2026年5月、Googleは公式ガイド「Optimizing your website for generative AI features on Google Search」で、AI専用の特別な対応を前提とした過剰な最適化は不要であり、従来の検索向けベストプラクティスで十分対応できると述べています。ただしこれは、Schema.orgに基づく標準的な構造化データそのものが不要になった、という意味ではありません。構造化データは検索順位を決める要因ではありませんが、リッチリザルト用途に加え、AIによる意味理解を補助する手段として引き続き有効です。実際、Googleのリッチリザルトテストは今も稼働しており、FAQPageやProductといったスキーマの実装品質を確認する手段として利用されています。
Genview's "Structured Data" feature helps you check, generate, and manage the installation status of the data (schema) that tells AI and search engines "what this page is about" — all in one place. Just as a person introduces themselves with a business card, AI also needs "who this company is" communicated in machine-readable language.
What is Genview's "Structured Data"?
Genview's "Structured Data" feature lets you check, generate, and manage the installation status of the data (schema) that tells AI and search engines "what this page is about" — all in one place. Just select the type of page, and Genview automatically detects the matching URL and generates the code, following a set order of priority.
Why schema matters
When AI puts together an answer, it reads and interprets information from the web. Without schema, AI fills in the gaps by guessing from each page's text. That can lead to your company's description drifting off — being mistaken for an "e-commerce support company" when you're actually an "AI search optimization SaaS" — or your FAQ simply not getting cited.
Schema is the way to stop that guesswork and hand AI accurate information directly.
Schema.org has 800+ types. You don't need all of them.
The structured data standard (Schema.org) has more than 800 schema types, but you don't need all of them. Genview organizes the schemas relevant to GEO strategy into four priority tiers, so it's immediately clear what to tackle first. Just work through them in priority order, and you'll build the foundation without getting lost.
S: Always add firstA: Next after SB: Next after S and AC: Only if the content applies
Generating it isn't the finish line — check that it arrived correctly
Structured data isn't done once it's installed. Genview checks the installation status first, has AI generate the code, and then guides you to external verification tools (Schema Markup Validator and Google's Rich Results Test) afterward — all managed in one flow. It's designed so you never end up just assuming it was installed correctly.
No specialist knowledge required
Even for a single type of schema, what you should write differs by company, service, and brand. Normally, that means looking up what goes in each field one item at a time, or going back and forth with AI through trial and error — a time-consuming process.
Genview automatically detects the target page's URL, then uses its own logic to generate content that fits your company's actual situation, almost entirely automatically. You'll still want to review the final content yourself, but there's no need to research everything from scratch — you can go straight to copy-and-paste installation. Genview's "Structured Data" feature lets you implement standard Schema.org-based schema without needing specialist knowledge.
On the claim that "Google says schema isn't necessary"
In May 2026, Google stated in its official guide "Optimizing your website for generative AI features on Google Search" that excessive optimization built around special AI-only treatment isn't necessary, and that standard search best practices are sufficient. This doesn't mean standard Schema.org-based structured data itself has become unnecessary. Structured data isn't a ranking factor, but beyond rich results, it remains effective as a way to help AI understand meaning. In fact, Google's Rich Results Test is still running today, used to check whether schemas like FAQPage and Product are correctly implemented.
Also worth noting: this view applies specifically to Google Search's generative AI features (AI Overviews, etc.). For other generative AI search products like ChatGPT and Perplexity, no comparably systematic official guide currently exists.
Structured data, at its core, is data that explicitly communicates the meaning and relationships of information to AI and search engines. Even if the "extra AI-specific treatment" isn't necessary, that underlying role hasn't gone away — keeping standard schema in place remains important.
Genview's "Structured Data" feature lets you implement standard Schema.org-based schema without needing specialist knowledge.
Who this is for
Marketing managers / executives / web managers / PR and communications staff / agencies
FAQ
Q1. What is structured data (schema)?
It's machine-readable descriptive data that tells AI and search engines "what this page is about." Separate from the page a human reads, it's embedded in the HTML in a form only AI can read.
Q2. What happens if I don't add schema?
AI ends up guessing at your content from each page, which can lead to descriptions that don't match your actual business, or your FAQ becoming less likely to be cited.
Q3. Do I need to install every type of schema?
No. Schema.org has more than 800 schema types, but Genview organizes them into four priority tiers — S (always add first), A (next after S), B (next after S and A), and C (only if the content applies) — and recommends working through them in priority order.
Q4. Can I install it without specialist knowledge?
Yes. Genview automatically detects the target page's URL and has AI generate the code, so you can go straight to copy-and-paste installation.
Q5. Can I check my current installation status before generating anything?
Yes. Select the type of page you want to install schema on, and Genview automatically searches for matching URLs and displays them in each schema's generation field. If no matching page is found, you can also register a URL manually.
Q6. How do I check things after installation?
Genview provides links to external tools — Schema Markup Validator (syntax checking) and Google's Rich Results Test (checking how it appears in Google Search) — so you can complete your post-installation checks.
Q7. If Google says schema isn't necessary, why should I install it?
What Google's May 2026 official guide called unnecessary was excessive optimization built around special AI-only treatment — not standard Schema.org-based structured data itself. Structured data is data that explicitly communicates the meaning and relationships of information to AI and search engines, and Google's Rich Results Test is still running today as a way to check implementation quality. Also, that view applies specifically to Google Search's generative AI features; for other generative AI search products like ChatGPT and Perplexity, no comparably systematic official guide currently exists.