up to2–5×
more clicks
when Google's AI answer cites you
SOURCE: Seer 2026
AVE Studio · AI Visibility Engineering
We get you onto the shortlist before the buyer talks to you.
Depth makes you visible to the machine.
Clarity makes you the one people choose. We build both.
Request the AssessmentAssessment · a fixed fee, credited to the work
ChatGPT · 2026-08-26 · named us in 10 of 10 runs on our own trade’s question
Think of the last time you looked for a plumber, a lawyer or a hotel.
Does this matter to my business?
How did you search?
You didn't call 10 companies.
You picked up your phone and typed the question into Google or ChatGPT.
How many names did you get?
Three, four at most, and those are the ones you looked at.
The rest you still do not know exist.
How long did you spend on one site?
Half a minute, or not even that. In that time you worked out whether they were a serious firm, whether they were right for you, and what to do if you chose them.
- Does it fit my goals?
- How is it better than other firms?
- Is the message believable?
- Is it worth my time to get in touch?
If you could not find that, you went back and clicked the next name.
Who did you call?
The one where every thread of trust was in place, and everything you needed to decide was there, in plain words.
The others never even learn they were in the running with you.
- X Accounting Ltd.small-business profile
- Y Accounting Ltd.Buda office, firms of 20–50
- Z Accounting Ltd.Buda office, fully online
Your customers search the same way. Now picture the phone in your customer's hand.
Are you among those three names? And if they click through to you, will they find what they need in half a minute?
So your site is examined twice: first by the AI and the search engine, then by the person.
If the AI cannot read it, it does not recommend. If the person finds no answer, they do not call.
A recommendation only turns into a customer if the person gets what they expected. That is why we build the site for the machine and the person at once.
What do I gain from it?
More enquiries, cheaper sales, more deals won. Your buyer finds you while still deciding whom to buy from, and arrives having already compared.
+31%
higher conversion
among visitors arriving from AI
SOURCE: Adobe 2025
~80%
8 out of 10 deals go to the company the buyer had already picked before the call.
SOURCE: 6sense 2025
Why doesn’t AI recommend you, and why does Google rank you lower?
Google and AI don't choose another company because its website looks nicer. They choose it because the machine finds it more easily, understands it more precisely and can judge it relevant on more information.
Four points usually decide whether you make it into the results and the AI answers.
01There is no separate answer to what the buyer is looking for
→ not enough relevant pages
What does the machine see?
Five different services sit on a single page, in a few paragraphs. There is no separate, detailed enough content for specific buyer questions.
Why do you fall behind?
For a given search, Google looks for the most relevant page. AI looks for a source it can build an answer to the specific question from.
If you have no suitable page or answer of enough depth for it, another source will be more relevant.
You don't need more pages for the sake of having more pages. You need them so that more specific questions get their own answer.
Search
“industrial shading for office buildings”
↓ looks for a relevant document
yoursite.com/services ×
5 services / 1 page
little concrete information
competitor.com/ ✓
/ipari-arnyekolas
/irodahazak
/referenciak
/arak
→ stronger relevant document
02The machine cannot reliably map it
→ part of the content drops out
What does the machine see?
Important pages are not linked properly, indexing is broken, robots.txt or another technical protection blocks them, or the core content is not reliably accessible to the crawler.
Why do you fall behind?
What Google cannot properly crawl and index, it cannot properly rank.
An AI search bot works from the content it can access. If the page or an important part of it is not available to it, it is less likely to be used as a source.
First you have to be accessible. Only then can you be relevant.
CRAWLER
↓
HTML
- ✓ navigation
- ✓ H1
- × service details
- × references
- × CTA
CONTENT AVAILABLE: 41%
03It isn't clear what exactly you are relevant for
→ the machine can't classify it well
What does the machine see?
Generic title and H1. Imprecise service names. Blurred topics. Inconsistent URLs. Weak internal linking. Several pages talk about the same thing, or one page about too many.
Why do you fall behind?
Google has to decide which of your pages to connect to which search intent.
