Articles on getting cited by AI answers, tracking model recommendations, and building the sources AI engines trust.
ChatGPT Atlas, Perplexity Comet, and Gemini in Chrome now browse for the buyer. Here is what agentic browsing changes for how your brand gets found.
AI Mode and AI Overviews agree on the answer 86% of the time but cite the same sources only 14%. What that citation gap means for your brand.
AI shopping is a discovery channel, not a checkout. Where ChatGPT, Perplexity, and Google AI Mode pull product picks, and how brands earn them.
Reddit Answers went from 1M to 15M weekly users in a year. Your brand's Reddit threads now feed a second AI surface, not just ChatGPT and Google.
Community marketing needs a board-ready measurement model. Track prompt coverage, source share, mention rate, and citation movement without overclaiming.
A Parse-derived look at 1,000 subreddits, 462,236 recent brand mentions, and when Reddit can change AI recommendations.
AI search runs on a narrow source graph. Here are the 50 ChatGPT-cited domains in the head of the market, and what brands should do with them.
AI Overviews changed the job of community marketing: create trusted source evidence before buyers and search engines form the answer.
AI recommendations come from retrievable evidence, not vibes. Here is how ChatGPT, Perplexity, Google, and Claude choose brands.
Organic clicks are shrinking. The answer is not more content, it is brand presence inside the communities AI and buyers already trust.
AI models cite brands they see in trusted community threads, not brands that publish more blog posts. Here is the 2026 agency playbook for engineering those citations.
82% of AI citations come from earned media, not your blog. Here is the community-to-AI pipeline that explains why your competitors get cited and you do not.