Tech for Retail 2025 Workshop: From SEO to GEO – Gaining Visibility in the Era of Generative Engines

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Web writer training: skills, levels and criteria for choosing well

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Last updated on

24/10/2026

Chapter 01

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Writing for the web is no longer just about writing well: a text must answer an intent, be easy to skim and be reusable by the AI engines that cite their sources. Web writer training should therefore make you produce, edit and measure. This guide sets out the skills by level, what a good programme must cover, the place of AI, the criteria for choosing well and how to prove your progress. It complements our guide to learning organic SEO.

 

What a web writer needs to be able to do today

 

The framework of the job has changed. Content serves measurable objectives (visibility, understanding, conversion, reassurance) and is read by two audiences: people in a hurry and engines that extract, summarise or cite. AI has also entered production: 64% of marketers use AI to create content (HubSpot, 2024). Further benchmarks on content production are available in our content marketing statistics.

 

The question is therefore no longer whether a writer uses AI, but whether they can frame a topic, check what they write and take responsibility for what they publish. That is what training must give them.

 

The four core skills

 

Whatever the sector, four transferable skills form the foundation of the job:

 

  • Angle: turning a broad topic into a clear promise (guide, comparison, method, checklist).
  • Clarity: short sentences, precise vocabulary, definitions where needed, concrete examples.
  • Evidence: sourced figures, criteria, demonstrations and limits, rather than unsupported claims.
  • Call to action: inform, then guide towards the next step (contact, trial, download), without overselling.

 

Editorial consistency ties these four skills together: tone, objectives and formats follow from a framework shared by the whole team, not from each writer's preferences.

 

The expected level in SEO and GEO

 

Web writing is inseparable from SEO, and increasingly from GEO, meaning visibility in the answers of generative engines. A writer does not need to become a technical expert, but must master three areas:

 

  • On-page SEO: search intent, heading structure, semantic field, internal links and metadata.
  • Measurement: linking a piece of content to its impressions, clicks and conversions in Google Search Console and Google Analytics 4.
  • GEO: producing citable passages (clear definitions, lists, tables, sources) that ChatGPT, Perplexity, Gemini or AI Overviews can reuse.

 

Form influences citation: 80% of pages cited by AI use lists (State of AI Search, 2025). A brand is cited when it is named or linked in the answer. The writer's job is to make each passage easy to extract, and accurate once extracted.

 

Web writer skills by level

 

A shared skills grid lets you place a writer, set the objective of a training programme and then check that it has been reached. The table describes seven skills across three levels:

 

SkillBeginnerIntermediateAdvanced
AngleFormulates a clear promiseChooses a differentiating angle based on the SERPAdapts a topic by persona and by journey stage
IntentDistinguishes informational, commercial and transactional queriesBuilds a brief from the intent and the ranking pagesDecides between creating, updating or merging
StructureOrganises H2s and H3s, splits content into short sectionsChooses a list, table or FAQ to suit the pointDesigns templates by page type
EvidenceSources every figure and dates every time-sensitive claimDistinguishes evidence, example and opinionMaintains the team's list of reference sources
Internal linkingAdds links with descriptive anchorsLinks the page to its pillar and sibling pagesLinks an entire cluster and spots cannibalisation
ExtractabilityOpens each section with a direct answerWrites passages that make sense out of contextTests target questions in AI engines
AI reviewChecks the facts and sources of a generated first draftSpots generalities and misreadings in an assisted textWrites the team's AI usage rules

 

Each level is demonstrated by a piece of work, not a certificate of attendance. For internal linking, for example, a beginner shows a well-linked page; an advanced writer shows an entire cluster, built according to the principles of internal linking.

 

What a web writing training programme must cover

 

A programme is judged by what you can do when you finish it. Each block should combine an exercise on real content with a corrected piece of work:

 

BlockExerciseExpected output
Search intentClassify about twenty queries by intentA query, intent and format map
BriefBrief an article based on the SERP and the personaA complete brief, from outline to links
StructureRestructure an existing articleThe before and after versions, annotated
Internal linkingLink a new article to its pillar and three sibling pagesThe link plan and the chosen anchors
Structured dataChoose the markup for an FAQ or an articleA clear request to the technical team
ExtractabilityMake three passages self-containedThe rewritten passages and their target questions
AI reviewCorrect an AI-generated first draftThe corrected text and the list of errors found

 

The writer does not implement structured data themselves, but must know which markup to request and why.

