linkeddit.com valid
Linkeddit
Linkeddit is an AI demand and competitor intelligence platform. It finds the buyers ready to switch to you, tracks what your competitors are doing and where their customers are unhappy, and shows you where AI answer engines recommend competitors instead of you, then turns all of that signal into pipeline and content, across review sites (G2, Capterra, TrustRadius, Trustpilot) and the open web.
- Authority
- 48 reach 0 · trust 8 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://linkeddit.com/llms.txt
- llms-full.txt
- https://linkeddit.com/llms-full.txt
- Sections
- 17
- Links
- 82
- Size
- 16984 bytes
- Registered
- 2025-02-05
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T10:00:44.182Z
- Last checked
- 2026-10-25T10:00:45.091Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T10:00:44.196Z. Cached copy · Source on linkeddit.com
# Linkeddit
> Linkeddit is an AI demand and competitor intelligence platform. It finds the buyers ready to switch to you, tracks what your competitors are doing and where their customers are unhappy, and shows you where AI answer engines recommend competitors instead of you, then turns all of that signal into pipeline and content, across review sites (G2, Capterra, TrustRadius, Trustpilot) and the open web.
Website: https://linkeddit.com
Last updated: 2026-10-24
In one line: Linkeddit shows a SaaS team why buyers choose its competitors, and what to do about it. It watches what competitors ship and where their customers complain, measures when ChatGPT, Gemini, Perplexity, Claude or Google AI Overviews recommend a competitor instead of you, and turns that evidence into fixes and pipeline. Everything runs in the web app or inside the customer's own AI assistant over one MCP connector.
For the full product documentation, see: https://linkeddit.com/llms-full.txt
## The Two Products
1. **Compete (competitor intelligence):** a weekly, graded brief on up to 12 competitors. It reads each competitor's blog and changelog, monitored pages (pricing, landing pages), review sites (G2, Capterra, TrustRadius, Trustpilot), public discussion and market signals, then reports their moves (launches, pricing, partnerships, funding, messaging, hiring) and their customers' pain points. Every signal is graded high priority, worth watching or low signal, dated, cited to its source and tied back to your own product. The complaints and switching signals show which buyers are ready to leave a competitor. https://linkeddit.com/competitor-intelligence
2. **Answer Radar (AI answer engine visibility):** measures whether ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews recommend you or a competitor on the buying questions your market asks. It records every source each answer cited, ranks the misses as recommendation gaps, queues an action for each, and re-measures after you change something so you can see whether it moved. Buying questions are seeded from your own Google Search Console demand when connected. https://linkeddit.com/answer-engine-optimization
**How you use it:** in the web app, or from Claude, Claude Code, ChatGPT, Cursor, VS Code or Windsurf by adding one URL, https://mcp.linkeddit.com/mcp. The connector carries 47 tools, runs against the customer's own account, and returns measured evidence rather than generated prose: your assistant does the writing, Linkeddit supplies the data it cannot get on its own. https://linkeddit.com/mcp
## Who Linkeddit Is For
SaaS founders, product marketers and growth teams with a shipped product, named competitors and a sales or content motion. The recurring job is deciding which competitor moves, customer complaints and AI recommendation gaps deserve action this week. Agencies and consultants use the same workflows for clients, and can share an Answer Radar result with a client through a link that needs no account
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Machine-readable: GET /v1/resolve?q=linkeddit.com · GET /v1/domain/linkeddit.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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