In a recent LinkedIn post, Ann Smarty discusses a quick way to compare how ChatGPT and Gemini answer search queries. This article covers Smarty’s published advice; it is not written by or on behalf of her. She recommends using a Chrome extension to examine the answers and the information they surface.
“Analyze AI Answers from BOTH ChatGPT and Gemini to capture and compare:”
What to look for in AI answers
Smarty’s checklist goes beyond comparing the wording of two chatbot responses. She points readers toward signals that may help explain how AI-generated answers are assembled and which sources or entities appear in them. As Ann Smarty notes, the comparison can include:
- Fan-out queries
- Cited domains and URLs
- Mentioned entities and brands
- Listed products
- In-answer ads
That range makes the tip relevant to search visibility work: a practitioner can inspect not only what an AI system says, but also which sources it cites and which brands, products or commercial placements it includes. Smarty’s post presents these as items to capture and compare, rather than claiming that the exercise alone establishes how either platform ranks or selects information.
A lightweight workflow for SEO and GEO
Smarty frames the process as accessible, describing it as a “quick and easy SEO/GEO tip.” According to Ann Smarty, the stated requirements are a Chrome browser and the extension linked in her post. The post does not name the extension or explain its mechanics, so readers would need to consult the link for details about its features and use.
“All you need is the Chrome browser and this extension: https://lnkd.in/gKCaJhER”
Why compare two platforms?
By naming both ChatGPT and Gemini, Smarty encourages readers to look for similarities and differences across AI answer experiences. A cited URL appearing in one response but not the other, for example, could be a useful observation for a marketer to investigate. The post offers a practical starting point for that review, while leaving the choice of queries and interpretation of results to the user.
What the post leaves open
Smarty’s brief recommendation is a prompt to observe, not a detailed methodology. It does not specify how many queries to test, how often to repeat them, or how to assess whether a citation or product mention is meaningful. Those questions matter for anyone turning a quick comparison into a sustained SEO or generative engine optimization process.
Still, the core idea is straightforward: inspect AI answers from more than one service and record the sources, entities, products and ads they show. Smarty closes her post with an upbeat assessment—“Pretty awesome :)”—and positions the browser extension as an easy way to get started.
📝 About This Content
This article is based on insights shared by Ann Smarty on LinkedIn.
📅 Originally posted on November 5, 2026 | View original post on LinkedIn →