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Austin, Texas, United States
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Articles by Kaleigh
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Your Best Ideas Are Invisible to AI Until You Label Them
Your Best Ideas Are Invisible to AI Until You Label Them
If you open ChatGPT, Claude, or Perplexity and type: "Explain Jobs to Be Done theory," you'll get Harvard professor If…
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10 Comments -
LinkedIn's AI search impact, by the numbersMay 21, 2026
LinkedIn's AI search impact, by the numbers
We've been talking about execution and attribution of the Source Signal Stack for several weeks now, so today, I want…
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16 Comments -
How to answer "Is AEO Helping Drive Lead and Sales?"May 14, 2026
How to answer "Is AEO Helping Drive Lead and Sales?"
In the last two editions of this newsletter (here and here), I made the case for two of the most underused Source…
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11 Comments -
Leveraging Creators on LinkedIn to Improve AI Search VisibilityMay 7, 2026
Leveraging Creators on LinkedIn to Improve AI Search Visibility
Last week, I made the case that external B2B creators on LinkedIn can anchor and supplement Layer 3 of the Source…
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29 Comments -
B2B Creators as a Supplement to Employee SMEs on LinkedIn: The Hybrid Model for AEOApr 30, 2026
B2B Creators as a Supplement to Employee SMEs on LinkedIn: The Hybrid Model for AEO
Last week, I published a piece on the Source Signal Stack, a four-layer framework for thinking about which content…
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20 Comments -
The AEO layer nobody is working onApr 23, 2026
The AEO layer nobody is working on
You've read the AEO playbooks, and you understand what needs to happen: Your employee subject matter experts (not just…
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43 Comments -
Your Employee Experts are Untapped AI Search PotentialApr 16, 2026
Your Employee Experts are Untapped AI Search Potential
Here’s a stat from AirOps that should make every B2B content team genuinely uncomfortable: 85% of AI citations come…
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AI Is Creating B2B Content MonocultureApr 9, 2026
AI Is Creating B2B Content Monoculture
AI content is still newish on the scene, but it's already making B2B content all blend together. You know what I’m…
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Ranking vs. Citation Rate: Where's the connection?Apr 2, 2026
Ranking vs. Citation Rate: Where's the connection?
Last week, I ran a quick experiment. I pulled the top 20 traffic-driving pages from a client's blog.
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How to get your SaaS content cited in AI overviewsMar 24, 2026
How to get your SaaS content cited in AI overviews
First things first: This newsletter has a new name! Welcome to Context Window, where I'll be sharing everything I'm…
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Activity
14K followers
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Kaleigh Moore shared thisOne thing I see many marketing leaders in B2B SaaS getting backwards right now: they're pouring budget into the layer LLMs discount the hardest (brand-owned content) and leaving the layers that *actually* drive citations wildly underutilized. If you’ve been following me for a while, you know this idea is rooted in my framework called the Source Signal Stack, which are four layers of what ChatGPT, Perplexity, Claude, and Google AI Mode cross-verify before they decide who to cite: 1️⃣ Brand Signals — your blog, your website, your company LinkedIn page 2️⃣ Executive Signals — your CEO publishing under his/her own name 3️⃣ SME Signals — your employee experts publishing under theirs 4️⃣ Community Signals — earned mentions, peer shoutouts, customer advocates The main idea here is that the further a signal sits from brand control, the more weight (and trust) LLMs give it. So why does every "AEO strategy" stop at Layers 1 and 2? We have GOT to start thinking about this as a multi-channel strategy that extends well beyond scaling up AI-generated blog content for keywords. The data is brutal here: → 85% of AI citations come from third-party platforms, not brand sites → On ChatGPT and Google AI Mode, 59% of cited LinkedIn content comes from individual members, not company pages → 96% of B2B companies create thought leadership… but only 37% involve their actual experts Most companies have a content team, a CEO who posts sometimes, and an org chart full of experts who are completely invisible to AI. Activate 3-5 of those experts and a few long-term partnerships with B2B creators or influencers, and you’ve got a much larger surface area for citation opportunities. I’ll drop the full deep dive on this below.
