How DishaIQ works

Business context comes first

Your customers, service area, goals, budget and commercial constraints form the starting point. Unknown information remains a question to resolve rather than being assumed.

Selected website evidence

When a website is supplied, DishaIQ attempts to read up to 20 public pages from that site. Text is limited to 8,000 characters per page. DishaIQ does not submit forms, render interactive content or perform an exhaustive website audit. The report records which pages were successfully read and used as evidence.

DishaIQ Intelligence Engine

DishaIQ combines your business inputs, available website evidence, structured decision rules, validation checks and third-party AI infrastructure to build recommendations. Current AI providers may include Google Gemini. DishaIQ applies its own evidence validation, business rules and recommendation controls around model-generated output.

Recommendations to validate

Recommendations are based on the information and evidence currently available to DishaIQ. Website statements are company claims and are not independently verified results. The current version does not yet research competitor performance, search demand or live advertising costs. Recommendations should therefore be treated as decision support, not guaranteed outcomes.

History and refresh

You can reopen a saved report or download its PDF without using another free analysis. If the same business inputs are submitted again, DishaIQ can reopen the previous analysis instead of generating a new one. An explicit refresh uses one free analysis and rechecks the available evidence before producing a fresh analysis.

Data and usage

Account reports store your business inputs, evidence, timestamps and analysis results. When generation is required, relevant business inputs and selected public website evidence may be processed using third-party AI infrastructure. Account and report storage currently uses Supabase. A failed analysis does not consume a completed free analysis.