Andrey S.
AEO/GEO maestro
I measure how ChatGPT, Perplexity, Gemini, Claude and Grok actually answer when your buyers ask — who gets named, who gets cited, and where you're absent. Then I fix what's fixable. I built the tooling I run this on, so a full baseline takes hours, not weeks. What I deliver • Visibility baseline — 20–40 branded and non-branded prompts across 5 engines, run repeatedly so you see the variance instead of one lucky screenshot. • Competitor share of voice — who the models recommend instead of you, in what context, with what sentiment. • Citation-source mapping — the third-party pages the models actually pull from. This is usually where the real work turns out to be, and it's the part most audits skip. • Technical and entity layer — crawlability for AI crawlers, structured data, entity consistency, internal linking, llms.txt. • A prioritised action plan — every item with rationale, effort, dependency and owner, so your SEO, content and dev people can execute it without me in the room. • Repeatable measurement — same prompts, same conditions, month over month, so an improvement can be proven rather than asserted. Why me specifically I'm an engineer, not an SEO consultant who bought a dashboard. I built my own AI-search monitoring platform — five engines, live scoring, full raw responses retained — which means larger prompt sets, real repeat sampling, and findings I can show you the underlying data for, not screenshots pasted into a slide. What I won't tell you I won't promise placement in AI answers. Nobody controls model output, and anyone who guarantees it is selling you something. What I will do is show you exactly where you stand today, what shifts the odds, and how to measure whether it actually shifted. Want to see it before you commit to anything? Send me your domain and I'll run the baseline first.
Earnings and projects
An estimate from an earlier read
Billed in all: $15,286$15k
Across 27 contracts
Earnings, last 30 days
No data since Nov 5, 2026.