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WEDNESDAY, OCTOBER 7, 2026
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📗 Free Guide · Just Released
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You Don't Have a Reputation Problem. You Have an AI Visibility Problem.
When a client asks ChatGPT, Gemini, or Perplexity to recommend a firm like yours, AI doesn't pick the best business: it picks the one it can recommend with confidence. Every business now has two reputations: the one your clients know, and the one AI assembles from your digital footprint. AI Searchability breaks down the four signals AI weighs before it recommends you, and how to make sure the reputation you've earned is one it can actually see.
| ▶ Why respected firms are going invisible to ChatGPT, Gemini & Perplexity |
| ▶ The 4 Pillars of AI Readiness, and which one carries the most weight |
| ▶ How to turn the reputation you've earned into evidence AI can verify |
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Every week we break down practical uses of AI to build smarter systems and scale faster, resulting in more profitable workflows in your business.
Trending this Week:
A friend who runs a small marketing shop showed me a folder last week. Forty ad variations, a dozen video cuts, two full landing page drafts, and a page of email subject lines, all generated in a single afternoon. Then she asked the question that actually mattered: which of these is any good?
That question is getting louder everywhere. AI can write the ad, cut the video, summarize the customer interviews, and even predict which version people will click. Making things has gotten cheap and fast. Deciding what deserves to go out the door has gotten harder, because there's so much more to sort through.
So the edge is moving toward judgment. Knowing your customers well enough to pick the strongest idea, and trusting the AI you rely on enough to act on what it hands you. The businesses pulling ahead are the ones getting sharper at both. MORE
Today's Issue:
| ▶ Tools for testing ideas before launch and turning raw footage into finished content |
| ▶ New SAS research linking strong AI governance to much bigger returns |
| ▶ A 10-minute exercise for writing your own AI rulebook |
This week is about judgment: how to tell what's actually good when AI can make almost anything.
Let's get into it. 👇
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🚀 AI TOOLS OF THE WEEK
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Tool #1
Decode by Entropik
Summary
Decode is an AI-powered platform for UX and market research. You can run AI-moderated interviews, usability tests, prototype studies, concept tests, and shopper research, and you can gauge how an ad is likely to perform before it ever launches. It also layers in webcam eye tracking along with facial and voice emotion analysis, so you pick up signals participants never say out loud.
Why It Matters
Guessing is the most expensive habit in marketing. Decode gives you a way to put an idea in front of real people before you commit budget to a campaign, a product, a landing page, or a new customer experience.
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Scott's Take
"AI made it easy to create more marketing. The next advantage is getting better at deciding what's worth creating at all. If you can see how people react before you spend thousands pushing an idea into the market, that's money you get to keep."
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Tool #2
Flicka
Summary
Flicka is a screen recorder that runs in your browser and adds cinematic zooms automatically by following your cursor. You can trim and edit recordings on a timeline and mark up screenshots with annotations, then export finished files as video (MP4 or WebM) or as a GIF. You don't need to install anything or create an account, and your recordings get processed right on your own device, which matters if you're capturing anything sensitive.
Why It Matters
Screen recordings do more work than most people give them credit for. The same capture can become a product demo, a social clip, customer onboarding, sales material, a support video, or a quick explanation for your team. Flicka gets those recordings looking polished without adding a whole video editing workflow to your week.
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Scott's Take
"I've talked a lot about showing instead of explaining, and this is a good example of it. If your product or process makes more sense when someone watches it happen, a clean 60-second demo can do more selling than another page of copy."
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Tool #3
Supacut
Summary
Supacut is built for documentary and interview editors with hours of footage to get through. It flags strong soundbites, groups footage by theme, compares answers across interviews, suggests possible narrative directions, and generates an editable rough cut. When it's done, editors export the work and keep refining it in the editing software they already use.
Why It Matters
Anyone who's edited interview content knows where the hours disappear: hunting for the handful of great moments buried in the footage. Supacut takes over most of that searching and sorting, so creators can spend their energy deciding what story they want to tell.
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Scott's Take
"This is the kind of AI use I like best. Let the machine do the tedious searching while you make the creative calls. AI can surface ten possible great moments faster than you ever could, and you still decide which one belongs in the story."
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Sponsored
You can’t afford to be silent on ChatGPT, Gemini, or Perplexity find out why
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📖 AI IN THE REAL WORLD
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Strong AI Governance Is Linked to Much Higher ROI
According to a new SAS study of 2,699 business leaders across 28 countries, the way a business manages its AI has a lot to do with the returns it reports. Organizations with strong practices around AI governance, data quality, oversight, explainability, and accountability were 15 times more likely to report strong or high AI ROI than organizations with weaker practices.
Trust showed up in the data too. According to the same SAS study, 97.2% of respondents said they override AI recommendations at least occasionally, and the leading reason was a lack of explanation behind what the AI decided.
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Scott's Take
"The lesson for small business owners is simple: using more AI doesn't automatically mean getting more value from it. As you hand AI more customer data and more of your day-to-day decisions, you need clear rules about what it's allowed to do and where a person has to check the work before anything moves. A little structure might be exactly what gets you more out of it."
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⚡ AI GROWTH HACK OF THE WEEK
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Write Your 10-Minute AI Rulebook
The Strategy
You don't need a 50-page corporate AI policy. Start with one page covering the AI tools your business already uses, then let AI help you turn your notes into rules your team will actually follow.
1. List what AI can handle. Write down the tasks you're comfortable handing to AI today, like first drafts, meeting summaries, research outlines, or social captions.
2. Name the off-limits information. Note what should never go into an AI tool, such as customer payment details, passwords, employee records, or anything covered by a confidentiality agreement.
3. Mark the human checkpoints. Decide which outputs a person has to review first, especially anything going out under your business's name or feeding into a real decision.
4. Have AI draft the rules. Paste your notes into the prompt below and let AI shape them into a one-page guide. Then read it yourself and cut anything your team wouldn't actually follow.
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The AI Prompt to Steal
"Act as an AI operations advisor for my small business. Help me create a simple one-page AI usage guide for my team.
We currently use AI for: [LIST USE CASES]
Our business handles this type of customer and company information: [DESCRIBE INFORMATION]
Write clear guidelines covering what employees can use AI for, what information should never be entered into an AI tool, which outputs require human review, how employees should verify important AI-generated information, and when AI shouldn't be used at all.
Keep the rules specific and simple enough that an employee can understand them in five minutes."
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Why This Works
As AI touches more parts of your business, a few simple rules keep small mistakes from turning into expensive ones. They also give your team confidence. People know where AI can help and where their own judgment still counts, and you get there without turning AI adoption into a compliance project.
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Wrapping Up
Decode helps you test an idea with real people before you spend money on it. Flicka and Supacut help you polish the content once it exists. All of them point at something I keep coming back to: speed only pays off when someone is still judging what's good. The businesses getting the most from AI still bring real judgment about their customers and about what deserves to move forward.
The SAS research adds another layer. As AI takes on more responsibility inside a business, trust and oversight have to grow right alongside speed and automation. The companies that put some structure around their AI are the ones reporting the strongest returns.
You don't need enterprise-level governance to start. Write down a few clear rules and decide where a person stays in the loop. That's enough to make sure AI is raising the quality of your business instead of only piling more work onto everyone's desk.
Keep profiting,
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Keep profiting,
Scott Hall
AI Profit Letter
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