Masthead’s Digital AI Summit

Stop Trusting AI Visibility Scores: A Real Framework for Measuring LLM Visibility in 2026

As AI Overviews and LLM-driven search reshape how consumers discover brands, most marketers are relying on tools that promise “AI visibility” but actually measure modeled estimates, not real brand exposure. This session breaks down the critical difference between potential visibility (what tools infer) and actual visibility (what LLMs truly surface to users).

Attendees will learn how to establish a defensible AI visibility baseline, avoid misleading metrics, and build a practical framework for tracking brand presence across ChatGPT, Perplexity, Claude, and Google AI Overviews. This talk provides clarity in a confusing space and a blueprint for staying visible as AI search evolves.

Participant Takeaways:

  • Understand the gap between modeled AI visibility and actual LLM retrievals, and why current SEO tools inflate visibility metrics.

  • Learn a repeatable framework for measuring true AI visibility, including prompt design, query validation, clustering, and cross-model verification.

  • Discover how major LLMs (ChatGPT, Claude, Perplexity, GAIO) prioritize sources and what signals increase your brand’s likelihood of being mentioned.

  • Identify emergent AI competitors that differ from traditional organic competitors, and how to adjust your content strategy accordingly.

  • A 90-day plan for improving AI visibility using existing content, without relying on unproven or opaque third-party metrics.

Masthead AI Digital Summit
$250.00
One time

Marissa Incitti

Founding Member, AI Marketing Innovation Council (AIMIC)

Marissa Incitti is a content and SEO strategist with over a decade of experience helping brands translate complex topics into content that actually gets discovered. Her work sits at the intersection of traditional search, AI-driven discovery, and large language model optimization, where she applies deep content strategy, SEO, and search behavior analysis to understand how LLMs surface, interpret, and cite content. Today, in addition to content strategy, she advises teams on AEO/GEO optimization and on evaluating and implementing LLM visibility tools through a practical, audience-first AEO lens, turning abstract AI signals into actionable content decisions.

Register For the Summit to Attend Stop Trusting AI Visibility Scores