Currents methodology
How Currents measures what AI tells travelers
A visibility number is only worth trusting if the questions are fair, the panel is consistent, and the evidence is kept. Here is the discipline behind every number in your report.
Three questions, three jobs.
Every Currents benchmark looks at your place through three lenses. Blind discovery asks the questions travelers ask before they know you exist, and your name appears nowhere in them. Named questions ask what AI tells travelers who are already looking at you. Peer questions ask where AI places you when travelers weigh their options.
Each lens has one job, and only blind discovery moves Answer Share. Your score can’t be flattered.
Built from a model of your place.
Your agents don’t run a generic question list. They build a working model of the place you market: the audiences you draw, the seasons that matter, the trips people plan, the markets they come from. The benchmark is generated from that Place Model, which is why two hotels on the same street get two different benchmarks. And the model isn’t hidden: it sits right in your report, so you always know what your benchmark is built on.
Your feeder markets, built in.
A traveler deciding from Seattle plans differently than one deciding from Dallas. Currents asks the way travelers from your feeder markets actually ask, so your Answer Share reflects the audiences you actually draw.
Generated for your place
“Where should travelers from Seattle go in Southern California for a food-and-culture long weekend?”
One of your blind discovery questions. Your name is nowhere in it. That’s the point.
One engine is an anecdote. A panel is a measurement.
The same questions run across ChatGPT, Claude, Gemini, and Perplexity. That’s hundreds of real answers every run, all of them kept. And because AI answers move, your agents keep running, week after week, so you see trends instead of snapshots.
Same questions · Every engine · Week after week
An answer is only as good as its sources.
Currents checks what AI leans on: your official pages, partners, media, and third-party sites, grounded in live search where it matters. That’s Authority Share: which voices are shaping your answer, and whether yours is one of them.
Keep the receipt.
Every question keeps its receipt: the question asked, the engine that answered, when it answered, what it said, who got mentioned, and what it cited. Every figure in your report opens back to real answers. No black box.
Question
“Where should travelers from Seattle go in Southern California for a food-and-culture long weekend?”
Engine
Perplexity
Observed
This week’s run
Mentioned
Yes
Answer excerpt
“...for a coastal long weekend, La Jolla stands out: walkable coves, tide pools, and standout dining in a small village footprint...”
Citations
lajolla.travelafar.com
Every figure opens back to answers like this
Grounded in your official story.
Your agents read your website the way AI reads it: your homepage, your key pages, your sitemap. Every gap in your report is a specific place where AI needed support and your official story went quiet. Not generic advice.
Your pages → your gaps → your fix
From measurement to action, in your voice.
A score tells you where you stand. It doesn’t write the fix. Currents turns every gap into an action with a draft already started, written in your voice, because your agents learned it from your own site. You review, you publish, you take the credit. Nothing ships without you, and nothing starts from a blank page.
Drafted for you · Published by you
Evidence, not guesswork.
When you ship a fix, it doesn’t disappear into a dashboard. Completed work sits beside the answers that follow, so you can show your board the trail: what was asked, what changed, what AI says now.
Run your first AI Snapshot.
See where AI includes you, where official support is thin, and the first fix ready in your dashboard.