Our Personas Approach | AI search is personalized. Your visibility tracking should be too.

Our Personas Approach

AI search is personalized. Your visibility tracking should be too.

AI search is persona-based. Your visibility score isn't one number.

24.8%
Average brand visibility
±26.8
Std deviation across 1,145 brands
The standard deviation is larger than the mean. Brands are either well-covered or nearly absent in AI answers, with little middle ground. A single blended score hides which side you're on.

0% 25% 50% 75% 100% Lululemon avg: 64% Sustainable Fitness Advocate: 7.5% Mindful Studio Owner: 60% Wellness-Curious Newcomer: 62.5% Crossfit-to-Casual Dad: 71.2% Digital Wellness Influencer: 73.6% Active Empty Nester: 77.5% Hybrid Workout Enthusiast: 78.8% Corporate Wellness Warrior: 81.2% 7.5%

σ = 24.1 pts vs. 6.3 median across all brands
Sustainable Fitness Advocate 7.5%
Mindful Studio Owner 60%
Wellness-Curious Newcomer 62.5%
Crossfit-to-Casual Dad 71.2%
Digital Wellness Influencer 73.6%
Active Empty Nester 77.5%
Hybrid Workout Enthusiast 78.8%
Corporate Wellness Warrior 81.2%

Same brand. Eight personas. A 74-point spread. AI doesn't see one Lululemon customer, it sees many.

How it works

We ask the AI models who your buyers are

Gumshoe interviews AI about your category to uncover who they see as your ideal customers, and those personas become the synthetic users we use to generate your AI visibility audits.

  1. Gumshoe Interviews AI

Gumshoe queries LLMs about your company, brand, and category to uncover who they see as your ideal customers.

"Who buys Lululemon's activewear apparel?"

ChatGPT
Claude
Gemini
and more.

  1. AI Surfaces Your Ideal Customer Personas

The LLMs return profiles of who they see as your ideal customers. These become synthetic users within Gumshoe.

Performance-Focused Enthusiast
Trains hard, wants durable gear

Value-Conscious Newcomer
New to fitness, budget-minded

Adventure-Driven Explorer
Trail runner, sustainability-first

  1. Synthetic Users within Gumshoe Have Real Chats with AI

Gumshoe turns those personas into synthetic users and sends them to chat with LLMs, generating your AI visibility audits.

Most durable leggings for lifting?

answered
#1 Lululemon Everlux fabric with a squat-proof, no-bag waistband. #2 Athleta High-compression hold, no-slip bonded waistband. #3 Born Primitive Squat-proof and holds its shape wash after wash. Claude

Best-value gear to start out?

answered
#1 Gymshark
Durable, squat-proof fabric at a beginner price. #2 lululemon
Costs more, but lasts for years of training. #3 Athleta
Frequent sales on premium-quality staples. Gemini

Sustainable gear for trail running?

answered
#1 Patagonia
Recycled materials and trail-ready durability. #2 Athleta
Responsible fabrics with strong outdoor coverage. #3 lululemon
Solid performance, growing sustainability line.

Gumshoe doesn't scrape. Each synthetic buyer asks a real question, a model answers, and you see the brand it recommends back, persona by persona.

Competitive Advantage

Why Personas are Fundamental in AI Search

AI visibility measured one generic prompt at a time is incomplete and hides the answers that matter.

With personas
The Gumshoe way

Without personas
Every other tool

AI tells you who your buyers are
We ask the models directly about your personas, providing an additional layer of insight.

Personas are an afterthought
Competitors reverse-engineer personas from the responses their general prompts return, so personas come after the fact.

Know exactly who to fix
Mid-tier brand results vary widely across personas, making persona awareness vital.

Know only that the score moved, not why
"Invisible to everyone" and "wins with some, loses with others" look identical.

Every prompt is a buyer, not a search string
Personas frame visibility by audience type, the way a CMO, VP, and marketing team already thinks about customers.

An SEO tool for SEO people
Keyword and rank dashboards were built for SEO specialists. Marketers and VPs bounce off the numbers-heavy view.

Measure what real buyers actually see
API plus persona simulation replicates logged-in behavior: memory, custom instructions, context.

Measure the anonymous stranger
Scraping only sees the logged-out view. Most of ChatGPT's 800M+ weekly users are logged in.

3 dimensions
models × prompts × personas

2 dimensions
models × prompts only

Manage your personas inside Gumshoe

Review and refine the synthetic users Gumshoe builds, then see how visible your brand is to each one.

Manage Personas

Review and edit the personas that AI thinks are your real buyers and add new ones that are missing.

Persona Analysis

Overall brand visibility plus a per-persona breakdown, so you see which buyers already find you.

Single Persona Details

A deep dive on one persona: visibility, bio, top sources, and how visible you are on each of their topics.

Topic heatmap

A persona-by-topic heatmap showing where you are visible and where competitors get recommended instead.

170,000+ Personas analyzed and counting

What Personas Matter in AI Search and Visibility

AI search engines personalize brand recommendations based on who is asking. Nick Clark, Research Engineer & PhD Student at Gumshoe, explains how persona-based visibility monitoring works in the video below.

Frequently Asked Questions

What is a synthetic user?

A synthetic user is a buyer persona that AI models associate with your brand. Gumshoe asks the major AI models who is asking about your category, then turns their answers into personas it can chat with. They represent what AI thinks your buyers are, not our opinion.

Where do the personas come from?

Gumshoe queries multiple AI models to find the buyers they already tie to your brand, then builds a synthetic user for each one. You can review and edit every persona, or add your own to match how your team segments buyers.