The topics that matter
UnderAi groups prompts by the needs behind them, then uses search-demand data as a proxy for customer interest. This separates strategically important topics from low-value "zombie prompts".
Being mentioned by AI does not necessarily mean you are being seen
Many AI visibility tools count prompts, citations or brand mentions. These are useful signals, but on their own they can give a misleading picture of performance.
Not every prompt has the same commercial value. Different customers can receive different answers to the same underlying question. A passing brand mention is not equivalent to being central to the recommendation. AI responses also vary, so an isolated daily result can look like a meaningful change when it may simply be normal fluctuation.
The result is more reporting, but not always more clarity about where to invest.
Where AI visibility reporting falls short
1.
Prompts are treated equally
A rarely used question can carry the same weight as a topic with significant customer interest.
2.
Customers are averaged together
A generic response can hide major differences between the needs, priorities and context of valuable audience groups.
3.
Mentions are mistaken for visibility
Being named briefly is not the same as earning meaningful attention or influencing consideration.
Why we created UnderAi
We needed a better way to answer the questions marketers actually face: Which customer needs are we visible for? Which audiences receive a strong or weak brand story? Where are competitors earning more attention? Which website, content and authority gaps should we prioritise?
UnderAi was developed to bring those questions into the measurement. It combines structured AI response analysis with sector expertise, audience context and wider demand data, helping our teams move from a visibility score to a prioritised marketing response.
The three core differences
The audiences that matter
AI responses are shaped by context. UnderAi analyses questions through defined personas, so customers with different needs, budgets or priorities can see different recommendations for the same question.
The attention that matters
UnderAi looks beyond whether a brand appears to the context and prominence of its inclusion. Outcome: understand where your brand is genuinely recommended, not just mentioned.
Built on repeatable measurement
AI responses are not fixed rankings. The same question can produce variations in structure, emphasis and brand inclusion, even when the input is unchanged.
UnderAi repeats and analyses responses to build a more dependable view of performance. Rather than encouraging reaction to every daily fluctuation, our approach helps establish a baseline, identify repeatable patterns and review meaningful changes when models or marketing inputs evolve.
With UnderAi, our specialists can:
- Analyse strategically important prompts by topic, audience and market.
- Compare visibility and attention across relevant competitors.
- Explore custom prompts for specific products, launches, questions or languages.
- Filter findings to answer more focused client and campaign questions.
- Review performance across supported leading AI models.
How Evolved uses UnderAI
Insight is only useful when it changes what you do
UnderAi is operated by Evolved specialists and used within our wider strategic and delivery work. Clients receive the findings, interpretation and recommended actions without needing to learn another platform or decide what an isolated metric means.
From insight to action in three steps
1.
Frame the commercial question
We define the priority audiences, topics, competitors, markets and business outcomes the analysis needs to support.
2.
Measure the real gaps
UnderAi analyses how the brand is represented across relevant AI responses, with persona, demand and response context included.
3.
Turn findings into action
Our specialists connect the evidence to a prioritised plan across website structure, content, technical performance, digital PR and wider campaign activity.
How UnderAi compares
Most AI visibility tools report on prompts and mentions. UnderAi measures what those numbers miss.
- Persona-driven analysis: we measure how AI answers the questions real customer types ask, not a single averaged response.
- Opportunity finding: we show where your brand could earn more attention, not just where it appears today.
What it can help answer
UnderAi can help our clients understand:
- which customer questions and topic areas deserve priority;
- how AI represents the brand to different audience groups;
- where competitors receive more prominent or persuasive coverage;
- whether the brand is central to an answer or only briefly mentioned;
- which facts, proof points or customer needs are missing from owned content;
- where authoritative third-party coverage may need to be strengthened;
- how a new model, proposition or market is represented before and after launch;
- how AI visibility findings should influence SEO, content, digital PR and website priorities.
Brands we've helped
