GEO scan to fix
Find what AI answer engines miss on your site. Then fix it in an afternoon.
Buyers ask an AI before they ask a vendor, and the answer quotes one or two sources. A free scan of ten pages shows whether yours is one of them and why. Launch Studio then turns each finding into a task with an owner and ships the fix, with a person approving every step.
Cited, or invisible
Google AI Overviews, ChatGPT search, Perplexity and Copilot do not rank ten links. They pull passages from pages that state an answer plainly, name an author, carry a date and back their claims with sources, then attribute the answer to one or two of them. Every other page in the category is absent from that conversation.
Generative engine optimization, GEO, is the work of becoming one of the sources an engine trusts. It overlaps with technical SEO, because the same crawler-facing basics decide whether a page is eligible at all, and it extends SEO with content structure, authorship and citation density. Most of the gap is fixable. The hard part has been getting the fixes shipped.
Step one
The free scan: ten pages, six domains
Enter up to ten pages from one site and a work email. A six-digit code opens the results in a minute or two. No account, no call. You get a score and grade for the site and for each domain, and an issue log that names who fixes each row: development, authoring or platform.
Technical foundation
Canonicals, robots and indexing directives, HTTPS. Whether a page is eligible to be read at all.
Schema and structured data
JSON-LD presence and validity, so an engine can tell what the page is about.
Content structure
Landmarks, heading order and answer-first writing: sections that open with the answer.
E-E-A-T signals
Authorship, experience and trust markers an engine uses to decide whom to quote.
Content freshness
Visible and machine-readable dates, so an answer engine knows the page is current.
Citation density
Sources, statistics and attribution. Claims with evidence get cited; bare claims do not.
Step two
From finding to live, in one tool
One click turns the findings into tasks, each with a definition of done tied to the rule that raised it. A Dev Agent builds the fix on a branch, a QA Agent checks it, and a person reviews and approves at each gate. In the recorded session a person acted at ten points over two hours, most of them under a minute. The rest was the agents working or reporting back.
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01
Scan
Operator
5 min
-
02
Plan
Operator
2 min
-
03
Build
Operator + Dev Agent
5 min, plus 22 min of unattended agent time
-
04
Test
Operator + QA Agent
10 min
-
05
Stage
Operator
Included
-
06
Approve
Operator, Client
1 min
-
07
Deploy
Operator
1 min
Times as recorded on 25 September 2026. Stage and Approve wait on the client in both the conventional and the Launch Studio column.
The proof
One finding, scan to live in an afternoon
A branded site for healthcare professionals. The scan returned fifteen findings, four SEO and eleven GEO. We followed one of them, a missing article element, from the scan to the live page, then priced the same fix through a conventional stack: a crawler audit, a ticket, a developer, a reviewer, a producer and a release.
| One fix | Conventional stack | Launch Studio, as recorded | Reduction |
|---|---|---|---|
| Elapsed | 1 to 3 weeks | about 2 h | 95% less |
| Hands-on time | 7 to 12 h | about 40 min | 90% less |
| Cost | $575 to $985 | about $55 | 90% less |
| Tools | 9 or 10 | 1, then EDS | 89% fewer |
| People | 5 to 7 | 1 + 2 agents | 80% fewer |
Extrapolated to all fifteen findings: 3 to 5 days elapsed instead of 4 to 6 weeks, and 10 to 16 h hands-on instead of 55 to 70 h. The full case study walks through every issue and who would touch it.
Conventional figures are estimates; Launch Studio times are from the session recorded 25 Sep 2026. Costs use staffing-chart rates ($94/hr blended; operator at $115/hr). Client approval and MLR take the same time in both. Faded figures are roles involved only sometimes.
What you get, and what happens next
The results page lists every finding with its impact, the pages affected and the owner. Authoring rows, answer-first sections, bylines, dates and sourced claims, are yours to publish. Development and platform rows are the ones Launch Studio ships, the way the case study shows, with your reviewer approving each one before it goes live.
Results stay available for fourteen days with the same email and code. If you want to see your own issue log turned into tasks, book twenty minutes and we will walk through it together.