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Dear friend,
I have spent well over a decade in online marketing, and most of it has been spent doing the same unglamorous thing on repeat: watching a business struggle, finding the one broken process underneath it, and fixing that one thing.
Almost every time, it comes down to the same root cause: no real system. Just guesswork dressed up as a strategy.
The businesses that turn it around are not the ones with more hustle. They are the ones who finally get a process they can follow the exact same way every single time, and get the exact same result.
That is the whole idea behind this page. Building that process yourself is slow. Months of testing, half of it wasted. I already did that part. This hands it to you finished.
If any of that sounds familiar, the problem was never you. It was never having a process specific enough to just follow.
I am not describing theory here. These are the processes I run my own business on.
Whatever I am using in my own business right now goes into IM Checklist AI. Not the version I used three years ago. The current one.
Think of it as looking over my shoulder while I work, except every step is written down for you to follow at your own pace.
1,536 checklists, covering every marketing task worth doing, every one rewritten this year so it reflects how marketing actually works in 2026, AI workflows included. And it does not stop growing: a new volume lands every month, and it is already yours the day it does.
Checklists beat courses for one reason: there is nowhere to get lost. No forty-minute video to decode into three actual steps. Open it, follow it in order, tick the box, move to the next one.
And because every checklist ships with Full Private Label Rights, you are not just getting a process to follow. You are getting a finished product to sell. Rebrand it, resell it, give it away to grow your list, whatever you want. It is yours.
This page covers Volume 81: AI Powered Chatbots. But your $3 trial does not stop at this one volume. It opens every single one of the 84, starting today.
Not a checklist app. Not fifty bullet points with no context. A real, finished document you can start using in the next five minutes.
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A customer-facing chatbot is a member of staff that never sleeps, so it deserves the same clarity of job description you would give a new hire.
The chatbot platform market splits into clear categories now, and picking the wrong category costs more time than picking the wrong brand within it.
A conversational flow is the actual product the user experiences, no matter how good the platform or the AI model underneath it is. This checklist walks you through mapping the conversation before writing a word of dialogue, then building the opening, the core paths, the fallback handling and the closing steps in order.
A chatbot that talks to customers but never writes anything back to your CRM is a missed opportunity: every conversation is a data point about a lead, a customer, or a problem, and that data should end up somewhere useful automatically.
A chatbot that remembers who it is talking to, and why, feels dramatically more useful than one that starts from zero every single time. This checklist covers using the customer data you legitimately hold to personalize greetings, recommendations and follow-ups, without tipping into the kind of surveillance-feeling personalization that makes users uneasy.
Modern chatbots understand free-typed sentences instead of forcing users down rigid button menus, and that shift comes from natural language processing, usually built on top of a large language model today rather than the older rules-only engines of a decade ago.
A chatbot that hasn't been properly tested is a live experiment on your actual customers, and the failures show up in public conversations, not a private log.
You cannot improve what you don't measure, and a chatbot without proper analytics is running blind no matter how well it was designed at launch.
An e-commerce chatbot earns its keep when it does more than answer questions: it recommends the right product, recovers an abandoning cart, and answers the order-status question before it becomes a support ticket.
Customers don't think in channels, they think in questions, and they expect to ask those questions wherever they happen to be: your website, a messaging app, or social media.
Where Checklist 3 mapped the shape of the conversation, this checklist is about the actual words inside it: the specific lines that make a bot feel helpful instead of robotic.
A chatbot routinely handles names, emails, order details and sometimes payment or account information, which makes it a genuine data-handling system, not just a marketing widget.
A chatbot is not a set-and-forget asset. Products change, policies update, and the questions customers ask shift over time, and a bot that isn't maintained quietly drifts from useful to outdated without anyone noticing until a customer complains.
Simple FAQ handling gets a bot most of the way there, but the questions that actually cost your team time are the layered ones: multi-part requests, unusual phrasing, or a question that only makes sense in light of an earlier answer.
A chatbot built for lead qualification works around the clock, asking the same good questions every single time without getting tired or skipping steps.
AI-powered support doesn't replace your support team, it removes the repetitive first layer so your team spends its time on the problems that actually need a person.
A well-built chatbot that nobody notices delivers zero value, no matter how good the scripts and integrations behind it are. This checklist covers making sure real customers actually find and use the bot, prompting them at the moments they're most likely to need it, and building internal buy-in from the team members whose workflows the bot touches.
Every checklist in this volume points toward one question: are the people talking to this bot actually satisfied with the experience? This final checklist covers setting up satisfaction tracking properly, reading real conversation transcripts for the gaps that numbers alone hide, closing the feedback loop back into the knowledge base and scripts, and building a habit of continuous improvement rather than a one-time launch.
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Exactly 1,536 step-by-step checklists across 84 volumes, as of today. New checklist volumes are released every month, and every one is included with your membership.
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P.S. I skip to the end of long pages too, so here is the entire pitch in one breath:
$3 unlocks all 84 volumes of IM Checklist AI, 1,536 step-by-step checklists rewritten for 2026, in printable PDF, editable Word and interactive tick-box formats.
Every checklist ships with Full Private Label Rights. Rebrand it, resell it, give it away, build a product on it, whatever you want. It is yours the moment you download it.
Your trial runs 7 days at $3, then $17.95 a month, cancel whenever you like, and you have fourteen days for the guarantee to kick in if it is not what you expected.
That is the whole offer. No fine print hiding underneath it.
To your success,
Kevin Fahey
$3 gets you every one of the 1,536 checklists across all 84 volumes, starting today. Work through them for two full weeks. If they are not everything I just described, ask for a refund and you get every cent back, no argument.
Full access to all 84 volumes for 7 days, then $17.95 per month. Cancel anytime.