You're Reading

Isn't The Problem

The problem is the one your competitor is reading right now.

See Who's Watching Your Category

Hundreds of brands are monitoring their AI visibility right now

The Invisible War

Right now, three things are happening:

A competitor is being recommended instead of you

AI models are answering questions about your category. Your name isn't coming up.

Your category position is drifting

You were #2 last quarter. You're #5 now. The models didn't send you an email.

You won't notice until pipeline drops

By the time you see it in revenue, you've already lost 90 days of visibility.

This has already happened to:

#2 CRM platform → dropped to #5 in 90 days

Leading marketing automation tool → lost 40% Claude visibility

Top project management software → overtaken by 3 competitors

Real Losses

Case 1: The Silent Decline

BEFORE OUTCITED

  • • Ranked #2 in "Reservation-systems" across all models
  • • Strong SEO, healthy ad spend
  • • Pipeline mysteriously declining
  • • No idea why conversions dropped

WHAT OUTCITED FOUND

  • • Dropped to #5 in premium models
  • • Lost 18% visibility in 3 months
  • • 3 competitors had overtaken them
  • • Enterprise buyers couldn't find them

AFTER 90 DAYS

#2
Position Recovered
+22%
Premium Visibility
+15%
Qualified Demos

Q4 Saved

Cost of Waiting: If they'd waited another quarter: ~$2M in lost pipeline based on their deal size and conversion rates.

Case 2: The Geographic Blind Spot

What They Didn't Know

Their brand was invisible in Gemini (Google's AI) while strong in ChatGPT.

Why It Mattered

Certain markets heavily use Gemini. They were spending millions in ads but AI was recommending competitors.

The Fix

Optimized for Gemini's preference for specs/reviews. +30% visibility in 60 days.

Revenue Impact

Previously underperforming markets became top performers. Attribution showed direct correlation to AI visibility improvements.

Case 3: The Competitor Who Knew First

Two equal competitors. Similar products, similar spend, similar SEO.

The Difference: One monitored AI visibility. One didn't.

Monitoring Brand

  • • Maintained #1 position
  • • Expanded to 3 new categories
  • • Caught drift early, corrected fast
  • • 25% YoY growth in pipeline

Non-Monitoring Brand

  • • Dropped to #4 position
  • • Lost 25% share of recommendations
  • • Didn't notice for 6 months
  • • Now playing catch-up

The Kicker: The #4 brand didn't know they were falling until their CMO saw this case study and checked their score.

Don't Be The One Who Finds Out Last

📊 The Data Doesn't Lie

Brands That Monitor AI Visibility

  • • Detect problems 60 days earlier
  • • Recover 30% faster from drift
  • • See 15% higher close rates

Brands That Don't

  • • Lose ground for 90+ days before noticing
  • • Spend 3x more to recover position
  • • Blame "the market" instead of AI memory
4 months
Average time to notice drift without monitoring
$1-5M
Average pipeline lost in that time
90 days
Head start your competitors have on you

Hundreds of brands checked their scores while you read this

10 of them are in your category

Who's Already Tracking AI Memory

These companies can't afford to be invisible

B2B SaaS

34% of users

"We can't afford to be invisible when buyers research in ChatGPT"

Enterprise Software

28% of users

"Claude is the new G2. We need to rank there."

E-commerce/DTC

18% of users

"Gemini recommendations are driving 20% of product discovery"

Professional Services

12% of users

"Consultants are using AI to build vendor shortlists"

Industrial/Manufacturing

8% of users

"Engineers are using AI for component selection"

The Question Isn't

Whether To Track AI Visibility

The question is: How much pipeline will you lose before you start?

• Your competitors are already checking

• Your customers are already asking AI

• Your category is already shifting

The only question is whether you see it happening.

Check Your Brand's AI Visibility - Free

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