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    5 Easy Ways to Use AI (Tested for Small Businesses)

    YGLukBy YGLukSeptember 29, 2025No Comments16 Mins Read
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    New use circumstances for AI pop up each day, every promising a utopia of ultra-efficiency and infinite good concepts.

    However do they actually work for small companies, the place there’s little time to develop complicated options or look forward to future returns?

    To seek out out, I ran 5 experiments to see if AI workflows and prompts that entrepreneurs and enterprise leaders are already utilizing could possibly be tailored for native companies (suppose: plumbers, yoga studios, or non-public preschools).

    On this information, you’ll see what labored, what didn’t, and the way you should use every tactic on your personal enterprise proper now.

    Contents

    1. Use on-line boards like a large focus group

    On-line boards are an absolute embarrassment of riches in terms of studying about your clients. Reddit, Quora, and different area of interest messaging boards maintain thousands and thousands of unfiltered concepts and opinions you should use to information content material advertising, product improvement, positioning statements, and a lot extra.

    Right here’s the rub: there are SO many conversations occurring that it’s almost inconceivable for a human to sift by means of all of them.

    Abby Mood, the advertising director at Velocity Advisory Group, makes use of ChatGPT to scour these digital areas for frequent questions her audience is asking.

    The experiment

    For this experiment, I took on the function of a content material marketer for a bodily therapist and operating coach. My purpose was to get an inventory of questions my target audience of runners asks about diet in order that I can flip them right into a collection of weblog and social media posts.

    Abby gave me the editable immediate she makes use of for the duty:

    “What are the questions [target demographic] are asking essentially the most often about [topic/service/pain point]? Search for them on social websites, boards, Reddit, Quora, and different locations the place [target demographic] ask questions. Discover as many as doable. Then, categorize them and rank-stack them by frequency.”

    I swapped within the demographic as “runners” and the subject as “diet.”

    ChatGPT recognized 5 topical classes, ranked them by frequency, and added some consultant questions from these threads.

    This abstract is nice. However I additionally needed the uncooked information organized in a desk. Abby has a immediate for that, too:

    “Format the report with a desk on the high summarizing your findings. Then, make every class a heading to be adopted by a fast abstract of what you discovered for that class and a couple of dozen bullets of direct quotes you discovered that signify that class.”

    It created a desk with 121 consultant questions runners are asking about diet. They’re ranked by frequency and categorized by matter. The AI let me obtain the desk right into a CSV, and I did just a little formatting to make it simpler to learn.

    AI experiments - ranked categories in a chart.

    It is a implausible checklist of questions I can bake into blog posts, guides, TikToks…no matter! The method took me lower than 5 minutes to finish.

    The best way to use this tactic

    It’s simple sufficient to easily change the subject and viewers in Abby’s prompts. From there, I’d do just a few extra issues to assist fill my content calendar:

    • Use Google and Ahrefs, Moz, or our Free Keyword Tool to see if any of those phrases have shut Search engine marketing key phrase equivalents.
    • Search for the questions that aren’t answered to death by my content competitors.
    • Search for apparent groupings of questions that may be expanded right into a extra complete piece of content material.

    However the potential goes far past content material. I may see a diet enterprise utilizing this to both develop dietary supplements or a dietary program that addresses these questions. Alternatively, an advertiser may construct a marketing campaign round how their merchandise tackle these considerations.

    🤖 Need extra? Obtain the Emergency Guide to AI in Marketing

    2. Repurpose content material into social media posts in a flash

    No different advertising channel lets native companies join with so many individuals in such an interesting approach as social media does. However a plumber or native dentist gained’t usually have a full-time, devoted social media marketer who can create posts quick sufficient to fill the unending want for content material.

    Anna Burgess Yang is aware of this problem properly. She’s a content marketer and a solopreneur who has to squeeze in time to do social whereas maintaining a busy consumer schedule (plus billing and all the opposite duties of a small enterprise).

