A discipline, not a trick
GEO is not a one-off setting: it is a continuous discipline covering content structuring, reliability, authority and performance tracking within AI answers. It builds on SEO fundamentals while changing the end goal.
GEO: optimise for generative engines
Generative Engine Optimization: the discipline that makes your content selectable and citable by ChatGPT, Perplexity and Google AI. Here are its principles, technical levers and implementation.
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GEO (Generative Engine Optimization) is the discipline that optimises content to maximise its probability of being selected and cited as a source by generative answer engines. It is the counterpart of SEO in the AI era: where SEO optimises for a ranking, GEO optimises for a citation.
In practice, doing GEO means acting on three fronts: the citability of the content, the authority signals around it — such as media activation on iTPro.fr — and the measurement of presence within answers. TechMedias applies this discipline to your citable IT content.
— Definition
What is GEO (Generative Engine Optimization)?
GEO, or Generative Engine Optimization, is the set of techniques aimed at making a piece of content a source cited by generative engines (ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews). The term emerged with the rise of these engines, which synthesise an answer instead of listing links — imposing a new optimisation discipline.
An extension of SEO
GEO does not replace SEO: it extends it. Many signals — quality, E-E-A-T, domain authority, structured data — serve both. GEO adds the requirement of being extractable and citable by an AI.
Origin of the term
The concept was formalised in 2023 by academic research — the paper "GEO: Generative Engine Optimization" (Aggarwal et al.) — then adopted across the SEO industry as AI Overviews went mainstream.
— The principles
The principles of GEO
Three principles guide the discipline. They explain why a piece of content is picked up — or ignored — by a generative engine.
01
Be extractable
A generative engine favours content it can slice and reuse: direct answers, clear definitions, lists, figures. GEO structures information so an AI can extract a citable passage without ambiguity.
02
Be reliable
AI engines weight reliability: E-E-A-T, factual consistency, freshness, well-defined entities. GEO strengthens these signals so the content is judged worthy of citation — this is where our AI agents optimise your IT content.
03
Carry authority
For equal content, an AI favours the more recognised source. GEO therefore works on perceived authority: mentions on trusted media, brand consistency, third-party signals. Coverage on iTPro.fr feeds this principle directly.
Is your IT content citable?
In 30 minutes, we pinpoint what's blocking your citation by generative engines — and where to start.
— The method
How do you do GEO?
Implementing GEO follows a three-lever method. It turns the principles above into concrete actions on your content.
1 · Structure for citation
We write citable content: clear answer up front, explicit subheadings, definitions, data, named entities. We refine semantics and structured data (FAQPage, Article) — to maximise extraction by generative engines.
2 · Strengthen authority signals
We consolidate E-E-A-T: content signed by experts, brand consistency, and above all mentions on trusted third-party sources like iTPro.fr. We also declare resources to AI crawlers (an llms.txt file).
3 · Measure and iterate
GEO is steered: we track which queries cite you, on which engines, against which competitors, and we iterate. Citation share becomes the central KPI, as generative answers keep evolving.
Move from ranking to citation
We apply GEO to your IT content: citable production, the iTPro.fr authority signal and presence tracking.
— GEO vs SEO
GEO or SEO: what the discipline changes
In one sentence: SEO optimises for a ranking in a list of links; GEO optimises for a citation in a generated answer. Same foundations, different goal.
01 · The unit of value
GEO doesn't primarily target a spot in the blue links.
It targets the citation in the answer — being named, not just listed.
02 · The central criterion
GEO doesn't rely on keyword density.
It relies on citability and authority — extractable, reliable, recognised.
03 · The perimeter
GEO isn't limited to your own domain.
It includes the third-party sources that AIs cite — iTPro.fr first.
| Dimension | SEO | GEO — Generative Engine Optimization |
|---|---|---|
| Unit of value | Position in the blue links | The citation in the generated answer — being named, not listed. citationcitation share |
| Central criterion | Keyword density & relevance | Citability and authority — extractable, reliable, recognised. citabilityextractabilityE-E-A-T |
| Target | Rankable pages | Citable passages: direct answers, definitions, data. named entitiesstructured data |
| Scope | Your own domain | Your domain + the third-party sources AI cites. third-party sourcesauthority |
| Surfaces | Google, Bing (links) | Generative engines: ChatGPT, Perplexity, Gemini, Copilot. generative enginesAI Overviews |
| Metric | Rank, CTR, organic traffic | Citation share and presence per query / engine. AI searchgenerative visibility |
| Winning format | Long keyword-optimised content | Answer-first, lists, tables, structured data. FAQ schemallms.txt |
Measure your citation share
We set your baseline on ChatGPT, Perplexity, Gemini & AI Overviews — then the plan to grow it.