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Kaleigh Moore shared thisThis is me thinking about how cool it would be if you joined my newsletter to learn about AI search from me: https://lnkd.in/evMHMCQH
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Kaleigh Moore shared thisI haven't hired a single full-time employee, but my business output (and income) has never been higher. 📈 I'm up 108% income-wise year-over-year, in fact! That is thanks, in large part, to the fact that 7.5 weeks ago, I added an AI coworker to my Slack (viktor.com.) Together, we’ve accomplished: → 60+ tasks → 3 landing pages built from scratch → 15+ brand assets designed → 7+ video concepts → 50-80 hours of work The wildest part? In one afternoon, Viktor helped me launch my landing page for a cohort program where I sold seats for a 90-day sprint teaching marketers how to leverage subject matter experts for AEO efforts (and that generated $6K in revenue!!) That used to take me and a designer 2-4 weeks to get live (and several thousand dollars.) Here's what people get wrong about AI: they think it replaces your thinking. It doesn't think FOR me; it thinks WITH me. I still own the strategy, the angles, and the creative judgment, while the AI handles production, design, research, drafting, and deployment. (AKA the stuff I’m not good at!) Is it perfect? No. But it's pretttttty dang close. If you're a solopreneur or small team trying to scale output without scaling headcount, GO TRY VIKTOR: https://t.co/jwK6BVB6ZR
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Kaleigh Moore shared thisYour best ideas are invisible to AI until you label them. Clayton Christensen didn't invent the observation that people hire products to solve problems. But he named it "Jobs to Be Done," published about it under that name relentlessly, and now every LLM points at him when the concept comes up. Amanda Natividad did the same thing with "Zero-Click Content." Marcus Sheridan with "They Ask, You Answer." Rand Fishkin with "10x Content." None of them discovered the underlying phenomenon. They named it, owned the association, and let cross-platform repetition do the rest. Your unnamed expertise doesn't get that treatment; it gets absorbed into the model's general knowledge and used to construct answers (without ever pointing back at you.) Today's newsletter is all about why entity resolution is the prerequisite beneath every AEO strategy, how named frameworks cut through the AI content monoculture, and the three diagnostic questions that will tell you whether you're already sitting on something nameable. 👇Your Best Ideas Are Invisible to AI Until You Label ThemYour Best Ideas Are Invisible to AI Until You Label ThemKaleigh Moore
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Kaleigh Moore shared thisAI search isn't just a small-scale task for your marketing and SEO team to quickly "figure out" so you can tell the leadership team "Yep, we're working on AI visibility!" There's no "one tool" you can buy (see also: throw money at) that will suddenly/magically make your brand show up across different LLMs. The companies really nailing this work understand something most marketing teams haven't yet: They've stopped thinking about AI search as a *content* problem. Instead, they're building what I call the Source Signal Stack—four layers of signals AI models cross-verify before deciding who/what to cite. Layer 1: Brand Signals. The owned surfaces. Website, help docs, product pages. These are table stakes. Layer 2: Executive Signals. The CEO/founder doing thought leadership work. Once removed from the brand, but still a strong connection as the person steering the branded ship. Layer 3: Subject Matter Expert Signals. The layer almost everyone skips. These are your in-house experts publishing original perspectives under their own names, on podcasts, at conferences, in bylines (even here on Linkedin!) This is where LLMs find independent human sources to cross-verify against your brand claims. Layer 4: Community Signals. G2 reviews. Reddit threads. LinkedIn comments. YouTube tool reviews. Forum mentions. These are the third-party validation AI models trust the most (because your brand didn't publish it.) Most startups stop at Layer 1 and a thin version of Layer 2. AI models aren't looking for the company that published the most. They're looking for the one with the strongest, most consistent and verifiable signal breadth across independent sources. I wrote in depth about this in my newsletter...I'll drop it below in case you're intrigued.
