SEO & GEO Markup

Speak the Language of Machines

Schema.org, JSON-LD, ARIA... These technical standards allow Google robots and LLMs to instantly understand your content. We implement the markup that transforms your site into a reliable source for AI.

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The invisible code that makes all the difference

Structured markup is how you explain your content to robots. A well-marked site is understood 10x faster by AI, which maximizes your chances of being cited in their responses.

Schema.org & JSON-LD Describe your content (Organization, Article, FAQ, Product) in a format that machines instantly understand.

WAI-ARIA Structure your page so robots immediately identify main content vs chrome.

Rich Results Unlock Google rich snippets (FAQ, How-to, Reviews) that increase your CTR.

LLM-Ready Optimize your markup for LLMs that have a limited token budget to read you.

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Structured Data Schema.org / JSON-LD

VALID

{

"@context" : "https://schema.org" ,

"@type" : "Organization" ,

"name" : "EdgeAngel" ,

"knowsAbout" : [

"SEO" , "GEO" , "Data"

]

}

</script>

Schemas détectés

Organization FAQPage Article BreadcrumbList

ARIA Roles

role="main"

role="navigation"

aria-label

aria-describedby

Rich Results

100%

Valid
schemas

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Our SEO & GEO Markup Services

01 / 03

01
Existing Markup Audit

Complete analysis of your structured data and technical accessibility of your site.
- Crawl and extraction: Scan of all your pages to identify existing Schema.org, errors and missed opportunities.
- Google Rich Results validation: Compliance test with Google requirements for rich snippets (FAQ, How-to, Product, Article...).
- ARIA audit: Verification of landmarks, roles and labels for screen reader accessibility AND LLMs.
- Competitive benchmark: Comparison of your markup with competitors to identify quick wins.
02
Schema.org & JSON-LD Implementation

Deployment of structured data adapted to your business and optimized for GEO.
- Schema Organization: Definition of your entity (name, logo, founder, knowsAbout) to strengthen your presence in the Knowledge Graph.
- Schema Article & FAQ: Markup of your editorial content to maximize your chances of appearing in Featured Snippets and AI responses.
- Schema Product & Offer: Complete e-commerce markup (price, availability, reviews) for Google Shopping rich results.
- Schema LocalBusiness: Optimization for local SEO and voice assistant responses.
03
ARIA Standards & Web Performance

Beyond visible markup, we optimize what robots read first.
- WAI-ARIA Landmarks: Implementation of roles (main, navigation, complementary) to structure your page for machines.
- Labels and descriptions: Adding aria-label and aria-describedby to give context to interactive elements.
- Core Web Vitals: Verification that markup doesn't negatively impact performance (Cumulative Layout Shift in particular).
- Testing and validation: Automated tests (Lighthouse, Wave) and manual to ensure compliance.

Existing Markup Audit

Complete analysis of your structured data and technical accessibility of your site.

Crawl and extraction: Scan of all your pages to identify existing Schema.org, errors and missed opportunities.
Google Rich Results validation: Compliance test with Google requirements for rich snippets (FAQ, How-to, Product, Article...).
ARIA audit: Verification of landmarks, roles and labels for screen reader accessibility AND LLMs.
Competitive benchmark: Comparison of your markup with competitors to identify quick wins.

01.

AI, Data & Marketing
Expertise

Essential for driving and optimizing marketing, maximizing performance, and limiting regulatory risks.

02.

Premium
Consultants

Responsive, proactive with solid and proven expertise in AI & digital marketing data (and we're nice!).

03.

Personalized
Collaboration

EdgeAngel adapts to your organization for a tailor-made and efficient collaboration.

Your Markup & Structured Data experts

Engineers who master Schema.org, ARIA and semantic web standards

Olivier Chubilleau

Expert en Data Engineering

En tant que CEO et stratège SEO & GEO chez EdgeAngel, Olivier définit la vision de l'offre Generative Engine Optimization. Fort de 10 ans d'expérience à l'intersection de la Data et du Marketing, il pilote les projets les plus ambitieux et accompagne les directions marketing dans leur adaptation au nouveau paradigme du Search augmenté par l'IA.
Mathieu Lima

Lead Technique Data Engineering

Mathieu déploie l'infrastructure technique indispensable au SEO & GEO moderne. Expert en analyse de logs (Cloudflare, sGTM), il monitore le passage des robots IA (GPTBot, ClaudeBot) sur votre site et optimise l'architecture technique pour maximiser le budget de crawl et la digestibilité de vos contenus par les moteurs traditionnels comme génératifs.

Ready to accelerate your growth?

Let's discuss your data and marketing challenges. We'll respond within 24 hours.

Paul Schmitt

Consulting Director

"Our goal is to make your data actionable to generate concrete value, quickly."

Nos notes d'experts sur le sujet

Note d'expert

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Lire la note →

Note d'expert

Dossier RGPD : quelle utilisation de Google Analytics suite aux annonces de la CNIL ?

Notre analyse approfondie de l'utilisation de Google Analytics dans le cadre du RGPD et des directives de la CNIL. Quelles sont les implications légales, les alternatives disponibles et les recommandations pour rester en conformité ?

Lire la note →

Questions?

Why is Schema.org markup essential for GEO?

LLMs (ChatGPT, Perplexity, Claude) must understand quickly and unambiguously the content of your pages. Schema.org provides them this structured understanding: "This is an Organization, it's called X, it's expert in Y". Without this markup, AI has to interpret everything from raw text, which increases the risk of errors and decreases your chances of being cited.

What types of Schema do you recommend as priority?

For GEO, the most impactful are: Organization (identity, knowsAbout), FAQPage (questions/answers extracted directly by AI), Article (author, date, E-E-A-T expertise) and HowTo (step-by-step tutorials). For e-commerce: Product, Offer, Review. For local: LocalBusiness.

What's the difference between Schema.org and ARIA?

Schema.org (via JSON-LD) describes the content of your page (what it is, who it is, what it's about). ARIA describes the structure of your interface (where is the menu, main content, sidebar). Both are complementary: Schema helps Google and LLMs understand meaning, ARIA helps them navigate and prioritize page areas.

How does ARIA help AI robots?

LLMs have a limited token budget to read a page. ARIA landmarks (role="main", role="navigation") allow them to quickly identify main content vs chrome (menu, footer, sidebar). It's like giving them a map instead of letting them get lost in HTML. Less effort for AI = more chances of being well understood and cited.

Does markup impact performance (Core Web Vitals)?

Well-implemented JSON-LD has virtually no impact on performance because it's in the and doesn't block rendering. However, poor asynchronous loading of markup scripts can cause CLS (Cumulative Layout Shift) issues. We always validate Core Web Vitals after each implementation.

How do you validate that markup is correct?

We use several tools: Google Rich Results Test (official validation), Schema Markup Validator (JSON-LD syntax), Lighthouse (ARIA accessibility) and Wave (complete accessibility). We test before deployment AND after to ensure there are no errors in production.

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SEO & GEO Markup