AVE Studio · AI Visibility Engineering

We build

Machine equity

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.

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— your durable stake in AI: visibility in answers (GEO), a place in model memory (KEO), a surface AI agents will buy from (B2M). Implemented in code, not just recommended.

When your potential customers ask AI, make sure it names and recommends your business.

Not just now — five years from now, too. Today's AI answer is rented — it resets every time the model searches the web. We build the place you own in the model's memory.

Request a free check …or book a 20-minute call

One free check per company · results within 1 business day

Getting picked by AI takes three jobs at once: copy a buyer trusts, code a machine can read, and your name planted where the machine learned it. We do all three — across every tier, under one roof.

Marketing-to-machine

Marketing aimed at the machines that now mediate discovery, not only at people.

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(marketing-to-machine) ·

Business-to-machine

The transaction tier of AI visibility: being bought through an AI agent that acts on a person's behalf, via emerging agentic-commerce standards. A framing AVE Studio uses for the third tier (be seen → be known → be bought); the underlying agentic-commerce protocols are industry standards, not AVE's.

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(business-to-machine) · GEO / AEO · KEO · machine equity

AVE Studio Request a free check

Why this matters

Google search isn't where the funnel starts anymore.

Buyers increasingly ask AI assistants — ChatGPT, Gemini, Perplexity — to recommend a business directly. If the AI can't read you, can't place you, and never met your name elsewhere, you're invisible to a fast-growing share of intent. GEO is the discipline that fixes all three. We measure where you stand, then we do the work.

Our own open-data study (15 Hungarian firms, June 2026) found two-thirds of the sites block even a basic crawler — while buyers increasingly ask AI instead. Read the study →

The closing window

To a human, your site looks finished.
To the AI, it may not exist.

AI crawlers don't render your design — they read what's in the page, then answer instead of sending visitors. If you're not in the answer today, a competitor is. And AI memory compounds: the answer gets harder to change every week.

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illustrative example

GET / · text/htmlJS: off

<div id="root"></div>h1 [ ]p [ ]json-ld [ ]

No readable text. No JSON-LD. The crawler answers without you.

14 nodes · 0 server-rendered words · illustrative example

We build machine equity — your durable stake in AI: visibility in answers (GEO), a place in model memory (KEO), a surface AI agents will buy from (B2M). Implemented in code, not just recommended.

When your potential customers ask AI,

When you need your business found, read, and cited by AI engines — that's what AVE Studio is built for.

source: avestudio.pro · cited ✓

GET /en · text/htmlJS: off

h1 When your potential customers ask AI, make sure it names and recommends your business.p Not just now — five years from now, too. Today's AI answer is rented — it resets every time the model searches the web. We build the place you own in the model's memory.answer "When you need your business found, read, and cited by AI engines — that's what AVE Studio is built for."✓ JSON-LD @graph: Organization, ProfessionalService, WebSite, SoftwareApplication, OfferCatalog, Service, DefinedTerm, Person, NewsArticle, ItemList✓ 26 headings · 131 links · server-rendered

read with no JavaScript — nothing is hidden

◇ marks illustrative data — example readouts, not measured client results.

We pass our own test. Toggle this page.

This is what AI reads from a typical site. Curious what it reads from yours?

Check your site now — no form needed →

See what AI sees on YOUR site.

Raw HTTP view, no JavaScript — what most AI crawlers get. Findings, not a score.

This is a snapshot of the raw HTTP view — not a full audit. The full check measures across four AI engines, per question.

The machine-equity loop

1 · MEASURE — where you stand and which questions matter (Citation Tracker, Selector)
2 · FIX — why the AI skips you, fixed in code (Gap Analysis, Gap Closure)
3 · ANCHOR — an unambiguous entity, present where models learn (Entity Anchor, Corpus Campaign)
4 · PROVE ↺ — closed-book baseline and the delta at every new model generation (Model Memory Audit, Release Audit)

→ AI TRANSACTION — when the agent buys (agentic commerce · roadmap)

KG Doctor and the Claim Coherence Engine — the studio's own instruments — serve the entire loop.