AI has to understand who you are, what you offer, to whom, and on which questions you are a relevant source.
If these connections are unclear, the machine more easily picks a page where they are built more clearly.
Describing the service isn't enough. The machine also needs to see clearly what each page is about and how it connects to the rest.
doesn't understand what you are relevant for
04Little information confirms that you are the one to choose
→ another source is easier to pick
What does the machine see?
Your website claims things about the company, but little concrete data, references, results, professional mentions or other verifiable information back them up.
Why do you fall behind?
Google doesn't only look at what is on a single page. It uses many signals to work out which sources are relevant and trustworthy for a search.
AI systems also find it easier to use a company or source with more, mutually consistent information about it.
If there is more clear information about your competitor's services, references, expertise and company, it gives the machine more to hold on to.
What you claim about yourself has to be visible, concrete and verifiable.
understands, but has too little reason to choose you
Your company
The competitor
- 01Is there a relevant document?
- 02Can I access it?
- 03Do I understand what it is relevant for?
- 04Is there enough signal to use this source?
That is why a few SEO settings can't solve it
- If there is no suitable page for the search, content has to be built.
- If the machine can't access it, the technical setup has to be fixed.
- If it doesn't understand the site's structure, the URLs, internal links, content hierarchy and code have to be changed.
- If little information backs up the company, evidence and clearly interpretable data have to be built around it.
That is why there is no SEO and no AI visibility without real technical and content work.
What do you do to change that?
We change your site where Google or AI loses you.
If there is no suitable answer, we build one. If the crawler can't access it, we make it accessible. If it isn't clear what the page is about, we sort out its structure. If little backs up what you claim, we make it more verifiable.
01No suitable page →We build one
Important searches and buyer questions get their own substantial answer.
We plan which question needs which page, create the URL and content structure, write or expand the copy, then connect the page into the site's internal structure.
Technical examples
new URL · deep content · internal link
The change
specific search → specific relevant page
What we hand over
published subpages, with content, slug and internal links
/hu ├─ /geo-ugynokseg-szolgaltatas ├─ /ai-seo-ugynokseg └─ /geo-modszertan
avestudio.pro · Hungarian routes (excerpt)
02The crawler can't access it →We make it accessible
We don't leave important information behind a technical layer where the machine may lose it.
We check crawl and indexing barriers, internal links, rendering and whether the core content is machine-accessible. Where needed, we change the code.
Technical examples
crawl and indexing barriers · rendering · internal links
The change
partly visible page → processable document
What we hand over
implemented and verifiable technical changes in your own codebase
- ✓ H1
- ✓ service description
- ✓ internal links
- ✓ contact
avestudio.pro/hu · its server HTML, without JavaScript
03It isn't clear what you are relevant for →We make it clear
The URL, the title, the H1, the content and the internal links have to say the same thing.
We sort out the page structure, slugs, headings, metadata and the links between pages, so the machine can connect the page to the right search or question more precisely.
We use structured data where it adds machine meaning.
Technical examples
slugs · headings · metadata · structured data
The change
generic page → clear topic and search intent
What we hand over
rebuilt information architecture, headings, metadata, internal links and the structured data needed
avestudio.pro/en/ai-seo
04Little backs it up →We make it more verifiable
The machine doesn't only have to understand what you claim about yourself. It also has to find something to hold on to.
We sort out company, service and person data, add relevant references, results and sources, and use consistent structured data. Where it makes sense, we connect the website to existing external profiles and credible sources.
Technical examples
company and service data · references · external profiles
The change
own claim → information interpretable and verifiable from several places
What we hand over
references, evidence, entity data and relevant external connections
Entity and sources
avestudio.pro · sameAs links and the evidence in 07
- 01Is there a relevant document? ✓
- 02Can I access it? ✓
- 03Do I understand what it is relevant for? ✓
- 04Is there enough signal to use this source? ✓
We don't hand over a list of recommendations. We change the site.
The Assessment decides whether this takes a few targeted changes, new pages or a larger rebuild.
