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Free AI audit, no signup — drop in a brand + a prompt and get a live cross-engine result in ~30s (mentioned vs. URL-cited, competitors who got cited instead, the source list), with a shareable report. Email is optional, not a gate. Four engines, one comparable view — ChatGPT, Perplexity, Gemini, and Google AI Overviews on the same prompt set, with share-of-voice vs. competitors and a "most-cited sources" content-gap roadmap. AEBOT — an in-product AI analyst (78 tools) — chat that actually does the work: runs audits, queries your GA4 + Search Console, keyword research & rank tracking, technical/Core Web Vitals audits, and writes monthly reports. Now with specialist sub-agents (backlink + reputation) and persistent per-org memory. WordPress plugin — tracks ~30 AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended…), turns bot 404s into one-click 301s, serves llms.txt, emits linked JSON-LD schema, and pushes fixes back to Yoast/Rank Math. Keyword + AI-Overview rank tracking — including a one-time 12-month historical backfill so trend charts aren't empty on day one, plus search-volume trends. Backlink authority snapshots, CMS/tech detection, open-web brand mentions, and a Local SEO / NAP audit. MCP server — @auditae/mcp npx bridge to run AuditAE from Claude Code or any MCP client. Recent UX upgrades — redesigned AI-search playbook page, a live loading experience on the free audit (progress + per-engine status), and a full-screen chat assistant. Pricing — $0.05 per (prompt × engine) check, $5 free on signup, no seats, no per-domain fees. -

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Enable LLMs to search and analyze live social media through natural language.Open
Ido Avnir🙏 10 karmaJan 14, 2026@Xpoz MCPSimple idea, well executed. Makes social data usable inside LLM-based workflows instead of external dashboards -
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Verified tools
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Used it for PPT generation and performed extremely well, especially the numbers and data part.
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i really wanted something fast. works really good. Certainly doesn't justify the price tag
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AI-native OCR platform, 95%+ accuracy, zero prompt engineering, flags uncertain fields.OpenWe are a team of founders who worked before in data extraction, with traditional manual review of each document to check accuracy / errors. We are so excited about AI and the new LLM models because we have created DeepRead using those and the accuracy is 95% and we flag uncertain fields so no one has to manually review entire documents (whew), only the exceptions! We hope you try it out and please share your review, comments and feedback. Looking forward to hearing from users!
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MongoDB - Build AI That Scales🗄️ Database -
Similarity search works okay, but UX could be improved — it's hard to tell when a search was completed. Also there are some minor mistakes in BPM assignation. But overall works as expected and helps finding similar tracks.

