SEO & organic search

AI in SEO, without publishing what no one reviewed

Produce audits, tags and optimized content faster, yes, but never a text that invents a price or a review, published under your client’s name.

Your reality

Independent consultant, web agency or in-house marketing: you write and publish in other people’s names. Generated content that no one reviews invents a feature, a price, a review; Analytics or Search Console exports pasted into consumer AI without a data processing agreement leave your control, and your client’s.

Your profession adopted AI before the others; the question is no longer how to produce more. It is how to hold the line on what gets published, reviewed and stood behind, page after page.

What this costs you
  • Hours lost to tags, repetitive briefs and monthly reports reshaped by hand
  • Mass-generated content, never reviewed, that dilutes the site and the client’s credibility
  • Client exports, rankings and strategies pasted into public AI, outside any data processing agreement
  • A traffic drop handled in panic, changing everything before any diagnosis is made
The Palambur Method in action

See for yourself

A prompt structured in 5 blocks: Instruction · Role and audience · Data · Constraints · Format. An unframed AI invents; the frame stops it.

In a workshop, we adapt these prompts to your sites and your clients’, each with its safeguards: nothing is published without review, and no client data enters a public AI.

Prompt Chaptal

Chute de trafic ou de positions · le diagnostic avant la panique

The causes examined in order, technical, content, competition, before touching anything on the site.

See it in Chaptal →
Prompt Chaptal

Contenu produit par IA sur un site · ce qui se publie, ce qui se relit, ce qui s’assume

A clear line between what the tool produces and what you sign, ready to defend in front of your client.

See it in Chaptal →
Prompt Chaptal

Rapport mensuel de référencement à la direction ou au client

A report that says what moved, why, and what comes next, with no jargon to translate.

See it in Chaptal →

30 use cases cover your line of work in the Chaptal catalog, out of 750 in the corpus · each one states what it produces, what it expects from you, and what it refuses to do.

Where to start
Training

« Le Collaborateur, augmenté »

Your team learns to frame AI on its real tasks, audits, briefs, content, reports, without exposing a client.

See the training →
Audit & advisory

Your AI practices, framed and defensible

An inventory of the tools already in use, a register, and written rules your clients can read.

See audit & advisory →
F.A.Q.

Foire aux questions

Does Google penalize AI-generated content?

What gets sanctioned is mass-produced content with no value for the reader, whatever the tool. The dedicated card in the catalog draws the line: what gets published, what gets reviewed, what you stand behind; the review remains yours.

Can I paste a client’s data into a public AI?

Without a data processing agreement, an export that identifies a client leaves their control, and the nLPD holds you responsible for it. The rule is simple: anonymize first, or keep it out; account credentials never go in at all.

Does AI replace an SEO audit?

No. It structures the approach and drafts the findings; the crawl, the on-site verification and the ranking of priorities remain your professional work.

What about engines that answer without sending a visit?

The discipline stays the same: clear content, structured data, sources you stand behind. The catalog even handles meta description and GEO markup in the same card, page by page.

Can AI answer customer reviews for me?

It prepares replies for you to review, never reviews themselves. Collect, respond, never fabricate: an invented review puts your client’s reputation at stake, and yours with it.

Next step

Talk about your rankings