seo-aeo-best-practices
npx machina-cli add skill sanity-io/agent-toolkit/seo-aeo-best-practices --openclawSEO & AEO Best Practices
Principles for optimizing content for both traditional search engines (SEO) and AI-powered answer engines (AEO). Includes Google's EEAT guidelines and structured data implementation.
When to Apply
Reference these guidelines when:
- Implementing metadata and Open Graph tags
- Creating sitemaps and robots.txt
- Adding JSON-LD structured data
- Optimizing content for featured snippets
- Preparing content for AI assistants (ChatGPT, Perplexity, etc.)
- Evaluating content quality using EEAT principles
Core Concepts
SEO (Search Engine Optimization)
Optimizing content to rank well in traditional search results (Google, Bing).
AEO (Answer Engine Optimization)
Optimizing content to be selected as authoritative answers by AI systems.
EEAT (Experience, Expertise, Authoritativeness, Trustworthiness)
Google's framework for evaluating content quality.
Resources
See resources/ for detailed guidance:
resources/eeat-principles.md— EEAT implementation and author schemaresources/structured-data.md— JSON-LD patterns (Article, FAQ, Breadcrumb, Product)resources/technical-seo.md— Technical SEO checklist (metadata, sitemaps, hreflang, robots.txt)resources/aeo-considerations.md— AI/AEO considerations (AI Overviews, crawler management)
Source
git clone https://github.com/sanity-io/agent-toolkit/blob/main/skills/seo-aeo-best-practices/SKILL.mdView on GitHub Overview
This skill provides a pragmatic framework for optimizing content for both traditional search engines and AI-powered answer engines. It centers on EEAT principles, JSON-LD structured data, and core technical SEO tasks like metadata, sitemaps, and robots.txt to boost visibility, trust, and AI selectability.
How This Skill Works
It guides you to apply metadata and Open Graph tags, and to implement JSON-LD across Article, FAQ, Breadcrumb, and Product schemas. It also covers technical SEO tasks such as maintaining sitemaps, robots.txt, and hreflang, plus bots management and AI-readiness checks. Finally, it aligns content quality with EEAT principles to increase both traditional rankings and AI-selected answers.
When to Use It
- Implementing metadata and Open Graph tags
- Creating sitemaps and robots.txt
- Adding JSON-LD structured data (Article, FAQ, Breadcrumb, Product)
- Optimizing content for featured snippets
- Preparing content for AI assistants (ChatGPT, Perplexity, etc.)
Quick Start
- Step 1: Audit current metadata, Open Graph tags, and EEAT signals on key pages
- Step 2: Implement JSON-LD for relevant types (Article, FAQPage, BreadcrumbList, Product)
- Step 3: Validate with schema validators, publish, and monitor search and AI performance
Best Practices
- Align with EEAT by documenting expertise, providing clear author attributions, and citing credible sources
- Use JSON-LD for Article, FAQPage, BreadcrumbList, and Product schemas consistently
- Keep metadata, titles, descriptions, and OG tags aligned with page content
- Maintain up-to-date sitemaps, robots.txt, and hreflang where applicable
- Test structured data with validators and monitor impact on search and AI indexing
Example Use Cases
- A blog post implements Article schema and adds FAQPage sections to target featured snippets
- A product page uses Product schema and BreadcrumbList to enhance rich results and navigability
- A company page showcases EEAT signals with author bios and credibility cues to build trust
- A knowledge base article employs FAQPage and concise, snippet-friendly answers
- A site-wide update of sitemap and robots.txt improves crawler access and AI indexing
