fedt.ai

What is fedt.ai?

Fedt AI is an AI-powered optimization tool that helps website owners, marketers, and developers understand how their content performs inside AI-driven search systems like ChatGPT and other LLMs. Instead of focusing only on traditional SEO, it analyzes how AI interprets your site—what it understands, overlooks, or misrepresents—and then provides a clear, prioritized fix plan to improve visibility and accuracy. It also includes ready-to-use prompts and developer-friendly outputs to speed up implementation. Designed for the shift toward AI-first discovery, Fedt AI helps businesses ensure they are properly represented and recommended across modern AI search experiences.

Developed in 2026 by Human Not Machine (an AI-first product studio based in Copenhagen), fedt.ai checks how easily autonomous AI agents can read, understand, and trigger actions on your website. By auditing critical agent infrastructure—including llms.txt files, documentation structure, action surfaces, MCP endpoints, and crawler bot permissions—fedt.ai generates an agent-readiness score alongside a concrete implementation plan, offering a free preview scan and a comprehensive Deep Scan Fix Pack for a $19 one-time fee.

• Studio / Parent Company: Human Not Machine (Copenhagen, Denmark)
• Launch Year: 2026
• Core Focus: AI Agent Readiness Auditing, llms.txt Generation & Agentic Optimization

Use Cases:

• Auditing public landing pages and documentation to verify whether autonomous AI agents can parse core value propositions without hallucination
• Generating properly formatted llms.txt and llms-full.txt files optimized for frontier model context windows
• Inspecting bot blocking rules and robots.txt configurations to ensure beneficial AI search and research crawlers are not inadvertently rejected
• Providing AI coding assistants (Cursor, Replit, Lovable, Claude) with structured copy-paste prompts to fix missing machine-readable metadata
• Generating a standardized fedt.md handoff file detailing detected technical gaps, API schemas, and priority implementation orders

Technology:

• Multi-signal agent readiness scanner evaluating sitemaps, Open Graph data, API schema discovery, robots directives, and Model Context Protocol (MCP) servers
• Automated prompt engineering synthesizer generating tailored copy-paste instructions for AI IDEs and no-code builders
• Fast crawler infrastructure delivering structured report findings and markdown handoff artifacts in 60 to 90 seconds

Target Users:

• Indie founders and "vibe coders" building software with Cursor, Lovable, and Replit who want their apps recognized by AI agents
• Developer Relations (DevRel) and documentation leads preparing API docs for LLM retrieval and MCP consumption
• SEO and Answer Engine Optimization (AEO) strategists optimizing web properties for AI search engines
• Product marketing managers looking to verify how AI models summarize and represent their products

Acquisition: Operates as an independent product developed and stewarded by Human Not Machine studio

Key features of fedt.ai

fedt.ai's key features are

• Instant Agent-Readiness Score: Evaluates website URLs to generate a 0–100 composite score based on discovery, structure, metadata, and action surface signals.
• llms.txt & Schema Verification: Scans for valid /llms.txt files and structured schema markup, identifying where models lose semantic context.
• Model Context Protocol (MCP) Detection: Checks whether your site or product exposes active MCP server endpoints or clear documentation for autonomous tool calling.
• Crawler & Bot Permission Audit: Analyzes robots.txt and server headers to flag misconfigured bot-blocking rules that prevent AI search engines from indexing your pages.
• The $19 Fix Pack: Unlocks a deep scan report prioritizing issues into "Today," "This Week," and "Later" action categories.
• Copy-Paste Prompts for AI Builders: Generates ready-to-use prompts crafted specifically for Cursor, Replit, Claude, Codex, and Lovable to implement missing files without manual coding.
• fedt.md Handoff File: Automatically generates a standardized markdown file containing your site's detected issues, fixes, and recommended context structure for developer handoffs.
• Fast 60-to-90 Second Turnaround: Deep scan results and downloadable fix artifacts are compiled and delivered directly in-app and via email within 90 seconds.

fedt.ai Pricing

fedt.ai avoids recurring SaaS subscriptions, providing a free surface scan alongside an affordable one-time purchase model for full implementation reports.