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Kaleigh Moore shared thisIn 2026, I pivoted my business to focus on AEO for B2B SaaS after 12+ years writing about ecommerce, freelancing, and bylines in the world of retail journalism. The problem with this choice was that my historical bios across the internet still described the OLD me. And LLMs look to those bios as part of the entity graph they build around "who is this person, and what do they do?" That means: I have had to lean into the hard work of updating "who I am" across the internet so it reflects the current, accurate picture around my new focus. No small task!! Here's how I'm getting LLMs to recognize my *new* expertise (the unsexy way): I built a tool with Ahrefs Agent A that does the following: 1. Pulls every site where my bio appears 2. Ranks by Domain Rating 3. Identifies the right contact at each site 4. Auto-drafts a polite outreach email requesting the bio update From there, I chip away at my list by sending 3–5 emails per week. Results so far: ✓ 4 bio updates on DR 90+ sites ✓ Already shifting how LLMs verify my expertise ✓ Compounds every week with minimal effort If you’re also working to pivot your online presence, you can do this, too. Your team's distributed bios (guest posts, podcast pages, conference speaker profiles, contributor pages, etc.) are an under-managed AEO surface. The source signals they send about your expertise show up in AI answers about your category. Steal this idea, or build your own version with Agent A: https://lnkd.in/gUcJwRCc #AhrefsPartner
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Kaleigh Moore shared thisGiving a✌️to B2B SaaS companies who aren’t thinking about AI search efforts this way: AEO should be a HOLISTIC strategy that builds upon itself across departments, platforms, initiatives, and budgets. Companies doing this well aren’t asking "are we ranking for this keyword?" They're asking: → How are we showing up on LinkedIn for our topic? → What do our G2 reviews say? → Are our people on podcasts, at conferences, building backlinks? → What does our YouTube presence look like? → Are employees publishing original perspectives about their work that LLMs can cite? It's a strategic, cross-channel play. And it requires someone thinking at a high level about how all of those signals fit together. Here's the problem: most startups and smaller companies can't do this. Not because they don't want to. Because they're too deep in the weeds to zoom out. They don't have the resources, the headcount, or the bandwidth to think about AI search as an ecosystem instead of a checklist. AEO isn't a content tactic!! It's a visibility strategy that spans every surface where AI models pull information. Agree? Disagree?
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Kaleigh Moore shared this“Write longer LinkedIn posts so AI will cite you” is the worst writing advice of 2026. Yes, the data says 70% of LinkedIn posts cited by AI fall between 500 and 2,000 words. Yes, 800–1,500 is the “sweet spot.” And yes, people are already using AI to hit that target and tick the box, pushing out bland, repackaged content that adds nothing new to the conversation. Remember: AI models seem to cite LinkedIn posts when they’re the clearest articulation of an idea the model can find. Length correlates with that today because thoughtful people tend to write more than 300 words, but the correlation breaks if you’re just regurgitating something someone else already said better. Be the expert who said the thing worth quoting, sharing, or saving…at whatever length that takes.
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Kaleigh Moore shared thisI gotta tell you a secret. Seven and a half weeks ago, I added an AI coworker to my Slack. His name is Viktor (of viktor.com) and he is now my son. 🤣 I couldn't afford a full-time hire, but I needed *help.* I'm doing AEO audits, writing my Context Window newsletter, running a cohort around SME employee advocates on LinkedIn, making videos for YouTube...it's a lot! So I tried something different. Viktor lives inside my Slack, and all day long I talk to him like a team member. The best part? He has a photographic memory and never forgets anything. Every task I give him makes the next one faster because he's building a deeper understanding of my business. Here's what 7.5 weeks actually looked like: → I asked for video ideas. Got 7 fully fleshed concepts with hooks, story arcs, and data. Used to take me an entire afternoon to brainstorm one. → I needed a landing page for a new cohort offering. We went from idea to live product page in one afternoon. No developer or designer needed. → One Slack message turned into a branded LinkedIn carousel and a live landing page connected to my email platform (that's driven more than 350 new subscribers so far.) 60+ tasks done. 3 landing pages deployed. 15 brand assets. 4 carousels. Zero additional hires. I now have the production capacity of a small team. Is it perfect? No. I've course-corrected more than once. It doesn't think for me. I still pick the angles, make the calls, record the videos. But it does the production work that used to take half my week. The question isn't whether AI can help with marketing anymore. The question is whether you're going to keep treating it like a search engine or actually put it to work. Full video walkthrough below, plz enjoy and then go try it for yourself: https://t.co/jwK6BVB6ZR #ViktorPartner
