Ask Daryl Market | FOCUSFACTOR.TECH

1. What Is Being Sold, Stated Plainly

A target-demographic analysis is only as honest as its description of the product. This is what Ask Daryl says it is, taken from its published page.

Ask Daryl, published by Future Factor AI, describes itself as a 24/7 AI business and technology consultant offering advice on demand, platform-agnostic tool recommendations, business plans with the arithmetic shown, before-and-after time logging, and fifteen training modules.[21]
Why it matters: Those five functions define the buyer: someone who needs consulting-style answers, tool decisions, a plan, proof of savings, and training — and who is not getting them elsewhere.
The product publishes a seven-part answer standard (double-check facts, cite sources, show equations, no exaggeration, follow the law, no plagiarism, audit AI-written code). These are stated commitments, not independently audited results.[21]
Why it matters: The standard is a differentiator only for buyers who have been burned by confident, wrong AI output. That points toward users with some AI experience rather than first-timers.
No public price for Ask Daryl was found during this research. The pricing discussion in section 7 therefore uses competitor prices as anchors, not Ask Daryl's own.
Why it matters: A demographic can be identified without a price, but willingness to pay cannot. That gap is named here rather than filled with a guess.

2. The Addressable Universe: U.S. Small Business By The Numbers

Government counts set the outer boundary. They are large, and most of the units inside them are one person.

The SBA Office of Advocacy's 2025 profile counts 36.2 million U.S. small businesses (fewer than 500 employees), employing 62.3 million people, or 45.9 percent of U.S. employees.[1],[2]
Why it matters: This is the ceiling, not the market. Most of these firms will never buy a consulting product of any kind.
Of those 36.2 million, 29.8 million have no employees, 5.72 million have 1–19 employees, and 654,501 have 20–499 employees.[1]
Why it matters: The shape matters more than the total. A product priced and designed for an individual decision-maker fits the 35.5 million firms with fewer than 20 employees; the 654,501 larger firms buy differently and are covered by enterprise AI vendors.
By sector, Professional, Scientific, and Technical Services is the largest small-business category at 4.88 million firms (4.01 million nonemployer, 815,006 with 1–19 employees), followed by Transportation and Warehousing (4.09 million) and Other Services (3.86 million).[1]
Why it matters: Professional services firms sell knowledge work, which is exactly where a chatbot consultant can be used in the daily workflow. Transportation firms, by contrast, are mostly owner-drivers — a large count with a weak fit.
Business formation is at record levels: the Census Bureau's Business Formation Statistics show about 5.67 million business applications in 2025, the highest annual figure on record, according to a compilation of the Census data. Monthly seasonally adjusted applications reached 578,926 in July 2026.[3],[4]
Why it matters: New founders are the group most likely to need a business plan, tool choices, and basic training at the same time. The annual figure here comes from a secondary compilation of Census data; the monthly figure is from the Census release itself.
MBO Partners counts 72.9 million Americans working independently in some form in 2025, including a record 5.6 million who earn more than $100,000 a year.[5]
Why it matters: The 5.6 million high-earning independents are a distinct group: they make their own tooling decisions, have income to spend, and have no employer to train them. The 72.9 million total includes occasional side work and should not be read as 72.9 million potential customers.

3. Who Already Uses AI — And Why The Surveys Disagree

Published adoption rates for small business range from under 20 percent to over 75 percent. The spread is real and comes from definitions and samples, not error. Both ends are reported here.

The U.S. Chamber of Commerce's 2025 Empowering Small Business report finds 58 percent of small businesses say they use generative AI, up from 40 percent in 2024 and more than double the 2023 rate.[6],[7]
Why it matters: This measures whether an owner has used a generative AI tool at all. It is the broadest and most favourable definition.
Goldman Sachs 10,000 Small Businesses Voices reports 76 percent of surveyed owners currently use AI, 93 percent of users report a positive impact, only 14 percent say AI is fully embedded in core operations, and 73 percent say they would benefit from more training and implementation resources (survey of 1,256 program participants, January–February 2026).[8]
Why it matters: The sample is graduates of a selective business-education program, so it skews toward growth-minded owners. The finding that matters is the gap: 76 percent use it, 14 percent have integrated it. That gap is the product's opening.
The Census Bureau's Business Trends and Outlook Survey, a nationally representative biweekly sample, found AI use in any business function hovering between 17 and 20 percent from December 2025 to May 2026. Less than 20 percent of firms with four or fewer employees used AI; 37 percent of firms with 250 or more did. The Federal Reserve summarises the same data as about 18 percent of firms at year-end 2025.[10],[11]
Why it matters: This is the firm-level, government-run measure and the most conservative. Asked as an organisation whether AI is used in a business function, most small firms say no — even when the owner has personally tried ChatGPT.
BTOS sector data show Information (39.7 percent) and Finance and Insurance (33.9 percent) well above the 19.8 percent national rate, and Retail Trade (about 14 percent) below it.[10]
Why it matters: Sector predicts adoption better than size alone. Knowledge-work sectors are where an AI consultant meets users who already have the habit.
The U.S. Chamber Foundation's Main Street AI Monitor (May 2026, 1,070 small-business employees) finds half of small-business workers use AI at work; 43 percent of businesses with 2–9 employees use AI for work tasks versus 59 percent of those with 100–249 employees.[17]
Why it matters: Read together, the surveys say the same thing: individual use is common, organisational adoption is not, and the smallest firms lag most. Ask Daryl is an individual-use product, so the individual figures are the relevant ones — but the organisational figures show how far most buyers are from having a process.

