Property IQ.
By Rebecca Thorpe
Property IQ is an AI investment analysis platform built for the increasingly professional UK buy-to-let landlord market — combining three AI-powered modules into a single decision tool: (1) Investment Strategy Builder (a structured 9-dimension AI-guided questionnaire on experience, capital, scale ambition, objective, property model, condition tolerance, geography, time horizon, and risk appetite); (2) Listing Screenshot Analyzer (vision AI extracts property data directly from Rightmove/Zoopla screenshots — no API needed, no copy-paste); (3) Visual Condition Assessor (analyses listing photos to estimate component age, identify cosmetic vs structural concerns, and flag capital risk).
The UK private rented sector houses ~4.6 million households, and a structural shift is in motion: Section 24 mortgage interest relief restrictions, EPC upgrade requirements, and renters reform legislation are pushing casual landlords out and forcing the remaining market to operate professionally. Property IQ is built exactly for that shift — replacing the fragmented spreadsheet + broker calls + Rightmove tab + gut feel workflow with consolidated, data-driven property intelligence in a Lovable-built prototype deployed at property-iq-ai.lovable.app.
The AI persona is a knowledgeable, pragmatic property investment advisor — analytical, precise, accessible to non-experts, avoids jargon, never provides regulated financial advice. Currently powered by OpenAI and Gemini via their respective APIs, selected for multimodal capability (the screenshot and condition modules require vision) and Lovable platform integration.
Primarily B2B2C: the end-user is the individual landlord; the commercial relationship is with professional service providers (conveyancing solicitors, mortgage brokers, surveyors, lettings agents) and property consultancies who pay for qualified, engaged leads generated by the platform. Sarah, 38, full-time professional, 1–2 BTL properties, building a portfolio deliberately and methodically — financially literate but not a property expert, asking the right questions but not yet trusting her own answers.