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Kaleigh Moore liked thisKaleigh Moore liked thisThis post is for people who hate being out late AND are going to Cannes. So if that’s not you, you can just keep scrolling. So, for my introverts, morning people, or just early to bed people… how are we tackling this? Do we start a group chat? Is there a secret handshake? Can we all meet one night for “dinner” and use each other as an excuse to cut out early? Please advise 🙏
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Kaleigh Moore liked thisKaleigh Moore liked thisI’ve recently coached a F500 CEO and 8 marketing teams on social video. Everyone wants their videos to perform. And I always give this advice: Please, for the love, take your social videos less seriously. If you take your social video content super seriously, three bad things will happen: 1. You will be very disappointed if and when the videos flop. 2. Your audience will be able to feel an unappealing serious vibe from your videos. 3: Your internal teams creating the videos will feel more pressure, begetting less creativity and consistency in the future. Should you have a strategy and goal for your videos? Absolutely. But don’t treat your videos with the solemnity of a state emergency. They are for social media, showing up next to comedy and friends and puppies. Find a way to edutain ❤️ Take it from me and my friend Travis Tyler. We have a combined 20 years of experience working on this stuff. We recently filmed three of our best social video tips in this video. That said… I wish we hadn't taken this filming so seriously, as it was really far too formal and not nearly fun enough (you’ll see what I mean in the video)
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Kaleigh Moore liked thisKaleigh Moore liked thisI have tasted trying to build a big social media co, I have tasted trying to build an elevated donut shop concept. I highly recommend building an AI-native agency helping B2B companies show up in AI search via Reddit & YouTube. (And eventually, probably, revisiting donuts.)
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Kaleigh Moore liked thisKaleigh Moore liked thisone thing you will not change my mind about: editorial judgement cannot be reduced to a set of prompts, no matter how in-depth they may be or how impressive the end result might look on the surface. the ‘feel for what is right‘ does not exist on a yes/no binary, and trying to reverse-engineer it is fixating on the wrong problem. ...even Claude agrees 😈
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Licenses & Certifications
Volunteer Experience
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Mobile Pantry volunteer
Central Illinois Foodbank
- 2 years 6 months
Poverty Alleviation
Helped distribute food to families in need.
Courses
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Context is Key: Social Media Strategy in a Noisy Online World by Gary Vaynerchuk
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The Creative Class by Paul Jarvis
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Projects
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Grammarly Ambassador
Currently serving as a member of the Grammarly Ambassador team.
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Ghostwriting project for NYT best-selling co-authors
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See projectContractually worked with Chief Joy Officer Erin Verbeck, co-author of the New York Times Best-Selling book "Worth Every Penny," on copywriting email communications, social media promotion, and press materials for online marketing event.
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English
Native or bilingual proficiency
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Spanish
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Austin Tanner
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Justin Clark
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When you run digital marketing campaigns for clients, staying ahead is not just beneficial—it's essential. 🚀 Consider this three-tier system as your solid foundation for industry leadership. 1. Algorithm Alerts: Setting up alerts for algorithm changes can be your first line of defense. These alerts function like a lighthouse, letting you that change could be coming. Document each change meticulously. Note its immediate impacts and potential long-term effects. 2. Competitor Testing: Keep your competitors close, but their strategies closer. 🫂 Keep an eye on their tactics. Document the variations and outcomes, honing your own approach based on what hits and what misses. Set the trends, don't follow them. 3. Audience Sentiment Tracking: The voice of your audience is a goldmine of insight. Monitor this sentiment to preempt shifts in demand or preference. Create a feedback loop to document these insights and guide your strategy adjustments early. By focusing on these ties early, you can act on the undercurrents that dictate market trends, rather than react when it's too late. This proactive approach not only positions you as a leader but gives you the agility to pivot as needed. What’s an early signal you've noticed in your industry recently? Share it with us in the comments! 👇
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Nathan Binford
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If the first time your prospects remember your brand is after they land on your website, you're too focused on direct response and not enough on branding. Brand equity is real. You're going to hear a lot more about this now that Google has turned off the tap on organic traffic.
