{"id":17078,"date":"2025-11-27T13:16:23","date_gmt":"2025-11-27T13:16:23","guid":{"rendered":"https:\/\/blog.wellows.com\/?p=17078"},"modified":"2026-07-08T12:48:15","modified_gmt":"2026-07-08T12:48:15","slug":"how-to-find-queries-for-geo","status":"publish","type":"post","link":"https:\/\/wellows.com\/blog\/how-to-find-queries-for-geo\/","title":{"rendered":"Finding The Right GEO Queries: What Matters and Why"},"content":{"rendered":"
Share with AI<\/div>
\n <\/path><\/path><\/path><\/path><\/svg><\/span>\n Google AI<\/span>\n <\/a>\n <\/path><\/svg><\/span>\n ChatGPT<\/span>\n <\/a>\n <\/path><\/circle><\/svg><\/span>\n Perplexity<\/span>\n <\/a>\n <\/path><\/svg><\/span>\n Grok<\/span>\n <\/a>\n <\/path><\/svg><\/span>\n Claude<\/span>\n <\/a><\/div><\/div>\n

Finding the right queries to track in 2025 has become one of the biggest challenges in AI search. It often feels like working inside two search systems at the same time.<\/strong><\/p>\n

Google keywords on one side, and how to rank in chatgpt<\/a> style conversational discovery on the other.<\/p>\n

Across our work with SaaS companies, agencies, and local-first brands, we kept seeing the same pattern. Every visibility review paused at a single question:<\/p>\n

\u201cAI search is where buyers ask now, but which queries should we track?\u201d<\/strong><\/em><\/p>\n

Some teams relied on old keyword lists. Others tested random prompts. Most were guessing. That guesswork reduced visibility in AI answers and made it difficult to measure real performance.<\/p>\n

AI-first discovery is now mainstream. Google\u2019s AI Overviews<\/strong> reach about 1.5 billion monthly users<\/strong> (SEJ, 2025<\/a>). Local intent also remains strong, with 46% of Google searches<\/strong> leading to quick real-world actions (Backlinko, 2025<\/a>).<\/div>\n

To stay visible, brands now need more than keywords. They must understand and track the real questions people ask AI systems and search engines.<\/p>\n

These questions are conversational and intent-driven. They sit at the core of AI Search Visibility and Generative Engine Optimization (GEO)<\/a>.<\/p>\n

In this blog, I share the process our team developed and refined with partners. It shows how we build a clear, trackable query list and turn it into content that AI engines can cite with confidence.<\/p>\n

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Why Traditional Keyword Research No Longer Works for GEO in 2026<\/h2>\n

Traditional keyword research was built for blue-link SEO. It focuses on short phrases, exact matches, and high-volume terms. This approach does not match how AI systems evaluate content today.<\/p>\n

AI tools read full questions. They focus on intent and context, not isolated keywords. They pick sources that explain a topic clearly and support it with evidence.<\/p>\n

This creates three main gaps in old keyword research:<\/p>\n

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