AI Prospect Research & Intelligence
Operational Beta Prototype

ProspectAI.

An AI-assisted prospect research and business intelligence platform designed to inspect company websites, analyze technical infrastructure, evaluate digital presence opportunities, and generate structured qualification dossiers.

prospectai.local
PROTOTYPE
ProspectAI AI prospect research and intelligence interface
Qualification Model
Multi-Factor 0–100
Intelligence Engine
Google Gemini Pro
Discovery Provider
Google Places API
Resource Safety
Enforced Quotas

Disclosure:ProspectAI is an internal research and intelligence prototype engineered by IDEA & WORKS. Positioned strictly as an AI prospect research and business intelligence tool—not as a scraping or bulk lead-generation software. Displayed metrics, scoring thresholds, and technical analyses reflect genuine platform capabilities and architectural evaluations.

01

Overview

Understand the Prospect Before You Reach Out.

ProspectAI is an AI-assisted prospect research and business intelligence platform designed to replace tedious manual website analysis with automated technical inspection and evidence-based opportunity reasoning. By evaluating target digital presence signals, detected framework footprints, and commercial readiness indicators, ProspectAI helps consultants and agency teams understand target organizations before initiating outreach.

02

The Challenge

Manual prospect qualification requires substantial engineering and research effort: inspecting HTML source tags, auditing CMS setups, verifying tracking infrastructure, and synthesizing scattered observations into actionable service angles. Sales reps and consultants spend hours per prospect on manual discovery, often arriving at unqualified conversations with guesswork rather than verifiable technical evidence.

Problem scope & constraints verified
03

Our Approach

IDEA & WORKS engineered a multi-stage research workflow: an outbound inspection worker crawls target websites to detect active frameworks, CMS platforms, analytics tags, and performance signals. A multi-dimensional qualification algorithm computes a standardized 0–100 fit score, while Google Gemini Pro synthesizes findings into concrete service recommendations (e.g., website modernization, performance optimization, headless migration), consolidated into structured intelligence dossiers with server-side quota governance.

Engineering solution & architecture blueprint
04

Key Features

Purpose-built capabilities engineered for scale.

01Automated website technical inspection & real-time tech-stack detection
02Multi-dimensional prospect qualification scoring on a 0–100 scale
03Evidence-based AI opportunity reasoning & recommended service offerings
04Structured prospect intelligence dossiers and manual research notes
05Server-enforced operational quotas and request cooldown guardrails
06Commercial business discovery via Google Places API integration
05

Selected Product Screens

Authentic prospect research and technical intelligence interface.

Real product captures from the running ProspectAI application, demonstrating core intelligence workflows across automated website technical inspection, multi-dimensional qualification scoring, commercial business discovery, and quota governance.

01

Prospects Intelligence & Multi-Factor Qualification Workspace

Route: /prospects
ProspectAI prospects qualification workspace and technology stack table

The primary research table consolidates inspected companies with their multi-factor qualification fit scores (0–100 scale), priority tiers, detected technology stacks, and evidence-based service opportunities.

Operators can filter prospects by status, inspect detected frameworks and analytics tooling, review automated reasoning generated by Google Gemini Pro, and export structured dossiers for strategic follow-up.

Capabilities Demonstrated
— Automated website technical inspection & stack detection
— Multi-dimensional 0–100 prospect fit scoring
— Evidence-based AI opportunity reasoning & service recommendations
02

Commercial Business Discovery Engine

Route: /find-prospects
ProspectAI commercial business discovery interface with Google Places integration

The commercial discovery interface integrates directly with the Google Places API (New) to locate real-world business establishments by industry keywords, category filters, and geographic location.

Discovered entities include verified Google place IDs, official websites, and geographical coordinates, which can be staged into the inspection pipeline with one click and deduplicated against existing records.

Capabilities Demonstrated
— Google Places API commercial entity resolution
— One-click pipeline staging with verified domain URLs
— Automatic deduplication and workspace list hygiene
03

Workspace Intelligence & Operational Quota Telemetry

Route: /dashboard
ProspectAI intelligence overview and operational quota management dashboard

The intelligence dashboard provides high-level visibility into workspace activity, tracking active prospect counts, qualification score distributions, recent research telemetry, and server-enforced quotas.

Server-side quota counters and cooldown timers prevent outbound API rate exhaustion and excessive LLM token burn, ensuring sustainable and responsible research throughput across all active team members.

Capabilities Demonstrated
— Server-enforced operational quotas & request cooldowns
— Historical research telemetry & persistent audit logs
— Authenticated multi-tenant workspace isolation via Supabase
Interactive Suite Explorer
ProspectAI Intelligence Suite
Route: /prospects

Multi-Factor Qualification & Tech Stack Workspace

0–100 Fit Scoring • Evidence-Based Reasoning
ProspectAI prospects qualification workspace and technology stack table
Technical Inspection
Automatic Tech-Stack Detection

Outbound crawler inspects client DOMs, HTTP headers, and scripts to detect frameworks, CMSs, tracking pixels, and cloud services.

Qualification Engine
0–100 Multi-Dimensional Fit Score

Aggregates technical maturity, digital gaps, and commercial readiness into a prioritized score with High/Medium/Low indicators.

Reasoning Engine
Evidence-Based Opportunities

Gemini Pro evaluates technical findings to propose concrete services: Website Modernization, SEO Architecture, or SaaS Integrations.

06

Technology Stack

Demo / Prototype Architecture

Engineered with Next.js 16 App Router, React 19, TypeScript, Tailwind CSS v4, Google Gen AI SDK (Gemini Pro), Google Places API (New), and Supabase SSR for authenticated workspace isolation.

Next.js 16React 19TypeScript 5Tailwind CSS v4Google Gen AI SDKGoogle Places APISupabase SSRLucide Icons
07

Final Experience

Engineered for enduring utility and craft.

ProspectAI transforms cold prospect research into high-conviction, evidence-backed strategic conversations. Teams gain immediate technical clarity on target websites, ensuring every outbound engagement addresses verified gaps with tailored solutions.

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