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Refreshed May 9, 2026, methodology v1.0

The mapou Panel

A monthly reading of which brands AI assistants name, category by category. In TV brands, AI effectively recommends just 5.5 of 20 tracked brands, and the top two take 46% of all citations.

Every category on the panel

Brand AI names most, and its Panel Score (0 to 100)
SegmentNamed mostPanel ScoreBrands
Home Improvement1 segment, 20 brandshome improvement industry page
Home AppliancesLG8420
Financial Services6 segments, 120 brandsfinancial services industry page
BankingAlly Bank7620
Credit CardsChase7720
Investing & WealthFidelity5920
Mortgages & Home LoansRocket Mortgage8020
Fintech & NeobanksChime6020
Property & Casualty InsuranceState Farm8120
Travel3 segments, 60 brandstravel industry page
HotelsMarriott5520
AirlinesDelta6520
OTAs & Travel BookingBooking.com5620
Automotive2 segments, 40 brandsautomotive industry page
Mass-Market OEMsToyota8720
Luxury & EV OEMsBMW7720
Beauty4 segments, 80 brandsbeauty industry page
SkincareCeraVe6820
MakeupMaybelline4820
FragranceChanel5520
HaircareOlaplex6120
Fashion3 segments, 60 brandsfashion industry page
Men's FashionUniqlo6120
Women's FashionEverlane7520
Athleisure & Active LifestyleLululemon5920
Consumer Electronics4 segments, 80 brandsconsumer electronics industry page
LaptopsLenovo7220
Audio (Headphones, Earbuds, Speakers)Sony6820
Smart Home & Connected DevicesGoogle Nest6420
TVsLG7620
Telecommunications2 segments, 40 brandstelecom industry page
Residential TelecomVerizon7820
Business TelecomRingCentral7220

The Panel Score is a 0 to 100 score per brand. It combines citation rate across 5 AI engines (ChatGPT, Perplexity, Gemini, Claude and Grok) on 20 fixed buyer-intent prompts, weighted across four buying phases, with Wilson 95% confidence intervals. We test at the segment level: banking is not credit cards, hotels are not airlines.

The panel in numbers

500

Brands tracked

25

Segments

8

Industries

5

AI engines

20

Prompts per brand

Deep studies

Long-form reports. Each puts a category's real buyer questions to ChatGPT, Gemini, Claude and Grok, then measures what each one recommends, why, and whether the facts it quotes are current.

In June 2026, beauty-tech company Novi published an analysis of 10.7 million ChatGPT citations ranking the sources behind AI beauty recommendations. Counting where AI looks is the first step. These studies measure what sits above it: what AI recommends, for what reasons, and what the buyer does next.

  1. Updated October 2026

    How AI recommends allergy medicine

    What AI tells allergy shoppers to buy. Brand-to-generic substitution, private-label routing, and how cautious each engine is.

  2. Updated October 2026

    How AI recommends credit cards

    Which card AI tells your applicant to open. Acquisition fragmentation, fee accuracy and incumbent concentration across four engines.

  3. Updated October 2026

    How AI recommends streaming

    What AI tells your subscribers to keep or cancel. The keep/drop hierarchy, pricing drift and the confusion tax.

  4. Updated October 2026

    How AI recommends live TV

    When AI tells a household to cut the cord. Carriage-currency errors and the cut-not-keep default.

  5. Updated October 2026

    How AI recommends beauty

    Which products AI recommends to which shopper. Persona divergence, legacy-brand residue and grounding gaps.

How much of an AI answer is the search engine behind it? Read Same model, different searcher, the methodology note behind these studies. Across 14,000+ resolved citations, Who does AI read? measures the creator share of AI shopping answers. Shorter findings go in Articles.

Is your brand on the panel?

The mapou Panel is the 500 brands AI search is making decisions about right now.

Either you're on it, or AI is recommending someone else. The mapou Panel covers 25 segments and 5 engines (top 3 refreshed monthly, the full panel quarterly). It is the tracked set behind every report on this page.

Latest run: May 9, 2026. Reports refresh on the first of each month. Methodology v1.0.

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