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Category: AI Visibility Engineering

How to Block AI Crawlers, and Whether You Should

You can block AI crawlers with robots.txt, server rules, or Cloudflare, but whether you should depends on data about which bots hit you and whether AI answers send you traffic or just take content. To block AI crawlers, name each bot in robots.txt with Disallow, add server rules that reject their user agents, or turn […]

How to Optimize Your WordPress Site for AI Visibility in 2026

TLDR: To optimize WordPress for AI visibility, ship fast pages, question-shaped headings with direct answers, raw HTML, structured data, and real topical depth, then watch the crawlers respond. Optimize WordPress for AI visibility with fast pages, clear structure and direct answers under question-shaped headings, content in raw crawlable HTML, structured data for articles and FAQs, […]

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 Visibility Audit Using Crawler Data to Identify Gaps in 2026

TLDR: An AI visibility audit finds the gap between what Google ranks and what AI cites by reading real crawler data, so you fix the exact pages AI bots ignore instead of guessing. An AI visibility audit maps where your brand actually stands in the gap between ranking on Google and getting cited by AI. […]

PerplexityBot Explained: User Agents, Verification, and the robots.txt Controversy

PerplexityBot is Perplexity's search crawler that indexes public pages so they can be surfaced and linked in Perplexity answers, and it identifies itself as PerplexityBot/1.0 in your server logs. PerplexityBot is Perplexity's crawler for search, not for model training. It sends the user agent PerplexityBot/1.0, reads server-delivered HTML, and indexes pages so Perplexity can cite […]

What Makes a Source Get Cited by AI? Lessons from Crawler Data in 2026

TLDR: A source gets cited by AI when it has strong brand search demand, quantitative claims, answer-first structure, and 40 to 60 word paragraphs, with most citations pulled from the top third of the page. A source gets cited by AI when it pairs strong brand search demand with quantitative claims, answer-first structure, and short […]

ClaudeBot Explained: Anthropic's Crawlers, User Agents, and robots.txt Control

ClaudeBot is Anthropic's web crawler that collects public content to train the models behind Claude, and it identifies itself as ClaudeBot/1.0 in your server logs. ClaudeBot is Anthropic's training crawler. It sends the user agent ClaudeBot/1.0, reads the HTML your server returns, and feeds that text into the data used to train Claude. Anthropic also […]