    Fortunately, Anna can be an AI tool tinkerer. She lately shared with us how she transforms interview transcripts and different prolonged property into social media posts in just some seconds. “I’ve already finished the laborious work by crafting long-form content material. Why not use AI to hurry up the method of making social posts?” she defined.

    The experiment

    Anna makes use of a paid model of Author for this job. I’m utilizing trusty ol’ ChatGPT. My purpose is to show a weblog publish, this time from a local lawn care business, into publishable social media content material shortly.

    AI experiments - Lawn care post.

    Source

    Anna likes the immediate, “Summarize this publish into three key takeaways.” I’ll begin there. Right here’s what ChatGPT gave me:

    Right here’s the place Anna would transfer these three factors into her process administration software and use them as the idea for future social media posts.

    For my experiment, I’m going proper to the social publish writing stage. I’m not a fan of utilizing AI to put in writing copy wholesale. However I needed to offer it a strive for this experiment.

    Right here’s the immediate I entered and one of many posts it wrote:

    “Are you able to flip these three subjects into three social media posts? Give attention to a method that’s good for Fb, however make them helpful for Instagram and X/Twitter, too.”

    Right here’s one of many posts.

    AI experiments - social post from ChatGPT.

    It’s positively not a method of publish I’d publish. And the overuse of emojis is a typical AI inform. However I do like that ChatGPT added some hashtags. It positively wants a call to action. And to be truthful, the weblog publish was fairly high-level.

    I made a decision to strive another. It is a for much longer publish about operating diet. I skipped the “key takeaways” step and simply requested for 3 social media posts.

    I bumped into an issue.

    It gave me three totally different concepts for a similar weblog publish. What I needed was a collection of three posts I may plan out for the following week. So I modified the immediate to:

    “Learn this weblog publish. Pull out three key factors that might make good social media posts. Then write the three posts, ensuring they don’t cowl the identical factors. Maintain them concise.”

    It produced three posts round distinctive subjects:

    • Fueling earlier than and through your path run
    • Restoration and customary diet errors
    • Smarter on a regular basis diet for path runners

    Right here’s an instance of the output:

    AI experiments - social posts by ChatGPT

    Nonetheless not implausible. However it’s no less than a begin.

    The best way to use this tactic

    After operating this experiment, I feel I’d use Anna’s preliminary methodology and simply get ChatGPT to drag key ideas from a protracted little bit of textual content.

    For an area enterprise, that could possibly be a weblog publish or e book. It is also from the transcript of a chat they gave at an area occasion. Or it may even come from recorded buyer conversations and gross sales pitches.

    3. Create complete Search engine marketing outlines shortly

    The best weblog posts are constructed on well-crafted outlines. When you may have a strong construction, a novel theme, and robust key parts (like stats and quotes), the top end result has a a lot better probability of participating readers and being ranked by search engines.

    Now, it’s not new to ask AI to throw collectively a fast define. However Chris Long, co-founder of Nectiv (an Search engine marketing and GEO providers supplier), detailed a workflow he makes use of to get a far more complete model that’s dialed in for Search engine marketing.

    The experiment

    Chris uses ChatGPT in Agent Mode, together with an in depth immediate, to evaluation at present rating content material, analyze informational gaps, and supply questions that must be answered based mostly on a key phrase.

    In case you’re new to it, Agent Mode combines ChatGPT’s Deep Analysis capabilities with its Operational features. Meaning you may give it complicated, multi-step duties that require digging by means of a number of web sites.

    I took on the persona of promoting supervisor for a personal preschool. The check goals to find out if I can get hold of a usable Search engine marketing-focused define from ChatGPT’s Agent Mode for a related, high-volume key phrase.

    I made a decision to base this check on the key phrase “preschool curriculum” as a result of it has respectable search quantity and a manageable problem stage.

    I used the precise immediate Chris shared, solely adjusting it for my key phrase:

    “Are you able to have a look at the highest Google outcomes for ‘preschool curriculum?’ Based mostly on these outcomes, are you able to present a content material define that incorporates: 1) 6-8 sections of content material to create with notes, 2) FAQs so as to add to the web page, and three) Semantic entities to incorporate on the web page.”

