Generative AI can draft a decent article in seconds — and that is precisely the problem. For media and entertainment brands in France, where audiences are sophisticated and Google's E-E-A-T signals decide who ranks, mass-produced AI content is a fast route to invisibility. Our position at FOCUS POINT is clear: AI is a formidable production accelerator, but it is not an author. Used well, it multiplies the output of your experts; used lazily, it strips your content of the experience, expertise, authoritativeness and trust that earn rankings and loyalty.
Our stance: AI amplifies expertise, it does not replace it
Google has been explicit: it rewards helpful, people-first content regardless of how it is produced, and it penalises content made primarily to game rankings. The distinction that matters in 2026 is not 'AI vs human' but 'accountable vs anonymous'. Content that carries a named expert's genuine point of view, first-hand experience and verifiable sources wins — whether a model helped draft it or not. Content with no author behind it, no original insight and no fact-checking loses, even if a human typed every word. E-E-A-T is about accountability, and accountability cannot be generated.
INSIGHT
Stop asking 'will Google detect that this is AI?' and start asking 'would a knowledgeable reader trust and cite this?'. The first question chases a moving target; the second is the only durable strategy. If a named expert cannot stand behind every claim in an article, it is not ready to publish — no matter who or what wrote the draft.
Work with us
FOCUS POINT designs AI-assisted editorial workflows that multiply your output while protecting expertise and trust. Let's build yours.
Scale content without losing E-E-A-TA production workflow that protects E-E-A-T
- Start from a real expert brief: interview or record your journalist, critic or analyst so the AI works from genuine insight, not a blank prompt.
- Use AI for the heavy lifting: outlines, first drafts, summaries, angles and reformatting — never for facts, opinions or sources.
- Inject original value a model cannot: proprietary data, first-hand experience, quotes, screenshots, on-set anecdotes and a clear editorial stance.
- Fact-check every claim against primary sources and cite them — hallucinated statistics are the fastest way to lose trust.
- Edit for voice and E-E-A-T signals: a named, credentialed author byline, a real bio, a review date and transparent AI-assistance disclosure.
- Measure quality, not just volume: track dwell time, returning readers and citations, and prune anything that underperforms.
WARNING
Publishing unedited AI drafts at scale is not a growth hack — it is a liability. It exposes media brands to factual errors, plagiarism, defamation risk and the reputational damage of readers spotting generic filler. One viral screenshot of a hallucinated 'fact' can undo years of hard-won authority.
- We never publish a claim no human on the team can verify and defend.
- We never ship content without a real, accountable author byline.
- We never let AI invent quotes, reviews, sources or first-hand experience.
- We never trade long-term authority for a short-term volume spike.
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