Should You Really Trust AI for Your SEO Strategy?

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Official statement

Google's John Mueller advises against using language models (LLMs) for SEO advice, as they learn from potentially erroneous information. This remark was made in response to a contradictory suggestion from Google Gemini regarding the use of Google's disavow tool. Google's Gary Illyes had already expressed similar concerns.

Source : Search Engine Roundtable

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Official statement from July 30, 2024 (1 year ago)

⚠ A more recent statement exists on this topic Should you really advise clients NOT to do SEO in the short term? Erika Varangouli · September 19, 2024 View statement →

What you need to understand

Google warns against using generative AI as reliable sources of SEO advice. This statement comes directly from John Mueller, an iconic figure in Search.

The central problem identified by Google concerns the quality of training data for these models. LLMs (Large Language Models) learn from content available on the web, which may contain outdated, incorrect information or information based on persistent SEO myths.

The cited example concerns the link disavow tool, where Google Gemini provided recommendations that contradicted Google's official positions. This perfectly illustrates the risk of making strategic decisions based on AI-generated advice.

AIs learn from unverified content and can perpetuate outdated or harmful SEO practices
Recommendations can contradict Google's official guidelines
SEO is constantly evolving, AI models are not always up to date on the latest algorithmic changes
This warning extends to all critical domains requiring verified expertise (health, finance, legal)

SEO Expert opinion

This position from Google is perfectly consistent with reality on the ground. As an SEO expert, I regularly observe erroneous recommendations generated by AIs, particularly on complex technical topics such as crawl budget, canonical tags, or indeed link disavow.

However, an important nuance must be added: AIs can be useful as assistants for specific tasks (generating keyword variations, content structuring, syntactic analysis). The problem arises when they are used as the sole source of strategic truth without expert human validation.

Special attention: AIs tend to "hallucinate" metrics, non-existent Google features, or unproven SEO correlations. Systematically verify any technical recommendation with official sources or empirical testing.

The real danger lies in the authority effect these tools exert. Their confident tone can convince even experienced practitioners, while the information delivered may be completely erroneous or decontextualized.

Practical impact and recommendations

Never blindly apply SEO recommendations provided by ChatGPT, Gemini, or other LLMs without verification
Systematically cross-reference AI advice with official Google documentation (Search Central, Google Search forums, official videos)
Prioritize verified human sources: recognized experts, documented case studies, real A/B tests
Use AI as an assistant for low-risk tasks (brainstorming, reformulation, structuring) but never for strategic decisions
Train your teams in critical validation of SEO information, regardless of its source
Document your own tests to build a reliable knowledge base specific to your context
Increased caution on highly technical topics: JavaScript SEO, internationalization, complex migrations where mistakes are costly

In summary: AI is a powerful but fallible tool in SEO. It can accelerate certain tasks, but does not replace human expertise for strategic analysis and decision-making.

Implementing a robust SEO strategy requires constantly updated expertise and rigorous validation of every recommendation. Faced with the growing complexity of algorithms and the misinformation amplified by AIs, surrounding yourself with experienced professionals becomes crucial.

For businesses looking to secure their SEO investments and avoid costly mistakes, collaborating with a specialized SEO agency provides the benefit of continuous monitoring, proven methodologies, and a critical eye on all recommendations, whether they come from AI or other sources.