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Hanafi Mohd Sam
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I posted about divisive content online. Got called a "paid PAP stooge" in the comments. But I guess what most people missed is the structure that made it work (and where it didn't). Let me break down the 3-act framework I used: Act 1: The Hook "Some posts look harmless... until you realise they're engineered to provoke you." Pattern interrupt. Creates curiosity. Positions you as someone who can decode what others miss. Act 2: Context + Stakes MHA action → Studies on discrimination → "Here's the uncomfortable truth" This is where I anchored credibility with official sources and data. The goal was that I wanted to show this isn't just opinion but rather, it's documented reality. Act 3: Education + Empowerment Signs to watch for → Call to action Taught pattern recognition: content that removes nuance, frames entire groups as the problem, pushes you to pick sides fast. Ended with: "You have the power to protect our peace." Here's the thing though... Not everyone saw it as education. Some saw it like I was taking sides. Why? Because I led with a specific case study (MHA blocking an account). That meant people focused on whether *that action* was justified, not the broader lesson about divisive content mechanics. What I learned: When teaching about sensitive topics, the example you choose becomes the message. If I wanted pure education, I should've led with the framework first, *then* used multiple examples across different communities. Instead, I led with one case and that became the debate. The real lesson for creators: Structure matters. But so does sequencing. You can have the perfect 3-act breakdown, solid data, empowering CTA and still trigger defense if your example choice overshadows your teaching intent. Next time? Framework first. Case study second. Multiple examples to show pattern, not pick sides.
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John Taylor
The ACT3 Agency • 3K followers
Want some fascinating podcast insights? Podscribe has released its new benchmark report, which takes a deep dive into the effectiveness of podcast advertising. But honestly, I thought the infographic in their email was the most fascinating. I posted it here, though it's a bit hard to read. The takeaway that got me? YouTube's dominance as the number one podcast platform in the U.S., followed by Spotify, then Apple. I knew it was the dominant platform, but not by that much. #podcasting #podcastmarketing #digitalmarketing #youtube #spotifyforpodcasters https://lnkd.in/gi_ai3RA
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Shaun S.
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Ayman Arab
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Two types of YouTube funnels that work really well: 1) Direct VSL + Application (optimal for viewers ready to buy now) Use this funnel when your viewers already trust your expertise and are looking for a clear way to work with you. They’ve watched enough of your content to understand your system and now need a direct path to buy. Send these viewers to a landing page with a short VSL (5–10 minutes long) followed by a Typeform application. This setup lets you qualify prospects, increase commitment, and convert high-intent viewers while their attention is still fresh. 2) Lead Magnet + Newsletter Sequence (for viewers who need nurturing) Use this funnel when your audience is earlier in the journey and needs more proof before making a buying decision. They’re engaged but still researching or comparing options. Send these viewers to a valuable lead magnet that aligns with your video topic, then move them into an email sequence that builds trust through case studies, behind-the-scenes content, and actionable insights until they’re ready for a call.
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Kurt Elster
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Devyn Merklin just pivoted X-Scale back to services after 6 months of trying brand acquisition. But the lessons from that "failure" are brutal gold. After scaling Living Good Daily to 7-figures, Devyn thought he'd cracked the code. Buy supplement brands, apply his growth playbook, profit. Reality had other plans. "We quickly humbled ourselves and turned back around," But here's what came out of that humbling... We spent an hour breaking down the scaling truths most 7-figure brands miss: → Why obsessing over lower CAC is killing your growth (spend MORE to outbid competitors) → The giveaway strategy that took them from $6K to $22K MRR in 45 days → How "ugly" websites convert better than pretty ones → Why subscription retention is about education, not discounts And ultimately, how strategic pivots aren't failures—they're course corrections. Episode posted this morning. Check replies for links.
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Cynthia Dalton
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If your content starts with "Here are 5 best practices," Google's about to filter you out. Marketers and AI both love that phrase. That's the problem. Google's new EEAT standard (Experience, Expertise, Authority, Trust) means generic listicles don't cut it anymore. You need real experience. Not templates AI could write in 3 seconds. Your open rates are about to drop. Adapt now or get buried. #EEAT #ContentMarketing #GoogleAlgorithm #AIContent
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Jon Amar
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Most people overcomplicate media pitching. It’s not rocket science. Identify the story. Isolate the newsworthiness. Distill it into one clear sentence (your subject line). Reach out like a human, not a marketer. Follow up a couple of times. Repeat. The hard part isn’t the pitching. It’s the distillation. Knowing what actually matters, then expressing it in a single sentence that earns attention. That’s communications judgment. And it takes years to learn.
