Audit and refine AI-generated content

While AI tools can assist in the writing process, the final output still has to satisfy Google's Search Essentials (opens in a new tab) and deliver the depth expected from high-quality content that genuinely helps the reader.

Code Example#

While there's no "code" to detect AI, you can signal human involvement and expertise in your metadata and bylines.

<article>
  <header>
    <h1>Advanced TypeScript Patterns</h1>
    <div class="meta">
      <span>By Jane Smith, Senior Engineer</span>
      <span>Fact-checked on October 20, 2023</span>
    </div>
  </header>
  
  <p>In this article, we'll explore patterns I've used in production at ScaleTech...</p>
</article>

Why It Matters#

• Quality Standards: Google's guidance on creating helpful, reliable, people-first content (opens in a new tab) targets low-value automation that does not add original insight.
• Accuracy: AI can hallucinate facts; human verification is essential for YMYL content, where bad advice can cause real harm.
• Uniqueness: Prevents your site from becoming a "carbon copy" of other sites using the same AI prompts.
• User Experience: Human-edited content is generally more engaging, nuanced, and better at solving specific user problems.

If a draft feels generic, unsupported, or too close to what a model would produce by default, review it alongside thin-content risk before deciding it is ready to publish.

Exceptions#

• Necessary utility or compliance pages can be intentionally brief and should not be judged by the same editorial-depth expectations as ranking-focused content.
• AI-assisted drafting is not a failure by itself; flag unsupported claims, missing editorial review, or low-originality output instead.
• When a page has both trust-signal issues and crawl/index problems, make the page eligible to rank first and then improve the content quality signals.

Standards#

• Use these references as the standard for the final search-facing HTML, metadata, and crawl behavior.
• Check the implementation against Google Search Central: Search Essentials before treating the rule as satisfied.
• Check the implementation against Google Search Central documentation before treating the rule as satisfied.

Verification#

Automated Checks#

• Inspect rendered HTML and HTTP headers to confirm the expected metadata or crawlability signal is present.
• Test the affected URL with Google Search Console or equivalent tooling where relevant.
• Re-crawl a representative page set after deployment.

Manual Checks#

• Confirm the change does not create conflicting canonical-url, robots, or structured-data signals.