AVE Studio doesn't run short-term campaigns: we build our partners' machine equity, across model generations.

The journey

One studio, the whole journey.

From your first measurement to buying inside AI — one continuous road, not scattered services.

Along the way we track three measures —

Naming rate

How often AI names you when your buyers ask.

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Model Mindshare

The share of an AI model's recall a brand holds in its category — a measured signal with a confidence range, not a guarantee. Measured closed-book (with web search off) as a training-time, parametric signal, distinct from retrieval-time GEO visibility.

Read the definition

Machine readability

How much of your site an AI crawler can actually read.

Read the definition

— always reported separately, with ranges, never merged into one score.

Tier 1 · Signal — Be seen — GEO/AEO — Live

01 · Citation Tracker

The baseline: how often AI names you — per engine, with a confidence range.

More about the service

02 · Selector

Picks the 15–25 buyer questions worth competing for — by measurement, not guesswork.

More about the service

03 · Gap Analysis

Question by question, why the AI recommends someone else — with evidence.

More about the service

04 · Gap Closure

Paste-ready fixes: code, copy and llms.txt, fitted to your site.

More about the service

Tier 2 · Memory — Be known — KEO — Live

KEO modules · all four modules live

K1 · Model Memory Audit

Closed-book measurement: what the model remembers about you — web off, per engine and per language, with confidence intervals.

Full description

K2 · Entity Anchor

One clean, verifiable entity: Wikidata, a consistent sameAs web, a canonical fact set — and source-level fixes for false “memories”.

Full description

K3 · Corpus Campaign

Presence where models actually learn: licensed press, earned community surfaces, a content calendar timed to training cutoffs.

Full description

K4 · Release Audit

At every major model release we re-measure what the new generation remembers — the delta is the only honest proof.

Full description

Tier 3 · Market — Be bought — B2M — Roadmap · in build

Seen enough? Request the free check.

Request a free checkOne free check per company · results within 1 business day

Written about us

Our bylined articles

The arc

Be seen. Be known. Be bought.

Three stages, from rented to owned. Tier 1 gets you into today's AI answer — rented, and it resets when the model searches again. Tier 2 builds a place you own, in the model's memory. Tier 3 lets agents buy from you there.

Tier 1 – Be seen: Your brand enters AI's answers. This is decided anew on every query, so it needs continuous optimization.
Tier 2 – Be known: Your brand appears in more credible sources and contexts, so the AI cites it with greater confidence.
Tier 3 – Be bought: Your web presence is prepared so that AI assistants and buying agents can not only recommend your brand, but also serve the automated purchase flows of the future.

Monitoring tools hand you a dashboard. We hand you the fixes, the entity, and the machine surface — implemented.

Tier 1

Be seen · Signal

Live

Someone is already the answer to your category. Not you.

We make AI engines find you, read you, and cite you.

The work

Find the prompts that matter
Track where you're cited
Diagnose what's blocking you
Close the gaps

ProofThe AI says your name, not a competitor's.

See whose answer it is — for your category.Request your assessment

Demo · Whose answer is it?

illustrative example

Who do you recommend for AI visibility in Central Europe?

In Central Europe, another studio gets named and recommended.

[ you ]

Someone is already the answer. Not you.

The four instruments — each with its live readout

Citation Tracker

Where — and how — AI mentions you: names you or just links you, per engine, with a confidence range.

More about the service

Selector

The prompts that decide your category.

More about the service

Gap Analysis

Why the AI skips you, page by page.

More about the service

Gap Closure

Paste-ready fixes, ranked by impact.

More about the service

M2M (marketing-to-machine) · GEO / AEO · Citation Tracker, Prompt Portfolio Selector, Gap Analysis, Gap Closure

Tier 2

Be known · Memory

Live

AI is writing your permanent record now. Guesses harden into fact.

We make you a fact the AI remembers — one canonical entity, anchored and durable.

The work

Make it unambiguous to the machine who you are
Anchor it to public knowledge
Hold your share of answer over time

ProofWe check it the hard way: with the web switched off, we ask the models from memory — the ones behind ChatGPT, Claude and Gemini — whether they still name you. Search-native surfaces (Perplexity, Google AI Overview) we measure live, not from memory.

