Insights on AEO strategy, AI-powered search, and how brands stay visible when answers replace links.
AI answers by location change retrieval, ranking, personalisation, language, feature availability, or regional rules; evidence does not yet show that physical location alone causes every variation.
Getting a brand mentioned in ChatGPT requires crawlable, clear information, relevant independent evidence, and repeated testing across realistic prompts; these actions can improve discoverability and accuracy but cannot guarantee a mention, citation, or recommendation.
PerplexityBot is associated with broad crawling and index refreshes, while Perplexity-User is associated with user-triggered retrieval; official documentation confirms separate identifiers but does not prove every fresh-fetch responsibility.
AI crawlers are automated clients whose roles vary across training, search indexing, user-triggered retrieval, and product control; user-agent strings, robots.txt, logs, and IP checks provide useful but limited evidence.
Different AI models find different things in the same documents. Here's what the research actually shows, and why model choice is a research methodology decision, not a feature checkbox.
92% of users don't verify AI outputs. Here's a framework for knowing when that's fine and when it'll burn you
Most synthesis guides are built for academics writing literature reviews. Here's a workflow for knowledge workers who need to turn 20+ sources into a deliverable with a deadline.