    Agent Mode went to work. Over the course of 8 minutes, it learn a number of rating articles and appeared to seek for subtopics (like match curricula, and so forth.). It additionally acknowledged that it was verifying citations.

    AI experiments - Agent Mode screenshot.

    As Chris prompt, ChatGPT created a reasonably detailed define. Every subsection had three to 5 bullet factors with citations. That is the ultimate subsection:

    AI experiments - One section of an outline.

    There was additionally an inventory of 5 FAQs and a giant checklist of semantic entities to incorporate.

    AI experiments - list of semantic elements.

    I discovered the subtopics and semantic entities to be useful. However I seen some apparent sections lacking for this to satisfy the reader’s intent. I feel that’s down to 2 issues:

    • ChatGPT selected an intent: The intent of the highest-ranking posts was blended. Some have been promotional and aimed toward educating dad and mom a couple of college’s curriculum. Others have been informational and written for an viewers of lecturers and directors. ChatGPT selected a reasonably generic intent designed for folks.
    • It didn’t tackle Google search options: The define doesn’t appear to comply with or reference the subjects in Google’s “Folks additionally ask” or “Issues to know” snippets.

    The best way to use this tactic

    Chris’s technique can be actually helpful to assist a non-Search engine marketing professional create weblog publish outlines. You might even use this on your publication or lead magnet guides.

    Chris mentioned in his publish that it is a progressive work that may take some forwards and backwards to get it the place you need it. Listed below are some issues I’d do to dial within the outcomes:

    • Verify your audience: Don’t make the AI resolve who your viewers is. Add that into your immediate so if the intent is just a little murky, you’ll get a top level view that’s related to the folks that you must interact.
    • Feed it SERP information: Agent Mode advised me it might’t entry stay SERP options like Folks additionally ask. These are necessary to handle in an Search engine marketing weblog publish. So strive copying and pasting them into your AI dialogue.
    • Swap to straightforward mode for fundamental questions: Agent mode does quite a lot of deep pondering. For those who simply wish to know one thing like “are you able to entry SERP options,” it’s a lot sooner to modify to the usual ChatGPT mode and ask it.

    💡 Search engine marketing is an effective choice for driving visitors. Discover extra in 25 Ways to Increase Traffic to Your Website

    4. Pull insights from a whole bunch of buyer critiques

    We write quite a bit in regards to the importance of online reviews for small companies. In my view, they’re a type of advertising property which might be actually vital for progress but additionally actually tough to wrangle (particularly when you get quite a lot of them).

    My subsequent experiment relies on an thought posted by Matt Meazy, a freelance SEO consultant, on LinkedIn. The thought is to get AI to evaluation a whole bunch of on-line critiques for what you are promoting, then pull and arrange priceless insights.

    The experiment

    I needed to start out off on foot, so I reached out to Matt for extra particulars. He mentioned he makes use of Agent Mode in ChatGPT for this one. Right here’s the immediate Matt feeds it:

    “Go to these two web sites, analyze all critiques, and create a doc right here that summarizes the findings. I wish to know commonalities and patterns, each optimistic and destructive, for every of the venues and every product. I’ll use this perception to create content material on the web site, resembling “visitor says”.

    I went just a little broader with it and requested Agent Mode to search out all critiques on Google, Yelp, or another evaluation websites for Ceremony Plumbing, an precise plumber based mostly in New York. It spent 26 minutes on the duty.

    AI experiments - Agent Mode screenshot.

    Holy cow, did this one ship! ChatGPT spun up a full report on what it realized from dozens of internet sites and probably a whole bunch of critiques (it was laborious to say what number of in whole).

    AI experiments - Review of reviews in a chart.

    The report listed generally perceived strengths of the enterprise (responsiveness, good communication) in addition to weaknesses (larger costs). It additionally elaborated on a few of its findings for every evaluation website.

    AI experiments - Summary of reviews.

    One factor I seen was that my report didn’t present particular buyer quotes. That’s as a result of it couldn’t learn the precise critiques from Google. It needed to depend on third-party web sites that talked about these critiques.

