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How To Make Money With Google Maps & ChatGPT (Live Demo)

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Key takeaways

Business

Summary

Vaibhav Kadnar presents a service business model centered on improving local businesses’ Google Business Profiles. The work is positioned as a low-cost way to start offering local SEO services: find businesses with weak listings, identify specific gaps, explain the potential value, and sell an optimization service.

Business model and delivery

  • Target local, brick-and-mortar businesses such as gyms, salons, electricians, car washes, cafés, and coaching centers.
  • Audit their profiles for completeness, presentation, and local-search visibility.
  • Offer a one-time optimization package that may include:
    • Auditing the profile.
    • Correcting or adding business information, hours, and descriptions.
    • Improving photos and the overall presentation.
    • Identifying other profile improvements.
  • Do not sell or post fake reviews. In the live call, Vaibhav says this can violate Google’s rules and risk a profile being suspended.

Lead-generation playbook

  • Choose a local market: Vaibhav recommends smaller cities or areas where the seller can potentially meet owners in person, rather than starting in a very large city.
  • Find prospects on Google Maps: Search by business category and review listings.
  • Apply the “Five Point Google Map Test”: Award one point for each issue:
    1. Very few reviews.
    2. Poor or missing photos.
    3. No website.
    4. Incomplete business details, such as missing hours or contact information.
    5. An unclaimed or poorly maintained profile.
  • Prioritize businesses scoring 3–5 points.
  • Track prospects in a spreadsheet with fields such as business name, phone, review count, website status, observed problems, and follow-up status.
  • Favor volume over perfect prospect research: the presenter recommends finding about 50 businesses in 20 minutes and improving through repeated outreach.

Sales and cold-calling approach

  • Lead with an observation about the business’s actual profile rather than opening with a generic service pitch.
  • Ask permission to take a couple of minutes, explain a concrete issue and its possible effect on customers, then offer an audit or improvement.
  • Provide value before discussing price; avoid pressuring the prospect to buy.
  • Expect rejection and treat calling as a skill developed through practice. Vaibhav says his first batch of five clients took roughly 200–300 calls.

Pricing, targets, and claimed results

  • Suggested introductory price: ₹1,000–₹1,500 per client.
  • Once the seller has clients, testimonials, and results, Vaibhav suggests raising prices to ₹3,000–₹5,000.
  • His illustrative sales funnel assumes 100 calls/day → 40 answered → 10 interested → 5 clients. At ₹1,000 each, that would be ₹5,000/day, or about ₹1.5 lakh over 30 days. These are projections, not guaranteed results; the video also gives a more demanding example of 200–300 calls to land the first five clients.
  • In a live call to a Pune gym, the owner agreed to meet at 5 p.m. to discuss a ₹1,000 one-time profile optimization.
  • Vaibhav cites anecdotal examples: his editing school reportedly gets 5 of every 20 candidates organically through its Google profile, and he says a client gym saw a 20–30% increase in footfall after profile work. These are presenter-reported outcomes, not independently verified metrics.

Learning and execution recommendations

  • Learn the service before selling it, using Google’s official Business Profile documentation and tutorials.
  • Vaibhav also recommends Google’s free, approximately 42-minute course, which he says includes certification, and using ChatGPT to clarify unfamiliar concepts.
  • Focus on owners who are busy or value outside help; some owners may reasonably prefer to make the changes themselves.
  • Treat the opening offer as a way to build experience and proof, then adjust pricing as results and testimonials accumulate.

Presenter and sources

  • Presenter: Vaibhav Kadnar.
  • Sources/tools mentioned: Google Business Profile documentation and tutorials, Google’s free course, Google Maps, and ChatGPT.

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