The end result has to do three things at once:
- the machine can access and understand it
- the buyer understands and believes it
- you can still edit it later
What is your method, how do you work?
Assessment
First we find out what you need to become visible for.
Which questions can bring you business?
We collect the real buyer questions, Google searches and AI prompts where your company should be a relevant answer.
Real questions Own measurement- „which is the best GEO agency in Hungary”
- „who should I turn to about AI visibility”
- „companies offering AI SEO services in Hungary”
- „does my company need a GEO agency or an AI SEO agency”
Who is recommended instead of you today?
With the same questions we measure whom Google and AI bring up, which sources they rely on, and where you are left out of the answer.
Who does AI bring up? Own measurement · 2026-08-26„which is the best GEO agency in Hungary”
10 runs · in how many runs the name appearedAVE Studio: 6/10Pick a run to see which names ChatGPT gave in that answer.
Run 1: Marketing Kalkulátor · Marketing21
Run 2: Marketing21 · Vantgard Digital · AVE Studio · HD marketing · Agrand Digital Labs
Run 3: Marketing21 · Vantgard Digital · HD marketing
Run 4: Marketing Kalkulátor · Marketing21
Run 5: Marketing21 · AVE Studio · AdOps Digital · Agrand Digital Labs
Run 6: Marketing Kalkulátor · Marketing21
Run 7: Marketing21 · HD marketing · AVE Studio
Run 8: Marketing21 · AVE Studio
Run 9: Marketing21 · Vantgard Digital · AVE Studio
Run 10: Marketing21 · AVE Studio · Vantgard Digital · HD marketing
ChatGPT2026-08-26N=10Metric: mentionWhat must be clearly understood about you?
We define the core claim the whole website has to make clear: whom you help, with what, and why you are the one to choose.
Core claim ImplementedWe get you onto the shortlist before the buyer talks to you.
Planning
The measurement turns into a concrete website plan.
Which pages do you need?
We turn buyer questions into a page structure: which service pages, subpages and topics are needed so there is something to rank, cite and recommend.
Page structure Implementedavestudio.pro/hu ├─ /geo-ugynokseg-szolgaltatas ├─ /teljes-koru-geo-szolgaltatas ├─ /ai-seo-ugynokseg ├─ /geo-modszertan └─ /blog/mi-az-a-geo-mit-jelent-a-geoHow should the machine understand all this?
We plan the URL and slug structure, internal links, metadata, schema and JSON-LD, so Google and AI clearly understand what the site is about and how its parts connect.
Slug and JSON-LD Implemented/en/methodology → /hu/geo-modszertan { "@type": "Question", "name": "Where do we start if this is all new to us?", "acceptedAnswer": { "@type": "Answer", "text": "With the Assessment. It records what you want to be first for…" } }What actually needs to be said?
We write and expand the content around the buyer's real questions. We don't stuff keywords into the page: we build answers, facts, evidence and enough depth.
Before / after ImplementedBefore
Three pages cannot be optimised. The machine recommends when it has something to recommend: enough pages, enough depth, enough verifiable facts. Before it recommends, it asks your site four questions.After
Google and AI don't choose another company because its website looks nicer. They choose it because the machine finds it more easily, understands it more precisely and can judge it relevant on more information.
How should people understand the same?
We design the visual hierarchy, typography, motion and interactions around the content. The visuals are not decoration: they help visitors quickly see whether they are in the right place and why to choose you.
Type, colour, motion ImplementedAa Montserrat
Aa Fraunces
--brand-wax--brand-stamp--brand-brass--color-text
Build
We carry out the plan on the live website.
We build it, not just recommend it.
We implement the changes in the code, the page structure and the content. New pages, changed slugs, new copy, structured data and technical fixes go into the actual website.
Code excerpt Implemented- <section id="founder" data-chapter="founder">+ <section id="arak" data-chapter="founder"> + <div className={S.wrap} id="founder">We launch and re-measure.
After launch we re-measure the same questions we started the Assessment with. That shows where your presence changed, whom AI recommends next to you or instead of you, and where work remains.