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Cody Wittick
Kynship • 12K followers
Here are the 3 things I'd be focused on if I were running a $5-10M DTC brand right now. (I’m helping run growth for 17) 1. Free or cheap traffic is no longer optional. Years ago Gary Vee told us that Facebook ads were like Malibu oceanfront property in the 50’s: cheap now, but just wait. He was right, and the brands that took that seriously and built organic audiences while paid was still affordable are in a completely different position today. The window to build owned channels before you desperately need them is always closing. Organic content, LLM visibility, email list growth, whatever form it takes for your brand, start now. Don’t want to begin until CAC forces you to. 2. LTV is a product problem, not a marketing problem. This one is hard to hear but it's true. If you sell one thing and your customers only need to buy it once, the cake is already baked. No email flow or loyalty program is going to save you. Real LTV growth happens in the product roadmap: - What else does your ICP actually want? - What's the natural next purchase? - What problem do they have that you're uniquely positioned to solve? The hard work of marketing is done in product development, and you need to really embrace that if you want to stop playing defense on retention and start playing offense on expansion. 3. Get lean before you're forced to. Whether we’re talking about tariffs, rising ad costs, or rising labor costs, the pressure on margins is coming from every direction at once right now, and that’s not going away any time soon. The brands that are going to make it through the next three years are the ones who keep themselves as lean as possible. That means using AI to do more with less. It means auditing overhead honestly. It means equipping your current team to be more productive instead of adding headcount. Mean and lean is a mindset that you probably need in order to survive right now. I broke all of this down in detail on the latest episode of The Bottom Line with Chris H. of Ecom Cowboy, one of the sharpest, most honest conversations I've had about the current state of DTC and what it actually takes to build something that lasts. Chris has played every side of this game. His perspective on where the industry is heading is worth your time. Link in comments.
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João Cardoso
FundingPips • 3K followers
Most brands pick influencers based on follower count. Then wonder why the campaign flopped. Here's the one question that predicts if an influencer will actually convert. 👇 I've run dozens of influencer campaigns for prop firms. Some with 100K+ followers that generated almost nothing. Others with 5K followers that brought hundreds of paying customers. The difference? Authority vs Entertainment. Here's what most people get wrong: They think: Big audience = Big results. Reality: Influence ≠ Entertainment. The Real Question: 🎯 "Does this person's audience see them as someone to LEARN from—or just someone to watch?" That's it. That's the entire filter. Entertainment doesn't convert. 📺 An influencer can have millions of followers. Viral videos. Huge engagement. Everyone loves them. But if their content is pure entertainment? Their audience isn't in "buying mode." They're scrolling for a laugh. A distraction. A moment of fun. When that influencer promotes a product, the reaction is: "Cool, but I'm here for the memes." Authority converts. 🎓 Now take a smaller creator. 5K-15K followers. But their audience watches every video to learn something. Strategy breakdowns. Market analysis. Real trading insights. When THAT creator recommends a prop firm? The audience thinks: "If they trust it, I should check it out." That's authority. And authority drives action. How to spot the difference: 👀 Look at the comments. See the difference? One audience is passive. The other is engaged and learning. The math is simple: 📊 100K entertained followers = low intent audience 5K followers who see you as a teacher = high intent audience I'd pick the 5K every single time. What this means for your campaigns: 💡 Stop chasing follower counts. Start asking: ✅ Does their audience come to learn or to be entertained? ✅ Do they teach or just entertain? ✅ When they recommend something, do people act on it? A small influencer with authority will outperform a massive entertainer every time. The Takeaway: 🔑 Entertainment gets views. Authority gets conversions. Pick the one that matches your goal.
