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fedt.ai Review

fedt.ai assesses how ready websites are for AI agents, providing a free preview scan and a paid Deep Scan and Fix Pack for detailed implementation plans.

shipped Sep 2, 2026paid
Monthly visits1/mo
fedt.ai — product screenshot

Why it matters

1Launched in 2026 by Human Not Machine, an AI-first product studio based in Copenhagen.
2Offers a 'Deep Scan Fix Pack' for a one-time payment of $19.00.
3Generates a composite AI agent readiness score (0-100) based on discovery, structure, metadata, and action surface signals.
4Provides copy-paste prompts for AI development tools including Cursor, Replit, Claude, Codex, and Lovable.

About fedt.ai

Business Model
Per-Job Pricing
Usage Pricing
$19 per scan
Target Audience
Website owners and builders looking to optimize for AI agents.

Pricing Plans

Deep Scan and Fix Pack
$19 / one-time
  • • Full fix pack with prioritized fix plan
  • • Deep scan across your site, docs, metadata
  • • Copy-paste prompts for various tools
  • • fedt.md handoff file generation

Cost Examples

  • • Run a deeper scan + generate fix pack: $19

overview

What is fedt.ai?

fedt.ai is an AI agent readiness tool developed by Human Not Machine that enables website owners and builders to assess how well AI systems, such as large language models (LLMs) and AI-driven search, can understand and interact with their online content. It provides a composite score (0-100) and a prioritized fix plan to optimize websites for AI-first discovery experiences. The tool was launched in 2026 by Human Not Machine, an AI-first product studio based in Copenhagen, focusing on auditing critical agent infrastructure to improve visibility and accuracy in AI-first discovery experiences. Its core functionality involves scanning websites, documentation, and metadata to identify issues that could hinder AI agent interpretation, offering solutions to ensure accurate parsing of core value propositions without 'hallucination.'

features

Key Features of fedt.ai

fedt.ai provides a suite of features designed to evaluate and enhance a website's readiness for AI agents, offering both a preliminary assessment and a detailed action plan.

  • Free preview scan for an initial agent-readiness score.
  • Deep scan functionality across site documents, metadata, actions, and agent-readable context.
  • Fix Pack with detailed implementation steps and a prioritized action plan.
  • Scanning of websites, documentation, and metadata for AI agent readiness.
  • Generation of prioritized fix plans for AI agent discoverability issues, categorized into 'Today,' 'This Week,' and 'Later.'
  • Provision of copy-paste prompts for various AI development tools, including Cursor, Replit, Claude, Codex, and Lovable.
  • Creation of a fedt.md handoff file containing identified issues, recommended fixes, and suggested site context.
  • Capability to help users understand what AI agents can read, miss, misunderstand, or fail to act on.

use cases

Who Should Use fedt.ai?

fedt.ai is primarily designed for professionals and organizations focused on optimizing their online presence for AI agent interaction and discoverability. Its functionalities cater to specific technical and strategic needs.

  • Developers: To audit public landing pages and documentation, ensuring autonomous AI agents can accurately parse core value propositions without 'hallucination,' and to generate optimized llms.txt and llms-full.txt files for frontier model context windows.
  • AI Builders: For inspecting bot blocking rules and robots.txt to ensure proper crawler bot permissions, and to understand how AI agents interpret their online content.
  • Marketing/SEO Professionals: To improve visibility and accuracy in AI-driven search and assistants by optimizing how AI interprets a site, what it understands, overlooks, or misrepresents, thereby enhancing AI agent discoverability.

how to use

How to Use fedt.ai

To begin using fedt.ai, users can initiate a free preview scan of their website to receive an initial agent-readiness score. For a comprehensive analysis and actionable plan, the Deep Scan Fix Pack can be purchased.