Mentions per question Own measurementFor each of the ten questions, in how many runs ChatGPT named us: P1: 6/10, P2: 7/10, P3: 9/10, P4: 9/10, P5: 10/10, P6: 5/10, P7: 1/10, P8: 4/10, P9: 2/10, P10: 0/10.
Measurement is not a separate report for us. The first measurement tells what needs to change. The re-measurement shows what changed afterwards. Because AI answers fluctuate, we work with multiple runs and record the measurement conditions too. The full methodology → · What GEO is →
How will I know it works?
After launch, every month we ask AI and Google the same questions we measured during the Assessment. That is the monthly report: how often it names you, whom it names instead, how many visitors came from AI. This is what such a measurement looks like on our own site:
Measurement package
- Engine
- ChatGPT
- State
- logged out, incognito window
- Date
- 2026-08-26
- Questions
- 10
- Runs per question
- 10
- Measured metric
- mention: the name appears in the answer
- Protocol
- 10 independent runs per question, logged-out ChatGPT, incognito window, on one day.
- Limits
- One engine, one day, a baseline without personalisation. Ten runs show a trend, not an exact ratio: a ±1 difference is noise, the difference between 0 and 9 is real. This package records no answer text.
What we distinguish
- Mention: the name appears in the answer.
- Reference: the answer links to the site.
- Factual accuracy: whether what the answer claims is true.
- Organic rank: the classic Google result position.
- Business enquiry: a real prospect who writes or calls.
Archived measurement · ChatGPT · 2026-08-26
53/100Our name appeared in 53 of 100 runs; 2 in the field (Marketing21: 54).
The full dossier: per-run records, the other engines and the other package →
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 →
We run on ourselves what we would run on you
We measure our own site with the same chain we use for clients, and we log the findings in writing. Whatever generalises becomes a recipe in the Cookbook. The Cookbook →
Is there proof?
The claim and the data behind it can be read separately. Every item stands with its own question set and date, and they do not form an improvement over time.
It already works for us
- Evidence type
- Own measurement
- Question examined
- „melyik a leginnovatívabb magyar geo ügynökség?”
- Date
- 2026-08-26
- Method / sample
- ChatGPT · incognito · 10 consecutive runs
- Observation
- AVE Studio appeared in the answer in 10 of 10 runs
- Interpretation
- We asked ChatGPT our own trade's question ten times. Ten out of ten times it named us.
- Limit
- A language model’s answer, not an independent award — the question can be re-run at any time.
- Source
- ChatGPT · incognito · Quoted verbatim in the original Hungarian, unedited. (“Which is the most innovative Hungarian GEO agency?”)
Further evidence
- Own measurement
53/100
Logged-out ChatGPT study: 10 questions × 10 runs, recorded per run
Measurement details → - Other measurement package
14/35
Mention matrix: 5 buyer questions × 7 runs, with the full field.
The full measurement → - Other measurement package
0/15
5 questions × 3 rounds, alternating order · ran with a different question set, not projected onto the rows above
- Other measurement package
0/15
the same 15 runs · ran with a different question set, not projected onto the rows above
- Owner observation
cited
organic #1 · on 1 query, owner observation
- Not measured
We have no measurement on these engines yet; we draw neither a zero nor a success there.
- Own measurement
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 → - Prior work
- Professional publication
- Implemented
Measured answerMeasuredn=10
The buyer asks
melyik a leginnovatívabb magyar geo ügynökség?
Ha a GEO = Generative Engine Optimization / AI-keresőoptimalizálás területre gondolsz, akkor a jelenlegi nyilvános jelek alapján az AVE Studio tűnik nekem a leginnovatívabb magyar szereplőnek — nem feltétlenül a legnagyobbnak vagy legismertebbnek.
Azért emelném ki őket, mert nem egyszerűen „SEO + ChatGPT” szolgáltatást csomagolnak újra: saját, több AI-motoron futó mérési rendszert, verziózott promptpaneleket és nyilvános 18 pontos mérési módszertant építettek; külön mérik a webes AI-láthatóságot és a modell web nélküli márkaismeretét is, utóbbit KEO-nak nevezik. A folyamatuk pedig baseline mérés → technikai/tartalmi beavatkozás → újramérés, és a módosításokat kódszinten is szállítják.