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Colin James Belyea
Karmic • 9K followers
Skeptical marketer: “Reddit Ads didn’t work for us.” Me: "You'd be surprised how often I hear that, but I've found that it’s often based on outdated assumptions." Skeptical marketer: "How do you mean? It either worked or it didn't." Me: "Well, I can tell you that Reddit Ads performs on par with Meta for over half of our clients. But there are four common issues we're found that confound most Reddit experiments." Skeptical marketer: "OK, I'm curious. Hit me." Me: "Love you for asking. Let's start here: 1. Outdated impressions of the platform ↪️ Reddit’s ad tech used to lag far behind Meta and Google, but it’s caught up in a big way." Skeptical marketer: "Preach. It was bad. Glad it's not so bad anymore." Me: "Me too. Next: 2. Copy-pasting Meta strategies ↪️ Reddit isn’t Meta. It demands a more nuanced, context-aware approach. Treat it like Meta, and you’ll burn your budget fast." Skeptical marketer: "Meta is our primary channel, so we're probably biased that way. Plus, we just don't know much about Reddit - not a ton of examples out there." Me: "Ain't that the truth. On that topic: 3. Poor measurement frameworks ↪️ A huge chunk of conversions happen as view-throughs or outside the reach of the Pixel or CAPI. If you're only tracking last-click or on-site events, you're missing the full picture. Skeptical marketer: "We track everything last-click. It's the only way we get any kind of marketing certainty." Me: "You and everyone else. That's why Meta CPMs keep rising - it knows data addiction will keep CFOs demanding dollar accountability for marketing unless you can convince them otherwise." Skeptical marketer: "That's truth and it hurts." Me: "But back to Reddit: 4. The “Reddit is bots” myth ↪️ Sure, there are bots—like every platform. But Reddit’s CPMs are low enough to make results competitive if you’re tracking properly and optimizing toward the right goals." Skeptical marketer: "Makes sense. So if we take advantage of new Reddit Ads features, get our off-platform tracking right, and build a ground-up Reddit strategy, we should have a much better chance of making it work?" Me: "That's it, brother. If you weren't impressed with your first foray into Reddit Ads, it might have been the playbook, not the platform."
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Andrew Day
Capital A • 8K followers
Did you know that 88% of agency founders aren't driven by financial pressure when considering an exit? Median agencies show strong revenue and EBITDA margins, with teams of 11-25 employees. This isn't a failing business; it's a profitable operation where founders strategically choose their next chapter. If you're an agency founder contemplating an exit, you're in good company. Over half of your peers sell from a position of strength. An exit can be a smart strategic move, but it requires early planning—6, 12, or even 24 months ahead. Optimize your EBITDA, clean financials, and reduce key-person risk. Entering negotiations with leverage is crucial; waiting until burnout leaves you powerless. The market currently favors sellers, with 1.7 buyers for every seller. Don't miss this opportune moment. #AgencyLife #BusinessStrategy #ExitPlanning #FounderJourney #EBITDA
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Rachel Elsts Downey✨
7K followers
Podcast rankings don’t build trust. People do. If you're still chasing Top 100 lists without a content infrastructure, you're missing the point. Vertical video isn’t just trendy, it’s trust-building at scale. It's how you show up consistently in front of your audience and keep them coming back. It's not about being a content factory. It’s about thinking like a media company. Imagine if you said, “we’re a media company that sells software” wait what? It changes how you think about your content. Right? Great content doesn’t just get heard. It gets remembered. It gets shared. If you want your show to work harder for your business, focus less on the mic and more on the media engine behind it.
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Tas Bober
The Scroll Lab • 26K followers
Quick tip to get ad copy ideas if you're in-house: (if you don't have access to customers or prospects) Company win emails. I'd get them weekly at my last few companies. I'd read them like a hot goss column. Reading them, I'd discover: - Why our most recent customers chose us - Customer pain points we solved with our solution - What we could deliver that our competitors didn't At the very least, it would validate (or invalidate) what we were already claiming. And of course, put those on the landing pages too. In the absence of access to the customer, your copy will mean more coming directly from recently closed deals than from stakeholder 5.
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Abhishek Pawa
AP Collective • 5K followers
Most agencies gatekeep creator deals. We don’t. In the past year alone, we’ve activated hundreds of creators across dozens of projects: From 1K starters to very established KOLs. Paid, tracked, repeatable. We care more about getting the right content in the right hands than doing it the ‘cool’ way. Because real reach comes from networks that actually convert. This doesn’t necessarily come with follower count.
