Prepare
Audit llms.txt, robots.txt for GPTBot / ClaudeBot / PerplexityBot, citation-friendly schema markup, and content structure that AI engines can quote. Fix the technical access first.
AI engines are answering the questions your customers used to ask Google. Rookery is the cloud SEO + AEO platform that audits your content, tracks AI citations, and tells you what to fix to win the AI search era.
AEO — Answer Engine Optimization — is the discipline of ensuring AI assistants like ChatGPT, Claude, Perplexity, and Google's AI Overviews cite your content when answering user questions. It's new territory for most teams.
Three inputs drive AEO: content structure (schema markup, clear Q→A formatting), technical access (are AI crawlers allowed? is there an llms.txt?), and brand tracking (is your brand actually being mentioned in LLM answers?). This experience covers all three. Start with Prepare → fix your content; then Track → measure your share of voice; then Optimize → act on the weakest signal.
Every AEO score Rookery shows you is built from three honest measurements. No black box. Each pillar deep-links into the workflow that fixes it.
Audit llms.txt, robots.txt for GPTBot / ClaudeBot / PerplexityBot, citation-friendly schema markup, and content structure that AI engines can quote. Fix the technical access first.
Pin the prompts that matter to your brand. Rookery runs them nightly across ChatGPT, Claude, Perplexity, and Google AI Overviews — measuring share-of-voice over time.
A prioritized punch-list of actions ranked by impact on your weakest sub-score. Every recommendation links straight to the tool that ships the fix.
Run the setup wizard, point it at your domain, and watch the Scorecard fill in. The first audit is on us.
Early customer interviews are in progress. Want to be one of them? Start free.
“Cited 4× more often in ChatGPT after the Prepare audit.”
“Tracked prompts caught a Perplexity citation drop within 24h.”
“Replaced a quarterly hand-built AEO deck with one shareable link.”
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