Original research, practical guides and category-specific analysis on AI Brand Intelligence and AI Visibility. Everything is based on prompt data — not opinion.
Original research on how AI assistants recommend brands across specific industries. Each report analyzes 1,400+ prompts and identifies the exact factors driving recommendation frequency.
An analysis of prompt data from ChatGPT, Claude, Gemini and Perplexity shows three brands dominate AI recommendations for mid-market fleet management — and the specific content and citation moves that put them there.
Not all brands that appear in AI answers appear consistently. This research identifies the specific trust signals — review volume, trade press citations, named experts — that push a brand past the threshold for reliable AI recommendation.
SOC 2, ISO 27001, and penetration test reports are almost always published in formats that AI crawlers cannot read. This analysis quantifies the visibility cost — and shows exactly how to fix it.
Step-by-step guides for improving specific aspects of your AI Visibility — based on what we have found works in practice.
A practical checklist covering the most common technical barriers to AI crawlability — from client-rendered JavaScript to noindex directives on high-value pages.
AI models prefer structured, specific, factual content. This guide covers the specific formatting and writing patterns that increase the probability of your content being lifted into AI answers.
AI models trust third-party corroboration more than owned content. This guide explains the specific types of external citations that most reliably improve AI recommendation frequency.
AI Visibility is a measure of how often and how prominently your brand appears in AI assistant responses when buyers ask questions in your category. See our full explanation on the homepage.
A percentage score reflecting your share of AI-generated recommendations across 1,400+ buying prompts and four AI models. Industry leaders average 68%. Most businesses start below 10%.
Three factors: retrievable content (information the model can read), third-party corroboration (citations from sources the model trusts), and technical accessibility (pages the crawler can actually index).
SEO targets Google's ranking algorithm. AI Visibility targets how language models retrieve and use content — which responds to different signals. A high-ranking page may still be invisible to AI.
The fastest way to understand where your brand stands — a free AI Visibility Snapshot, delivered within 24 hours.