What Happened: Google's AI Overviews Under Legal Scrutiny
In a federal antitrust hearing, Judge Amit Mehta questioned Google's labeling of AI Overviews as a 'product improvement,' noting it seemed 'really unfair' that Google builds this feature 'on the backs of the publishers.' This is part of Penske Media's case against Google, and it's a direct challenge to the traffic-for-content arrangement that has underpinned the web for decades.
For your business, this is a signal that the rules of search are being rewritten. If you rely on Google for traffic, the outcome of this case could change how your content is used and whether you get credit for it.
Does It Affect Your Business?
If you publish content to attract customers, yes. The case could force Google to change how it uses publisher content in AI Overviews, potentially reducing the visibility of your pages or altering how you're compensated. Even if you don't rely heavily on Google, the precedent could affect how other AI platforms treat content.
Spam Update Fallout: AI Content Under the Microscope
Google's August spam update reportedly hit fully automated AI sites, while those with human review held up better. Google hasn't confirmed targeting AI, but the message is clear: mass-produced, low-value content—whether human or AI—won't rank. This aligns with Google's spam policy against content designed mainly to manipulate rankings.
For your business, this means if you're using AI to churn out content without adding real value, you're at risk. But if you use AI as a tool to enhance quality, you're likely fine.
GEO: No Special Work Needed for Google
Google's John Mueller said there's 'nothing really special you need to do for generative AI responses in search.' This suggests that traditional SEO fundamentals still apply for Google's AI Overviews. However, other AI engines like ChatGPT and Perplexity may retrieve sources differently, so don't assume one approach works everywhere.
AI Citations: Your Brand Can Be Recommended Without Being Cited
Shero Commerce analyzed 1,851 citations across Google AI Mode, ChatGPT, and Perplexity. Only 2.8% of citations went to brand-owned pages, but when a brand was recommended by name, its own page got cited 31% of the time. This means brand recognition matters—AI tools are more likely to cite you if they know you.
For your business, focus on building brand mentions and authority. If AI tools recommend you but cite a third-party site, you're missing out on referral traffic.
ChatGPT's Reddit Behavior Is Query-Dependent
New testing shows ChatGPT's citations of Reddit vary by query. In one case, it retrieved 71 pages, 48 from Reddit, and cited six of eight from a subreddit. In another, it retrieved 84 Reddit threads but cited none. This means you can't assume AI engines favor or avoid any domain consistently.
For your business, don't overreact to a single report. Instead, monitor your own visibility across AI platforms.
What This Means for Your Business
For most small and mid-sized businesses, the immediate impact is limited. If you're not heavily dependent on Google organic traffic or AI-driven referrals, these changes are background noise. But if you are, here's what to watch:
- Diversify your traffic sources: Don't rely solely on Google. Build email lists, social followings, and direct traffic.
- Focus on brand authority: Get mentioned by name in industry publications and forums. AI tools are more likely to cite you if they recognize your brand.
- Use AI responsibly: If you use AI for content, ensure it adds unique value and is reviewed by humans. Mass-produced, low-quality content is risky.
For most businesses, the takeaway is to keep doing solid SEO and content marketing. The fundamentals—quality, relevance, and authority—still matter.
Your Move
This week, audit your content strategy: if you're using AI, add a human review step and focus on building brand mentions outside your own site.
FAQ
Unlikely, but the antitrust case could force changes in how Google uses publisher content, potentially affecting your traffic.
No, but ensure it's human-reviewed and adds unique value. Mass-produced, low-quality AI content is risky.

