Google 3Q Earnings Miss: Search Growth Slows, Gemini Rises – What It Means for Local Businesses

What Happened

Google announced that its third‑quarter earnings missed analyst expectations, with revenue growth slowing across its core search business. While ad revenue from traditional search remained steady, the company’s AI‑driven services, including the Gemini chatbot, have yet to generate the high‑margin revenue many investors hoped for.

The key takeaways are:

• Search revenue growth slowed from 5.6% to 4.2% year‑over‑year.
• AI monetization lagged – Gemini’s commercial usage is still in early stages.
• Ad spend in search remained robust, but the shift toward AI tools could alter the revenue mix.

This shift signals that the era of pure keyword‑based search is evolving, and businesses must prepare for AI‑centric discovery.

Key Details

• Total revenue: $94.4 billion, down 1.9% YoY.
• Core search & YouTube: $67.9 billion, a 4.2% increase.
• Ad revenue: $61.5 billion, up 3.2% YoY.
• AI & cloud: $4.3 billion, up 6.9% YoY – still a small slice of the overall revenue.
• Gemini: Launched in 2023, it is now integrated into Google Search and Google Assistant, but commercial adoption is modest.
• User metrics: Daily active users on Gemini grew by 12% in Q3, but conversion to paid features remains low.

Why the slowdown matters

The slowdown in legacy search growth reflects a plateau in traditional keyword traffic. Meanwhile, AI tools like Gemini are reshaping how users find information – often bypassing the search bar entirely.

For marketers, this means:

• Traditional SEO tactics (keyword density, backlinks) still work but are no longer the sole lever.
• AI‑generated answers can directly pull data from your business profile.
• Citation quality and consistency become critical for AI models to surface accurate information.

What It Means For Your Business

1. Optimize for AI‑centric discovery – Ensure your business data is complete, accurate, and structured for AI models.

2. Focus on citations – AI tools pull from reputable citations; missing or incorrect citations can hurt visibility.

3. Leverage Gemini’s features – Test Gemini’s integration with Google Search to see if it surfaces your business in AI snippets.

4. Invest in content that answers intent – AI answers favor concise, factual content that directly addresses user queries.

5. Monitor AI ad opportunities – As Gemini matures, new ad formats may emerge; early adoption could give you a competitive edge.

Actionable steps for local businesses

• Audit your Google Business Profile: Verify hours, address, phone, and photos.
• Add structured data: Use schema markup for local business, products, and reviews.
• Encourage reviews: AI models weigh review sentiment heavily.
• Create FAQ pages: These can be harvested by Gemini for quick answers.
• Track AI search performance: Use tools that measure AI‑generated rankings, not just traditional SERPs.

By aligning your online presence with the evolving AI ecosystem, you position your business to be discovered even as search habits shift.

Conclusion

Google’s Q3 earnings reveal a turning point: legacy search growth is plateauing while AI monetization lags. For local and small businesses, the key is to adapt – ensuring accurate citations, structured data, and AI‑friendly content. Those who act now will be better positioned to capture the next wave of AI‑driven discovery.