Google Ends &num=100: What It Means for SEO and the Future of AI Search

September 21, 2025
Generative Engine Optimization (GEO) as the future of AI Search marketing

In a move that caught the entire SEO industry by surprise, Google has disabled the &num=100 parameter, the function that allowed marketers and SEO tools to view the first 100 results for any search query.

This change is more than a technical update. It has profound implications for rank tracking, competitive research, and long-tail SEO strategies. But it also highlights a bigger trend: the future of search is moving away from static rankings and into AI-driven answers.

At iGEO, we believe this shift underscores why Generative Engine Optimization (GEO) is the next frontier. Let’s break down what happened, what it means for your marketing workflows, and how to adapt.

What Was the &num=100 Parameter?

For years, adding &num=100 to a Google search URL forced Google to display the top 100 search results on a single page.

This was a crucial tool for:

  • SEO platforms (like Ahrefs, SEMrush, and others)
  • Rank trackers monitoring performance beyond page 1
  • Competitive analysts looking for emerging content opportunities

Without it, search professionals lose reliable access to deeper ranking data.

Why Does This Change Matter for SEO?

1. Reduced Visibility Beyond Page 1

SEOs can no longer track rankings past the first 10 results as easily. That means less insight into whether content is slowly climbing the ranks from page 5 → page 2.

2. Impact on Long-Tail Strategy

Long-tail keywords often live beyond page 1 before gaining traction. Without visibility into these results, content refresh and improvement strategies become harder.

3. Data Providers Affected

Third-party data providers, including those used by Ahrefs and other SEO platforms, relied on this parameter. Their data coverage will now be limited.

Why This Matters Less in AI Search

Here’s the truth: AI Search doesn’t have a page 2.

In platforms like ChatGPT, Gemini, Perplexity, or Claude, your brand is either:

  • Included in the AI answer set, or
  • Absent altogether

That means the old SEO model of “tracking rankings across 100 results” is already outdated. The real question isn’t “Am I #42 on Google?” It’s:
“Am I mentioned in AI-powered answers when my customers search?”

The Rise of GEO: Generative Engine Optimization

At iGEO.ai, we’ve been preparing for this exact moment.

Generative Engine Optimization (GEO) focuses on how your brand is represented inside AI-driven answers. With iGEO, you can:

  • Monitor AI Search visibility → Track when and where your brand appears in ChatGPT, Gemini, and more.
  • Analyze brand mentions & sentiment → See how AI engines describe your company compared to competitors.
  • Optimize for AI answers → Get actionable recommendations to improve your presence in generative results.
  • Prove AI traffic impact → Attribute traffic, conversions, and brand lift directly from AI search sessions.

How Marketers Should Respond

  1. Accept that deep Google rank tracking is over. The first page has always been the most valuable, but now it’s also the only consistently trackable one.
  2. Shift KPIs to visibility, not positions. Instead of monitoring movement from #89 → #53, focus on whether your brand is present in AI responses.
  3. Double down on GEO. AI search engines are where buyers are discovering, evaluating, and deciding today.

Frequently Asked Questions (FAQ)

What is the Google &num=100 parameter?

The &num=100 parameter was a search URL setting that allowed users and SEO tools to view the top 100 Google search results on one page. Google recently disabled this functionality.

Why did Google remove the &num=100 parameter?

Google hasn’t released an official statement, but the removal appears to limit large-scale scraping and reduce the ability for third-party providers to pull deep ranking data.

How does this change affect SEO rank tracking?

SEO platforms can no longer reliably track rankings beyond the first page of Google results. This impacts long-tail keyword tracking, competitive research, and content performance monitoring.

Does this impact AI Search?

Not directly. AI Search platforms like ChatGPT, Gemini, and Perplexity don’t have multiple pages of results. A brand is either included in the AI answer set or it isn’t.

Why is AI Search visibility more important now?

Since Google is limiting deep ranking data, measuring visibility in AI-generated answers becomes the more reliable and strategic metric. This shift highlights the importance of Generative Engine Optimization (GEO).

How can iGEO.ai help with these changes?

iGEO.ai tracks brand visibility, mentions, sentiment, and competitor presence across AI-powered search engines. It provides actionable insights to improve your GEO strategy and prove the business impact of AI search traffic.

Conclusion

Google’s removal of the &num=100 parameter is a wake-up call. Traditional rank tracking is becoming less reliable, and marketers who rely on long-tail visibility need a new approach.

The good news? AI Search is the real battleground — and it’s where most future discovery will happen.

With iGEO.ai, you can stop worrying about rankings you can’t measure and start focusing on visibility that drives results.

Learn more about iGEO.ai and see how we’re shaping the future of AI Search optimization.