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Official statement

Google has announced several new types of structured data: course information, vehicle announcements for auto dealerships, learning videos for students and teachers, vacation rental listings, updates to organization markup, and tagging for forum discussions and user profile pages.
🎥 Source video

Extracted from a Google Search Central video

💬 EN 📅 19/12/2023 ✂ 10 statements
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Other statements from this video 9
  1. Les données structurées garantissent-elles vraiment un affichage en résultats enrichis ?
  2. Pourquoi Google simplifie-t-il le rapport d'expérience de page dans Search Console ?
  3. Pourquoi Google a-t-il déplacé l'outil de test robots.txt dans Search Console ?
  4. Faut-il encore se soucier du crawl budget maintenant que Google supprime le paramètre de fréquence d'exploration ?
  5. Comment ralentir Googlebot quand il explore trop votre site ?
  6. Quelles sont les vraies priorités derrière les dernières mises à jour algorithmiques de Google ?
  7. Google-Extended dans robots.txt : faut-il bloquer l'IA générative de Google ?
  8. La fin des cookies tiers menace-t-elle vos conversions e-commerce ?
  9. Pourquoi Google élargit-il soudainement ses rapports Search Console aux données structurées ?
📅
Official statement from (2 years ago)
TL;DR

Google is rolling out six new structured data types: educational courses, automotive listings, educational videos, vacation rentals, expanded organization markup, and tagging for forum discussions and user profile pages. These additions aim to enrich search results in specific sectors. In practice? More opportunities for rich display, but also more technical complexity to manage.

What you need to understand

Why is Google multiplying structured data types?

Google is working to structure web content to better understand pages and display richer results. These new types address specific sectoral needs: education, automotive, tourism, online communities.

The objective is twofold. First, improve user experience by providing information directly in the SERPs (price, availability, ratings). Second, reduce reliance on plain text — Google wants clear, actionable data for its algorithms.

Which sectors are directly affected?

Educational platforms (online courses, universities) can now markup their educational content and videos. Auto dealerships gain a dedicated format for their listings. Vacation rentals (like Airbnb) finally have an official schema.

Forums and social networks — Reddit, Stack Overflow, LinkedIn — can markup discussions and user profiles. This changes the game for community platforms that want to push their user-generated content.

Do these new types replace existing schemas?

No, they complement the current toolkit. Organization markup is expanded (new fields), but core schemas (Article, Product, Event) remain unchanged. It's a strategy of progressive enrichment.

Google tests, iterates, then generalizes — or abandons. Some structured data types end up forgotten if adoption is low. Speakable, anyone?

  • Six new types cover education, automotive, tourism, forums
  • No replacement — enrichment of existing schemas
  • Google wants actionable data, not ambiguous text
  • Not all sectors are concerned — vertical targeting
  • Adoption remains optional but strategic for visibility

SEO Expert opinion

Will these new types really impact your CTR?

Hard to quantify without real field data. [To be verified] — Google never shares precise numbers on the impact of rich snippets by type. Historically, well-implemented structured data increases CTR (between 10% and 30% according to studies), but it all depends on the sector and competition.

For vacation rentals and automotive listings, the effect should be measurable: price, availability, and visuals catch the eye. For forums and profiles? Less obvious. Google already displays discussion excerpts — markup could just formalize what already exists.

Will Google really leverage all these new schemas?

Caution advised. Google regularly announces new types of structured data that it never displays systematically. Implementation doesn't guarantee anything — it just makes you eligible.

The trigger criteria remain opaque: search volume, content quality, competition, geographic relevance. Some sites mark up everything correctly and see no rich snippets. Others — often the big players — immediately benefit from the new formats.

Warning: Implementing these schemas requires time and resources. If your sector isn't on the list (courses, auto, vacations, forums), don't rush — focus on established types (Article, Product, FAQ, HowTo).

Is this multiplication of schemas good news?

Yes and no. For specialized sites, it's an opportunity to stand out in the SERPs. For small sites with limited technical resources, it's another headache.

The risk? Creating an SEO divide between those who can afford comprehensive markup maintenance and those who can't. Google is pushing toward increased complexity that mechanically favors large players and teams with solid technical expertise.

Practical impact and recommendations

Should you implement these new types immediately?

Only if your site falls into one of the targeted categories. Selling cars? Go for the Vehicle schema. Managing a forum or community? Test DiscussionForumPosting and ProfilePage.

For everyone else — news sites, standard e-commerce, corporate blogs — no rush. Focus first on the fundamentals: Article, Breadcrumb, Organization, Product, FAQ.

How do you verify implementation is correct?

Use the Google Rich Results Test for each new type you implement. Warning: technical validation ≠ guaranteed display. Google can validate the schema and never show it in results.

Monitor Search Console — Enhancements section. Google flags markup errors, but not actual SERP display. For that, you need to manually monitor search results or use a SERP tracking tool.

  • Identify whether your sector is affected by the new types (courses, auto, vacations, forums)
  • Prioritize established schemas before experimenting with new ones
  • Use the Rich Results Test to validate technically
  • Monitor Search Console for errors and warnings
  • Test actual SERP display — validation guarantees nothing
  • Document your implementation for easier maintenance
  • Schedule regular monitoring — Google changes the rules often

These new types open opportunities for certain vertical sectors, but require specialized technical expertise and constant monitoring. Between Schema.org documentation, Google's specific requirements, and performance monitoring, complexity escalates quickly.

If your team lacks bandwidth or structured data skills, it may be wise to get support from an SEO agency specialized in this field that can master these technical challenges and integrate these optimizations into a coherent overall strategy.

❓ Frequently Asked Questions

Les données structurées sont-elles un facteur de classement ?
Non, pas directement. Google l'a toujours affirmé : les données structurées rendent éligible aux rich snippets, mais n'améliorent pas le positionnement organique. En revanche, un meilleur CTR grâce aux résultats enrichis peut indirectement influencer les performances.
Que se passe-t-il si mon balisage contient des erreurs ?
Google ignore les parties incorrectes et traite ce qu'il peut exploiter. Dans certains cas, une erreur critique empêche l'affichage du rich snippet. La Search Console signale les problèmes — surveillez-la régulièrement.
Peut-on combiner plusieurs types de schémas sur une même page ?
Oui, c'est même recommandé quand c'est pertinent. Un article de blog peut avoir Article + Breadcrumb + Organization + FAQ. Assurez-vous juste que chaque schéma décrit un élément distinct de la page.
Google affichera-t-il ces nouveaux rich snippets partout dans le monde ?
Pas nécessairement. Certains formats sont déployés progressivement par région ou langue. Les sites anglophones et américains voient souvent les nouveautés en premier. Patience pour les autres marchés.
JSON-LD, Microdata ou RDFa : quel format privilégier ?
Google recommande JSON-LD pour sa simplicité d'implémentation et de maintenance. Microdata et RDFa fonctionnent aussi, mais JSON-LD est plus facile à gérer via un tag manager et à auditer.
🏷 Related Topics
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