Taxiarchis Vafeas

Practice

The work divides into two halves that are usually sold by different firms. One is demand that exists today: paid search, analytics and conversion measurement. The other is demand that is being redirected through AI assistants: measuring how those systems describe a company, and improving the entity, content and structured data that shape that description.

He builds the measurement rather than licensing it. Every figure presented to a client traces to a system he can open in front of them, which is the reason the two halves stay one engagement instead of becoming two vendors.

Background

He entered commerce before he entered marketing. At 19 he was working with business owners on Amazon listings and sales operations; at 20 he founded his first company, which put marketing, team leadership and cash management in front of him as operating requirements rather than subjects.

A period of testing business models followed — affiliate, dropshipping and e-commerce — each of which functioned as applied study in customer acquisition and conversion economics. Google Ads is where the work turned technical, and where performance marketing became the specialism.

The formal training came through Meta's Expert Program, where he served as Team Leader, and Google's Customer Success Program. Across the career the exposure spans more than twelve industries, with the deepest work in hospitality, professional services and e-commerce.

Areas of expertise

Answer engine optimization and LLMO

Entity resolution, structured data, extractable content formatting, and monthly measurement across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews.

Google Ads and performance

Search, Performance Max and Shopping, managed against margin rather than click volume. Account rebuilds and second opinions as well as ongoing management.

Analytics and measurement

GA4 configuration, server-side tagging and consent-compliant conversion tracking that survives browser policy changes.

AI agents and automation

Process automation, chatbots with source attribution per answer, and the platforms underneath them.

Governance

EU AI Act readiness and data-integrity practice for companies deploying AI in production.

Published positions

Two positions appear consistently in his client work and are stated here so they can be checked rather than assumed.

On AI search: Google's own documentation states that there are no additional technical requirements and no special optimisations needed to appear in AI Overviews or AI Mode — a page must simply be indexed and eligible to show with a snippet. The practical consequence is that most of what is sold as "AI SEO" is ordinary technical SEO with a new invoice, and the genuine differentiators are entity clarity and third-party corroboration.

On llms.txt: publish it, because it costs twenty minutes and is a defensible bet on agentic retrieval. Do not buy it as a ranking factor. Google has stated on the record that it does not use the file.

Contact

Email taxiarchis.vafeas@phoenixverus.com, or book a 30-minute call.