Edikka Register · version 1.1.1 · Media kit

Before optimising for AI, verify what is true.

The register links 39 GEO claims to their scope, sources, evidence status, limitations and verification date.

Published dataset
2026-08-27
Version
1.1.1
DOI
10.5281/zenodo.22128746
Licence
CC BY 4.0

Editorial angle

In a market saturated with recipes, a versioned register separates official documentation, scientific findings, observations and hypotheses.

« “Unproven” does not mean “false”; it means the available evidence is insufficient within the stated scope. »

01 · Three figures to retain

Before optimising for AI, verify what is true.

39qualified claims
16referenced sources
9contradicted claims

02 · What the data shows

Evidence-status distribution

Confirmed 13/39
Supported 9/39
Contradicted 9/39
Observed 4/39
Plausible 2/39
Unproven 2/39

03 · Method in four points

Method in four points

  1. Each claim receives a stable identifier, a scope and a testable wording.
  2. One or more sources are linked to each row and dated.
  3. Six statuses separate official documentation, science, observation, hypotheses and contradiction.
  4. Bilingual CSV and JSON, changelog, data dictionary and SHA-256 checksums are published.

04 · Limits to quote

Limits to quote

  1. State of documentation checked on 27 August 2026; a source can change.
  2. A status applies to the wording and stated scope, not every platform.
  3. The register guarantees neither rankings, citations nor commercial outcomes.

05 · Two publication-ready visuals

Two publication-ready visuals

Before optimising for AI, verify what is true.
Landscape visual · 1200 × 630PNGSVG
Evidence-status distribution
Square visual · 1080 × 1080PNGSVG

Recommended citation

Morel, B. (2026). Edikka GEO Claim Register / Registre Edikka des affirmations GEO (Version 1.1.1) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.22128746

The key-figure CSV and visuals are released under CC BY 4.0. Credit “Source: Edikka” and link to the DOI. Do not infer individual results from aggregate data.

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