AI Website Assessment Platform
An AI powered platform that analyzes websites, qualifies projects, and generates structured recommendations to automate the early stages of client work.
Overview
The AI Website Assessment Platform automates the slow, manual first phase of client engagements: looking at a website, understanding its current state, and deciding whether and how to move forward. Instead of an engineer manually auditing each site, the platform ingests a URL and produces a structured, explainable assessment.
What it does
AI powered website analysis
The platform crawls and analyzes a target website across multiple dimensions: structure, content, technology signals, performance indicators, and obvious issues. Large language models turn raw signals into a human readable summary that a non technical stakeholder can actually use.
Project qualification
Not every site is a good fit for every type of work. The system scores incoming sites against qualification criteria, flagging which projects are worth pursuing and why. This turns a subjective gut check into a consistent, repeatable decision.
Recommendations
For qualified sites, the platform generates concrete recommendations: what to improve, in what order, and the rationale behind each suggestion. Recommendations are grounded in the analysis rather than generic best practice boilerplate.
Workflow automation
The assessment doesn’t end as a report. Results feed into downstream workflows: creating tasks, routing qualified leads, and kicking off the next steps automatically. The goal is to compress hours of manual triage into minutes.
Engineering notes
The hard part of a system like this isn’t calling a model, it’s making the output trustworthy and structured. I focused on deterministic schemas for model output, grounding analysis in real fetched data, and keeping a clear separation between signals collected and conclusions drawn so results stay auditable.