
Online Advantages® Releases Six-Month AI Search Visibility Research, Revealing 12 Lessons for Brands
PRNewsWire
Published: Aug 10, 2026, 08:28 AM GMT+9
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Online Advantages ®, a full-service digital marketing agency specializing in SEO, paid search, social media, content marketing and emerging AI search strategies, has released findings from six months of research and testing into how businesses can improve their visibility across AI-powered search engines and answer platforms. The findings are detailed in the company's new research article, "How to Improve Brand Visibility in AI Search Engines: 12 Lessons From Six Months of Testing." The project grew out of a fundamental change taking place in digital marketing: consumers are increasingly receiving recommendations, summaries and direct answers from artificial intelligence before—or sometimes instead of—visiting traditional search results. Rather than relying solely on predictions about where AI search may be headed, Online Advantages spent six months examining what was actually happening across client campaigns, its own digital properties, AI visibility tools, citation patterns, content experiments and emerging industry research. The company evaluated visibility and search behavior involving platforms and experiences including Google AI Overviews, ChatGPT, Gemini, Claude, Perplexity and Microsoft Copilot.
"One of the biggest lessons from the last six months is that AI search doesn't appear to eliminate the need for SEO—it expands it," said Matt Maglodi, founder of Online Advantages. "We're increasingly looking beyond whether a webpage ranks and asking whether an AI system can understand who a business is, what it's known for and whether that information can be verified across the web."
12 Lessons From Six Months of AI Search Visibility Research Online Advantages identified 12 recurring themes during the research period: 1. Traditional SEO still matters. Strong technical foundations—including crawlable HTML, internal linking, backlinks, topical depth, structured data and overall website authority—continue to provide an important foundation for AI search visibility. 2. Entities are becoming increasingly important. Keywords still have value, but AI systems increasingly need to understand the relationships among businesses, people, services, locations, industries and topics. A business should not simply be associated with a keyword. Its broader identity and areas of expertise should be understandable across its entire digital presence. 3. Case studies can be more valuable than generic content. Real projects provide AI systems and potential customers with information that can be evaluated and verified, including locations, photographs, statistics, challenges, solutions and measurable outcomes. 4. Press releases can become digital knowledge assets. A modern press release can do more than generate publicity. Properly developed releases can establish facts, events, relationships, company developments and other information across authoritative third-party sources that may subsequently be discovered by search engines and AI systems. 5. LinkedIn matters more than expected. One observation from the research was that useful content did not necessarily need thousands of reactions to become valuable. Consistent publishing, professional identity and ongoing subject-matter discussion may contribute to a broader digital footprint even when individual posts are not viral. 6. Reddit and authentic online discussions frequently appear during AI research. AI-powered research experiences often surface discussions containing firsthand opinions, experiences and recommendations, demonstrating the potential importance of genuine conversations beyond traditional corporate ...
Source: PRNewsWire
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