MentionBird vs Moxie Docs: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of MentionBird and Moxie Docs — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
MentionBird
MentionBird
AI search visibility platform that shows which sources ChatGPT, Gemini, Perplexity and Claude cite for your prompts and how to get your brand named.
Key features
- AI Prompt Tracking: Monitor the exact prompts buyers ask AI, with daily runs across supported AI platforms.
- AI Citation Tracking: See which pages, reviews and YouTube videos AI cites for each prompt and whether your brand appears in them.
- AI Ranking Advice: Get a per-prompt plan of recommended actions rated by effort and impact to earn mentions.
- Competitor Tracking: Compare share of AI recommendations against each competitor, week over week.
- Multi-Platform Coverage: Covers ChatGPT, Gemini, Perplexity and Claude, with Grok, AI Overviews, Copilot and DeepSeek on the Custom plan.
- MCP and API Access: Connect Claude or ChatGPT directly to your visibility data and ask questions about it.
- Free AI Tools: No-login tools such as an AI Crawler Accessibility Checker and an AI Visibility Report.
Best for
- Generative Engine Optimization: Finding which sources AI relies on for category prompts and earning placements in them.
- Competitive Benchmarking: Seeing which rivals AI recommends instead of your brand and for which prompts.
- Agency Client Reporting: Reporting client AI visibility and the next fixes to make.
- Content Planning: Using ranking advice to decide which guides and product-page details to publish.
- Launch Monitoring: Tracking whether a new product starts getting named in AI answers over time.
Moxie Docs
jackalope.digital
Moxie Docs indexes your GitHub repos, generates convention-grounded docs, detects doc drift on every merge, and serves an MCP for coding agents.
Key features
- Merge-triggered Re-indexing: Every merge triggers a fresh index pass so documentation stays synchronized with the current state of the repo.
- Grounded Convention Docs: Generates architecture and convention documentation grounded in the actual source, with deep symbol and import-graph analysis for TypeScript, JavaScript, and Python.
- Documentation Drift Detection: Flags pages affected by code changes and regenerates stale documentation with cited diffs so reviewers see what changed and why.
- Friday Cleanup PRs: Pro and Team plans automatically open weekly docs-only pull requests so keeping docs current becomes a bounded review, not a rewrite project.
- MCP Context Server: Exposes an MCP server so Cursor, Claude Code, and Codex pull verified conventions from Moxie instead of re-crawling the repo each session.
- Free Browser-based Doc Utilities: README, AGENTS.md, ADR, .cursorrules, CLAUDE.md, .windsurfrules, Mermaid, SQL-to-ER, and llms.txt generators run in the browser with no account.
- Scoped GitHub App: Access is scoped to the repos you select, tokens are encrypted server-side, and code is used only to generate documentation and MCP context.
- Broad Language Support: Documentation and search work on any GitHub repo, with recognition for TypeScript, JavaScript, Python, Go, Rust, Ruby, Java, PHP, SQL, Svelte, Vue, Kotlin, Swift, Elixir, and Zig.
Best for
- Automating living docs: Point Moxie at a private repo so architecture and convention docs stay grounded in the current code without manual rewrites.
- Feeding Cursor and Claude Code: Connect the MCP server so coding agents pull verified conventions from Moxie instead of re-crawling the codebase.
- Onboarding new engineers: Give a new hire a searchable, always-fresh guide to the codebase with symbol and import-graph context.
- Catching doc drift on merge: Fail loudly when a merged PR leaves documentation stale, with cited diffs pointing to what needs to change.
- Weekly docs cleanup review: Merge the Friday Cleanup PR each week to keep documentation current as a bounded, review-only workflow.
- One-off doc generation: Use the free browser-based generators to draft an AGENTS.md, CLAUDE.md, or llms.txt without signing up.
- SQL data-model diagrams: Paste CREATE TABLE SQL to get a live Mermaid ER diagram and optional AI data-model docs.
- Cursor Rules authoring: Draft a structured .cursorrules file with live preview and shareable export.