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How to Use AI to Simplify Small Business Growth (6-Step Framework)
Published May 20, 2025 · 124 views on YouTube
Key takeaways
- Ask ChatGPT or Claude to turn an unstructured brain dump of tasks into an organized, prioritized workflow, template, and downloadable spreadsheet, rather than trying to categorize tasks yourself first.
- Use Perplexity to validate market viability (industry size, demand) before building out a marketing plan, so positioning is grounded in evidence rather than assumption.
- Set a 30-day commitment sheet with columns for in-progress, done, and not-done, then feed the results back into AI at the end of the month and ask for a review of how to perform better next cycle.
- When a decision is emotionally loaded, describe the situation and desired outcome to a chat model and ask it to evaluate the choice both logically and emotionally before acting.
- Learn one AI tool well before adding a second, then start combining them (for example, feeding a Fathom call recording into a chat model to generate a client case study).
What is Shelley Berman Rubin’s 6-step framework for using AI in a small business?
The six steps are commitment, focus on daily results, differentiating and marketing, managing business relationships, managing emotion, and accountability. Each step pairs a core small-business discipline with a specific way to use AI tools like ChatGPT and Claude, bookended by commitment at the start and accountability at the end of a 30-day cycle.
How does step one, commitment, work with AI?
Commitment covers three areas: commitment to yourself, to your product or service, and to a revenue target, broken into a 30-day goal rather than an annual one. The recommended AI prompt is to tell ChatGPT what you want to accomplish and by when, and ask it to generate a 30-day accountability spreadsheet, which is then printed out and tracked on paper.
How is AI used to bring focus and organize daily tasks?
The framework rejects traditional time management in favor of what Rubin calls emotional management: writing down three to five priority activities the night before, time-blocking the day, and eliminating distractions. For overwhelmed clients, she demonstrates giving a chat model an unstructured brain dump of everything on their mind and asking it to organize and prioritize the content — the example in the video shows a client’s disorganized list turned into categorized headers (administrative, operations, technology, financial), a task-management workflow, a responsibility/priority/deadline template, and an exportable spreadsheet, all generated from a single prompt with no manual sorting by the client.
How does AI support differentiating and marketing a business?
Before building a marketing plan, Rubin uses Perplexity to research whether a niche is a viable market — in one example, confirming that the dance-school coaching industry is a $3.8 billion market before a client proceeded with positioning. From there, businesses craft a 12-to-15-word differentiating statement (“we work with [who] who want [outcome]”) and use it as the input for a chat model prompt asking for a 30-day marketing plan covering channels like Facebook, LinkedIn, newsletters, and blogs.
What does the framework recommend for relationships and emotional management?
For step four, managing business relationships, the framework centers on building and maintaining a contact database (Rubin uses Constant Contact), then using AI to draft follow-up email sequences and educational content rather than purely sales-driven messaging, with Grammarly recommended as a pass to keep copy sounding human. For step five, managing emotion, she teaches an emotional-intelligence technique called VET (validate, empathize, explore/ask questions) and a six-second pause before decisions, and suggests describing a high-emotion situation to a chat model and asking it to weigh the decision both logically and emotionally.
How does the framework close the loop with accountability?
Step six ties back to the 30-day commitment sheet: reviewing what’s in progress, done, and not done, feeding those results into AI for a performance review, and pairing that with a human accountability partner, coach, or community. The closing recommendation is to learn one AI tool well before combining it with others (the video gives an example of merging five Fathom call recordings into a single chat conversation to build a plan), and to keep applying the GSD principle — get organized, start small, measure results, and scale.
Full video transcript
Shelley Berman Rubin introduces herself as a business and communication strategist and president of Small Business Results, a company she has run for 20 years after five decades as a soloreneur running four other companies. She built a strategic framework she calls “the truth about succeeding in small business,” made up of six steps, and has integrated AI into each one.
Step one is commitment — to yourself, to your product or service, and to revenue. She argues a wavering commitment is no commitment at all, and that entrepreneurs need to pick one idea, research it, and commit to a direction rather than chasing every new idea. On revenue, she reframes an annual income goal into a 30-day target: instead of “$120,000 a year,” she asks clients what they want to make in the next 30 days, because a good month leads to a great year. Her recommended prompt is to tell ChatGPT what you want and by when, and ask it to build a 30-day commitment spreadsheet, printed out and tracked by hand.
Step two is focus on daily results. Rather than time management, she teaches emotional management: writing three to five priority tasks the night before, time-blocking the day around clients and projects, cutting distractions, and staying disciplined with time, energy, and money. She shares a story of a client in tears, overwhelmed, whom she walked through a live ChatGPT brain-dump exercise — the client rattled off unsorted tasks, and ChatGPT organized them into categories like administrative, operations, technology, and financial, then produced a task-management workflow, a responsibility/priority/deadline template, and a downloadable Excel spreadsheet. The client said she’d never felt more organized in 24 years running her business.
Step three is differentiating and marketing. Rubin describes a client considering coaching for dance school owners; she used Perplexity to confirm it was a viable market — a $3.8 billion industry — which gave the client credibility before building a marketing plan. From there, businesses distill a 12-to-15-word differentiating (hero) statement describing who they work with and the outcome they deliver, then feed that into a chat model to generate a 30-day marketing plan across channels like Facebook, LinkedIn, newsletters, and blogs.
Step four is managing effective business relationships, starting with cleaning up and centralizing a contact database (she uses Constant Contact, noting HubSpot as another option). She stresses building and maintaining relationships through networking, email marketing, and AI-drafted follow-up sequences, and argues businesses should demonstrate expertise through educational, “give, give, give” content rather than sales-heavy messaging — running copy through tools like Grammarly so it doesn’t read as AI-generated.
Step five is managing emotion. Rubin describes a client, Diane, arriving distraught before a major negotiation, and using an emotional-intelligence technique called VET — validate, empathize, and explore through curious questions — to calm her before working through the negotiation together. She is certified in six-second emotional intelligence, which holds that pausing six seconds connects intellect, heart, and feelings before a decision. Her AI prompt for this step is to describe a high-emotion situation and desired outcome to a chat model and ask it to evaluate the decision both logically and emotionally.
Step six is accountability, the bookend to commitment. She recommends reviewing the 30-day commitment sheet for what’s in progress, done, and not done, feeding the results into AI for a performance review, and adding a human accountability partner, coach, or community. She closes with four recommendations: commit to a 30-day revenue target, learn one AI tool well before combining tools (citing an example of merging five Fathom meeting recordings into one chat conversation to build a case study and plan), and follow GSD — get organized, start small, measure results, and scale. She notes AI wasn’t available to her for most of her 50-year career and encourages viewers to learn it and embrace it. The talk closes with an offer of a complimentary consultation and prompt sheets covering each of the six steps.