Joe Gannon

LinkedIn is free, but the time spent on it is not, and for a local business paid ads or flyers can be more useful.

• Joe Gannon admits falling into the trap of defaulting to social media because content is the industry they work in.
• The decision rule they give prospects is two questions: can content help your business, and if it can, how?

A cohort member moved from an online business-coaching company to a local pressure-washing service and asked whether to stay on LinkedIn. Joe Gannon's answer was maybe not, because the customers were now local.

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The fix is not to keep every task but to hand over a defined outcome and approve when needed.

• The AI examples are deliberately bounded: lead handling and reporting in one case, everyday branded design assets in another.
• In the design post, Joe Gannon draws a line at larger projects and says a designer would still be involved.

An AI employee named Viktor lives in Slack, checks inbound leads from email and booking forms, adds missing leads to the CRM, and builds a monthly lead chart.

• Joe Gannon says this returns roughly two hours a day and calls admitting they were the bottleneck the hardest part.
• In a separate post, Arti by Lovart AI remembers brand guidelines and creates LinkedIn carousels and branded graphics, while Canva work or waiting two to three days for a freelancer are the alternatives for everyday design.

The design post extends the AI-operations idea from back-office lead work into brand assets, but with a stated limit: bigger projects still call for a designer.

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The reasoning is that a creator who already uses and likes a product will talk about it without being chased, and that product quality plus human support is what makes that possible. The relationship is not framed as a transaction in the post; the label says #CirclePartner.

A jersey with GANNON on the back arrived from Circle with no ask and no brief.

• Joe Gannon had been a Circle customer since launching an online cohort and course the previous year, chose the product because it tested better than alternatives, and points to customer success, sales, and creator management as interactions that felt like talking to humans who care.
• The gift arrived during the World Cup.

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The method is to care deeply about the subject before it is a job, then volunteer for unfamiliar tasks and stay available for what the people you admire care about. Nobody expects you to know everything.

Before working in the creator space, Joe Gannon spent evenings and weekends watching YouTube, listening to podcasts, and reading books about people building businesses online. When opportunities came, they volunteered for things they had never done and described themselves as a buzzing bee who was in people's faces and available for everything they cared about.

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The evidence is a set of near-misses where the feared action led to a major part of their current work. The instruction is not to feel no fear but to do it scared.

Joe Gannon nearly did not email Ali Abdaal for coffee, nearly did not start a business while unemployed during Covid, and nearly said no to a TEDx talk because public speaking was their biggest fear. The email led to three years working on Ali Abdaal's content, the business became five years of running Amplify, and the talk happened in a room of about 100 people.

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The format makes the advice feel like a field note rather than a lecture, and it leaves room for personal posts alongside business ones.

Posts open with lines such as I'm afraid to admit this, Don't be on LinkedIn, and You can't manufacture 10 years of experience when you're 21. The Grand Canyon post is a lighter personal note about a Monday with no email, meetings, or Slack notifications.

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Start here to see Joe Gannon's channel-fit logic in plain terms.

Joe Gannon tells a cohort member who ran an online business coaching company and then started a local pressure-washing service that LinkedIn may not be worth the time.

• The reason is that the new customers are local, and the platform is free while time is not.
• Joe Gannon suggests paid ads or flyers could be more useful and asks two questions before choosing a channel: 'Can content help your business?' and 'And if it can, how?'

For brands planning a campaign

A creator-economy SaaS company can turn this into a short piece on channel fit for course creators and local operators, using Joe Gannon's two-question diagnostic as the spine.

A newcomer can see the bottleneck, the workflow, and the claimed time return in one post.

Joe Gannon describes hiring an AI employee called Viktor that lives in Slack.

• Viktor checks inbound leads across email and booking form submissions, adds leads not already in the CRM, and builds a monthly lead chart.
• Joe Gannon says this returns about two hours a day and calls the harder problem 'admitting I'm the bottleneck.' The post is marked as a partnership with Viktor.

For brands planning a campaign

For an AI operations or CRM product, this is a concrete founder-bottleneck story: lead capture, CRM hygiene, and reporting in one workflow.

It is the clearest example of Joe Gannon explaining brand advocacy from a customer's point of view.

