GEO and AI search guides
Practical, in-depth playbooks for tracking your brand in AI search, optimizing content for answer engines, and getting your site cited by ChatGPT, Perplexity, Claude, and Google AI Overviews.
Tracking
How to track brand mentions in ChatGPT
A practical guide to monitoring how ChatGPT mentions your brand — manual sampling, automated tracking with Geosaur, and what to do when answers drift.
How to monitor Google AI Overviews
Detect when Google AI Overviews trigger for your target keywords, capture the cited sources, and track changes over time to protect organic visibility.
How to track Perplexity citations
Perplexity always cites sources. Here's how to find out whether your domain is in the citation pool, track citation share, and improve placement.
How to track Claude mentions
Claude is the AI of choice for knowledge workers and developers. Here's how to verify Claude can reach your content, monitor what it says, and improve visibility.
Optimization
How to rank in Google AI Mode
Google AI Mode is the conversational successor to traditional search. Here's how to be cited inside its multi-turn answers and protect your share of voice.
How to fix low AI visibility
A diagnostic playbook for brands that are invisible or under-represented in AI search results — covering crawler access, content gaps, authority signals, and structural fixes.
How to optimize content for answer engine optimization (AEO)
Content patterns that get extracted and cited by AI answer engines — answer-first formatting, schema, topical depth, and the specific changes that lift citation rate.
Technical
How to write an llms.txt file
llms.txt is the emerging standard for telling AI engines which pages are your canonical sources. Here's how to write one, what to include, and how it differs from robots.txt.
How to set up AI crawler access
A complete reference for allowing the right AI crawlers in robots.txt — GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, Google-Extended, Applebot-Extended, and others.
Skip the manual work
Geosaur automates everything in these guides — prompt runs, brand detection, sentiment, drift alerts — across every major AI engine.
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