    The best way to use this tactic

    There are a number of locations I may use this data for my plumbing enterprise. I may spot directories the place my ranking is low and see if it’s getting evaluation bombed. I may share the scores on my web site and social posts. I may additionally use the suggestions to alter up my providers or reposition them to raised meet expectations.

    Matt makes use of precise buyer quotes as social proof in advertising property, which is absolute gold. I feel the following experiment can be to strive giving ChatGPT a particular listing to see what it might learn, and rework the immediate to ask for quotes.

    5. Analyze your opponents

    Studying your competitors will be the perfect supply of recent concepts to develop what you are promoting. It’ll spotlight gaps in your services or products choices, offer you new methods to place what you promote,  present you which ones buyer segments aren’t being serviced, and a complete lot extra.

    Celia Quillian, director of AI and progress at Greenlight, advised us how she makes that simpler by utilizing ChatGPT to investigate opponents’ web sites for issues like branding, product descriptions, and so forth.

    The experiment

    I tried a version of this utilizing the unpaid model of ChatGPT some time in the past with restricted outcomes. For this experiment, I needed to see if the up to date, paid model may do higher. And if it might work for a small native enterprise. On this case, a yoga studio.

    I began by asking ChatGPT to supply a complete and reusable immediate. Right here it’s:

    “Evaluate these three competitor web sites: [link 1], [link 2], [link 3].
    Analyze them for:

    1. Pricing – How they present or cover costs, tiers, packages, or promotions.
    2. Branding & Messaging – The tone, visuals, and worth propositions they use to attraction to clients.
    3. Positioning & Differentiation – What makes every stand out (or mix in) in comparison with the others.
    4. Web site Expertise – Ease of navigation, calls-to-action, and the way clear it’s for a customer to take the following step.
    5. Content material & Engagement – Use of blogs, FAQs, movies, critiques, or different parts that construct belief and engagement.*

    Lastly, summarize the strengths, weaknesses, and alternatives for a small enterprise competing with them.”

    I switched again to Agent Mode and put AI to work reviewing the web sites of three top-rated yoga studios in Los Angeles.

    Utilizing simply this immediate, ChatGPT created an eight-column desk with data for every of the three companies. It was just a little laborious to learn within the dialogue field, so I requested for a downloadable CSV file.

    Once more, a contact of formatting and, voilà:

    AI experiments - chart of competitor data.

    I feel the perfect half is the fee evaluation. For those who choose the three studios nearest yours, you possibly can shortly see when you’re over- or under-priced on your neighborhood. Plus, you’d get concepts for easy methods to create and promote packages.

    I additionally cherished the weaknesses column. It exhibits a number of methods you possibly can acquire a bonus, like with pricing transparency and a extra simply navigable web site.

    The best way to use this tactic

    As is, Celia’s tactic is immediately usable for nearly any native enterprise. My experiment can be just the start of what you’ll be able to study.

    For instance, I requested just a few of those questions and obtained again much more element:

    • Do these web sites have a weblog, and have they printed lately?
    • How does the web site seize leads or encourage guests to take the following step? Do they use particular calls to motion? Is their schedule system simple to search out?
    • What sorts of social proof do they embody (critiques, testimonials, awards, and so forth.)?
    • What do they do for native Search engine marketing (do they point out town or neighborhood title typically, present involvement in neighborhood occasions, companion with native companies)?

    You’ll have clued in on the mentions of “critiques.” You may mix this tactic with a evaluation search to see what folks say about your opponents and collect extra data to work with.

    Attempt these AI ways for what you are promoting

    The purpose of those experiments was to search out methods a small enterprise can use AI for higher advertising. The general reply is sure, every of those ways will be tailored for an area enterprise to make use of shortly.

    Every enterprise is exclusive, although. And AI has seemingly infinite adaptability. So strive the prompts and workflows I’ve listed right here, after which begin asking your AI extra questions in regards to the outcomes. If you wish to know extra about your opponents or which merchandise folks have essentially the most issues with, problem AI to determine it out.



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