4. The Individual Behind The Business: Age, Education, Habit

A small business buys what its owner buys. Population data on who uses chatbots and who starts businesses narrows the target considerably.

Pew Research Center found 34 percent of U.S. adults had used ChatGPT by early 2025, about double the 2023 share: 58 percent of adults under 30, 41 percent of those 30–49, 25 percent of those 50–64, and 10 percent of those 65 and older.[12]
Why it matters: Familiarity falls steeply with age. A product that assumes the buyer already talks to a chatbot is speaking mainly to people under 50.
Pew also finds a strong education gradient: about half of adults with a bachelor's (51 percent) or postgraduate degree (52 percent) have used ChatGPT, versus 33 percent with some college and 18 percent with a high school education or less.[12]
Why it matters: Degree-holding owners are far more likely to already be in the habit. This is a targeting signal, not a judgement about who would benefit.
Among employed adults, Pew reports 38 percent of 18–29-year-olds have used ChatGPT for work, versus 30 percent of those 30–49 and 18 percent of those 50 and older (February–March 2025 survey).[13]
Why it matters: Work use, not curiosity use, is what a consulting product monetises. The 30–49 band is where work use and business ownership overlap most.
Gallup's 2026 workplace tracking finds 52 percent of U.S. workers now use AI in their role and 30 percent use it frequently (a few times a week or more), up from 21 percent and 11 percent respectively in 2023.[14]
Why it matters: Frequent users are the ones who will notice the difference between a general chatbot and a specialised one. Roughly three in ten workers meet that bar.
Kauffman's Indicators of Early-Stage Entrepreneurship report the rate of new entrepreneurs is lowest among ages 20–34 and, in earlier editions, highest among ages 45–54 (0.44 percent per month in 2021). In 2024 the rate was 0.43 percent for men versus 0.24 percent for women, and 0.57 percent for immigrants versus 0.28 percent for native-born adults.[15],[16]
Why it matters: This is the tension at the heart of the targeting problem. The people most likely to start a business (45–54) are less likely to have used a chatbot than the under-30s. The practical target is the overlap: owners roughly 30–54 who hold a degree and already use AI at work. Immigrant founders start businesses at twice the native-born rate and are an under-discussed segment.

5. The Problem The Buyer Actually Has

A product sells when it matches a stated pain. The pains below are the ones small-business owners and workers report in the cited surveys — not the ones a vendor would prefer they had.

In the Chamber Foundation's monitor, 41 percent of small-business workers say it is unclear how AI applies to their specific business, 41 percent cite a skills gap, and 47 percent cite privacy or security concerns. About one in ten had been offered formal AI training.[17]
Why it matters: "Unclear how it applies to my business" is a consulting question, not a software question. That is the closest published match to what Ask Daryl says it does.
Among Goldman Sachs 10,000 Small Businesses participants, 73 percent say more training and implementation resources would help them (2026); an earlier wave put the figure at 88 percent wanting more training and support (October 2025).[8],[9]
Why it matters: Stated demand for training is consistently high across waves. Stated demand is not the same as willingness to pay, and the surveys did not ask about price.
In the same Goldman survey, 85 percent supported the AI for Main Street Act, which would direct the SBA and Small Business Development Centers to provide AI training and outreach.[8]
Why it matters: Owners are asking government to provide this for free. Any paid product competes with the expectation that help should cost nothing — see section 7.
Adoption is arriving bottom-up: 19 percent of small-business workers say AI use at their organisation has been driven mostly by employees exploring on their own, versus 11 percent who say it was driven by organisational direction.[17]
Why it matters: The buyer is often an individual acting alone, not a company running a procurement. That favours a self-serve, individually priced product over an enterprise sale.

6. Recommended Segments (ConnectPro Analysis)

The following segments are ConnectPro's interpretation of the evidence above. They are ranked by fit, not by size. Nothing in this section is a measured fact about Ask Daryl's customers, because there are none yet to measure.

