Generative AI in your marketing: useful, without a penalty

Since generative models arrived, two camps clash: those churning out hundreds of automated articles hoping to flood Google, and those refusing AI on principle. Both are wrong. The reality is more nuanced, and more interesting.

Google does not penalise AI — it penalises emptiness

Google's official position is clear and consistent: what matters is the quality and usefulness of the content, not how it was produced. An article written by an AI, reviewed, corrected, enriched with real examples and a point of view, is perfectly legitimate. Mass-generated content, with no review or added value, will be downgraded — exactly as the same text churned out by a human would have been.

AI is an excellent first draft and a poor finished product. The value comes from what you add afterwards.

Where these tools genuinely save time

• Breaking the blank page: an outline, a first draft to rework.
• Rephrasing technical text for a non-specialist audience.
• Translating content, before human review — never published as is.
• Generating title, meta-description and hook variants to test.

Where they put you at risk

A generative model invents with confidence: wrong figures, misattributed quotes, inaccurate facts stated assuredly. Publishing without checking stakes your company's credibility on claims nobody verified. The risk is not a Google penalty — it is a client spotting a glaring error and drawing conclusions about your rigour.

The simple rule

Use AI to speed up the work, never to replace it. Every published text must pass through a human who checks facts, adds a concrete example, and imposes a voice. If nobody reviews it, do not publish it. This holds for marketing as it does for code: the tool amplifies skill, it does not replace it.