Launch Deal$99 Lifetime Deal (limited time)View Offer

Category: AI Discovery Engineering

How to Structure WordPress Content for Maximum AI Crawler Discovery in 2026

TLDR: Structuring WordPress content for AI crawler discovery is five moves - clean headings, direct answers, raw HTML, fast Core Web Vitals, and explicit entities - then reading the crawl to confirm it landed. Structure WordPress content for AI crawler discovery with a clean heading hierarchy, a direct answer in the first sentence under each […]

robots.txt for AI Crawlers

robots.txt for AI crawlers uses User-agent and Disallow lines to allow or block bots like GPTBot and ClaudeBot, but the file is voluntary, so some crawlers ignore it entirely. robots.txt for AI crawlers is a plain-text file at your site root that names each AI bot in a User-agent line and uses Disallow to control […]

llms.txt Explained and How to Create One

llms.txt is a proposed plain-text file that lists your most important pages in Markdown so AI models can find clean content fast, but adoption stays limited and no major AI company has confirmed its crawlers read it. llms.txt is a plain-text file you place at the root of your website that points AI language models […]

AI Citation Patterns 2026: Which Bots Reference Your Content and Why

TLDR: Every AI platform has its own citation fingerprint, ChatGPT leans on Wikipedia, Perplexity on Reddit, Claude on authoritative sources, so tailor content by platform and track which bots actually crawl your pages. AI citation patterns differ by platform: ChatGPT leans on Wikipedia almost half the time, Perplexity leans on Reddit, and Claude wants authoritative, […]