AI Brand Truth Report · 06 October 2026

AI’s version of your brand is not always the truth.

An evidence-led report on what AI gets wrong, what it can retrieve, and which fixes deserve attention first.

Explore four sample pages
Cover slide of the AI Brand Truth Audit for Mauna Loa Macadamia Nuts.A public-sources sample

31 pages · Full sample report

32 questions · Ten models and one search-grounded answer engine

Evidence first · Public sources, sourced findings, prioritized actions

Inside the report

Four pages. The method, not the marketing.

Scroll through actual report pages below. Each image is shown at its full landscape aspect ratio; select any page to enlarge it.

PAGE 01

The full picture

The cover sets the scope: a deep dive into what AI says about the brand, where it is wrong, and what to fix first.

PAGE 02

Truth on a page

A concise view of the report’s evidence and priorities, designed to make the important signal easy to find.

PAGE 03

Memory vs. retrieval

The sample distinguishes what models recall from what a search-grounded answer engine can retrieve.

PAGE 04

The truth wheel

A framework for organizing the brand facts and relationships an answer system needs to get right.

These pages are excerpts from a sample report prepared for Mauna Loa Macadamia Nuts on 6 October 2026. Findings describe that sample’s tests and public-source review; they are not independent measurements or a claim of a client relationship.

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