Multi-market AI Visibility Sprint
One week. You find out what AI answers say about your brand in each market and each language, and where the picture falls apart.
Most AI visibility work happens in one language, then gets assumed to hold everywhere. It doesn’t. A model builds its picture of your brand from what it finds locally, and what it finds in French isn’t what it finds in German. So the brand reads as established in one market and improvised in the next.
Nobody sees this from inside a single market. It shows up when you look across all of them at once.
What this sprint is not
It isn’t a plan to win traffic from ChatGPT.
That traffic is small today, and anyone promising otherwise is selling you a forecast.
What generative answers give you is an early, unusually honest read on how each market understands your brand, well before that shows up in your Google performance.
The fixes are the ones that were always going to matter. You just get to see them sooner.
Who it’s for
Brands live in at least three markets, with at least one lagging.
Teams who’ve already had the “we should be in ChatGPT” conversation and stopped there, because nobody could say what came next.
What you leave with
What AI answers say about your brand, market by market and language by language
The sources they draw on, and who else is holding that space
The gap between your markets, named and evidenced
A prioritised plan, split into content, entity and local authority work, with its effect on classic search ranked alongside
A measured starting point you can come back to
What it does not cover
Implementation.
Content production.
Ongoing monitoring, which is separate.
How it runs
One briefing
A written deliverable
One session to walk through it
Async-first.
Ready to move forward?
→ Book a short assessment call to see whether we’re a good fit.
What my clients have to say