.png)
Most marketing and communication leaders are now tracking how their brand shows up in AI-enhanced search, where it gets cited, by which models, and in response to which queries. Plenty of tools to help you visualize that presence.
Knowing where a brand stands is one thing. Knowing what changes that position is another. Most organizations find themselves with dashboards full of data and no clear answer to the only question that matters: what do we do about it?
We’re launching AcroAnswers because understanding AI visibility should give marketing and communications leaders a full picture: where they stand, why they show up the way they do, and what to do next.
Visibility Is More Than Showing Up
“Does our brand appear in AI-enhanced search?” is the natural starting point but the more important questions come next.
How often does it appear? Does it appear when a buyer hasn't named the brand? What does AI say about it? Which competitors appear alongside it? What topics and ideas does AI associate with the brand?
Those distinctions matter because a brand can have strong visibility in branded prompts while remaining virtually invisible in the unbranded questions that shape the earliest stages of a buyer's journey.
AcroAnswers measures AI visibility across more than 267 unique prompts and 30,000 AI responses per brand each month across ChatGPT, Gemini, Claude, and Perplexity. It examines branded and unbranded prompts across awareness, consideration, conversion, topical relevance, and reputation.
The goal isn't to create another complicated dashboard, but to make the overall picture clearer.
from "where do we stand?" to "Now what?"
The first generation of AI visibility measurement established an important baseline: easy to understand scores that let brands understand how they appeared in AI-generated answers.
But a score without context fails to answer the crucial question of "Now what?”
AcroAnswers was rebuilt around answering that question. Its simplified measurement framework looks at four dimensions:
-
Brand Visibility — How frequently does the brand appear in AI-generated responses compared with competitors?
-
Prevalence — How consistently does the brand surface across relevant questions and stages of the buyer journey?
-
Perception — How does AI characterize and describe the brand?
-
Topic Adjacency — What topics, companies, and ideas does AI associate with the brand?
Together, these lenses provide a more complete picture of AI visibility. More importantly, they create a bridge from measurement to action.
the buyer journey is changing. measurement has to change with it.
A B2B buyer doesn't ask one question.
They move through a sequence of questions: What is this category? Who are the leading companies? Which vendors are best for this problem? What are the risks? Who should I trust?
AcroAnswers structures its prompt library around that progression.
It measures both aided and unaided visibility, allowing organizations to see whether they appear when a buyer searches for them by name, and whether they surface when that buyer doesn't know which brand they are looking for.
If a company only measures branded visibility, it can miss the far more consequential question: Are we part of the conversation before the buyer has decided who belongs in it?
the answer isn't an aI tactic. It's a better marketing communications strategy.
AI visibility is sometimes framed as a new technical optimization exercise. But the underlying challenge is fundamentally about communications.
If AI models are building consensus from the information available across the ecosystem, organizations need to understand which narratives are reaching those models, which sources are shaping perception, and where gaps or contradictions exist.
That means earned media, owned,social, and community conversations all matter. So does paid media when it’s used to reinforce a broader, united narrative, as opposed to attempting to manufacture one.
AcroAnswers connects AI visibility findings directly to those channels, helping teams understand where investment can have the greatest impact.
The question isn't simply "How do we optimize for AI?"
It's "How do we build the kind of credible, consistent narrative that AI can understand and that our audiences can trust?"
What this means for marketing & communications leaders
AI-generated answers are part of the information environment that shapes brands, markets, and buying decisions. Ignoring that environment doesn't make it less influential.
The organizations that get ahead will be the ones that establish a measurable baseline for visibility and connect that measurement to their marketing and communications decisions.
Knowing what AI says about your brand is useful.
Knowing why it says it — and what to do next — is where the advantage begins.
AcroAnswers is available through Highwire. To learn more, visit teamhighwire.com/acroanswers.
.png)
