AVE Studio · AI Visibility Engineering
A4 · Stage 2 — Fix: the fix, in code
Gap Closure · GEO an executable fix package
Being found, included and cited when an AI generates an answer — at answer time, from the live web.
Generative Engine Optimization: the definitionYou have the diagnosis, but no capacity to build the fixes. The Gap Closure doesn't hand you another advice list — it delivers ready-to-insert code and copy.
The machine-equity loop — Gap Closure
- 1 · MEASURE — “Where do I stand today?” Per engine, with a range (Citation Tracker, Selector)
- 2 · FIX — “Why do they skip me?” Page by page, then fixed in code (Gap Analysis, Gap Closure)
- 3 · ANCHOR — “Where does the machine learn about me?” An unambiguous entity, present where models learn (Entity Anchor, Corpus Campaign)
- 4 · PROVE ↺ — “Did it move, and what did it bring?” Closed-book baseline and the delta at every new model generation (Model Memory Audit, Release Audit)
KG Doctor and the Claim Coherence Engine — the studio's own instruments — serve the entire loop.
Machine equity is the business asset that arises from AI systems being able to recognize, understand, recall, recommend — and, on a user's behalf, transact with — a brand. Composed of three layers: rented reach (retrieval visibility), owned memory (trained model recall), and machine buyability (agent-side transactability). Measured honestly only as a portfolio of ranged, per-layer metrics — never as a single blended score.
Machine equity: the definitionMost audits end exactly where implementation should begin: you get a list of findings, and the fixes don't materialize for months. The Gap Closure turns the Gap Analysis results into an immediately executable package. It produces structured-data code — JSON-LD —, ready FAQ copy, an llms.txt file, outlines for new pages, and modifications fitted to your live site's HTML, ready to paste in.
A task card like this is produced for every uncovered gap. You don't get a generic SEO finding — you get a precise instruction: what to build, how to integrate it, how much work it takes, and which buyer questions it addresses.
If the system doesn't know a required piece of data — a company detail, say — a clearly marked fill-in field is left in its place. We don't invent data on your behalf; the system's operating rules rule it out.
The "What the better-performing pages do" section summarizes the measured practice of the pages recommended instead of you: their structured data, content freshness and answer format.
Reports are delivered in Hungarian and English.
◇ marks illustrative data — example readouts, not measured client results.
Every service runs on an application we built in-house for exactly this job — not manual spreadsheets, not general-purpose tools.
A code-and-copy generation system with a built-in quality gate: a report with an overreaching claim cannot ship, and missing data stays a marked field.
01For the developer
Paste-ready code, structured data, technical fixes and page-level modifications, in separately downloadable files.
02For the site editor
Ready copy blocks, FAQ content and page outlines, fitted to precisely marked places on the page.
03For the marketer
Content and presence tasks with a clear sequence and a concrete execution plan.
Executable materials, not generic advice
You get code and copy fitted to your own website's structure. Every file downloads directly from the report.
Invented data cannot get in
Unknown data points remain clearly visible fill-in fields. The system's architecture doesn't allow it to fabricate a missing fact.
Clear limits and effort estimates
The report states precisely what each task solves and what it doesn't promise. It gives an execution order and estimated effort — not a misleading score.
Automated quality check before release
The report cannot be published if it contains an overreaching or disallowed claim. An automated check blocks it.
How much does gap closure cost?
The ready-to-paste deliverable package starts from HUF 195,000 net (approx. €490). If you want us to implement it (done-for-you), that starts from a further HUF 225,000 net (approx. €565): after scoping we quote a fixed price — not an open-ended hourly engagement.
What do I receive?
Ready-to-paste fixes: schema code, FAQ blocks, page outlines, an llms.txt file and a developer task sheet your web partner can execute without further interpretation. We do not hand over advice — we hand over work.
Do I get advice or finished work?
Finished work. In the deliverable package every asset is paste-ready and your team or developer implements it. In the done-for-you variant we touch the code ourselves, at a fixed pre-agreed price. Neither variant creates a months-long retainer dependency.
Why not postpone the fix? A diagnosis expires: measured gaps stay comparable until the next measurement round, after which your competitor's pages and the AI answers have both moved. And while the fix is not shipped, the same questions keep naming someone else every month.