Skip to main content

I grew up above our family restaurant. Before I could see over the counter I knew what a slow Tuesday felt like and what a line out the door did to my parents’ faces. All through high school I worked in sporting goods stores, selling skis in the winter, running shoes in the spring, and workout wear whenever someone would let me. Later I owned a health club, and then I went to work for Bally Total Fitness, at the time the largest health club chain in the world, where I learned that a membership sold at the front desk is a completely different thing from a member who is still walking through the door in March. Brick and mortar retail is in my blood. I know the sound of a store that is winning and the silence of one that is not.

What changed in the last two years is where that silence begins. It no longer starts at the window. It starts in a chat box, when a shopper asks an AI assistant where to buy running shoes that fit a wide foot, and the assistant answers with three stores that are not yours. I have spent the last several years on the other side of that question, teaching business owners how to become the answer AI gives, through my Get FOUND Method and the free AI Visibility Test. So this is not a piece about technology for its own sake. It is eight steps, in the order a searcher actually travels: from typing a question into an AI assistant, to reading about you, to trusting you, to walking in, to coming back. Each step comes with the exact prompt so you can try it before you close tonight.

Why the searcher’s path has changed

The way people find a store has changed faster than most store owners realise. BrightLocal’s March 2026 research found that 45 percent of U.S. consumers now ask an AI tool for local business recommendations, up from 6 percent a year earlier. AI is already the third most used tool for finding a local business, behind only Google and Facebook and ahead of Yelp. In a separate April 2026 survey of 1,009 shoppers, 77.6 percent had used AI to shop in the previous six months and 68.5 percent were using it for product research before buying.

The owners are moving too. Constant Contact’s 2026 survey of more than 5,000 small business owners and consumers puts U.S. small business adoption of AI marketing tools at 87 percent, up from 26 percent in 2023. The same report found 47 percent of owners handle all of their social media alone, and 49 percent of consumers now discover brands through social media rather than a search engine. If you are the owner and the marketing team in one body, this is written for you.

The silence of a losing store no longer starts at the window. It starts in a chat box.

Step 1. Find out what AI is already telling searchers about your store

Every step that follows assumes the AI assistants can find you and describe you correctly. Often they cannot, and the reason is rarely dramatic. Your hours differ between Google and Facebook. Your website still lists a category you dropped. Your name is spelled three ways across directories. AI systems read all of it and, when the signals disagree, they hedge or skip you. One of my Get FOUND students, Galina Valean of CreateCaster in Los Angeles, saw a roughly 200 percent increase in AI search traffic in thirty days after doing nothing more than the clean up and make consistent steps.

You cannot fix what you have not measured, so this is where the journey starts. I built a free scorecard for exactly this. It takes five minutes and five prompts, and it tells you whether AI currently sees your business as invisible, inconsistent, findable, or the answer. Run it first. Everything that follows is easier once you know your score.

Take the 5 Minute AI Visibility Test

Five prompts, a score out of ten, and a clean up checklist you can finish this week. Free, no marketing team required.

Get My AI Visibility Score

Step 2. Make your Google Business Profile answer the searcher’s question

When someone asks ChatGPT or Google’s AI Mode “best running store near me that fits gait,” the answer is assembled largely from what your Google Business Profile, your website, and your reviews say about you. Most profiles were filled in once, years ago, in a hurry. Studies compiled by Shno put engagement on complete, regularly updated profiles 30 to 50 percent above incomplete ones, and 76 percent of “near me” mobile searches lead to a store visit within a day. Ask AI to audit yours as if it were the customer.

Prompt

Here is the text of my Google Business Profile: [paste business description, categories, services, hours, attributes]. I run a [type of store] in [city]. Act as a customer asking an AI assistant for “[the way a customer would describe your store] near me.” Tell me: (1) which questions a customer would ask that my profile does not answer, (2) three attributes or services I should add, and (3) a rewritten 750 character description that says plainly who we are for and what we are known for. No hype, no exclamation marks.

