Share-of-answer auditing
We prompt every major model against your commercial query set on a fixed schedule and log which brands and sources get named. That baseline is the whole programme.
A growing share of “best online casino” research never touches a blue link. We engineer the entities, citations and structured data that ChatGPT, Gemini, Perplexity and AI Overviews actually pull from.
Your brand named in AI answers for the queries that convert — and reporting that tells you your share of those answers against each competitor.
We prompt every major model against your commercial query set on a fixed schedule and log which brands and sources get named. That baseline is the whole programme.
One unambiguous machine-readable identity for your brand across Wikidata, Crunchbase, licence registers, review platforms and your own schema.
Models disproportionately cite a small set of sources per topic. We identify which ones your category's answers draw on and earn presence there.
Organization, Product, Review, FAQ and HowTo markup that resolves cleanly, plus llms.txt and clean, extractable content structure.
Position tracking is not enough when the SERP has an answer block above it. We track presence, citation and sentiment separately.
When a model repeats something inaccurate or damaging about your brand, we work the sources behind that answer rather than complaining about the output.
Same sequence every time, adjusted for your market and licence. No improvisation billed as strategy.
A fixed prompt set across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode. We record who is named, what is cited, and what is said about you.
Reverse-engineer which domains the answers in your category actually draw on. It is rarely the same set that ranks first in the classic SERP.
Resolve conflicting brand data across the web, tighten schema, make ownership, licensing and provenance unambiguous.
Targeted placement and PR on the specific sources feeding your category's answers — which overlaps with link building but is scored differently.
Monthly: how often you appear, in which models, cited from where, and how that moved against your three closest competitors.
It overlaps, but the scoring is different. Classic ranking rewards the page; AI answers reward the entity and the source. A page can rank third and never be cited, and a domain can be cited constantly while ranking eighth. Optimising for one does not automatically deliver the other, which is why we track and report them separately.
No, and anyone who does is guessing. Answer generation is non-deterministic and changes without notice. What we can do is move the inputs — entity clarity, citation presence, structured data — and show you the measured change in appearance rate over time.
Increasingly, yes, though the models apply extra caution on gambling and often route to comparison and review sources rather than operators directly. That is precisely why the source layer matters more here than in most verticals.
Tell us the market, the licence and the keywords. You will get a scoped plan and a price inside five working days.
Nicosia, Cyprus · replies within one business day · NDA on request
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