Public register

Corrections are part of the editorial product.

Silent updates make reliability impossible to assess. This register preserves material corrections, their scope and the primary source used when one is available.

Independent No affiliation Primary sources Updated 8 September 2026
Material changes

Public corrections register

Entries are translated into English. Dates, affected page URLs and source links preserve the original correction record.

Entity SEO, French and English editions

Before: Direct effects on training, citation timelines and automatic Wikidata eligibility were suggested.

After: Both editions distinguish verifiable identity, documented markup, Wikidata eligibility and measured outcomes. Fictitious profiles and guaranteed timelines were removed.

Wikidata

Content structure, French and English editions

Before: Quotas and visibility figures were still presented as rules; the English translation retained outdated advice.

After: Templates are identified as editorial choices. Unverified figures and universal quotas were removed, and sources and translation were updated.

Google Search Central

Evergreen content maintenance

Before: Citation lifetimes and a universal advantage for established content were asserted without measurement.

After: The guide describes fact-based maintenance, genuine revision dates and monitoring without a citation guarantee.

Google Search Central

Bing and Microsoft Copilot: recommendation review

Before: Unsupported recommendations remained about JavaScript rendering, ranking signals, IndexNow timelines and Copilot citation selection.

After: Bingbot Edge rendering and the AI Performance report are now sourced. Ranking, timing and citation guarantees were removed; receipt, indexing and citation are distinguished.

Microsoft Bing

Topical authority and LLMs, English edition

Before: Thresholds of 10 to 20 articles and a universal advantage over PageRank were presented as established facts.

After: The page distinguishes the documented Google News system, informal SEO terminology and RAG research. Unsupported thresholds and causal claims were removed.

Google Search Central

Content structure for LLMs

Before: A length of 3 to 6 lines, chunk boundaries and a FAQPage advantage were presented as universal rules.

After: The page explains that retrieval implementations vary, there is no magic length, and FAQPage guarantees neither a rich result nor a citation.

Google Search Central

GEO and LLMO frequently asked questions

Before: Timelines, length preferences, citation factors and clicks or queries in the generative AI report were asserted without sufficient evidence.

After: The answers distinguish editorial practices from documented rules and describe the specific experimental report: impressions only, with access limited to some properties.

Google Search Central

AI crawler documentation

Before: Outdated Anthropic tokens were used, and an English page described PerplexityBot as a training crawler.

After: The pages distinguish ClaudeBot, Claude-SearchBot, Claude-User, PerplexityBot and Perplexity-User using the current documentation.

Anthropic documentation

Featured snippets and answer engines

Before: A citation multiplier was attributed to an unidentifiable study.

After: The causal claim was removed. The page now distinguishes extractable formatting, correlation and evidence.

Gemini and AI Overviews

Before: Markup and positions 8 to 15 were presented as documented selection factors.

After: The page follows the official rule: no special structured data is required for Google generative search features.

Google Search Central

Schema.org and LLMs

Before: A direct effect of markup on AI citations was implied.

After: The scope is limited to documented uses: describe visible content and support compatible features, without a citation guarantee.

Google Search Central

AI Overviews in France

Before: Unsubstantiated French launch dates and coverage rates were published.

After: Unverifiable dates and metrics were corrected or removed.

CTR measurement

Before: A Seer study was interpreted as a CTR increase for cited pages.

After: The page correctly describes the observed CTR decrease on queries displaying an AI Overview.

Bing in France

Before: The French desktop market share was overstated.

After: The value was corrected using the period and source actually consulted.

English corpus

Before: Ten English articles were served with French language settings and metadata.

After: The locale is now derived from the path, with reciprocal hreflang and English navigation.