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.
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
UpShift needed a better way to answer the questions automotive 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 automotive 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 topics that matter
UnderAI groups prompts around the needs and subjects behind them, then uses established search-demand data as a directional proxy for relative customer interest. This helps us distinguish strategically important topics from low-value “zombie prompts”
The audiences that matter
AI responses are shaped by context. UnderAI lets us analyse important questions through defined customer personas, revealing how recommendations and brand visibility change when needs, circumstances or priorities differ.
For an automotive brand, the
The attention that matters
UnderAI looks beyond whether a brand appears. It considers the context and prominence of that inclusion, helping us distinguish a meaningful recommendation from a brief mention at the edge of a response.
Outcome: Understand where your brand is genui
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.
Supporting feature points:
- 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 UpShift uses UnderAI
Insight is only useful when it changes what you do
UnderAI is operated by UpShift 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
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
| UnderAI | Other Tools | |
|---|---|---|
| Persona Driven | ✅ | ❌ |
| Opportunity Finder | ✅ | ❌ |
Built for complex automotive decisions
UnderAI is most valuable for automotive businesses whose customers research, compare and seek reassurance before taking action.
Vehicle manufacturers and new market entrants
Understand how different customer groups encounter the brand, its models and its proof points – especially when building consideration in a competitive or unfamiliar market.
Dealer groups and automotive retailers
See where AI platforms surface the group, its inventory, locations and expertise, and where national competitors or marketplaces are capturing more attention.
Leasing, finance and mobility providers
Identify how AI explains complex propositions, which providers it recommends and whether the brand appears for the questions customers ask before they are ready to enquire.
Automotive services and aftermarket brands
Understand visibility across need-led questions where trust, expertise and third-party authority strongly influence customer choice.
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.