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Google’s June 2024 Spam Update Targets AI Content & Expired Domain Abuse: What Creators Must Do

MyShine June 26, 2026 8 minutes read

Google Launches Major Spam Update Targeting AI Content & Expired Domain Abuse

Close-up of a typewriter typing 'Google Core Update' on paper, symbolizing digital advancement.
Photo by Damien Lusson

Google confirmed the rollout of its June 2024 spam update on June 20, 2024. This core algorithm update specifically targets scaled content abuse and the manipulative practice of repurposing expired domains with low-quality content. For AI content creators and publishers, this update represents a significant escalation in Google’s enforcement of its spam policies, moving beyond manual actions to algorithmic penalties.

The update, which began rolling out on June 20, is expected to take up to two weeks to complete. It directly enforces the revised Scaled Content Abuse policy announced in March 2024, which explicitly called out the use of automation to generate low-value content at scale. Simultaneously, Google is strengthening its systems against Expired Domain Abuse, where domains with established history are purchased and filled with irrelevant, often AI-generated, content to manipulate search rankings.

The practical impact is immediate: websites relying on mass-produced, unoriginal AI content or leveraging expired domains for quick authority will see significant ranking drops or de-indexing. This is not a theoretical warning; it’s a live, global algorithm change actively reshaping the SERPs. For legitimate creators using AI as a tool, the mandate is clear: prioritize quality, expertise, and user value above all else. The era of ranking through pure volume is officially over.

Deep Dive: The Two-Pronged Attack on Modern Spam

A smartphone displaying Google Search trends on a table at night.
Photo by Click Jeth

Google’s June 2024 update is a coordinated strike against two of the most prevalent spam tactics in the post-AI landscape. Understanding the mechanics of each is crucial for content strategy.

Scaled Content Abuse: The AI-Generated Spam Crackdown

This policy enforcement targets the industrial-scale production of content designed primarily for search engines, not users. The key shift from the March announcement is that this is now an automated, algorithmic penalty. Google’s systems are now trained to identify hallmarks of abusive scaling, which often includes:

  • Mass-produced, templated content: Pages where only keywords, locations, or minor details are swapped, creating thousands of near-duplicate articles.
  • Low informational value: Content that regurgitates surface-level information without unique analysis, expertise, or firsthand experience.
  • Automation without human oversight: Publishing pipelines where AI generates and posts content without meaningful human review, editing, or quality assurance.

Google’s documentation states the goal is to reduce “low-quality, unoriginal content that provides little to no value to users, no matter how it was created.” The emphasis on “no matter how it was created” is critical—it refutes the notion that human-written spam is acceptable. However, the efficiency of AI tools has made scaled abuse drastically easier, placing AI-assisted workflows directly in the crosshairs.

Expired Domain Abuse: Closing the “Authority Hijacking” Loophole

This tactic involves purchasing domains that once had legitimate authority and backlink profiles, then repurposing them for entirely unrelated, low-quality content. A classic example is buying an expired domain for a former local bakery, then filling it with AI-generated articles about “best casino bonuses” or “payday loans.”

Google’s update aims to sever the inherited ranking power of these domains when a fundamental, manipulative topic shift occurs. The algorithm now assesses:

  • Topic and purpose discontinuity: A radical change in the site’s core subject matter post-purchase.
  • Quality discontinuity: A steep drop in content quality, originality, and depth compared to the site’s previous iteration.
  • Intent to deceive: The clear objective to leverage old links to rank new, low-value pages.

Websites engaging in this practice will find the historical domain authority neutralized, rendering the investment and content worthless for SEO purposes.

Impact for AI Content Creators and Publishers

Close-up of laptop screen showing TikTok news articles with a purple background.
Photo by UMA media

This update fundamentally changes the risk-reward calculus for AI-driven content production. The consequences fall into three tiers:

1. High-Risk Operations Facing Immediate De-indexing

Entities running pure “content farms” are the primary target. These include:

  • Affiliate sites with thousands of AI-generated product “reviews” lacking hands-on testing.
  • Local service portals creating auto-generated pages for every city and town without local expertise.
  • News aggregators republishing or lightly rewriting stories without licensing or added reporting.
  • Any site using expired domains to host unrelated AI content.

For these sites, recovery is not a matter of tweaking meta tags. It requires a complete strategic overhaul, likely involving removing vast swathes of content and restarting with a quality-first approach—if they are not permanently penalized.