 

Criteria for judging a programme

 

Apply the same grid to every offer, based on the detailed programme:

 

  • Share of practice: supervised production, reasoned corrections.
  • Exercises on your context: your own pages rather than fictional cases.
  • Measurable SEO: intent, structure, internal linking and reading Search Console and GA4.
  • GEO covered: citable structure, sources, content updates.
  • Responsible AI module: review, quality control, transparency and limits.
  • Updates: the programme states how it keeps up with changes in search engines.

 

Warning signs

 

Rule out any programme that shows one of these signs, whatever its format:

 

  • guaranteed results, when performance depends on the site and the market;
  • a programme with no assessment criteria and no corrected work;
  • a lot of theory and little writing;
  • AI presented as "magic", with no verification step.

 

The "responsible AI" module: what AI does, what you check

 

AI speeds up some steps, but it also produces generic text, factual errors and sometimes invented sources. The volume of generated text increases competition: 17.3% of content in Google results is AI-generated (Semrush, 2025). A writer therefore stands out through what they check and what they add.

 

A responsible AI module should describe, step by step, how roles are split between the tool and the writer:

 

StepWhat AI can doWhat the writer checks
Research and outlineSuggest questions, an outline and anglesThe fit with the intent and the persona
First draftProduce a starting version from the briefFacts, figures, sources, brand consistency
RewordingShorten, simplify, vary the vocabularyThat meaning and nuance are preserved
Final reviewFlag typos, repetition and long sentencesTone, examples, call to action and compliance

 

What remains human

 

Four responsibilities cannot be delegated to a tool:

 

  • choosing the angle and what the content must prove;
  • checking facts, figures and dates;
  • experience: real examples, customer cases, limits;
  • the decision to publish, and responsibility for what is published.

 

Transparency is part of the module: the team must know which steps were assisted and who approved the final text.

 

Degree, certification or self-training: what each route proves

 

The right question is not "degree vs certification" but what the pathway proves. In every case, your outputs are what really decide. The table compares four routes:

 

RouteFor whomWhat it proves
DegreeSomeone looking for a long, supervised framework, or targeting an organisation that requires oneDuration, supervision and a broad level
CertificationA professional in a role who wants to validate a specific programmeCompletion of a programme, worth only as much as its assessment (multiple-choice test or graded project)
Tool-based self-trainingAn autonomous profile with a site to practise onNothing on its own: only published, measured content counts
In-house trainingA content team that needs to share a methodAdoption of common standards: briefs, review, measurement

 

Remote, in-person or hybrid

 

Remote learning works if the programme includes a schedule, corrections and measurable objectives; without feedback, you progress in a vacuum. In-person training brings a density of corrections that helps align a team on a method. Hybrid formats combine both: online modules for the fundamentals, workshops to correct, prioritise and produce.

 

Estimating the real time a programme takes

 

The advertised duration does not tell you how much time you will spend on it. To estimate it, add to the course time:

 

  • producing assignments, which takes one to three times the length of the videos;
  • editing and optimising each text;
  • applying it to your site: publishing, formatting, tracking.

 

An intensive format serves a sprint, such as a launch or aligning a team. A progressive format builds publishing, measurement and iteration routines, which matter more over time. In both cases, ask for the breakdown of corrected practice hours: it is the most reliable indicator of what you will be able to do when you finish.

 

Building a portfolio that proves your skills

 

A convincing portfolio is not about the brands you have written for, but about the demonstration it provides. Base it on real, verifiable work, without inventing experience:

 

  • 2–3 themes at most, for coherence;
  • 6–10 pieces, including at least two long-form formats;
  • a mini dossier per piece, explaining your approach.

 

A real project, such as a personal blog, an association's website or internal content, is worth more than a fictional exercise: it can be verified and measured.