Joe Gannon writes about being a Circle customer since launching an online cohort and course the previous year.

• A jersey arrives with 'GANNON' on the back.
• There was 'No ask.
• No brief.' Joe Gannon says the product was better than alternatives tested and that customer success, sales, and creator management felt like 'talking to humans who actually care.' The post carries the #CirclePartner label.

For brands planning a campaign

A SaaS brand can use this as a starting point for a piece on product-led advocacy: support and creator management matter before a brief.

It shows the exact everyday design tasks that fall between doing it yourself and hiring a freelancer.

Joe Gannon admits that wearing multiple hats as a founder is exhausting, especially design, because brand visuals need consistency but there is not always enough work for a full-time hire.

• The two options are doing it in Canva and losing hours or hiring a freelancer and waiting 2 to 3 days for a minor change.
• Joe Gannon says they are testing specialist AI agents, including Arti by Lovart AI, which remembers brand guidelines and creates LinkedIn carousels and branded graphics; bigger projects still need a designer.

For brands planning a campaign

For an AI design tool, this shows the gap between self-serve templates and human specialists, with a clear use case for recurring branded assets.

It gives specific turning points rather than generic motivation.

Joe Gannon lists three chances to let fear decide: nearly not emailing Ali Abdaal for coffee, nearly not starting a business while unemployed during Covid, and nearly saying no to TEDx because public speaking was a biggest fear.

• The email led to three years working on Ali Abdaal's content, the business became five years of Amplify, and the TEDx talk happened in a room of 100 people.
• The lesson: 'Do it scared.'

For brands planning a campaign

A creator-economy SaaS company can use this for a founder-story piece on cold outreach, risk, and long-term partnerships.

It is the most direct post on Joe Gannon's early-career method.

Joe Gannon says at 21 you cannot manufacture 10 years of experience, but you can be 'enthusiastic as hell.' Joe Gannon was obsessed with the creator space before working in it, spent evenings and weekends watching YouTube, listening to podcasts, and reading books, then volunteered for unfamiliar tasks and became 'a buzzing bee' available for what people cared about. Enthusiasm opened doors.

For brands planning a campaign

For a platform serving early-career creators, this supports a piece on community, volunteering, and turning curiosity into work.

Because the customers changed, the advice changed: LinkedIn is free but the person's time is not, and for a local business paid ads or flyers would do more. Gannon notes he falls into this trap himself because content is his industry, and he reduces the decision to two questions he asks prospects: can content help your business, and if it can, how?

For brands planning a campaign

A content, course, or platform company can use this as the anchor of a piece on picking channels by business model rather than by habit.

• It supports a message that a given tool is one honest option among SEO, referrals, and ads, which fits an audience of course creators and founders who are weighing spend.
• The example is strong because it ends in advice not to use the channel he publishes on.

Examples: Source 1

He is 29 and says the hardest part of growing is admitting he is the bottleneck, then describes the fix: an AI helper named Viktor, reached through Slack, that checks inbound leads from email and booking forms, adds anyone missing to the CRM, and builds a chart of leads by month.

• Work that once meant checking several places, updating the CRM, and pulling data now runs on an outcome he states and approves.
• The post is labeled a partnership with Viktor and includes a credit offer.

States a measurable result first, then the personal admission behind it, then the step-by-step job the tool performs.

For brands planning a campaign

This is the closest thing in the reviewed material to a live product walkthrough with named tasks and a measured result, which suits a creator-economy SaaS selling operational or AI tooling. A brand should expect a specific workflow and a stated time saving rather than general enthusiasm, and should note that he credits the tool with defined tasks, not with running the business.

Examples: Source 1

He says he is testing specialist AI agents for that gap, naming Arti by Lovart AI, which takes brand guidelines and previous assets and produces items such as LinkedIn carousels and branded graphics without starting over.

He explicitly keeps a human designer for larger projects, so the same post is not a blanket endorsement of AI replacing design work.

For brands planning a campaign

Useful for teams selling design, brand-asset, or AI tools to small marketing teams, since he frames the buyer problem before the product.

• The value to a brand is that he states where the tool stops: for bigger projects he would still want a designer involved.
• That restraint makes a demonstration or tutorial format credible with an audience that cares about consistency.

