Hover Case Study

AI Brand Discovery & Perception

AI assistants and agents are creating a new layer between brands and their customers. How those tools perceive your brand is a new frontier of consumer discovery that companies need to anticipate, design for and monitor.

Ideal BookshelfArtist-led retailBrand strategy × AI
A hummingbird hovers beside a framed Ideal Bookshelf print of illustrated book spines on a wood-paneled wall

The Challenge

More shoppers now ask AI what to buy as a form of search. The team at IdealBookshelf.com, home of Jane Mount’s illustrated bookshelf products, wanted to know what those assistants say about their brand.

Our approach

We first started with a brand audit that surfaced a gap upstream of AI: how Ideal Bookshelf should be perceived was known but not written down. So, we built a brand bible capturing Jane’s voice, values and credentials, and how the shop and the artist relate as two brands.

With that as the yardstick, we did a baseline audit and asked the same eight questions across five AI platforms. We implemented a series of changes leveraging the brand bible, so we could separate strategy gaps from expression gaps and re-ran the audit 90 days later.

We delivered

  • Brand bible: the first clear articulation of how Ideal Bookshelf should be perceived, grounded in Jane’s authentic voice and point of view.
  • AI perception & brand discovery audit: baseline & 90-day audit across ChatGPT, Perplexity, Gemini, Google AI Mode & Claude
  • Brand-led content rewrites, plus the groundwork AI tools need for discovery
  • A repeatable measurement model: questions, citations & AI-referred visits
  • A prioritized path from “known by name” to “found by need”

Taking Flight:Quantitative Impact

Ask AI where to get a custom illustrated print of your favorite books, and three of five platforms now name Ideal Bookshelf first. AI-referred traffic grew 64% while overall traffic rose 12%.These signals are consistent with the work, not proof it caused them.

TAGS: AI brand perception audit brand authenticity brand bible category entry points cross‑channel consistency measurement baseline

Why brands should care

AI retells a brand’s story from everything written about it, and it’s candid about the gaps. This audit surfaced five patterns any brand can learn from.

01

Known by name, absent by need

The insight

Asked by name, every platform described the shop largely correctly.

Asked for a meaningful gift for a reader, it went missing almost everywhere.

The so what for brands?
Recognition isn’t positioning. The brand must be anchored in the moments when people actually buy.
02

A split story

The insight

The shop and the artist are two brands with one voice. Asked for the best gifts for book lovers, two platforms recommended Jane’s book, not her shop.

The site, Etsy and janemount.com each told the story a little differently.

The so what for brands?
Brand architecture is a perception problem, too. Credibility earned by one brand doesn’t pass to another on its own, and AI won’t connect them for you.
03

A credibility vacuum

The insight
The credentials were real: Reese’s Book Club illustrator, books with major publishers, national press. They just weren’t stated where AI looks, so AI filled the gaps with invented products, resellers and prices.
The so what for brands?
Unclaimed proof gets claimed by someone else. If your authentic story isn’t discoverable, AI will tell a plausible one, not a true one.
04

The category default goes elsewhere

The insight
Asked for a unique personalized gift, every platform recommended custom embossers. Two assistants sent custom-print shoppers to Etsy sellers.
The so what for brands?
Your difference isn’t legible. When AI can’t explain why you, it reaches for whoever is easiest to describe.
05

A story that isn’t useful

The insight
We rewrote the About page to tell the brand story more clearly. Ninety days later, AI assistants cited it no more often than before. The pages they did cite were useful ones: the freebies and the custom print page.
The so what for brands?
Brand story has to live inside useful, specific content. Told on its own, it doesn’t travel.

What is AI saying about your brand?

An audit like ours shows brands where they have gaps in two core problem areas:
either the strategy exists but isn’t perceived accurately by AI, or a strategic decision was never made. The first calls for activation; the second calls for strategy.

The audit tells you which you’re facing.