See your entity the way the AI stores it.Request your assessment

Demo · Fact or rumor?

illustrative example

anchored & durable

a guess, unanchored

Anchored & durable — vs. a guess that hardens into fact.

Model Mindshare — measured + planned

illustrative example · example readout

Model Mindshare50% · CI 43–57%

a measured signal that moves — not a guarantee

Prioritized, concrete actions per platform — exactly what to do to get in.

Knowledge

Wikidataabsent
Wikipediaabsent
knowledge graph / sameAspresent

Retrieval

YouTubepresent
Redditentry opportunityr/AskUK · your buyers ask here
review sitespresentTrustpilot
guest / blogabsent

Engine	Names	Links
ChatGPT	✓	—
Perplexity	—	✓
Gemini	✓	—
Google AI Overview	—	✓

Sometimes AI links you as a source but never says your name — a "ghost citation," and it flips per engine.

KEO modules · all four modules live

Diagnosis

K1 · Model Memory Audit

Live · measurement + dashboard

We ask the models themselves — with the web off — what they recall about you, not what they can find: unaided first, then aided, per engine and per language. Six dimensions, each with a confidence interval, and no single score until one is honestly calibrated. If a model can't place you at all with the web off, that blank is itself the measurement.

Read the definition More about the service

Intervention

K2 · Entity Anchor

Live · done-for-you service

We make you one clean, verifiable entity in the machines' eyes, so every source points at the same you: a Wikidata item with sourced claims, a consistent sameAs web, one canonical fact set on every high-authority surface. Where a model has learned something false, we correct it at the source — so the next model generation learns the fix.

Read the definition More about the service

K3 · Corpus Campaign

Live · done-for-you service

We put your name where models actually learn — licensed press and earned community surfaces — and time it to the training calendar so the next generation is born already knowing you. Because every live model carries knowledge months to years old, foundational content has to land well before the recall is needed. We never claim to guarantee inclusion in any training set; we do the input-side work and measure the result afterward.

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Verification

K4 · Release Audit

Live · first release runs

At every major model release we re-run the closed-book battery on the new model version and measure the recall delta against the previous generation — with confidence intervals, an engine×language matrix, and a competitor panel as the counterfactual. What did it newly learn, forget, or get wrong? That delta is the single honest piece of evidence that the work moved the model's memory.

Read the definition More about the service

All four KEO modules are live. K1 Model Memory Audit measures, with the web off, what a model recalls about you from memory — with an operator dashboard; K2 Entity Anchor, K3 Corpus Campaign and K4 Release Audit run as done-for-you services. Here, live means the service is available, not a guarantee of recall or training inclusion.

M2M (marketing-to-machine) · KEO (Knowledge Engine Optimization) · Model Mindshare · JSON-LD @graph, sameAs, Wikidata

Tier 3

Be bought · Market

Roadmap · in build

When the agent buys, it can only choose what it can read. Today it can't choose you.

We build the surface that lets AI transact with you directly.

The work

Your offers become readable to AI — price, terms, availability
Build the connector AI buys through
Let agents quote, book, buy

ProofAn agent completes a real transaction

Be choosable when agents start buying.Request your assessment

Demo · The agent picks

illustrative example

No machine surface → the agent skips you

AVE-built surface → the agent transacts

MCP offer payload — what the agent reads{
  "tool": "get_offer",
  "result": {
    "@type": "Offer",
    "name": "Consultation — 60 min",
    "price": "180.00",
    "priceCurrency": "EUR",
    "availability": "InStock",
    "url": "https://example.com/mcp/offer"
  }
}

The agent can only choose what it can read.

B2M (business-to-machine) · MCP server · agentic commerce

How we work

Three disciplines. One studio. Every tier.

