diff --git a/tool-submitters.json b/tool-submitters.json
index 92aaf5a..726babb 100644
--- a/tool-submitters.json
+++ b/tool-submitters.json
@@ -12,6 +12,7 @@
   "alook": "LindsayLiu777",
   "arrow-js": "bradvin",
   "artifact-council": "aniripsaretro-max",
+  "botsee": "sidekickjanet",
   "browser-use": "bradvin",
   "browserbase": "bradvin",
   "browsertrace": "aaronlab",
diff --git a/tools/botsee.md b/tools/botsee.md
new file mode 100644
index 0000000..db9acdb
--- /dev/null
+++ b/tools/botsee.md
@@ -0,0 +1,55 @@
+---
+slug: "botsee"
+name: "BotSee"
+description: "Agent-native API and CLI for repeatable AI-search visibility analysis"
+seoTitle: "BotSee: AI Visibility Measurement for Agent Workflows"
+seoDescription: "BotSee lets agent workflows run structured AI-search visibility analyses and retrieve competitors, keywords, cited sources, and raw responses for review."
+agentSummary: "BotSee provides a Claude Code plugin and a direct Python CLI for Codex and comparable agents. An agent can define a site, customer types, personas, and questions; run an analysis; and retrieve structured competitor, keyword, source, and raw-response data for review."
+category: "marketing-seo"
+reviewedBy: "foo-bender"
+reviewedAt: "2026-10-08"
+tags:
+  - "ai-visibility"
+  - "marketing"
+  - "seo"
+  - "research"
+  - "cli"
+websiteUrl: "https://botsee.io"
+pricing: "paid"
+classification: "agent-native"
+entityType: "web-api"
+developerName: "BotSee"
+docsUrl: "https://botsee.io/docs"
+interfaces:
+  - "REST API"
+  - "Claude Code plugin"
+  - "Python CLI"
+deploymentModes:
+  - "hosted"
+evidenceSources:
+  - title: "BotSee API documentation"
+    url: "https://botsee.io/docs"
+    claim: "BotSee documents a Claude Code plugin, a direct Python CLI for Codex and other agents, and commands to configure a site, run analyses, and retrieve structured results."
+    accessedAt: "2026-10-02"
+    sourceType: "official-documentation"
+  - title: "BotSee Claude Code plugin README"
+    url: "https://github.com/RivalSee/botsee-skill"
+    claim: "This public repository implements the CLI/plugin client and documents structured competitors, keywords, sources, and raw responses. Its MIT license covers the client, not the private hosted analysis backend."
+    accessedAt: "2026-10-02"
+    sourceType: "official-repository"
+verificationLevel: "documentation-reviewed"
+classificationRationaleMd: "Agents are first-class participants in the documented plugin and CLI workflow: they configure a buyer-question benchmark, trigger an analysis, and retrieve the resulting records programmatically."
+inclusionRationaleMd: "The product provides a substantive, documented measurement workflow for agent-led marketing and AI-search research rather than a generic API wrapper."
+bestForMd: "Technical marketers and agent builders who need a repeatable, reviewable AI-search visibility benchmark instead of manual prompting and spreadsheet collection."
+notBestForMd: "Teams seeking a conventional SEO suite, a passive real-time monitoring feed, or an autonomous publishing system."
+limitationsMd: "Analyses consume credits and results reflect the configured questions, personas, and providers; review returned evidence before making marketing decisions. The privacy policy states that brand information, questions, and descriptions are shared with third-party AI services. Free results are public; paid results default to public unless made private through account settings. Account data is retained indefinitely while active; analytics data is retained indefinitely but may be replaced when analyses are regenerated. Deletion requests are handled within 30 days. The policy promises encryption in transit, not end-to-end encryption or a verified encryption-at-rest guarantee. See https://botsee.io/privacy."
+unknownsMd: "No independent benchmark of accuracy, coverage, or cross-provider repeatability was reviewed for this listing."
+---
+
+BotSee is a hosted AI-visibility measurement tool with a Claude Code plugin and direct Python CLI for coding-agent workflows. It uses a repeatable site, customer-type, persona, and question structure, then returns structured data about competitors, keywords, cited sources, and AI responses.
+
+## So agents can...
+
+- build a defined buyer-question benchmark before running AI-search research
+- run an analysis through the documented plugin or CLI and retrieve structured records
+- inspect competitor mentions, keyword signals, cited sources, and raw responses before recommending a content or distribution action