  • 1Navigate to the fedt.ai website (https://fedt.ai/).
  • 2Enter the URL of the website to be scanned into the provided input field.
  • 3Initiate a free preview scan to receive an instant agent-readiness score (0-100).
  • 4Review the initial findings from the preview scan.
  • 5Purchase the 'Deep Scan Fix Pack' for $19.00 to unlock a complete deep scan and a prioritized fix plan.
  • 6Access the detailed fedt.md handoff file and copy-paste prompts for implementation.

pricing

fedt.ai Pricing & Plans

fedt.ai operates on a per-job business model, offering a single paid tier for comprehensive analysis and remediation. A free preview scan is available for initial assessment.

  • Deep Scan and Fix Pack: $19.00 (one-time payment for a complete deep scan, prioritized fix plan, copy-paste prompts, and a fedt.md handoff file).

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Pros

  • +Provides a comprehensive AI agent readiness score (0-100) based on multiple factors.
  • +Generates a prioritized fix plan categorized for immediate, short-term, and long-term implementation.
  • +Offers copy-paste prompts compatible with various AI development tools (Cursor, Replit, Claude, Codex, Lovable).
  • +Creates a fedt.md handoff file for clear communication of issues and fixes.
  • +One-time payment of $19.00 for the Deep Scan Fix Pack offers a clear cost structure.
  • +Focuses on auditing critical agent infrastructure, including llms.txt files and Model Context Protocol (MCP) servers.

Cons

  • −Detailed fix plans and full reports are behind a $19 paywall, limiting the utility of the free preview.
  • −User testimonials provided are from the tool's builder, which may raise questions about impartiality given recent FTC regulations on AI-generated reviews.
  • −Does not offer continuous monitoring or competitive intelligence on how AI engines cite competitors, unlike some alternatives.
  • −The tool's effectiveness relies on the user's ability to implement the provided fix plans and prompts.
  • −Specific details on the depth of the 'deep scan' beyond mentioned categories are not extensively detailed.

Similar Tools

fedt.ai vs Competitors

fedt.ai positions itself as an AI agent readiness tool focused on auditing on-site machine-readability, including `llms.txt` files, bot permissions, schema data, and Model Context Protocol (MCP) servers. Its niche is in providing a foundational 'readiness' assessment and a fix plan, differentiating it from tools primarily focused on monitoring AI engine behavior or competitive citation tracking.

1
Glippy AI Readiness Checker↗

Analyzes over 240 factors across 16 Generative Engine Optimization (GEO) categories directly in the browser, without sending data to external servers.

Unlike fedt.ai's server-side deep scan, Glippy performs local analysis via a browser extension, which might offer less depth but prioritizes user data privacy.

2
Pixelmojo AI Readiness Checker↗

Provides a unified AI readiness score (0-100) and a prioritized action roadmap across bot access, structured data, llms.txt, and content quality.

Offers a single, comprehensive score and actionable roadmap, whereas fedt.ai provides a free preview scan and a paid 'Fix Pack' for detailed plans.

3
LLMClicks.ai Free AI Website Readiness Checker↗

Focuses on a technical audit to verify if website architecture is readable by Large Language Models (LLMs), checking agent crawlability, entity density, and semantic payload.

This tool emphasizes the technical readability for LLMs, providing a quick, free audit, which is more focused than fedt.ai's broader assessment and paid detailed plan.

4
Schema Markup Validator↗

The official tool for validating Schema.org structured data, ensuring it conforms to the standard that AI agents use to understand content.

This is a foundational validation tool for structured data, which is a critical component of AI readiness, rather than a holistic AI readiness score like fedt.ai. It requires manual interpretation of results for AI agent-specific implications.

5
Structured data validator for AI agents↗

Specifically checks structured data for 'coherence signals' that autonomous AI agents use for extraction and citation, going beyond standard schema validation.

While fedt.ai offers a broad AI readiness assessment, this tool provides a specialized, deeper dive into structured data quality specifically from an AI agent's perspective, focusing on trustworthiness and extractability.

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