Most agencies bring one skill to a problem that needs three. Getting recommended by AI takes a marketer to make the case, a developer to make it machine-readable, and a technical marketer to make the machine treat it as fact. We bring all three to every module of every tier — because our team spans both: marketers who ship code, engineers who can sell. That's why we can take the whole journey: fix the broken code in your domain, write the machine-readable markup, shape the entity record the AI remembers, and seed your name in the sources it trusts — Reddit included.

Why we're different

Not one trick — the whole package together.

No competitor does the whole arc — measure, fix, code, and market — because almost no team combines marketing and engineering. Ours does. what GEO is.

01
A method you can see through
Transparent, seven-dimension analysis — shown with its reasoning, never a black box.
02
We measure the wobble, too
AI answers aren't constant, so we ask several times and show the confidence range — a measured signal, not a promise.
03
Built for Central Europe
We measure and optimize per market — Hungarian, Czech, Polish and more — not a one-size-fits-all Western template.
04
We catch what AI gets wrong — soon
When AI states your price, hours or category wrong, we flag it in a checkable way. (Coming soon.)
05
Ready for AI that buys
AI will soon not just recommend but buy on your customers' behalf — we get your site ready for it.

What we do NOT promise

A methodology is credible when it knows what it doesn't know.

We refuted or found no solid evidence for the following claims during our market research. We never tell clients these.

"Guaranteed 40% visibility uplift"
We don't promise a percentage. AI answers aren't deterministic — we show movement as a measured signal with a range, never a guaranteed number.
"Hungarian content is disadvantaged"
We don't claim this — it's a stronger statement than we have evidence for. We only describe a "language preference signal".
"Competitors don't measure hallucination at all"
We don't claim this categorically — market research didn't give a clean proof; only that they don't productize it at homepage level.
"Guaranteed top-3 position in AI answers"
We don't promise a guaranteed position — the goal is measurable improvement, not absolute ranking.
"Your website's current content is the strategy basis"
We don't treat the domain content as starting truth — real market demand is the benchmark. The website is a scope filter, NOT a topic source.

The team behind AVE Studio

AVE Studio is run by a five-person team of specialists — covering measurement, entity architecture, content and answer engineering, and development. Getting a business recommended by AI needs two things at once: the argument a buyer believes, and the code a machine can read. Our team spans both — marketers who ship code, engineers who can sell — working on our own measurement system: versioned prompt panels, four engines, machine extraction, human review. The studio was founded in Budapest in 2026.

Built in-house

Not a pitch deck — a track record: three live apps in production, plus an award-winning consumer brand. We build what we sell.

01aingler.app
An AI fishing coach that learns from your catches.
02passportpub.hu
A full interactive venue site (booking, live-sports, mini-apps).
03ppbooking.beer
A live table-booking app with an interactive floor plan.

Request a free check

Request a free AI-visibility check

Tell us about your business. We'll run a quick check across the AI engines we measure — ChatGPT, Gemini, Perplexity and Google AI Overview — and send you a visibility score plus the questions where you're most invisible. Results within 1 business day. This is the only measurement we offer that returns a single combined score — every paid measurement reports ranges.

Every paid measurement starts with a cost estimate you approve — the audit runs only after your go-ahead.

Contact

Questions before you request an audit?

Pricing, methodology, or what the measurement would show for your brand — write, call, or book a short call. We reply within one business day.

Book a 20-minute call →hello@avestudio.pro +36 30 900 1356

When your potential customers ask AI, make sure it names and recommends your business.

Google search isn't where the funnel starts anymore.

To a human, your site looks finished.To the AI, it may not exist.

See what AI sees on YOUR site.

The machine-equity loop

One studio, the whole journey.

Seen enough? Request the free check.

Be seen. Be known. Be bought.

K1 · Model Memory Audit

K2 · Entity Anchor

K3 · Corpus Campaign

K4 · Release Audit

Three disciplines. One studio. Every tier.

Not one trick — the whole package together.

A method you can see through

We measure the wobble, too

Built for Central Europe

We catch what AI gets wrong — soon

Ready for AI that buys

A methodology is credible when it knows what it doesn't know.

The team behind AVE Studio

Request a free AI-visibility check

Questions before you request an audit?

To a human, your site looks finished.
To the AI, it may not exist.