The past week has been big for Google news, but not in the way many of us expected. Two major updates are shaking up conversations in SEO and digital marketing:

  1. The Google Antitrust Ruling
  2. Revelations about AI Overviews using FastSearch (not links)

Here’s what you need to know.

1. Google’s Antitrust Case: The Final Ruling

Judge Amit Mehta just handed down the remedies in Google’s monopoly case, and let’s just say, Google execs probably opened the champagne or whiskey!

Despite being found guilty of maintaining monopoly power, the “punishments” are minimal. Google won’t have to sell Chrome, Android, or really restructure anything fundamental to its business.

The data, historical dominance, and end-to-end user experience will pretty much remain untouched.

What Google can’t do going forward:

  • No exclusive contracts for the distribution of Search, Chrome, Gemini, or Google Assistant
  • Must provide Qualified Competitors with limited access to index/user-interaction data (not ads data)
  • Must disclose material changes to ad auctions for transparency
  • Must offer syndication services to competitors to help them build their own search capacity

What Google doesn’t have to do:

  • No divestiture of Chrome or Android
  • No choice screens on Android or Chrome
  • No granular advertiser query-level data sharing
  • No public education campaigns
  • No self-preferencing restrictions
  • No major changes in how publisher content is used

In short, Google is barred from exclusivity contracts and must share some data, but otherwise, business continues as usual. What is interesting is Google's ongoing relationship and “interest” with Reddit, the second fastest growing community and search engine; this doesn’t come by chance. Are they preparing for the next biggest shift in search experience, or what do they have up their sleeves?

2. FastSearch: How Google’s AI Overviews Really Work

The antitrust case also gave us an inside look at how Google’s AI Overviews are powered, and here’s the kicker: they don’t use traditional link-based rankings.

Instead, Google uses a proprietary system called FastSearch, which is based on a deep-learning ranking model called RankEmbed.

What is FastSearch?

  • Retrieves fewer documents than standard Google Search (faster, but lower quality)
  • Based on RankEmbed signals, a model trained on click-and-query data + human rater scores
  • Prioritizes semantic relevance (pattern-matching language and intent) over link authority
  • Designed to “ground” Gemini models with quick text snippets, not fully ranked SERPs

This explains why early AI Overviews sometimes surfaced spammy or low-quality sites. FastSearch bypasses many of the trust, authority, and spam filters we’re used to in traditional search.

What This Means for SEOs

These two stories together highlight the new reality of search:

  • Google’s power isn’t going anywhere. The antitrust ruling leaves its dominance intact.
  • AI search is rewriting the rules. Links may no longer be the currency of visibility in AI Overviews. Instead, semantic relevance, user behavior data, and rater-trained quality signals are what matter.
  • Multi-surface visibility is critical. Ranking in classic search is still important, but so is showing up in AI summaries across Google, ChatGPT, Perplexity, Claude, and beyond.

Takeaway for SEOs:

Traditional SEO is not dead, but the signals that matter are evolving. Focus on brand authority, topical coverage, and user intent satisfaction if you want your content cited in AI-driven search experiences.