Step 3. Write product descriptions that answer what the shopper asked AI

When 68.5 percent of shoppers research products with AI first, a description that reads “premium quality, great value” is invisible. AI assistants surface products whose pages answer specific questions: who is it for, what does it fix, how does it compare, what size do I buy. Rewriting your top twenty products this way is a Sunday afternoon with a laptop.

Prompt

Rewrite this product description for [product]: [paste current text and any specs]. Write for a shopper who has asked an AI assistant “[the question a real customer asks about this kind of product].” Structure: one sentence on who it is for, three plain sentences on what it does and what it does not do, a sizing or fit note, and one sentence on why we stock it at [store name]. Under 120 words. No superlatives.

Step 4. Earn the trust check: answer every review within a day, in your own voice

BrightLocal’s 2026 Local Consumer Review Survey found that 80 percent of consumers are likely to use a business that responds to all of its reviews, 42 percent avoid businesses that ignore feedback, and 32 percent now expect a response within a day. Consumers also said they can tell a generic reply from a real one. The trick is to let AI draft and let a human sign. Paste the review, add one true detail only you would know, and send.

Prompt

You write review responses for [store name], a [type of store] in [city]. Our voice is warm, brief, and never defensive. Here is a review: [paste]. Write a reply of no more than 60 words that thanks them by name, refers to one specific detail from their review, and (if it is a complaint) offers a concrete next step and a real person to contact. Do not use the words “valued customer,” “we apologize for any inconvenience,” or any exclamation marks.

Step 5. Show up where they scroll: turn one product into a week of social posts

The single biggest time sink for an owner marketer is staring at a blank caption box. LocaliQ’s 2026 trends report found that 81 percent of small businesses using AI use it for content creation and 84 percent use it specifically to save time. The retailers doing this well do not ask AI to “write a post.” They hand it one product and ask for a week.

Prompt

I own [store name] in [city]. This week I want to feature [product], which [one sentence on who it is for and why we chose to carry it]. Give me five short social posts for Instagram and Facebook, one per weekday, each with a different angle: the problem it solves, a staff pick with a one line quote, a how to use it tip, a customer story prompt asking followers to share, and a Saturday “come see it in store” post with our hours. Under 60 words each, plain language, no hashtags in the body (list 5 at the end), and no emojis.

Step 6. Give them a face to walk in for: make your staff the content

The most watched thirty seconds a small store can publish is a real employee holding a real product and saying why they like it. Owners avoid this because scripting feels like a project. It is a prompt. LocaliQ’s data shows Instagram use among small businesses rising to 74 percent while TikTok fell to 22 percent, so put the video where your customers already are, which for most independent retailers is Instagram and Facebook.

Prompt

Write a 30 second spoken script for [staff first name], who works at [store name], to film on a phone about [product]. Conversational, first person, one sentence hook about a problem the customer has, two sentences on why [staff name] personally likes this product, one sentence on who should not buy it, and a closing line inviting people to come in and ask for [staff name]. Under 80 words. It must sound like a person, not an advert.

Step 7. Keep them once you have them: a weekly email in twenty minutes

Email is still the channel a retailer owns outright, and it is the one most owners abandon because it takes too long. It does not have to. Take your five social posts from step five, your best new review from step four, and this week’s event or arrival, and ask AI to assemble them.

Prompt

Assemble a short weekly email for customers of [store name]. Inputs: new arrival [product and one line], this week’s staff pick [product and quote], one customer review [paste], and one event or reminder [details, date, time]. Format: a subject line under 45 characters, a preheader under 90 characters, a two sentence greeting from [owner first name], then the four items as short paragraphs with a bold lead in each, and a one line sign off. Total under 220 words. Plain, friendly, no exclamation marks.

Step 8. Grow the basket and bring them back: ask AI to read your own sales data

This is the step I care about most, because it is the one I watched retailers skip for years. Export the last ninety days of sales from your point of sale system as a spreadsheet, remove customer names, and hand it to an AI assistant that accepts file uploads. You are not asking it to run the business. You are asking it to see the pattern you are too busy to notice: the product that sells only on Saturdays, the category that dies after 3 p.m., the two items that always leave together and should sit next to each other.

