3.2Marketing & communication (content, posts)
The essentials in 30 seconds
- Faster production, shifted value: AI writes fast; only your expertise, your lived examples, your angle differentiate.
- Method: lived material first, AI writing second, 10 hooks then multichannel adaptation.
- Killer question: “could anyone have written this?” — strengthen otherwise, and verify every claim made.
Running case — Amine and the post that rings true
Amine, a project manager in Algiers, must make his project's progress visible on LinkedIn. Instead of asking for “a post about project management”, he brings his lived material: a delay caught up on a site, a lesson learned with his team. AI structures the post, suggests 10 hooks, then adapts it into a newsletter and a short video script. Result checked by Amine before publication: content nobody else could have written.
This same case runs through the lesson, the diagram, the script and the 48h challenge.
1. The most transformed profession
Ideas, posts, hooks, newsletters, product sheets, campaign plans: production speeds up massively with AI. The downside comes fast: the web fills with interchangeable content.
Value therefore shifts to what AI does not have: your real expertise, your lived examples, your angle. AI structures and writes, you bring the material — anecdote, verified figure, sharp opinion.
2. Templates and multichannel adaptation
Master the templates: post, hook (the first 2 lines that decide the click), newsletter, editorial calendar. Ask for 10 hook variants and keep the best.
Then adapt one pillar content per channel — LinkedIn post, thread, newsletter, short video script — each following its channel's codes. And document your brand tone with examples to avoid the generic. Every fact or figure must still be checked before release.
🔎 Concrete example — The killer question
Amine spots the generic before publishing.
Re-read and ask yourself: “could anyone have written this?”.
→ strengthen with YOUR material (case, verified figure, opinion).
Ask for 10 hooks: no. 7 is often the right one.Outcome: the generic passages are those without lived experience.
Lesson: one pillar content is adapted; each channel with its own codes.
Section vocabulary
- Editorial calendar
- AI-assisted content planning: pace, topics, alternating advice, behind-the-scenes, proof.
Simple example: Amine asks for a month of posts at 2 per week for his project.
What it is not: publishing at random with no editorial line.
Reflex: get it planned, then adjust with real availability.
- Hook
- The first 2 lines that decide the click: ask for 10 variants.
Simple example: Amine keeps the best of the 10 suggested.
What it is not: the first descriptive sentence that comes to mind.
Reflex: always ask for 10 hooks.
- Multichannel adaptation
- One pillar content adapted per channel, each with its own length, tone and format codes.
Simple example: Amine's post adapted into a newsletter and a short video script.
What it is not: copy-pasting the same text everywhere.
Reflex: ask for the adaptation channel by channel.
- Lived material
- What AI cannot invent: case, verified figure, expert opinion — the differentiating ingredient.
Simple example: The caught-up delay told by Amine.
What it is not: generalities anyone could have written.
Reflex: bring one lived element to each content piece.
- Brand tone
- Editorial style documented or demonstrated with examples to avoid generic content.
Simple example: Amine shows 2 posts he likes before getting one written.
What it is not: leaving the model's default style.
Reflex: attach tone examples to each request.
In practice — From raw topic to multichannel content
- Pick a topic where you have real expertise and note ONE lived element (anecdote, figure, lesson learned).
- “Write a LinkedIn post about [topic], built around this lived experience: [your lived element]. Strong hook, 150 words, 1 final question.”
- Ask for 10 alternative hooks, choose, then adapt: “Adapt this post into a newsletter (300 words) and a 45-second video script”.
- Quality test: “What in this content could have been written by anyone?” — strengthen those passages with YOUR material.
Ready-to-say script — content brief that avoids the generic
“Write a LinkedIn post about [topic], built around this lived experience: [anecdote, verified figure, lesson]. Strong hook, 150 words, 1 final question. Then suggest 10 alternative hooks. I will check each fact before publication.”
To paste as is; replace the brackets with your real material and check the result.
Copy-paste template — post brief + adaptation
TOPIC: _______________
LIVED MATERIAL (anecdote / verified figure / opinion): _______________
FORMAT (150-word post + 1 question): _______________
10 HOOKS (chosen: no.__): _______________
ADAPTATION (300-word newsletter / 45 s script): _______________Small business / freelancer
Without a content team: one pillar per week, adapted into 3 formats, is enough to keep up a presence.
SME in Algeria
Amine draws on his projects in Algiers: field cases and team lessons, checked before publication.
Office / employee
Get every client figure and company mention approved before external release.
Beginner
Start with a single post backed by a real experience, with 10 hooks requested.
✓ Best practices
- Put your lived material at the centre; AI around it.
- Ask for 10 hooks and keep the best.
- Adapt one pillar content to each channel's codes.
✗ Common pitfalls
- Publishing generic AI content (interchangeable, low-performing).
- Forgetting to document/impose your brand tone.
- Confusing production speed with value for the reader.
Key takeaways
- AI speeds up production; your lived experience differentiates — never the reverse.
- Ask for 10 hooks: no. 7 is often the right one.
- One pillar content is adapted per channel, each with its own codes (length, tone, format).
- Re-read with the killer question: “could anyone have written this?”
48h challenge — apply tomorrow
Publish (or prepare) 1 post backed by a verified lived fact, with 10 hooks requested and the best one kept.
- I put my lived material at the centre.
- I systematically ask for 10 hooks.
- I check each fact before release.
Frequently asked questions
Does Google penalise AI-generated content?
Google says it assesses QUALITY and usefulness, not the mode of production. In practice, generic AI content performs poorly (because it is interchangeable); AI + real expertise content performs. The criterion remains value for the reader.
Must I disclose that my content is AI-assisted?
No general obligation for classic marketing (unlike some regulated content). Transparency is an editorial choice — the AI Act does require flagging misleading synthetic content such as deepfakes (see 5.4).
What differentiates content in the AI era?