All Guides

Understanding how language models form and express opinions about brands, products, and organizations.

Step-by-step guide to running your initial brand audit and understanding what the results mean.

Deep dive into the 6-metric framework: accuracy, sentiment, visibility, coverage, credibility, and recommendation.

Why high Google rankings don't guarantee AI visibility, and what to do about it.

How to structure content so language models can parse, understand, and cite it accurately.

Technical guide to JSON-LD schemas, llms.txt files, and other markup that helps AI understand your content.

Creating question-answer content that becomes the source AI cites when users ask about your category.

The technical and training reasons behind false claims, outdated info, and entity confusion.

How to create the ground truth repository that powers accurate AI responses about your brand.

Practical strategies for fixing inaccurate AI responses through content and outreach.

Understanding where you rank against competitors in AI recommendations and how to improve.

Measuring your presence in AI category discussions and tracking changes over time.

Managing AI perception for large organizations with multiple products and stakeholders.

Strategies for improving perception across ChatGPT, Claude, Gemini, and Perplexity simultaneously.