Author: gisko00

Structured data decides whether AI engines name you or cite “one source”. The five schema types that drive citations, how to implement them, and what to expect.

Perplexity cites sources on every answer, which makes it the most winnable AI engine for newer brands. How its retrieval works and what earns the citation.

AI engines lift answers from pages built for extraction: direct answers in the first 100 words, question headings, scannable structure. The exact blueprint.

Most small businesses use AI, almost none have a plan to be cited by it. How to make ChatGPT, Perplexity and Google AI Overviews recommend your business.

llms.txt is a root file that points AI models at your best content. What the data says about adoption, who actually reads it, and how to publish one properly.

Ranking #1 in Google no longer guarantees AI visibility. The monitoring tools that track your brand across ChatGPT, Perplexity and AI Overviews — compared, with prices.

GEO is how you get cited by ChatGPT, Perplexity and Google AI Overviews instead of just ranking. The research-backed tactics, platform differences, and how to measure it.

AI Overviews now appear on roughly half of US Google searches, and 62% of their citations come from outside the top 10. How to become one of the cited sources.

ChatGPT referrals convert at 9x organic search. What makes ChatGPT cite a source, and the exact playbook to become one: structure, authority, recency.

Brand visibility in AI search is how often ChatGPT, Perplexity and Google AI Overview cite you. What drives citations, how to measure them, and how to grow them.