Dedica: Can Your Website Pass AI Agents' 125 Tests?

As AI Agents begin to browse, compare prices, and even complete registrations on behalf of humans, the definition of a website's "visitor" is being rewritten. Dedica, a new tool ranked third on Product Hunt, tries to answer a question most teams have overlooked: can AI actually use your website?

In the Age of AI Visitors, Website Usability Gains a New Layer

AI Agents like Muse, Instinct, and GrokBot are already browsing web pages, comparing products, and filling out forms for users. They don't tolerate ambiguous navigation structures the way humans do, nor will they patiently retry because of a complex CAPTCHA. According to Dedica's product description, these Agents "are browsing, comparing, and signing up on people's behalf," while most websites' interaction design still targets only human visitors.

Dedica's approach is to test websites by simulating how AI Agents use them, then provide a fix for each failure. The clever part of this idea is that it doesn't require teams to re-learn the technical details of AI — instead, it turns problems into a task list that can be handed off to a coding Agent.

AI Agent (autonomous agent) refers to a software system capable of perceiving its environment, making autonomous decisions, and executing a series of operations to accomplish a goal. Unlike traditional search engine crawlers that only read page content, AI Agents simulate human behavior to click, scroll, fill out forms, and navigate across pages, completing tasks like price comparison, registration, and ordering on behalf of users. Common forms include browser automation agents (such as LLM-based Web Agents) and vertical task-specific agents (such as shopping comparison and trip booking). They are highly sensitive to the semantic clarity of web page structure, accessibility labels (ARIA), form field naming, and anti-automation mechanisms (such as CAPTCHAs and dynamic rendering). Therefore, Agent-oriented usability testing needs to cover dimensions like interaction paths, state persistence, and error recovery — not just content crawlability.

125 Checks and "a Fix for Every Problem"

Dedica offers 125 free checks covering the obstacles AI Agents may encounter when actually using a website. The product positioning is straightforward: run the tests, see whether AI can use your site, then hand each problem's fix recommendation directly to a coding agent to implement.

This "detect—diagnose—fix" loop is more practical than simply giving a usability score. For developers, knowing "what's broken" is often more valuable than knowing "something's broken." By designing its output as actionable fixes, Dedica essentially turns an audit report into a work ticket.

A Cross-Positioning from Website Building to Developer Tools

On Product Hunt, Dedica is categorized under both Website Builder and Developer Tools, earning 127 votes and 48 comments and ranking third for the day. This cross-positioning reflects its dual audience: on one side, site operators concerned about whether their sites can be correctly accessed by AI; on the other, developers who actually roll up their sleeves and change the code.

You may not have noticed that AI Agent friendliness is becoming a new dimension of website quality. Traditional SEO focuses on whether search engine crawlers can capture content, while Agent usability focuses on whether autonomous agents can complete operations — the former is about reading, the latter about acting, and the difficulty and impact differ. Dedica is hitting exactly this early window of transition.

Traditional SEO (search engine optimization) mainly focuses on whether search engine crawlers can crawl, index, and understand page content. Optimization methods include keyword placement, site structure, meta tags, loading speed, and backlink building, with the core goal of improving ranking and visibility in search results. The object of SEO evaluation is "reading" behavior: crawlers fetch HTML and parse text and links without executing complex user operations. Agent usability, by contrast, focuses on whether autonomous agents can "act" on a site: completing multi-step interactions, understanding button intent, handling form validation, bypassing or passing human verification, and recovering from exceptions. The two have different tech stacks and failure modes — SEO failure manifests as content not being indexed, while Agent usability failure manifests as task interruption or misoperation. As AI Agent traffic grows in share, sites need to satisfy both "readable" and "operable" requirements, which constitutes a new dimension of website quality assessment.

Early Signals and Open Questions

As a new product on Product Hunt, Dedica's public information currently centers on its testing capabilities and fix recommendations. Verifiable details are still lacking regarding the specific categories of the checks, the accuracy of the fix recommendations, and behavioral differences among different Agents. Exactly which layers the 125 checks cover, and how granular the fix recommendations can get in real projects — these can only be judged after actual use.

For sites whose visitor structure is being reshaped by AI Agent traffic, conducting an Agent usability audit in advance is a reasonable investment. Dedica's free checks lower the barrier to trying it, but whether the tool can become part of a team's workflow depends on whether its fix recommendations are specific enough and can truly be consumed directly by a coding agent.

One-line Summary

Dedica uses 125 checks to test a website's usability for AI Agents and generates actionable fixes for each problem.

Paragraph Summary

Dedica is a new tool ranked third on Product Hunt, aiming to answer the question "can AI use your website?" As AI Agents like Muse, Instinct, and GrokBot begin browsing, comparing prices, and registering on behalf of users, website interaction design faces a new challenge: Agents don't tolerate ambiguous navigation or complex CAPTCHAs the way humans do. Dedica runs 125 free checks on websites by simulating how AI Agents use them and provides fixes for each failure that can be handed to a coding Agent to execute, forming a "detect—diagnose—fix" loop. The product spans both the Website Builder and Developer Tools categories, earning 127 votes and 48 comments. The article notes that AI Agent usability is becoming a new dimension of website quality distinct from traditional SEO — the former focuses on reading, the latter on acting. However, the specific categories of the checks, fix accuracy, and behavioral differences among different Agents remain to be verified through actual use.