— GEO benchmark
Where the citation is won
Not every optimisation carries the same weight. Here is the observed relative impact of GEO levers on an IT content's probability of being cited.
Illustrative data — TechMedias methodology grid. Replace with your own sample's measured values before publishing.
— Before / after
The citation share gained
Before GEO8%citation share on target queries (5 engines)
After GEO41%citation share on the same queries
+33 pts
Illustrative sample case — TechMedias reporting template. Document with your project's measured results.
A pillar page to get cited?
We rework it into a citable asset and track its progress across generative answers.
— Checklist
The GEO checklist in 10 points
- Direct answer up top of every section (30–60 words).
- Explicit named entities (products, standards, players).
- Structured data: FAQPage, Article, Organization.
- Verifiable numbers & sources in the body.
- Identified author + credentials (E-E-A-T signal).
- Dates published and updated, visible.
- Tables & lists for comparisons (extractable).
- Trusted third-party mentions (e.g. iTPro.fr).
llms.txtfile declaring your resources to AI.- Citation tracking per query and per engine.
— Go further
Resources & related pages
smart_toyAI Search Optimization: the brand-side viewPillar
cell_towerMedia activation on iTPro.frPillar
edit_noteCitable Brand & Custom ContentPillar
campaignIT Media Agency: the overall strategyPillar
radarMQL / SQL generationPillar
arrow_outwardCase study: CybersecurityCase
arrow_outwardAbout us — 25 years of IT authorityAbout
— Go further
Your GEO, from content to citation
The discipline builds on our levers. Here is where your GEO is implemented in practice.
arrow_outward
edit_note
Brand & Custom Content
Production: citable IT content, written by our experts and optimised for GEO / E-E-A-T by our AI agents.
arrow_outward
cell_tower
iTPro.fr Media Activation
The authority signal: mentions on iTPro.fr, a third-party source AI engines recognise.
arrow_outward
smart_toy
AI Search Optimization
The brand-side view: gain visibility in the answers of ChatGPT, Perplexity and Google AI.
arrow_outward
campaign
IT Media Agency
The overall strategy: embed GEO into your full media plan.
— Frequently asked questions
What people ask us about GEO
What is GEO (Generative Engine Optimization)?
GEO, or Generative Engine Optimization, is the discipline that optimises content to be selected and cited as a source by generative engines (ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews). It is the counterpart of SEO in the AI era: SEO optimises for a ranking, GEO for a citation in the generated answer.
What is the difference between GEO and SEO?
SEO optimises a page to rank in an engine's list of links; GEO optimises content to be cited in an answer generated by an AI. Both share foundations (quality, E-E-A-T, authority, structured data), but GEO adds the requirement of being extractable and citable. A solid strategy handles both together.
Are GEO and AI search optimization the same thing?
They are two sides of the same subject. 'AI search optimization' mainly refers to the brand-side goal — being visible in AI answers. GEO refers to the technical discipline that gets you there. On our AI search optimization page we cover the brand-side stakes; here, we detail the method.
What are the basic GEO techniques?
Structuring content for extraction (clear answer up front, definitions, lists, data, named entities); strengthening reliability and E-E-A-T signals; building authority through mentions on trusted third-party sources; and measuring presence in AI answers to iterate. Structured data helps where relevant.
Does structured data (schema) help with GEO?
It contributes: clear markup helps engines understand entities, context and the nature of the content, which eases its extraction and citation. Schema alone is not enough — content quality, clarity and authority remain decisive — but it is part of the GEO toolkit.
How do you measure the results of a GEO effort?
By tracking your presence in generative answers: which queries cite you, on which engines, against which competitors, and how it evolves over time. As GEO is a continuous discipline, measurement mainly serves iteration: reinforcing content that emerges and fixing content that stays invisible.
GEO does not run on its own: it needs content and distribution. The TechMedias media kit shows how the three hold together.
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Citable content, authority signals and presence tracking. The GEO discipline applied to your IT content.
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