Examples: Source 1

He says he has been a Circle customer since launching an online cohort and course the previous year, chose the product because it tested better than alternatives, and lists customer success, sales, and creator management as interactions that felt like talking to people who care, pointing to email tone, remembered details, and a personalized gift during the World Cup. His conclusion is that when a product is strong and the company is a pleasure to work with, creators talk about it without being chased.

Tells the story of a gift, then generalizes about why some brand relationships do not feel like brand relationships.

For brands planning a campaign

This is direct supporting evidence for the brief on authentic brand relationships: he describes a software relationship that started as a customer decision and then became a public recommendation, with a payment or partnership hashtag attached. A short video or written piece on that arc would match what he already publishes, and a vendor in the creator-software category should expect to be judged on product and support quality rather than on a brief alone.

Examples: Source 1

One lists three things fear nearly stopped: emailing Ali Abdaal for coffee, which he says led to three years working on Abdaal's content; starting the business while unemployed during Covid, now five years of running Amplify; and accepting a TEDx talk despite public speaking being his biggest fear, performed to a room of about 100 people. The other is aimed at people early in their careers and describes being obsessed with the creator space before it was his job, watching YouTube, listening to podcasts, and reading in the evenings, then volunteering for anything when opportunities came, and being a persistent, available presence.

For brands planning a campaign

These posts suit programs, communities, or services aimed at founders and creators starting out, and they establish the personal story behind the practical advice. They are lighter on operating detail than the AI and channel posts, so a campaign that needs tooling specifics should pair them with the other items rather than build on them alone.

Examples: Source 1 · Source 2

The body then moves through a numbered set of options or a short list of moments before landing on a stated lesson or question. Two posts are lighter personal notes, including one about spending a Monday at the Grand Canyon with no email, meetings, or Slack.

For brands planning a campaign

A brand can predict the shape of what it would get: a hook, a personal example, and a takeaway, at a length built for a LinkedIn feed rather than a long-form tutorial.

• Messages that need step-by-step documentation or heavy visual assets will need a different format or an added asset.
• The lifestyle post shows that not every slot is a business post, so a campaign plan should not assume every piece will carry a product.

Examples: Source 1 · Source 2 · Source 3 · Source 4

The post is written as a public partner endorsement of a vendor he also pays for, and the label is the only disclosure it carries.

Original disclosure

#CirclePartner

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The post closes with a signup link and a partner disclosure, so it is both a working example and a promoted product.

Original disclosure

In partnership with Viktor. #AIemployee

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The post does not state whether the promotion is paid or what the arrangement is, so the commercial relationship is treated as unstated.

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He refers to growing Amplify and to running it for five years, and describes hiring and AI tooling as ways of getting time back as it scales.

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The post does not describe the formal arrangement behind that work.

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Arnoux works at the level of revenue teams and enterprise build-versus-buy decisions, while Gannon's examples are one-person founder tasks and creator-business marketing.

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Fuller's subject is CRM and process cleanup for service businesses, and comedy is the main device; Gannon's subject is creator-economy marketing and AI tooling.

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Shulton's field is textiles and garment production for design and buying professionals, so the overlap with Gannon is the teaching method rather than the subject.

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The two posts work through a real decision.

• A client's RevOps team was losing deals and getting forecasts late; they applied a build-versus-buy test — if the job needs your own logic, build it, if it needs reliability across the team's tools, buy it — and hired an off-the-shelf agent into Slack.
• The post then lists what the agent now owns: an overnight read of every open deal that posts a pipeline review before Monday standup, forecast gaps flagged the day they appear rather than at month end, and CEO drill-down requests answered in Slack in about 90 seconds with the source attached, which gave the sales ops manager her evenings back.
• The summit post adds a first-hand read on where the work is heading: teams working out of Claude Code, companies building second brains, headless interfaces on the adoption curve, enterprise prototypes live in two weeks, and the argument that distribution matters most in a world where everyone builds.
• If the brief is practical lessons on AI-driven operations, this is the operator's version of it, with a second live workflow on top of the one Joe Gannon describes.

The tradeoff is subject and audience.

