Outlet
MOZ Blog
Visit website
SEO professionals need to understand how LLM grounding—the distinction between static training data and real-time web retrieval—affects brand visibility in AI search results.
Moz released a dataset of 50,000 fan-out prompts across 1,000 subtopics, revealing that brand mentions cluster in entity and comparison queries, and that most fan-outs balance topical relevance with diversity.
Moz announced the first five speakers for MozCon London on November 13, 2026, with sessions covering AI search agents, topical content optimization, and agentic e-commerce.
A landscaping-focused agency tested whether adding LocalBusiness schema markup boosts rankings in a controlled 10-week study across 29 clients and multiple search engines.
As LLMs reshape search results, Moz breaks down four new SEO tactics—digital PR, barnacle SEO, and more—that prioritize third-party citations over traditional links.
Google is restructuring search to mimic creator platforms, prioritizing influence and guided discovery over traditional rankings and clicks.
AI citation building—getting your brand mentioned in AI-generated responses—is becoming essential as ChatGPT and Gemini become discovery channels for buyer journeys.
Traditional SEO tactics built for lexical search are misaligned with AI search's actual mechanics; optimization must shift toward atomic content structure and cross-platform consideration.
Rejoice Ojiaku's PEE framework (Point, Evidence, Explain) simplifies AI search optimization by returning to clarity fundamentals rather than complicated new tactics.
Traditional SEO metrics like rankings and clicks don't translate to AI search; brands must track visibility, recommendations, and citation accuracy instead.
Moz has announced MozCon 2026 will launch as a roadshow in London on November 13, featuring industry speakers and networking events.