For Brand, Marketing and Insight teams

Your buyers are forming their shortlists inside a conversation you can’t see.

Nova lets you observe and test what happens when your brand is in that conversation. It reveals who brings you in, what the AI says about you, how you fare against competitors, whether the buyer engages with you, dismisses you, selects you or doesn’t register you.

Questions Nova was built to answer

Mental availability

Do buyers ask for us, or does the AI bring us in?

Nova separates the brands buyers bring with them from the brands the AI proposes.

Apple was raised by the buyer in 13 of 32 sessions. Acer was raised by the buyer in none of the 32 it appeared in.

Consideration

Once the AI proposes us, do buyers engage with us?

A mention says nothing about the buyer's reaction. Follow-up shows whether buyers engaged with the brand once it was mentioned.

117 of 229 brand appearances raised by the AI were named, then met with silence from the buyer.

Preference

Do we end up as the final pick when the chat ends?

Nova can compare each buyer's pre-conversation shortlist against the brands they end the chat with. You see which brands buyers arrived with, which they left with, and which the conversation swapped in.

Perception

What does the AI say about us when we come up?

Every claim the AI makes about your brand, by topic, tone and firmness, compared with your rivals.

Price made up 24% of the AI's claims about Apple, against 14% for its rivals.

Message pull-through

Is the AI reflecting our messaging?

Nova lets you compare the AI's claims against your key messages, and shows how buyers react.

Display made up 15% of the AI's claims about ASUS, against 10% for its rivals.

Objections

Where do buyers dismiss us or ignore us, and why?

Nova pinpoints when and why the buyer dismisses, passes over or outright ignores the AI's brand proposals, and shows which brands are affected.

Buyers turned Apple down in 11 of 32 chats. Price was the reason in 5.

Distinctiveness

Are there themes or patterns in how and why the AI proposes us?

Some brands come with a clear story when the AI chooses to bring them up. Others arrive buried in a list or table.

The AI gave Acer no clear theme. It still did as well as rivals the AI brought up with it.

The buyer's brief

Which buyer needs or questions lead the conversation before any brand shows up?

Opening prompts, and the long tail of buyer messages that follow, expand and refine what the AI understands about each buyer's budget, needs and context. That is what steers the conversation and decides where it ends, and it is a path no set of written test prompts can map in advance.

Only 12 of 75 opening requests named a brand.

Source for all figures: Nova: Laptops UK, 2026 Q3. 75 laptop buyers.

Alongside your tracker.

Your brand tracker shows where your brand stands over time. Nova uncovers a major channel where consideration now forms and falls apart, outside the tracker's view. Nova complements your existing tracker by accounting for the AI channel.

Which study fits.

Observational

See what happens

For the picture: where you stand in your category, and why.

Experimental

Test what would change it

For a decision: what changes when the AI carries your brand or message.

Work with us

Which question would you ask first?

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