Measurement-first AEO for B2B SaaS

Know your odds. Then move them.

We measure how often ChatGPT, Gemini, Perplexity, Claude, Google AI Mode, Microsoft Copilot and Meta AI recommend you for the questions your buyers actually ask. Then we raise those odds with fixes we can prove.

What your buyers are asking AI right now

Illustrative examples

  • Which CRM works for a 10-person sales team?
  • Best SOC 2 automation tool for a seed-stage startup?
  • What should we use instead of spreadsheets for revenue forecasting?
  • Which product analytics tool is easiest to set up?
  • Top customer support platforms for B2B SaaS?
  • Is there a cheaper alternative to our onboarding tool?
  • Which data warehouse fits a 20-person startup?
  • Best tool to automate customer interviews?
  • Which billing platform handles usage-based pricing?
  • Which feature-flag tool do startups use?
  • Best way to monitor API uptime for a small team?
  • Which HR platform works for a remote team of 40?

Measurement-first, by design.

Pop Sota measures how often ChatGPT and six other assistants recommend your brand, then raises those odds with fixes we can prove.

Measured on all seven.

  • n=400
  • ±5 pts

The shift

Your buyers ask AI before they ask you.

Software shortlists now start in ChatGPT, Gemini, Claude and Google's AI Mode. The answers are unstable, the traffic is small but valuable, and most analytics can't see it.

1B+

weekly ChatGPT users

Source: The Next Web, September 2026.

1B+

monthly users of Google AI Mode

Source: Alphabet Q2 2026 results, July 2026.

<1%

chance an assistant gives the same brand list twice

Source: SparkToro and Gumshoe, January 2026.

+60%

better conversion from AI-referred retail visitors

Source: Adobe Analytics, July 2026.

Odds, not ranks

One answer is an anecdote. Twenty is a measurement.

We ask each assistant the same buyer question 20, 100, even 400 times and count how often it recommends you. More runs, tighter range. A change only counts when it clears the range and beats our control clusters.

Method

Mine. Sample. Trace. Move.

  1. 01

    Mine

    Your buyers' real questions, from your own calls and tickets.

  2. 02

    Sample

    Each question asked 10–20 times on all seven assistants.

  3. 03

    Trace

    The sources each answer leans on, ranked.

  4. 04

    Move

    Disclosed fixes, re-tested monthly against control clusters.

How we measure

Pricing

Published prices. No annual lock-in.

Start with a 10-day baseline. If the numbers say it's worth it, pick a plan: 90 days, then month-to-month.

Odds Baseline

Find out where you stand before you commit to anything.

$3,900 one-time

10 business days from receiving your data

8–12 buyer-question clusters, 7 assistants, one readout

  • Buyer Questions: 8–12 clusters (40–60 prompts) built from your own sales calls and support tickets
  • Odds Sheet: how often each assistant recommends you, per cluster, with error bars, plus who it recommends instead
  • Source Map: the 10–20 sources that most influence each cluster

Credited in full against month one if a retainer starts within 30 days of the readout.

Category

For Series B companies in contested categories.

$11,500 / month

90-day first term, then month-to-month with 30 days' notice

6 or more clusters worked, 8 fixes a month

  • Everything in Growth
  • A digital PR program of about 4 earned placements a month
  • A full attribution build joining AI referrals, survey answers and CRM opportunities

Advisory

Your team does the work. We supply the method and the measurement.

$2,500 / month

90-day first term, then month-to-month

Up to 5 clusters measured, your team executes

  • A monthly Odds Sheet for up to 5 clusters
  • A Source Map refresh every month
  • A 60-minute working session each month

The Clean AEO Standard

What we won't do.

  • No fake reviews.
  • No sock puppets.
  • No hidden prompts.
  • No guarantees.

Just odds, sources, fixes and proof. Every offsite action is disclosed and logged.

Read the Standard

See your odds in 10 business days.

A fixed-price baseline built from your own buyers' questions, measured on seven assistants, credited in full if you continue.