AI Visibility for Marketing Teams
Add AI visibility to the channels you already report on.
Marketing teams already track search rankings, paid performance, email and social reach in detail. AI visibility is the newest channel in that mix, and today it's the one with the least existing tooling around it - most teams are reporting on everything except what AI assistants actually say about the brand.
That gap matters because AI answers are increasingly where research happens before a customer ever visits your site. A campaign can move search rankings and social engagement and still leave AI-generated answers completely unchanged, because nothing about AI visibility is inferred from those other channels - it has to be checked directly.
The reporting blind spot
When a stakeholder asks "are we winning in AI search," most marketing teams don't have a real answer - just a guess based on SEO performance, which doesn't reliably predict what an AI assistant will say. Without direct tracking, that question either gets skipped in the report or answered with an assumption that may not hold up.
Built for how marketing teams actually work.
One more line in the weekly report
Add AI mention rate, competitor visibility and share of voice alongside the metrics you already report on, without building a new process from scratch.
See campaigns reflected in AI answers
When a launch or campaign shifts brand awareness, daily tracking shows whether that shift is reaching AI-generated answers too - not just search and social.
Evidence for content decisions
See which prompts you're missing from before committing budget to content meant to close that gap, instead of producing content on a hunch.
Shared visibility across teams
Content, PR and product teams can all see the same AI visibility data, so decisions about messaging and positioning are grounded in the same evidence.
A defensible answer for stakeholders
When leadership asks how the brand shows up in AI search, you have an actual daily-tracked answer instead of an educated guess.
What this looks like week to week
Add the comparison and recommendation questions your customers actually ask as tracked prompts, alongside the competitors you already report on elsewhere. Each is checked automatically once a day. Most teams check in weekly: scan the mention-rate trend, note any new prompts where a competitor has started appearing, and pull the numbers into the existing marketing report - no manual re-checking required in between.
See how it works: how AI BrandSight tracks AI visibility → · view a sample report →
Common questions
Why do marketing teams need AI visibility tracking?
AI assistants are becoming a discovery channel of their own, alongside search and social. Marketing teams need to know whether their brand is part of that conversation, the same way they already track search rankings and campaign reach.
Can I add AI visibility to my existing reporting?
Yes. AI BrandSight tracks mentions, competitor visibility and share of voice, and lets you export that data into whatever reporting format your team already uses.
Does this replace my SEO or social listening tools?
No. AI visibility is complementary to SEO and social listening, not a replacement - it measures a different channel (AI-generated answers) that those tools don't cover.
Can I tie AI visibility to a specific campaign?
You can track prompts related to a campaign's messaging and watch the mention-rate trend before, during and after launch - though AI BrandSight measures what appears in AI answers, not campaign attribution in the marketing-analytics sense.
Who on the team usually owns this?
It varies - often whoever already owns SEO or brand reporting, since AI visibility sits alongside those existing responsibilities rather than requiring a new role.