Free Preview Scan:

• $0 / Free: Run surface readiness checks on any public URL
• Includes high-level agent readiness score, surface signal detection (llms.txt, MCP presence), and top blocker summaries

Full Fix Pack (Deep Scan):

• $19.00 One-Time Payment: Complete deep scan across site docs, metadata, actions, and agent context
• Prioritized fix plan (Today, This Week, Later)
• Copy-paste prompts formatted for Cursor, Replit, Claude, Codex, and Lovable
• Downloadable fedt.md handoff file and rescan validation checklist

Disclaimer: For current enterprise site-wide audits, batch scanning options, and studio consulting inquiries, please consult the official portal at fedt.ai.

Who is using fedt.ai?

fedt.ai is used by developers, founders, and optimization specialists, including

• Indie Hackers & SaaS Builders: Ensuring their new products can be ingested and cited accurately by AI recommendation engines
• Cursor & AI IDE Developers: Utilizing generated prompts to scaffold llms.txt files and OpenAPI schemas in minutes
• Technical SEO Consultants: Adding agent readiness and Answer Engine Optimization (AEO) audits to client service offerings
• Developer Advocacy Teams: Verifying that developer documentation and public endpoints are accessible to autonomous coding agents

Best fedt.ai Alternatives

Some of the strongest fedt.ai alternatives include

• GeoRankers (georankers.ai - AI Search & GEO Tracking)
• Profound (Enterprise AI Visibility)
• llmstxt.org Tools & Validators
• Evertune
• AthenaHQ
• Google Search Console (Traditional Indexing)

Pros and Cons of fedt.ai

Pros

• Directly tackles the emerging standard of agentic web compatibility (llms.txt, MCP, and action surfaces)
• No subscription lock-in: transparent $19 one-time pricing for complete deep scan reports and fix packs
• Generates copy-paste prompts designed for modern AI coding tools like Cursor, Replit, and Lovable
• Delivers a standardized fedt.md handoff file that simplifies team and agent task execution
• Fast turnaround delivers actionable recommendations in under two minutes

Cons

• Focuses on website readiness and context infrastructure rather than real-time tracking of brand mentions inside ChatGPT or Perplexity
• Free preview shows surface indicators only, reserving the detailed remediation prompts for the paid Fix Pack
• Best suited for web properties with public-facing documentation and landing pages rather than authenticated intranets

Why Choose fedt.ai?

Traditional SEO tools only analyze how human-facing search engines crawl HTML tags. As autonomous AI agents become primary discovery and execution layers, fedt.ai ensures your site is machine-readable.

• Ensures AI agents summarize and recommend your product accurately instead of hallucinating details
• Provides practical code fixes rather than vague diagnostic warnings
• Lets you implement standard agent specifications (like llms.txt) in an afternoon using generated prompts
• Offers an affordable one-time audit without committing to another recurring software subscription

fedt.ai vs. Competitors

The main difference between fedt.ai, GeoRankers, and Profound lies in technical readiness auditing versus answer-share tracking. While GeoRankers and Profound track whether your brand appears in LLM responses across ChatGPT and Perplexity, fedt.ai focuses on on-site technical architecture—verifying whether your website provides the llms.txt files, MCP endpoints, and schema structures necessary for agents to read and act on your product.

How do we rate fedt.ai?

fedt.ai Review

fedt.ai fills a critical void at the intersection of modern web development and autonomous AI. While developers understand that LLMs are increasingly navigating the web on behalf of users, few tools offer practical guidance on how to make a site truly machine-readable. By providing an instant readiness score, testing llms.txt and MCP configurations, and bundling copy-paste prompts that plug straight into Cursor or Claude, fedt.ai makes a once-obscure optimization hurdle an actionable 15-minute task.

Conclusion

Fedt AI is a highly focused tool built for a new reality—where websites are no longer just optimized for Google but for AI agents and answer engines. Instead of traditional SEO audits, it scans your site, documentation, and metadata to evaluate how well AI systems understand and represent your product, then delivers a prioritized fix plan to improve that “AI readiness.” Its biggest strength lies in actionable output, including a structured “fix pack,” copy-paste prompts for tools like Claude or Codex, and a fedt.md file that developers can directly implement. While it’s a one-time scan rather than a continuous monitoring system and may require technical effort to apply fixes, the value is clear.