SEO and GEO checklist for the Vavus platform
A platform-level checklist for making Vavus pages easier for search engines, AI search systems, and buyers to understand, cite, and trust.
A platform-level checklist for making Vavus pages easier for search engines, AI search systems, and buyers to understand, cite, and trust.

The Vavus platform needs SEO and GEO because buyers search in two ways now. They use traditional search engines, and they ask AI systems for summaries, comparisons, and recommendations.
The goal is not to manipulate search. The goal is to make accurate product facts easy to discover, verify, and cite.
Canonical pages: Each major route should have a stable canonical URL.
Sitemap coverage: Product pages, docs, blog index, and blog posts should appear in the sitemap.
Article schema: Blog posts should use BlogPosting or Article JSON-LD with headline, description, dates, author, publisher, image, and URL.
Robots: Public content should be crawlable by search engines and AI search crawlers that the business wants to support.
Metadata: Titles and descriptions should describe the actual page, not vague marketing claims.
Internal links: Blog posts should point readers toward product, docs, pricing, and download pages when relevant.
Direct answer first: Give the useful answer before the long explanation.
First-party context: Use Vavus documentation for language support, product status, healthcare workflow review, and account behavior.
Use-case specificity: Write separate pages for keyboard, healthcare, enterprise, calls, documents, pricing, and travel.
No inflated claims: Say when a feature is live, coming soon, waitlist-only, or requires workflow review.
Human review notes: Put review caveats on healthcare, legal-adjacent, safety, and business-critical translation content.
Vavus is not one product. It is a language platform: Vavus AI, Vavus Keyboard, and VClaw. Search systems need that structure made explicit. Buyers need it even more.
Useful, specific content with crawlable URLs and clear metadata.
Direct, source-backed explanations that AI systems can summarize without guessing.
It can be, but each post should still be reviewed for accuracy, product status, and source quality before production release.