Modelled playbooks
Setup, verification, review velocity, weekly posts, directory citations. Here is that loop applied to three kinds of business, step by step, with the arithmetic laid out so you can argue with it.
These are worked examples, not customer results. ViziGrow opened to signups in August 2026, so no business has run this loop with us for six months yet. Every outcome number is modelled from the inputs shown beside it. Real customer results go up here as they land, with the owner's name and their permission on them.
Modelled: 22 → 80 reviews in 6 months
Patients research for hours before they call, which makes review depth and neighbourhood specificity the levers. A worked example of the playbook for credential-driven categories, modelled rather than measured.
Modelled: 7 → 65 reviews in 5 months
Dozens of salons inside two kilometres and incumbents with years of reviews behind them. A worked example of what the playbook can and cannot do in a dense metro category, with the arithmetic shown.
Modelled: 3 → 40 reviews in 4 months
A worked example, not a customer result: the order of operations ViziGrow runs on a small-town chemist with three reviews and the wrong primary category, and what four months of that cadence adds up to on paper.
Explore and compare
Explore ViziGrow as a Limbu AI alternative for Google-profile management, routine customer enquiries and lead organisation.
Manage your Google Business Profile, review replies and local visibility with ViziGrow, then organise customer enquiries and follow-up in one place.
Answer routine service enquiries in Hindi and English, capture leads and organise follow-up with ViziGrow's WhatsApp and website assistant.
Help customers find your salon or spa on Google, answer routine questions on WhatsApp and keep customer follow-ups organised with ViziGrow.
Manage your clinic's Google visibility, answer routine administrative WhatsApp enquiries and organise follow-up with ViziGrow.