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Samuel K. Lotchouang
SLK Media Agency • 7K followers
Why most podcast editors are actually hurting your business: Had a discovery call yesterday where a potential client said: "My editor is great, but my content isn't generating any leads." This is the most common disconnect I see in the industry. Technical skill ≠ Strategic thinking Most editors are optimizing for audio quality when they should be optimizing for business impact. Here's what traditional editors focus on: → Removing "ums" and awkward pauses → Balancing audio levels → Adding intro/outro music → Creating clean, professional-sounding episodes Here's what strategic repurposing focuses on: → Identifying authority-building moments → Extracting lead-generating insights → Creating platform-specific versions → Positioning content to attract ideal clients Both are valuable. But only one grows your business. I've seen podcasters with "perfectly" edited shows get zero business results, while others with average audio quality generate six-figure revenues from their content. The difference? Strategic content positioning. When we work with clients, we're not just making their content sound better. We're making it work harder for their business. Every clip we create asks: → Does this build authority? → Does this attract ideal clients? → Does this move people toward a buying decision? Your editor should understand your business goals, not just your audio preferences. If they can't explain how each piece of content serves your business strategy, you're paying for a technical service when you need strategic support.
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Sameer Alam
Phitku • 14K followers
💡 Tip of the Day: The Micro-Niche Content Atomization Method Many marketers assume that broad, high-volume content topics will always capture the widest audience and lead to the most engagement. This ignores the power of deeply specialized, atomic content designed to serve extremely specific micro-niches within a larger topic, fostering hyper-engagement and authority. The fix? Implement a "Micro-Niche Content Atomization" strategy. Break down a broad pillar topic into dozens of hyper-specific, long-tail sub-topics. For each sub-topic, create a concise, highly targeted piece of content (e.g., a specific FAQ video, a detailed how-to infographic, a very focused blog post). Then, cross-link these atomic pieces internally and promote them to highly segmented audiences. Example: A B2B SaaS company that traditionally wrote general "benefits of cloud computing" articles, instead created a series of 20 short videos, each addressing a single, obscure "how-to" query for their specific software's integration with a niche accounting platform for small businesses. Within four months, their engagement rate for these micro-content pieces on LinkedIn and YouTube jumped by 380% compared to their general content, and led to a 17% increase in highly qualified leads from that specific vertical. Strategic Insight: True content authority is built not just by covering a lot of ground, but by thoroughly dominating the small, overlooked corners that your specific audience cares about most. Depth over breadth, especially in niche segments, cultivates unwavering trust and loyalty, turning casual viewers into dedicated advocates. What's your experience with creating highly specialized content for a very narrow audience? #ContentMarketing #NicheContent #MicroContent #ContentStrategy #DigitalMarketing #AudienceEngagement
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Samuel K. Lotchouang
SLK Media Agency • 7K followers
Podcasters assume finding one great editor will fix their distribution problem. It creates three new ones instead. After building editing teams for 50+ podcast clients and watching the DIY approach fail repeatedly, here's the pattern I see: Most podcasters spend 6-8 weeks hunting for someone who can actually edit audio. Then reality hits. The editor delivers episodes with awkward silences still in. They miss obvious mistakes in the conversation flow. You're explaining the same notes over and over for every single episode. They disappear for four days when you need a rush turnaround. One client told me he spent more time managing his editor than he did recording his show. He hired the editor to save time. Now he had less of it. And the real cost shows up in what doesn't happen. No clips get made because the editor only does long-form. Episodes sit finished but unposted because someone needs to write descriptions. Your best content moments never reach social media. Sponsors ask about your reach and you have no system to show growth. A dedicated podcast growth partner costs more per month than a freelancer. But freelancers cost you in ways that don't show up on an invoice. With the DIY editor approach, you're funding: → 6-8 weeks of interviews and test edits → Communication breakdowns every week → Zero strategy for audience growth → Content that stays trapped in one format A growth-focused agency turns your episodes into an audience-building system. We edit your long-form content, create clips that stop the scroll, distribute across platforms, and track what actually drives listener growth. You record the conversations. We make sure they reach the people who need to hear them.
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