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From Anker SOLIX to xTool — the brands above already see how ChatGPT, Gemini and Perplexity mention, cite and recommend them. Your brand is being talked about in AI right now. See it.
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The GEOly blog covers GEO (Generative Engine Optimization), AI search and agentic commerce — data-driven insights, benchmarks and playbooks on how brands get mentioned, cited and recommended across ChatGPT, Gemini, Perplexity and Google AI. Browse every topic by tag or author below.

Traditional SEO is dying as AI engines like Perplexity and ChatGPT Search take over the results page. To survive, you must stop being a search result and start being the primary source. This guide breaks down the new "receipts-over-prose" strategy to help you dominate the zero-click reality

The customer journey has shifted from 'Search -> Click' to 'Search -> Read Answer'. The safety net of a top Google ranking is gone. Learn the 4 hard truths of Generative Engine Optimization (GEO) and how to ensure your brand remains visible in the age of AI
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This comprehensive report analyzes the "Copernican Moment" in digital marketing—the inevitable transition from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). We contrast Surfer SEO’s established logic of reverse-engineering SERPs with GEOly’s AI-native approach to brand visibility. By examining critical differentiators such as AIGVR (AI Brand Visibility Rate), SoM (Share of Model), and machine-readability protocols like llms.txt, this study provides a strategic roadmap for enterprises. Discover how to move beyond chasing organic traffic to competing for the "Golden Recommendation Slot" in Large Language Models
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This report conducts a deep-dive comparison between the AI-native GEO platform GEOly and the enterprise SEO giant Conductor. It analyzes how GEOly captures the probabilistic nature of LLMs through its AIGVR metric and llms.txt protocol support , while Conductor leverages its massive historical data for Share of Voice benchmarking and unified organic marketing. By deconstructing their differences in technical architecture, attribution models, and deployment options (SaaS vs. Private Cloud), this guide assists decision-makers in choosing the right visibility stack for the Generative AI era
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As the digital landscape shifts from traditional search to AI-driven answers, businesses must adapt their visibility strategies. This report provides an in-depth strategic comparison between Relixir, an enterprise-grade reputation engine, and GEOly, a specialized ecommerce efficiency tool. We analyze their distinct approaches—Relixir's "Simulate-Diagnose-Publish" loop for brand sentiment versus GEOly's catalog automation for Shopify conversion—to help decision-makers navigate the 2026 GEO market
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As search traffic shifts towards Generative AI, brands face the new challenge of becoming "AI-recommended." This report offers a detailed comparison of two leading GEO solutions: GEOly and Birdeye Search AI. Our research reveals that GEOly positions itself as a "Technical Architect," focusing on URL-level semantic analysis, private cloud deployment, and llms.txt protocol adaptation—ideal for large digital brands prioritizing data sovereignty. Conversely, Birdeye leverages its "Reputation Engine," utilizing AI Agents to automate local listings and review management, making it the premier choice for physical chain brands fighting for dominance in "Near Me" searches. The report includes a comprehensive decision tree to guide enterprises in making strategic investments during this critical transition from SEO to GEO