From invisible to owning the answer
Meet Katya — an animation graduate building a career in a crowded London creative scene. When studios, collaborators and recruiters looked her up through AI, it either didn't know she existed or returned someone else entirely. Here's the three-step shift once we rebuilt her AI presence — shared with her permission.
Asked “who is Ekaterina Yushkina?”, Google's AI said she wasn't a prominent public figure at all — and offered up a hotel PA in Moscow, an academic researcher, and a fashion model who happen to share the name. Zero presence of the real Katya.
As we built consistent, citable sources, the AI began to recognise the real Katya — a London animation graduate — though she was still tangled up with the wrong matches.
Now the AI leads with the correct person — “an animator and digital artist based in London” — with her real education and work, citing her own sources. The wrong matches drop to a footnote.
What we did
We rebuilt the footprint the AI engines learn from: a clean, structured portfolio site as the canonical source of truth, consistent naming and bios across every profile that mentions her, and the right signals connecting them so the engines could tell which “Ekaterina” is which. No fabrication — just making the real, verifiable story easy for AI to find, trust and cite.
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