank versus per-engine AI visibility for the same queries.
Perplexity's answers cite threads that never mention you
Perplexity leans heavily on Reddit and community threads. The threads that dominate your category's answers name your competitors and not you.
We find the exact threads engines cite, draft answers in your voice with a human approving every post, and pitch the vertical publications that appear as recurring citation sources.
Artifact: the cited-thread list with citation frequency, plus drafted responses awaiting your approval.
German buyers ask in German, engines answer from English sources
We are DACH-native, and this one is structural: engines often translate German queries internally and answer from English sources, which disadvantages German-only content. Almost nobody measures it.
We audit both language surfaces separately: the same buyer questions in German and English, per engine, and prescribe which content needs a bilingual evidence pass.
Artifact: a per-language, per-engine visibility split for the same intents.
The board asks whether any of this is measurable
You cannot get budget for AI visibility without numbers, and single runs of a non-deterministic system are not numbers.
Every claim we publish carries repeated runs and confidence intervals, and every engagement ends in a re-run of the original queries: same prompts, same engines, before and after. The protocol is public, so your analysts can check the method before you spend anything.
Artifact: the day-30 delta report, per engine, with the queries that did not move reported alongside the ones that did.
An agency needs the audit as evidence for its client
You run SEO or content for clients and keep getting asked about AI visibility. You need a deliverable under your brand that survives scrutiny.
We run the audit, you present it. The methodology page carries the defense of every number in front of a skeptical client team. Details for agencies are on the agencies page.
Artifact: the full audit report, white-label conversation on the call.
What every case has in common
The loop is identical everywhere: audit, fix, re-verify. The fix categories page lists every class of finding these cases produce, and the sprint page shows what shipping them looks like week by week.