The essentials in 60 seconds
No, AI content does not trigger a Google penalty in itself: Google judges quality, not the production method. The risk comes from low-value mass-produced content, targeted by the June 2026 spam update and given the lowest rating by evaluators. Used properly, AI remains compatible with good search visibility — this is SEO.
I am Louis Choquet, founder of Pharelia. In our work, the question of AI content and Google penalties comes up every week. This article addresses it using primary sources published in 2026: Google's official AI guide, the Quality Rater Guidelines, and core and spam updates. The goal is to explain what is penalised, what is not, and what to do.
Does Google penalise AI content?
No, not because it is AI. Google's position, voiced by Danny Sullivan, is consistent: assess the quality of the result, not how it was produced. There is no general penalty targeting generated text. What is penalised is low-value mass-produced content — whether a human or machine wrote it does not change the rating.
The Quality Rater Guidelines (September 2025 version, ~182 pages, ~16 000 evaluators) describe three spam categories: Expired Domain Abuse, Site Reputation Abuse and Scaled Content Abuse. A separate section targets low-effort, low-originality content. Text produced at scale without added value receives the lowest rating — this is where poorly used AI causes a website to fall.
- spam categories defined in the guidelines (expired domain, site reputation, scaled content)
- 3
- Search Engine Land (2026)
- human evaluators applying these rules
- ~16 000
- Search Engine Land (2026)
- length of the September 2025 Quality Rater Guidelines
- ~182 p.
- Search Engine Land (2026)
What does Google's AI guide say (May 2026)?
The official AI guide, published on 15 May 2026, makes a clear statement: optimizing for generative AI means optimizing for search — therefore SEO. There is no separate discipline to invent. Its mythbusting section dismantles several beliefs circulating over the past year that lead to unnecessary work.
- Google Search does not use llms.txt: it neither helps nor penalises. There is no evidence of an effect on Google (the file can serve other crawlers, nothing more).
- No content chunking requirement for AI.
- No need to write text specifically for AI.
- Structured data is not required for generative AI — it remains useful for conventional rich results.
Search Engine Journal summarises the same idea: AEO and GEO remain SEO. The AEO / GEO / SEO divide is mainly marketing. Fundamentally, we optimize useful, sourced, clear content — for the nuance, see our note on AEO vs SEO vs GEO.
Do the 2026 updates change things?
Yes, but towards quality, not a hunt for AI. The May 2026 core update ended on 2 June after ~12 days. The June 2026 spam update started on 24 June, globally and in all languages. The affected websites among our clients were publishing at volume without value — not using AI judiciously.
| Update | Date | Scope | What we observe |
|---|---|---|---|
| May 2026 core | 2 June 2026 (end) | Global, ~12 days | Reassessment of overall page quality/relevance |
| June 2026 spam | 24 June 2026 | Global, all languages | Targets scaled content abuse and low-value mass-produced content |
Google has repeated the same logic for years about AI-generated content: the production method is not the criterion. Reviewed AI content enriched with practical experience and verified data passes. Raw AI content published in bulk receives the lowest rating.
AI Overviews is coming to France: what is the impact?
Google announced the launch of AI Overviews and AI Mode in France on July 22, 2026. AI Overviews appears when Google considers a generated answer useful for the query; it does not replace all conventional results.
The business impact on clicks is real. Ahrefs measures a CTR drop of 15 to 30 % on informational queries where AIO is deployed, and around 69 % zero-click queries. Another signal: AI Search traffic converts at ~14,2 % versus ~2,8 % for conventional organic traffic (Seer Interactive). Fewer clicks, but better-qualified clicks.
The correlation between organic rank and AI citation is weakening: ranking number 1 no longer guarantees citation.
- % of AIO citations from the organic top 10
Source: Higoodie / Ahrefs (2026)
View chart data
| Reference | % of AIO citations from the organic top 10 |
|---|---|
| Mid-2025 | 76 |
| Early 2026 | 38 |
Search Console provides a generative AI performance report for AI Overviews and AI Mode impressions. Google reports a global rollout as of August 31, 2026, with access limitations depending on the property and impression volume. This data is also included in the Web report: do not add it to that report's total. In GA4, check the AI Assistant channel and source/medium data for identifiable sessions. Traffic with no identifiable source may appear as Direct — a custom channel group does not reconstruct a lost source. Do not therefore reattribute all Direct traffic to AI. For detailed context, see our guide to Google AI Overviews in France.
Is SEO enough to get cited by AI?
No, not quite anymore. Ranking well on Google helps, but AI engines build their own citation index, weakly correlated with the SERP. You therefore need to work on presence where LLMs look for sources, alongside organic search — this is the core of what is called GEO.
- of ChatGPT citations overlap with Google's SERP
- ~12 %
- Higoodie (2026)
- of LLM citations do not rank in Google's top 100
- ~80 %
- Ahrefs (2026)
- of domains cited by both ChatGPT and Perplexity
- ~11 %
- Higoodie (2026)
In practice, ChatGPT accounts for ~87 % of AI referral traffic (Conductor 2026), while Perplexity ranks 3rd (~7,7 %, Statcounter May 2026). Reddit is disproportionately cited by LLMs because its text can be fully retrieved — a distribution tactic to include. For foundational work, follow our SEO audit checklist.
How to use AI without risking a penalty
By treating AI as an accelerator, not an autonomous generator. The survival rule fits in one sentence: publish nothing you could not sign with your name as an expert. Every page must contribute data, an example or a decision — otherwise it falls into the low-value category targeted by the spam update.
- Start from an intent and real experience: a human brief before generation.
- Check every statistic and cite its source (no unattributed data).
- Add original information: internal figures, practical cases, screenshots.
- Review voice and accuracy — not just surface rephrasing.
- Do not publish in bulk: a controlled publishing schedule beats mass production.
This is the method we apply at Pharelia: AI for speed, human expertise for value. If you want to delegate this planning, see our services or start with Let's talk about your project.
Frequently asked questions
Is AI-generated content penalised by Google?
No, not because it is AI-generated. Google evaluates the result's quality, not the production method. What is penalised is low-value mass-produced content (scaled content abuse), whether written by a human or a machine. Reviewed, sourced AI content enriched with experience passes without problems.
Should I create an llms.txt file for Google?
No. Google's AI guide (May 2026) is explicit: Google Search does not use llms.txt, either to help or to penalise. There is no evidence of an effect on Google. The file may serve other crawlers, but it is not a Google search optimization measure. Do not prioritise this work.
Is structured data mandatory for AI?
No. According to Google's AI guide, structured data is not required for generative AI. It remains useful for conventional rich results in traditional search. You can implement it for those benefits, but it is not a prerequisite for appearing in Google's AI answers.
When is AI Overviews coming to France?
Google announced the launch of AI Overviews and AI Mode in France on July 22, 2026. AI Overviews does not appear for every search: Google shows it when it provides a useful answer to the query.
Does the June 2026 spam update target AI?
No, it targets low-value mass-produced content, not the production method. Launched on 24 June 2026, globally and in all languages, it targets scaled content abuse defined in the Quality Rater Guidelines. AI-assisted content that is original, verified and useful is not subject to this targeting.
Is ranking well on Google enough to get cited by ChatGPT?
No. LLM citations are weakly correlated with Google's SERP: around 80 % of LLM citations do not rank in Google's top 100 (Ahrefs), and only ~12 % of ChatGPT citations overlap with the SERP (Higoodie). You need presence on the sources LLMs retrieve, alongside conventional SEO.


