White-label partner programme
Your clients already need machine equity.
The agency that owns the problem will own the account.
Your clients are already being described, compared and recommended by AI engines. The question is not whether they need help — it is whether they hear about that need from you, or from the agency preparing to replace you.
Machine equity is what AI engines know about a brand, say about it and cite it for. It already exists for every account on your roster. It is not an emerging trend or a future opportunity.
The answers are being generated today.
They are influencing buyers today.
And your clients' position can be measured within a few hours.
Left unmanaged, it does not remain neutral.
- Competitors get recommended.
- False information goes uncorrected.
- Important pages remain invisible.
- And eventually, another agency turns those failures into a sales presentation.
1 · The account
The demand is already inside your client portfolio
Buyers increasingly ask ChatGPT, Google AI Overviews and Perplexity before they ever reach a traditional search-results page. Every missing citation, false statement and lost recommendation is an existing client problem.
Sooner or later, your clients will be shown evidence of how they appear in AI-generated answers. The first presentation will come from one of two places: from you — or from an agency trying to win the account.
Why was this not identified earlier?
What else are we missing?
Is our current agency equipped for the next phase of search and discovery?
The only question is who charges for it on your clients.
2 · The in-house build
Building the capability yourself is the expensive way to be late
Creating this service in-house requires:
- specialist hires;
- measurement software covering five AI surfaces;
- a methodology that separates real movement from model noise;
- technical production workflows;
- repeated testing and re-auditing whenever a major model changes.
That means at least 12 months of development and a budget most agencies cannot justify. Meanwhile, the capability is needed on your next client call, not next year.
By the time an internal solution is ready, competitors may already be presenting the opportunity to your accounts.
What we bring to your agency
AVE Studio's 12 applications are already built. The methodology is proven in production. The reports and services can be on your clients' desks under your brand within days.
Nobody on your team writes a line of code.
You gain three independent service lines you can build into your own offer, sell at your own prices and deliver under your own brand — near-term mentions (GEO/AEO), becoming part of what the models know (KEO), and, looking further ahead, coding for AI transaction platforms, as your clients require.
1 · GEO/AEO
Show your clients how invisible they are to the machines — then offer the fix for a problem they already have.
Generative and Answer Engine Optimization —
Being found, included and cited when an AI generates an answer — at answer time, from the live web.
Read the definitionBeing the extracted answer to a specific question — at answer time.
Read the definitionWe measure where the client appears — and where it does not — across:
Measured surfaces: ChatGPTGoogle AI OverviewsGoogle AI ModePerplexityGemini
Every number is based on repeated sampling and reported with a confidence interval.
Baseline report
A client-ready, statistically honest report showing what each AI engine says, which sources it cites, where the client appears, where the client is absent and what the engines get wrong.
Operated by AVE Studio · your brand on it
Hallucination inventory
A documented list of false, inaccurate or misleading statements, with a correction loop and re-measurement. The results make the effect of the optimization plain.
Operated by AVE Studio · your brand on it
Ready-to-paste technical fixes
JSON-LD schema files, content patches, FAQ blocks and llms.txt files. Every output is reviewed by AVE Studio before delivery.
Operated by AVE Studio · your brand on it
Developer task sheet
The client's existing website or development partner receives a precise implementation document that can be executed as written.
Operated by AVE Studio · your brand on it
Monthly trend reports
Ongoing visibility of how AI presence, citations and recommendations change, under your logo and your brand.
Operated by AVE Studio · your brand on it
2 · THE LONG GAME
Become part of what the models know
Knowledge Engine Optimization —
The verified, canonical, readable, citable record AI models learn from — so each new model is trained to know and recall your business correctly.
Read the definitionRankings can disappear overnight. What a model consistently knows about a company from its own memory — without going out to the internet — is far more durable.
Knowledge-graph diagnostics
We productize the knowledge layer: entity anchoring and diagnostics of what the models hold about your client.
Operated by AVE Studio · your brand on it
Knowledge-graph work orders
We prepare the submission-ready entries, posts, article schemas, data and implementation instructions. Your team updates the platforms that need it and writes the expert articles (PR 2.0); our engines verify consistency, content and wording — and whether the changes actually landed.
Operated by AVE Studio · your brand on it
Model-memory tracking
Release-by-release measurement of what AI knows about the client without prompting or assistance.
Operated by AVE Studio · your brand on it
Release audits
When a major new model or release ships, your client receives a before-and-after analysis within days, together with what to change and how.
Operated by AVE Studio · your brand on it
They hear what changed from you — before they hear it from anyone else.
No competitor currently offers this layer as a white-label service.
3 · THE FRONTIER
Be ready when AI stops recommending and starts buying — inside the chat
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.
Read the definitionAI assistants are beginning to search, query, book and buy on behalf of users.
Agent-readable infrastructure
We build the technical infrastructure — or, if you prefer, the application — that AI agents can read and use. That puts your client in front from the moment the market forms.
Operated by AVE Studio · your brand on it
Transactability
The next competitive layer will not only determine which companies AI recommends. It will also determine whose data AI can read and query well enough to turn into a transaction at the end of the day — inside the chat.
Operated by AVE Studio · your brand on it
Regional first-mover
Your agency can be among the first, even at European level, to offer this as a service of its own.
Operated by AVE Studio · your brand on it
The client is yours. We carry the technical burden.
- Our engines
- Measure, diagnose, plan and produce the code required, then verify the results after implementation
- Your team
- Owns the client relationship and completes the non-technical work: PR placements, content publishing and posting the prepared entries — all from a detailed plan and instructions, with no coding required
- AVE Studio
- Quality-controls every deliverable, reruns anything that did not take effect and keeps the methodology aligned with new model releases
On our side, dedicated agency accounts run the partnership.
Zero new headcount. Zero R&D budget. Zero software to maintain. No licence agreement. We are your subcontractor.
Never become the agency that overpromised AI
AI services create a second risk for agencies: selling results that cannot be defended. AVE Studio's reporting layer is designed to remove that risk. Every metric includes:
- its measurement basis;
- its sampling method;
- its confidence interval.
When a result cannot be verified, the report says so. It does not round up. It does not convert noise into a success story. It does not leave your team defending an unsupported claim in front of a major client.