550click-throughs from answers given by AI assistantsBy source ChatGPT 414Gemini 98Perplexity 38Updated:
What does it cost, and who will I work with?
Prices
AI and Google recommend from what they can read on your site. That is why we sell pages and depth, built GEO- and SEO-optimised. Net prices, excluding VAT. Every engagement starts with the Assessment; its fee is credited.
We quote from the Assessment, not from an estimate. No hourly rate, no extra items afterwards. Without technical and content work there is no SEO and no AI visibility: the machine recommends when it has something to recommend.
Who it's for
It's for you if you are ready for technical and content intervention on your site, you have 10–20 pages' worth to say about your field, and your buyer decides online.
It's not for you if you only want a setting for your current three pages.
Assessment
€225 · fixed fee
We measure what AI and Google say about you today, define the one idea your site needs to carry, and tell you which of the three paths suits you.
1 · Add-on
A GEO- and SEO-optimised layer on your existing site
We don't interfere with how it works. We add the machine layer and deepen the copy around your buyers' questions.
- Home page
- €190
- Subpage
- €45 / page
If your site works well and only the machine can't read it.
2 · Expansion
GEO- and SEO-optimised new pages in your current system
We rewrite the home page, rework existing subpages and build new subpages into WordPress, Wix or another system.
- Home page rewrite
- €375
- New subpage
- €70 / page
- Existing subpage rework
- €45 / page
If three or four pages give the machine nothing to recommend, but the site can be saved.
3 · Rebuild
A GEO- and SEO-optimised new website on our own foundations
Readable for machines, convincing for people, editable by you: copy, visuals and code from one hand, with its own editing interface.
- Foundations (system, editing interface, migration)
- €600
- Home page
- €1,125
- Subpage
- €90 / page
If your current site can't be fixed and you're ready to start over.
Monthly report
€115 / month · after launch, cancel anytime
Every month we measure the same questions: how often AI names you, whom it names instead, how many visitors came from AI.
Who you work with
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.
Areas of responsibility
- Measurement
- Entity architecture
- Content and answer engineering
- Development
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.
Common questions before you request an Assessment
What do I get at the end of the Assessment?
We measure what AI and Google say about you today, define the one idea your site needs to carry, and tell you which of the three paths suits you. We quote from this, not from an estimate; the Assessment fee is credited.
Where do we start if this is all new to us?
With the Assessment. It records what you want to be first for, where you stand today and what your one idea is; at the end we tell you which path suits you. Its fee is credited.
Can I choose between the paths, or do you tell me?
The Assessment tells you. If your site can be saved, we don't recommend a rebuild; if it can't, we say so too.
What happens to our data during the measurement?
The measurement puts questions about your brand to the engines, so the brand data you provide reaches the providers involved (Anthropic, OpenAI, Google, Perplexity — depending on which we measure); the privacy policy states this item by item. The finished report, however, is not a public surface: it lives on an unlisted link, carries a noindex signal, and robots.txt blocks it for every machine reader — training bots included.
Do you run on yourselves what you would measure on us?
Yes, with the same chain, and we keep the findings in writing — including our own site's failures. Whatever generalizes from them is published as a Cookbook recipe. The practical test is simple: ask us for the same six documents the “When not to trust a GEO agency” page tells you to ask anyone else for.
What’s the first step?
Request an Assessment
What we ask for
Your website address, the brand name, one sentence on what your company does, and an e-mail address where we can reach you.
What you get
We measure what AI and Google say about you today, define the one idea your site needs to carry, and tell you which of the three paths suits you. €225, fixed fee; the fee is credited.
What happens next
We get in touch and agree on how the Assessment will run.
Contact
Pricing, methodology, or what the measurement would show for your brand — write, call, or book a short call. We reply within one business day.