Many 2025–2026 marketing posts sell “schema for AI citations” as a must-have GEO tactic. Google’s official generative AI optimization guide pushes back on the hype without discarding structured data entirely.
In its mythbusting section, Google states that structured data is not required for generative AI search and that there is no special schema.org markup you must add to appear in AI Overviews or AI Mode. At the same time, Google says it remains a good idea to use structured data as part of overall SEO because it helps eligibility for rich results on Google Search.
Eligibility for generative AI features still rests on fundamentals: pages must be indexed and eligible to be shown with a snippet, and the site must be included in Search generative AI features in Search Console. Perfect semantic HTML is not required; crawlability, helpful content, and accurate local/commerce details matter more. Google likewise says llms.txt and similar AI text files are unused by Google Search (though they may still matter to other systems).
This article is framed as analysis based on Google’s published guidance, not as a new product launch or a claim that schema never helps elsewhere.
Why it matters for AiGEO users
Do not buy panic schema packages pitched as an AI-only silver bullet. Do keep practical JSON-LD that matches visible content — Organization, LocalBusiness, Product, Article, FAQ where accurate — because rich results and clearer entities still support classic SEO and help other engines understand your business. Pair schema with the hard work Google emphasises: unique, people-first content, clean technical access, and up-to-date Business Profile / Merchant Center data.
For an SMB marketing console like AiGEO, the takeaway is simple: keep schema on the SEO checklist, measure AI impressions separately, and spend most of the week on answers customers actually need.
Source: Google Search Central — Optimizing your website for generative AI features on Google Search