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Google ai seo fundamentals

Skill looties-io/looties-skills/google-ai-seo-fundamentals

Skills we wrote for ourselves while building Looties. Figured others could use them too.

Install
npx -y skills add looties-io/looties-skills --skill google-ai-seo-fundamentals

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Google Search guidance for AI-assisted website content. Use when reviewing, writing, or governing generative AI content for SEO, including blog posts, marketplace listings, product descriptions, titles, meta descriptions, image alt text, structured data, and scaled content risks under Google's people-first content and spam policies.

SKILL.md

2.9 KB, as published. Nobody here has run it

Google AI SEO Fundamentals

Use this skill to keep AI-assisted content eligible for Google Search by making it helpful, reliable, accurate, and people-first. Treat AI as a production assistant, not a shortcut around editorial quality.

Source First

Read references/google-ai-content-guidance.md when the task needs Google-specific policy details, ecommerce AI-image/product-data notes, or a source-backed audit.

Workflow

  1. Identify the content surface.

    • Name the page type, content type, and publication goal.
    • Distinguish AI-generated text, AI-assisted edits, AI-generated metadata, AI-generated images, and AI-generated structured data.

  2. Apply the Google quality gates.

    • Keep the content useful to people before search systems.
    • Verify factual claims, product details, brands, dates, prices, availability, event names, and visual descriptions.
    • Remove generic filler, hallucinated specifics, keyword stuffing, and unsupported claims.
    • Avoid scaled content patterns that create many low-value pages to manipulate rankings.

  3. Review metadata and media.

    • Allow AI-assisted titles, descriptions, and alt text only when they are accurate, distinctive, concise, and relevant to the visible page.
    • Do not use AI to create misleading alt text, fake expertise, fake reviews, fake dates, or invented product attributes.
    • If the site is an ecommerce merchant using Google Merchant Center, check AI-generated image and product-data labeling requirements before shipping.

  4. Validate structured data.

    • Make JSON-LD match the visible page content.
    • Do not invent ratings, offers, availability, authors, organizations, or FAQ answers.
    • Treat structured data as normal rich-result support, not an AI Overview shortcut.

  5. Produce an action-oriented result.

    • State whether the content is safe to publish, needs edits, or should not ship.
    • List the highest-risk issues first.
    • Provide exact rewrites or review checklists when useful.
    • Keep optional agent-readable assets separate from Google Search content quality issues.

Do Not Claim

  • Do not claim that Google penalizes AI content solely because it used AI.
  • Do not claim AI output is acceptable without human review.
  • Do not claim mass AI-generated pages are safe when they lack unique user value.
  • Do not claim special AI schema, llms.txt, or Markdown mirrors are required for Google Search.
  • Do not claim OKF/Open Knowledge Format bundles, knowledge bundles, pricing.md, or other agent-readable files are required for Google Search.

Keep looking

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