This is also where the second sale lives. Anyone who has worked a sporting goods floor knows that the person who came in for a baseball glove rarely needs only a glove. They need a bat that suits their swing, cleats that fit, and a sweatshirt with their team’s logo for the cold games in April. The searcher has done the hard part by walking through your door. Your sales data already knows what people buy together; you have simply never had time to ask it. Once you know the pairs, the follow through is old fashioned retail: put the bat beside the gloves, train the staff to ask one good question, and mention the pairing in the weekly email.

Prompt

Attached is 90 days of sales data from my [type of store] (columns: date, time, product, category, quantity, price). Find: (1) the five products with the strongest day of week or time of day pattern, (2) three pairs of products that are frequently bought in the same transaction, (3) any category whose sales fell more than 20 percent month over month, and (4) for our three best selling products, the natural add on a customer is most likely to also need, and (5) three specific merchandising or promotion ideas based on what you found. Show your reasoning briefly and tell me where the data is too thin to be confident.

Three guardrails before you start

First, AI drafts and a human signs. Every review reply, every caption, every product description goes out under your name, so read it as your customer would. Constant Contact found 46 percent of shoppers want AI generated content labelled; the simplest way around that expectation is to edit until it is honestly yours. Second, never let AI answer a complaint you have not read yourself. The draft saves time; the judgement is the job. Third, protect your customers’ data. Strip names and contact details before uploading anything, and use a business account rather than a personal one so your data is not used for training.

AI drafts. A human signs. The judgement is still the job.

If you only have three evenings

Take step one on the first evening, because most stores discover their hours or their name disagree somewhere, and that alone is costing them searchers. Spend the second evening on step four, clearing the review backlog, since that is the change customers notice fastest. Spend the third on step eight with your sales export, because the pattern it finds will tell you which product deserves the first staff video and which day to post it. None of this requires a marketing team. It requires an owner willing to spend three evenings with a tool most of the headlines have told them to fear.

That is the part of this story I keep coming back to as an AI keynote speaker who spends a good deal of time with retail and consumer teams. The headlines are about what AI might take away. The store owners are quietly discovering what it gives back, which is the one thing they have never had enough of: time to do the human parts of the business well.

If your association or company is bringing retailers together and wants a practical, hopeful session on AI rather than a frightening one, you can check my availability here.

About Susan Sly

Susan Sly is an AI keynote speaker and AI ethicist, recognized as one of the Top 7 Female AI Thought Leaders in the World. A graduate of MIT Sloan and the MIT School of Engineering, she has led large scale AI deployments in retail and presents to enterprise teams at companies including NVIDIA, HPE, Intel, and Lenovo. She serves as AI Expert in Residence for the National Sporting Goods Association.

About Susan Sly

Susan Sly is an AI keynote speaker and AI ethicist, recognized as one of the Top 7 Female AI Thought Leaders in the World. A graduate of MIT Sloan and the MIT School of Engineering, she has led large scale AI deployments in retail and presents to enterprise teams at companies including NVIDIA, HPE, Intel, and Lenovo. She serves as AI Expert in Residence for the National Sporting Goods Association.

Susan Sly

Susan Sly is a female AI keynote speaker, two time AI founder and AI ethicist. Named a Top 7 Female AI Thought Leader for 2026, she has keynoted at Davos, CES and Ai4 and has delivered keynotes for Intel, NVIDIA, Hewlett Packard Enterprise and Lenovo. She is the founder and CEO of The Pause Technologies, former Co-CEO and Co-Founder of a leading computer vision company, and a graduate of MIT Sloan and the MIT School of Engineering in Executive Education. She has been featured on CNN, CNBC and Fox and serves as AI Expert-in-Residence for the National Sporting Goods Association.

Leave a Reply