How AI decides which brands to recommend
A practical look at mentions, citations, recommendations, and the signals that move a brand from invisible to shortlisted.
Practical guides, research, and playbooks for understanding how buyers discover brands through ChatGPT, Claude, Perplexity, and Gemini.
A practical look at mentions, citations, recommendations, and the signals that move a brand from invisible to shortlisted.
A plain-language introduction to the buyer questions that matter, the four signals worth tracking, and the reason a brand can be visible without being recommended.

Learn the fundamentals, plan the work, or give your team a practical template to use today.
A useful prompt set mirrors real buying decisions. This guide shows how to find specific questions your team can influence.
Read the guideUnderstand the difference between appearing in an answer and becoming the brand an AI assistant tells a buyer to choose.
Read the guideUse the pages AI already trusts to spot missing proof, weak category coverage, and clearer opportunities for your site.
Open the playbookTurn a missed recommendation into a focused task with the prompt, evidence, owner, expected impact, and next re-check date.
Get the templateA simple before-and-after report for sharing changes in recommendations, citations, rank, and visibility with stakeholders.
Get the templateA benchmark framework for comparing coverage across categories, engines, buyer roles, and high-intent questions.
Explore the researchAI visibility is easier to improve when every idea connects back to a real buyer question, a real answer, and a clear reason another brand appeared first.

Enter your website for a free reveal of where you appear, which competitors get recommended, and what your team should investigate first.