Field notes on how brands get cited, recommended, and trusted across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
Set up competitive monitoring for AI answers: baselines, alert thresholds that ignore noise, root-cause analysis and a response playbook for lost recommendations.
Priya Bothra · Sep 12, 2026
A measurement framework linking AI visibility to pipeline: a KPI tree from leading to lagging metrics, instrumentation steps and an executive-ready ROI view.
Priya Bothra · Sep 11, 2026
Build an operating model for ongoing AEO: roles, weekly and monthly rhythms, triggers, approvals and governance that keep AI visibility work moving.
Dharini Shah · Sep 11, 2026
You can't split ChatGPT's users, but you can test AEO changes. Learn page-group tests, control prompts, sample sizes and how to read noisy AI results.
Priya Bothra · Sep 11, 2026
A practical framework for prioritizing AI visibility fixes by dependency, business value, gap size, confidence and effort, with a scoring model you can use today.
Dharini Shah · Sep 10, 2026
Learn to read server logs for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot and more, verify real bots and turn crawl data into fixes.
Priya Bothra · Sep 10, 2026
What llms.txt is, the exact format from the proposal, a working example, how it differs from robots.txt and what major AI platforms have said about it.
Dharini Shah · Sep 10, 2026
A practical setup guide for Organization, Product and FAQPage schema in 2026, with JSON-LD examples, validation steps and what each does for AI search.
Dharini Shah · Sep 9, 2026
Learn to write content AI systems can extract and cite: answer-first structure, self-contained passages, explicit definitions, specifics and clean HTML.
Dharini Shah · Sep 9, 2026