2. Legitimate Publishers Using AI at Scale: The Quality Imperative

Many reputable media companies and blogs use AI tools like ChatGPT, Claude, or Jasper to assist in ideation, drafting, or summarization. The update does not forbid this. The critical line is in the application and final output.

The safe path requires a robust human-in-the-loop (HITL) workflow. Every piece of content must demonstrate:

  • Expertise: Subject matter knowledge, either from the author or through cited, authoritative sources.
  • Experience (E-E-A-T): Firsthand perspective, unique testing, or original analysis that cannot be replicated by simply prompting an LLM.
  • Substantial Value: Solving a user’s problem more effectively than the top 5 existing search results.

Publishers must audit their content libraries, especially pages produced in high volume, to ensure they meet this bar. Tools like Originality.ai or Copyleaks can help identify AI-dense text, but the final judgment is a human one: “Does this help my reader?”

3. The End of Expired Domain Arbitrage for SEO

The SEO tactic of buying expired domains for their link equity is now a high-risk, likely futile endeavor unless the new site’s content is genuinely high-quality and thematically consistent with the domain’s history. This update significantly raises the barrier to entry for new sites looking to quickly rank, pushing strategy back towards genuine brand building and earned authority.

Practical Tips to Survive and Thrive Post-Update

Wooden Scrabble tiles spelling 'AI' and 'NEWS' for a tech concept image.
Photo by Markus Winkler

Adapting your AI content strategy is non-negotiable. Implement these actions immediately.

1. Conduct a Content Audit with a “Scaled Abuse” Lens

Don’t just look at traffic drops. Proactively audit.

  • Use Google Analytics and Search Console: Identify pages with high impressions but low clicks (a potential sign of thin content).
  • Cluster Analysis: Group content by template (e.g., “[Product] Review for [City]”). If you have hundreds of near-identical pages, they are at risk.
  • Quality Scorecard: Manually review a sample. Does each page have unique insights, data, images, or expert quotes? If not, plan to rewrite, consolidate, or noindex.

2. Implement a Human-Centric AI Content Workflow

Automate the process, not the judgment. Redesign your pipeline:

  • AI as a Collaborator, Not an Author: Use AI (GPT-4, Claude 3) for research outlines, title variations, and drafting sections. The final piece must be heavily edited, fact-checked, and enriched by a human expert.
  • Mandatory Original Assets: Every major piece should include original screenshots, data visualizations (from your research), custom graphics, or video.
  • Cite Primary Sources: Link to original studies, official documentation, and authoritative interviews—not just other blog posts.

3. Double Down on E-E-A-T Signals

Make expertise unmistakable.

  • Author Bios: Include detailed credentials, experience, and links to professional profiles (LinkedIn).
  • “Why Trust Us” Pages: Create site-wide pages detailing your team’s expertise, editorial process, and fact-checking standards.
  • First-Person Experience: Where possible, create content based on actual use, testing, or implementation. Document the process.

4. If You Use an Expired Domain, Align Content and Demonstrate Legitimacy

If your site is on a repurposed domain, take proactive steps:

  • Audit and Remove Off-Topic Content: Delete any content that has no logical connection to the domain’s historical theme.
  • Create a Transparent “About” Page: Explain the site’s new ownership and mission. Honesty can be a positive signal.
  • Build New, Quality Links: Don’t rely on old links. Pursue legitimate PR, guest posting, and resource links based on your new, high-quality content.

Forward-Looking Summary: The New Rules of AI-Powered Publishing

Close-up of a typewriter with the word Deepfake typed on paper. Concept of technology and media.
Photo by Markus Winkler

Google’s June 2024 spam update is a defining moment. It draws a bright line between using AI as a productivity tool and using it for spam. The algorithmic penalty for scaled abuse means low-quality AI content is no longer just ineffective—it’s actively dangerous to site health.

The path forward is one of augmented intelligence, not artificial replacement. Successful creators will leverage AI to enhance human creativity and efficiency while anchoring their output in real-world expertise and user-centric value. The metrics that matter now are depth, originality, and utility—not word count or publication velocity.

For the SEO and content industry, this update accelerates the shift from technical manipulation to brand building. Investment must flow into subject matter experts, rigorous editorial processes, and unique content formats that competitors cannot easily replicate with a single API call. The tools have changed, but the fundamental rule remains: create for people first. Google’s latest systems are now better than ever at identifying who does.

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