Models & Platforms

Visibility in AI Search: What Makes ChatGPT Recommend My Brand? (DMEXCO 2026)

Supported Published September 30, 2026 Reviewed by AIOTruth October 3, 2026
7.6 AIOTruth Research Value Score

Summary

Visibility in AI Search: What Makes ChatGPT Recommend My Brand? (DMEXCO 2026). Published by Peec AI on September 30, 2026 and found through a youtube discussion. AIOTruth checked peec.ai, classified as reproducible first-party demonstration, and confirmed it discusses this item.

Demonstration by Peec AI, embedded from YouTube. AIOTruth did not reproduce the test.

Why it matters

This touches how brands are found through AI and how AI systems understand an entity. It changes the behaviour of a system that decides which brands get surfaced and cited.

Source

What was checked

  • canonical URL taken from the page itself
  • read the item page (200)
  • https://docs.peec.ai/intro-to-peec-ai: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
  • https://peec.ai/changelog: supports the item, tier 2 (Reproducible first-party demonstration)
  • https://peec.ai/: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
  • Model-written copy did not pass the prose gate; this page uses deterministic copy built from the verified facts.

Limitations

  • Everything checked traces back to a single domain, so this is one party's account.
  • The demonstration was not independently reproduced by AIOTruth.

AIOTruth judgment

It scores 7.6 out of 10. Relevance 10, usefulness 5, evidence 8, originality 7. The evidence rating reflects Reproducible first-party demonstration from a single domain.

How this score was calculated

DimensionWeightScoreWhat produced it
AIO relevance30%10ai search, geo, aeo, llm visibility, ai mode; 8 scope question(s) matched
Usefulness30%50 artifact(s), 4 actionable marker(s), 1 measured figure(s)
Evidence25%8Reproducible first-party demonstration; 3 verified source(s) across 1 domain(s)
Originality15%7no original testing found; closest archive match 0.19

aioRelevance x 0.30 + usefulness x 0.30 + evidence x 0.25 + originality x 0.15. The rubric is published in full on the Editorial Method page. Scoring is deterministic: the same item scores the same on every run.

Watch the demonstration Open the source

Found something wrong here? AIOTruth corrects material errors openly. Have something we should review? Submit a find.

Run a check on AIOInsights