How to Identify Low-Hanging Fruit Keywords

E977: Google has quietly released one of the biggest updates to Google Search Console in years.

I break down the new AI-powered reporting feature that lets you analyze your Search Console data using natural language. Instead of manually building filters and digging through reports, you can now ask Google Search Console questions about your search performance and instantly uncover insights about the queries driving traffic to your site.

This change fundamentally alters how SEOs, marketers, and site owners can work with their search data. With simple prompts, you can now identify high-intent keywords, uncover missed ranking opportunities, and quickly surface the queries most likely to drive leads and sales.

Edward also walks through practical ways you can immediately find "low-hanging fruit" transactional keywords - high-intent search queries where your site is already ranking but not yet in the top positions.

We also cover major news from the AI world: reports that ChatGPT is abandoning its push into agentic commerce. After introducing instant checkout and partnerships with retailers like Walmart, Etsy, and Shopify merchants, OpenAI appears to be stepping back from allowing users to complete purchases directly inside ChatGPT.

If this shift holds, it has major implications for SEO, ecommerce, and the future of AI-driven shopping.

Topics covered: - The new AI prompt feature inside Google Search Console performance reports - How natural language queries can replace manual filters and data exploration - Prompts you can use to identify transactional search queries - How to find keywords with strong buying intent - A simple method for discovering low-hanging fruit ranking opportunities - Why ranking position filters reveal your biggest SEO opportunities - Why this update could significantly change how SEOs analyze search data - Reports that ChatGPT is stepping away from agentic commerce - Why users were researching products in ChatGPT but not completing purchases there - The technical challenge of catalog normalization across millions of ecommerce products - Why companies like Google and Microsoft took years to build shopping infrastructure - Consumer behavior challenges around trusting AI agents with purchases - Why AI platforms may remain traffic drivers rather than transaction platforms

If you work in SEO, content marketing, ecommerce, or growth, this episode explains how these two developments could affect how people discover and purchase products online.

⭐️ ChatGPT is abandoning agentic commerce - https://www.linkedin.com/posts/juozas_chatgpt-is-abandoning-agentic-commerce-its-activity-7435308306329473025-Ncy0/

💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/

00:00 Big Updates 00:36 GSC AI Performance Report 01:37 Prompts for Buyer Intent 02:22 Low-Hanging Fruit Keywords 03:07 Limits and What's Next 04:06 ChatGPT Drops Agentic Commerce 05:23 Why Instant Checkout Failed 06:41 Trust and Behavior Barriers 07:32 Normalization Debate 09:09 SEO Takeaways 10:35 Wrap Up

The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

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