Primary: owner-operators of professional, scientific, and technical services firms with 0–19 employees (about 4.83 million firms), aged roughly 30–54, degree-holding, already using a chatbot at work, without budget for a human consultant.[1],[10],[12],[13],[15]
Why it matters: This is where every signal points the same way: the largest small-business sector, the highest sector-level AI adoption, the age and education bands with the most existing chatbot use, and a job that consists of the knowledge work AI handles well.
Secondary: the 5.6 million independents earning over $100,000, who choose and pay for their own tools and have no employer-provided training.[5],[14]
Why it matters: They have the income, the autonomy, and — at 30 percent frequent-use rates across the workforce — a meaningful share already use AI often enough to value a specialised tool.
Tertiary: new founders among the roughly 5.67 million annual business applicants, at the moment they need a plan, a stack, and a first training path together.[3],[4]
Why it matters: Ask Daryl's business-plan and tool-comparison functions match a founder's first ninety days. The weakness is churn: many applications never become operating businesses, and a founder who fails leaves.
Channel segment: revenue and partner teams at ConnectPro's own training clients, where Ask Daryl can be bundled with live training rather than sold cold.[21]
Why it matters: This is the only segment ConnectPro can reach today without paid acquisition. It is also the only one where a before-and-after time log can be collected under supervision, which is the evidence every other segment will eventually ask for.
Weak fit, stated for the record: firms with four or fewer employees that have not yet used AI (the majority of that size band, per BTOS); retail and transportation owner-operators; and firms of 20 or more employees, which are increasingly served by enterprise AI contracts.[1],[10]
Why it matters: Selling to non-users requires changing a habit before selling a product, which is expensive. Larger firms are being bought for by IT, not by the owner. Naming the weak segments avoids spending on them.

7. The Competitive Reality And The $20 Anchor

The buyer described above already has two alternatives: a general-purpose chatbot for about $20 a month, and human mentoring for free. Any pricing decision starts there.

ChatGPT Plus is priced at $20 per month, with a lower Go tier at $8 and a free tier; Claude Pro is $20 per month ($17 billed annually). Google AI Pro is listed at $19.99.[18],[19],[20]
Why it matters: Twenty dollars a month is the established consumer price for frontier-model access. A specialised consultant built on the same class of models must justify any premium through the workflow, guarantees, and training it adds — not through the underlying intelligence, which the buyer can already rent.
SCORE mentors, an SBA resource partner, offer business advice at no cost by email, telephone, and video, and Small Business Development Centers provide free individualised consulting.[22]
Why it matters: The free human alternative is real and government-backed. Ask Daryl's advantage over it is availability (24/7, no appointment) and consistency, not price. Marketing that ignores SCORE and SBDCs will look uninformed to the owners who already use them.
Ask Daryl's stated differentiators — saved playbooks, side-by-side tool comparison, business plans with the equations shown, before-and-after time logs, structured modules, and the seven-part answer standard — are features a general chatbot does not package, but a motivated user can approximate with prompting.[21]
Why it matters: The honest positioning is convenience and discipline, not capability the buyer cannot otherwise get. Buyers in the primary segment are sophisticated enough to know this, so the pitch should say it first.
No cited source measures whether small-business owners will pay more than $20 a month for a vertical AI consultant. That number must come from a priced test with real buyers, and this report does not supply it.
Why it matters: Guessing a price here would be the kind of exaggeration the product itself promises not to make.

8. What This Report Does Not Claim

Stated plainly, so nothing above is read as more than it is.

No market size in dollars. The counts above are of businesses and people, not of spending, and no cited source estimates spending on AI consulting by small firms.
No conversion, retention, or willingness-to-pay figure. Stated demand for training in surveys is not evidence that anyone will pay for a specific product.[8],[9],[17]
Adoption figures differ by source because definitions and samples differ. The Chamber and Goldman figures measure owners who have used generative AI; the Census figure measures firms using AI in a business function; the Goldman sample is drawn from program participants. All are reported; none is treated as the single truth.[6],[8],[10]
The 2025 annual business-application total is taken from a secondary compilation of Census data, not from a Census annual press release located during this research, and is flagged accordingly.[3],[4]
Ask Daryl's capabilities and guarantees are first-party descriptions. No third party has evaluated the product, and this report does not claim it outperforms general chatbots or free mentoring.[21]
Segment recommendations in section 6 are ConnectPro's analysis. They are a hypothesis to test with priced offers, not a finding.

Sources & Citations

Sources were retrieved and checked in September 2026. Publishers revise reports and pricing pages, so figures may change after that date. Where surveys disagree, all figures are shown with their definitions rather than the most favourable one.