ENGINEERING INTELLIGENCE. EARNING TRUST.
We measure how AI systems present your company, then improve the content, structured data and sources that shape those answers.
Short answer
PHOENIX VERUS is a Greek AI and Answer Engine Optimization company based in Greece. We measure how AI systems such as ChatGPT, Gemini, Perplexity and Claude describe a company, then improve the content, structured data and third-party sources that shape those descriptions. We also build the software behind it: AI agents, automation and data platforms.
A growing share of research before a purchase now happens inside an AI assistant rather than on a page of links. These systems do not return a ranked list for the buyer to evaluate; they generate an answer and name a small number of companies inside it.
That changes what visibility means. There is no placement to buy inside a generated answer, and the factors that decide which companies get named are different from the ones that decide search rankings. The work is to become one of the sources the system relies on.
How the measurement works| Search ranking | AI answers | |
|---|---|---|
| What is won | A position in a list of results | Being named within the generated answer |
| What decides it | A ranking algorithm | A retrieval and generation step |
| What is rewarded | Relevance and links | Entity clarity and corroboration |
| Whether it can be bought | Yes, through advertising | Indirectly — through backlinks and published coverage |
| How it is measured | Position for a keyword | Mention rate across a defined prompt set |
We publish measurements we produce ourselves rather than reproducing figures from vendors. The first Greek AI visibility index is in preparation.
The practice is built on visibility in AI systems and the engineering that supports it. Everything else follows from those two.
Measuring how AI systems represent a company across a defined set of buyer questions, then improving the entity, content and structured data behind those answers. Covers answer engine optimization, LLMO, generative engine optimization and the monthly measurement underneath all three.
The software that makes the rest work: AI agents and process automation, chatbots answering from a documented knowledge base, custom applications and the modernisation of systems that cannot simply be replaced.
Google Ads, GA4 and server-side conversion tracking, managed against margin. Plus AI consulting and governance work under the EU AI Act where a company needs a decision rather than a build.
Your standing across the major AI systems, what your site serves without JavaScript, and where your entity is corroborated. About a week. You get the findings whether or not we continue.
A written plan with priorities, expected timelines and what it costs. No retainer starts before you have seen it.
Monthly work against the plan, with a dashboard you can open any day rather than a PDF you receive once a month.
PHOENIX VERUS was built by two people with different disciplines and one shared standard: nothing reaches a client that cannot be shown, checked and explained.
Founder, CEO & Chief AI Officer
Taxiarchis founded PHOENIX VERUS and defined the method it runs on. He was among the first in Greece to practise answer engine optimization professionally, and he now applies it across European markets — for enterprise accounts and owner-led businesses alike.
He leads measurement and engineering: AI visibility tracking across ChatGPT, Gemini, Perplexity and Claude, answer engine and large language model optimization, Google Ads and analytics, and the agents and platforms underneath. The measurement software is built in-house rather than licensed, so every number a client is shown can be opened and interrogated in the room.
More about TaxiarchisDigital Growth & Partner
Afroditi founded Sustainable Growth and leads growth at PHOENIX VERUS. Sixteen years in marketing and project management, more than 250 growth campaigns across twelve industries, and Chief Marketing Officer mandates at Acrotel Hotels & Resorts and Atlas Consulting.
She turns strategy into work a team can actually execute: the positioning first, then the message, the campaign architecture, the sequence, and a named owner for every step. That order decides the technical outcome as well — a company that cannot state plainly what it is will not be classified cleanly by a language model either.
More about Afroditi
Send us the brief or book a short call. You get concrete next steps in reply.
SEO gets a page ranked in a list of results. AEO — answer engine optimization — gets a company named inside the answer an AI system writes. The foundations overlap: crawlable HTML, clean structure, real expertise, schema markup. After that they diverge, because answer engines reward entity clarity, citable statements and consistency across sources far more than keyword placement or link volume.
With a call and an audit. We look at how visible you are today across ChatGPT, Gemini, Perplexity and Claude, what your site actually serves to a non-rendering crawler, and where your entity is corroborated. It takes about a week.
You keep the findings whether or not we work together.
Measurement is immediate — you see what was invisible before on day one. Technical and entity work lands within weeks. Being named more often inside AI answers is slower, because it depends on corroboration across sources you do not control, and anyone promising a fixed date is guessing.
Yes — Greek, English and German, with the full page structure in each. Content is written for each market rather than translated from one, because a machine-translated page ranks briefly and is then outperformed by anyone writing natively.
AEO packages and chatbot builds are published on the pricing page, because a company searching for a price deserves to find one. Automation projects are quoted, but the cost drivers are published too, so you can work out roughly which band you are in before you talk to anyone.
The measurement takes about a week, and the findings are yours to keep.
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