 

The mini dossier for each piece

 

The mini dossier turns a text into proof of method. It brings together five elements:

 

  • the brief: objective, persona, angle and outline;
  • the main keyword and the target intent;
  • the published version and, where relevant, the original version;
  • the result: impressions, clicks or conversions, before and after;
  • a short reflection: what you would improve.

 

For a manager recruiting or assessing a team member, this dossier carries more weight than style: it shows whether the writer can scope, prove and measure.

 

Practising with tools and training a content team

 

Training only pays off if it continues through regular practice, measured on your own site.

 

Practising with Search Console and GA4

 

Google's free tools are enough to practise, provided you work on a real site:

 

  • Google Search Console, Performance report: queries, clicks, impressions, CTR and position by page;
  • Search Console, URL Inspection: check that published content is indexed;
  • Google Analytics 4: session sources, including chatgpt.com and perplexity.ai, and conversions;
  • the AI engines themselves: ask ChatGPT, Perplexity and Gemini your target questions, then note whether your page is cited.

 

At the time of writing, Search Console counts appearances in AI Overviews and AI Mode in the Performance report, without separating them from the rest. AI presence therefore also needs to be tracked question by question.

 

A 30/60/90-day plan

 

The following plan turns training into practice on a limited scope:

 

  • Days 1–30: choose around ten pages, produce two pieces, optimise three.
  • Days 31–60: strengthen internal linking, improve titles and introductions, track impressions and CTR.
  • Days 61–90: formalise briefs and templates, launch an update cycle, document an internal before / after case.

 

Training a content team in-house

 

Training a team means putting a shared process in place more than adding up individual skills. The skills grid by level is the starting point; in-house training then equips four steps:

 

  • actionable briefs: objective, intent, structure, evidence, links;
  • an approval workflow: editing, compliance;
  • a realistic plan: cadence, resources, priorities;
  • quality control: structure, sources, consistency, updates.

 

This framework sits within your web content strategy. Measure skills development like an SEO project: compare the pages produced or updated against themselves, before and after, and review the checklist every quarter.

 

Depending on your situation

 

Choose your next step according to the need that brings you here:

 

 

To move from training to production, the Incremys content production module structures briefs by persona, frames AI-assisted writing and builds in human review before publication.

 

FAQ about web writer training

 

Do you need a degree to become a web writer?

 

No, no degree is required to write for the web. A degree can ease access to organisations that require one in their HR frameworks, but your outputs are what convince: a coherent portfolio, published content and proof that you can work from a brief, to deadlines, with feedback.

 

How long does it take to become operational?

 

Allow a first 90-day cycle of practice on a limited scope to become autonomous on the basics: brief, structure, internal linking, editing and tracking in Search Console. The real time a programme takes exceeds its advertised duration, because assignments, rewriting and applying it to your site come on top.

 

Does a writer need to know how to use AI?

 

Yes, but to supervise it rather than delegate the writing to it. A writer must be able to give it a precise brief, spot its generalities and errors, check every fact and source, then add what it cannot provide: experience, real examples and the decision to publish.

 

How do you judge a portfolio?

 

Look at the approach before the style. A good portfolio brings together 6–10 pieces on 2–3 themes, each with its brief, keyword, target intent and a measured result. The short reflection matters too: it shows whether the writer can analyse their own work and improve it.

 

What is the difference between web writing and SEO writing?

 

Web writing covers all writing intended for the screen: readability, structure, angle, call to action. SEO writing is a specialisation of it, starting from a query and its intent to aim for rankings in search engines. Both now converge with GEO, which also aims for citation in AI answers.

 

Can you teach yourself web writing?

 

Yes for the basics, provided you publish on a real site and measure. Search Console and GA4 let you track your content's impressions, clicks and conversions. What is most often missing when working alone is feedback from someone else: have your texts reviewed regularly by a peer or an editorial manager.

 

Should web writing training cover GEO?

 

Yes. Generative engines cite sources, and a writer must know how to make a passage citable: a clear definition, a direct answer at the start of the section, lists, tables and verifiable sources. A programme that ignores GEO only covers part of the job; check that it includes at least one exercise on target questions.

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