BotSee Field Library

A practical reference for the answer economy.

See what AI answers say. Then decide what to do.

Twelve rigorous field guides for teams measuring mentions, citations, competitors, and the evidence behind AI recommendations.

12 Field Guides

Choose the question in front of you.

Each guide begins with an operational diagram, then moves from observation to a decision your team can actually make.

Learn what changes when teams move from rankings-only SEO reports to AI visibility reporting across ChatGPT, Claude, Gemini, and Perplexity.

AI Visibility Monitoring

Learn what AI visibility monitoring measures, how to build a useful prompt library, and how to turn structured answer-engine results into content and positioning work.

AI Visibility by Country and Language

A practical workflow for measuring how AI answers change across markets, languages, and buyer contexts before you make the wrong expansion decisions.

BotSee vs Semrush

Semrush tracks Google rankings. BotSee tracks how your brand appears in ChatGPT, Claude, and Gemini answers. Here is what each tool does and why you probably need both.

BotSee vs Profound

A practical comparison of BotSee and Profound for AI visibility monitoring. Covers API access, pricing, use cases, and reporting so you can pick the right tool for your team's workflow.

Getting Cited by AI Assistants

AI assistants don't show a ranked list — they make a recommendation. If your brand isn't cited, you're invisible at the moment of decision. Here's how to fix that.

Brand Absence Diagnostic

Use a practical diagnostic workflow to investigate why a brand is absent from relevant AI answers, then identify the evidence worth improving.

Agency AI Visibility Reporting

A step-by-step guide for digital agencies on building recurring AI visibility reporting for clients — what to track, how to price it, and where BotSee fits.

LLM Monitoring Tools

LLM monitoring tools can mean two different things. This guide focuses on the buyer-facing work of measuring brand visibility in AI-generated answers.

Tracking Citations with ChatGPT

A practical playbook for monitoring where and how ChatGPT references your brand, pages, and evidence across high-intent prompts.

Building a BotSee Query Library

Create a high-signal BotSee query library that gives cleaner trends, better segmentation, and more useful optimization insights.

Weekly Reporting Loop

Turn raw BotSee output into a short, decision-focused weekly report with clear movement, causes, and next actions.