• David Arnoux writes for GTM, RevOps, and commercial leadership, not for course creators and founders deciding whether to publish a partner story, and none of the reviewed material touches brand relationships, creator advocacy, or how a product earns an unprompted recommendation — which is the centre of this campaign brief.
• The AI material is also argued more aggressively than Joe Gannon's: calling the human in the loop a myth is a real position, and it may not sit well with a small-team audience that wants approval steps it can point to.
• The agent post carries a sponsored disclosure and a sign-up offer, so it is commercial content in the same category as Joe Gannon's partner posts rather than neutral analysis, and one of the two posts is a conference recap rather than a client story.

Examples: Source 1 · Source 2

Both posts show the method.

• One takes a single object — a 1955 Chanel wool tweed suit in burgundy and navy — and explains the technical problem inside it: the knitted wool jersey on the lapels, cuffs, and pocket trim behaves differently from the woven tweed of the jacket through manufacturing and cleaning, and that combination fails unless it was thought through at the design stage.
• The teaching point then lands on the people who decide: designers, buyers, and product technologists.
• The second post is a discovery story with names, a place, a shop, a founder's family connection, and a product woven and hand-made in Scotland, ending with a recommendation to visit.
• A guide-style or educational deliverable for a specialist audience draws on a demonstrated teaching format that neither Joe Gannon nor the other alternatives show as directly.

The tradeoff is the whole subject.

• Textiles, garment construction, and made-in-Britain manufacturing have no overlap with creator-economy software, brand partnerships, or AI-run operations, so a reader arriving from this campaign brief would get a different topic from a creator in an unrelated market, and there is nothing in the reviewed material about sponsored work, partnerships, or audience composition.
• The reviewed posts also date from February and April 2024, more than two years older than the material reviewed for the other names, so there is no evidence of current publishing activity or of the formats a buyer would commission for a 2026 campaign.
• The posts are short, and the second is a personal encounter rather than a client result.

Examples: Source 1 · Source 2

The two posts do one thing well.

• One answers the objection "I'm too small to need a CRM" in plain language, opening with the picture that CRM sounds like a sales department with matching lanyards and a man called Clive who says "let's circle back," then giving the concrete failure: one lead in Instagram DMs, another in an enquiry form, a third in a reply to a launch email, and no memory of whether the follow-up was for Sarah, Sophie, or the woman whose profile picture had a dog in it.
• The second addresses the embarrassment of showing someone a messy setup — three versions of the same client, a pipeline untouched since February, one automation nobody dares touch — and reframes it as a business that has changed rather than a personal failing.
• For an audience of course creators and solo founders being asked to adopt a platform or tidy their process, that reassurance is the useful part, and it is closer to Joe Gannon's own audience than either other alternative.

The tradeoff is the type of proof.

• These posts explain and reassure; they do not report a first-hand operational result the way Joe Gannon's Viktor post or David Arnoux's agent deployment does, and there is no measured outcome anywhere in them.
• There are no disclosed brand partnerships, no AI-agent work, and no creator-economy content in the reviewed posts — the material is CRM and systems practice for small service businesses.
• That makes the shortfall sharper rather than softer: the audience is the closest match of the three, but a reader who wants to see how a creator actually runs a partnership or an AI workflow would not find it here.
• Two posts are a small sample of tone, not a picture of the body of work.

Examples: Source 1 · Source 2

David Arnoux is the stronger choice only if the client decides the AI-operations half matters more than the brand-relationship half.

• Deborah Shulton is the stronger choice only if the client changes topic and folds a specialist educational piece into the campaign.
• Olivia Fuller is the stronger choice only if the client narrows the audience to the smallest solo operators and accepts explanation in place of demonstrated partnership work.
• If none of those substitutions is acceptable, Joe Gannon remains the better match, because the Circle post is the only reviewed piece that shows a creator describing a product they already pay for and would talk about without being asked.

Each substitution cost is real: Arnoux trades the creator-relationship subject for operational depth, Shulton trades the entire sector, and Fuller trades demonstrated partnership proof for the closest audience fit. The overall gap behind all four entries is the same — no audience composition, rate card, or sponsored-performance data was supplied for any name, so the recommendation rests on subject, format, and tone rather than measured reach.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6