Panel report: for CMOs
Skip the trend report. Make these five decisions
Five portfolio-level calls a CMO should make about AI search visibility, with the mapou service that operationalizes each. Sourced from the largest first-party AI personalization panel published: 25 categories, 5 AI engines (ChatGPT, Perplexity, Gemini, Claude, Grok), 12 buyer personas, 500 brands, refreshed monthly.
- categories on the monthly panel
- 25
- AI engines, each weighted equally
- 5
- buyer personas tested
- 12
- categories where the #1 brand flips under a buyer persona
- 32 of 36
How it works is in the methodology. Latest: the shopping frame is not neutral. Removing it flips the #1 brand in 8 of 22 segments, as Finding 11 shows.
Contents
Finding 1
Treat AI engines as separate channels
Engines disagree on baseline #1 in 6 of 25 categories with data from all five engines. Single-engine optimization is a single-channel investment. Plan budget by engine, not by "AI."
Finding 2
Visibility is buyer-mix dependent
Leaders flipped in 32 of 25 segments in the persona study under at least one buyer persona. Your baseline Panel Score is a calibration. Build the persona-corrected number into the board deck.
Finding 3
Personalization is real and measurable
AI search is not winner-takes-most in the abstract. It is winner-takes-most per engine, per persona. Brands that are invisible at baseline can be the top pick inside a specific persona, and the leader you see today depends on who is asking.
Finding 4
Visibility tier is the conversation
Panel Score 75+ is default-choice. 50-74 is repeat-use. 25-49 is first-encounter. <25 is not yet cited. The right strategy differs at each tier. A first-encounter brand needs visibility infrastructure. A default-choice brand needs to defend against persona-driven challengers.
Finding 5
Time-series wins
A monthly tracked Panel Score catches changes a one-shot audit misses. AI search retrieval policies, model upgrades, and competitor activity all move the leaderboard between snapshots. Static GEO is yesterday's SEO.
How mapou helps with each decision
- 1. Treat AI engines as separate channels
- Start with an AI Visibility Audit to map your position per engine.
- 2. Visibility is buyer-mix dependent
- Persona-Tuned Panel Score surfaces the visibility number that matches your actual buyer mix.
- 3. Personalization is real and measurable
- GEO & Citation Architecture restructures your entity data so AI surfaces you in the personas that fit your positioning.
- 4. Visibility tier is the conversation
- AI Visibility Audit identifies your tier; GEO & Citation Architecture moves you up.
- 5. Time-series wins
- Executive Advisory keeps your monthly Panel Score tracked, with a CMO-level read on what changed and why.
Where to start depends on your tier
Diagnose: AI Visibility Audit. A 14-day diagnostic of where you stand on each engine. The right entry point if you don't yet know your Panel Score.
Move up: GEO & Citation Architecture. Restructure your entity data, content and digital presence so AI engines cite you, on every engine rather than ChatGPT alone.
Tune to buyer: Persona-Tuned Panel Score. The Panel Score that matches your actual buyer mix, not the average buyer. Premium-skewed and budget-skewed brands need different views of their visibility.
Pick a brand and a buyer, and the answer changes
The Persona Explorer is the live demo of why these five decisions matter. Open it, type your brand, switch personas, watch the citation rate move. 88.8k verdicts behind every cell.
What this means for brands. The ranking your buyers see depends on who they are. Check yours against the personas that match your actual customers.
Open the Persona ExplorerFind your category
Each link jumps to the category-specific CMO notes on that segment's research page: concentration risk, how engines split, persona volatility, and the visibility-tier mix for that category. Built from the same panel.
Financial Services
Home Improvement
Start with a free check
Find out where your brand stands on each engine before you plan the next quarter.