Organic Distribution & Community
Organic social distribution through platform-specific publishing, replies, quote posts, communities, Reddit, and employee or founder-led reach.
36%
Best tweets about Content Marketing
50 Best Tweets About Content Marketing (2026)
Explore the best tweets about content marketing, featuring strategy, research, distribution, formats, measurement, repurposing, and audience growth.
Content strategy, audience research, production, distribution, repurposing, measurement, attribution, and demonstrated business outcomes.
- Creators
- 41
- Updated
Original Xholic analysis
What 50 top Content Marketing posts reveal
Within this 50-tweet sample, posts commonly emphasize audience and offer alignment, iterative learning from performance, clear positioning, and active distribution. AI is described as useful for execution and experimentation when paired with editorial judgment; the strongest disagreement concerns whether organic or paid activity should be the primary growth lever, particularly for ecommerce.
- Dominant tone
- Positive
- Median score
- 7.35
- Leading format
- Opinion
- Recent posts
- 38%
42% of posts
All-time engagement
36% of posts
Published in 90 days
Conversation map
The themes creators return to
Content Research & Optimization
Testing ideas, studying competitors and performance patterns, maintaining swipe files, and using feedback loops to improve content.
34%
Positioning & Voice
Positioning through distinct points of view, expertise, personal voice, core messages, and thought leadership.
32%
Content Planning & Systems
Content planning systems including pillars, calendars, workflows, formats, topic selection, and sustainable publishing habits.
30%
AI-Enabled Content Operations
AI-enabled research, creation, updating, analysis, and automation—paired with human judgment, editorial standards, and differentiation.
24%
Audience Insight & ICP
Audience research, ICP definition, buyer pain points, and translating expertise into problems people will pay to solve.
22%
Creator & Paid Content Systems},{
Creator, UGC, influencer, and paid-social creative systems, including using organic content to support advertising and ecommerce growth.
10%
Content Repurposing & Compounding
Repurposing and compounding proven ideas across posts, articles, talks, podcasts, courses, and platform-native formats.
8%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 19
- Median reposts
- 1
- Median replies
- 6
- Median views
- 1.1K
Posts with media make up 24% of this collection. Their median all-time score is 8.83, compared with 7.35 for text-only posts.
Format mix
- Opinion 36% · score 7.35
- Case Study 18% · score 13.9
- List 16% · score 9.85
- Tutorial 16% · score 4.33
Consensus and debate
Where creators agree, and where they do not
Shared view
Start with buyer insight
Several posts recommend grounding content in buyer and user insight: mine sales-call language, align posts with the audience for the offer, and use user insights to decide what to create rather than treating AI-enabled volume as strategy.
Shared view
Turn performance into an editorial loop
Posts describe a learning loop built around preserving patterns that worked, testing and refining ideas, studying comments or niche performance data, and developing validated ideas into more substantial assets.
Shared view
Positioning must shape the content
These authors frame content strategy around a clear audience, point of view, offer, and visible reasoning—not posting cadence alone.
Shared view
Publishing alone is not distribution
Distribution is presented as a separate responsibility from production: market the asset, participate in relevant conversations, and tailor contributions to the norms of niche communities.
Open debate
Organic versus paid as the growth engine
One post calls organic social the first marketing activity for a launching brand and describes benefits for creator marketing and ad signals. Another argues that ecommerce scale comes from paid-ad creative, landing-page conversion, and economics, with organic as a bonus.
Open debate
AI opportunity versus automation risk
AI is described as enabling automated updating and faster production, but other posts criticize low-signal automated repurposing and warn that AI content can underperform when it is worse than, or materially different from, normal editorial output.
Open debate
Conversation depth and reach tactics
Some posts emphasize replying to comments and engaging ICP posts, while another presents quote-posting a previously published article from a new angle as a reach tactic. Together, they illustrate both relationship-oriented engagement and reframing-oriented distribution practices.
What performs
Patterns behind standout posts
Five supplied score outliers
The supplied benchmark names five score outliers: the 60-day learning plan (321.96), AI-concept translation post (121.45), AI content-updating example (91.24), user-insight case (68.22), and creator/UGC system post (46.4).
Cases and lists exceed the overall median
In the supplied format data, case studies have a 13.866 median all-time score and lists have a 9.85 median, both above the overall 7.35 median. The highest-scoring individual post is the 60-day plan at 321.96. This is an association in this sample, not evidence that structured packaging causes stronger performance.
Examples connect content to leads, purchases, and pipeline
The evidence includes outcome-oriented examples: one author reports 53 leads and 15 product purchases, another reports two paid clarity sessions from a TikTok video, and one post recommends tracking content-sourced pipeline using first-touch attribution and discovery questions.
Statistical standouts
- View standout post 1 Score 322.0 · 43.8× median
- View standout post 2 Score 121.5 · 16.52× median
- View standout post 3 Score 91.2 · 12.41× median
- View standout post 4 Score 68.2 · 9.28× median
- View standout post 5 Score 46.4 · 6.31× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Chris Cunningham
@ChrisClickUp
2 posts
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2. Marcos
@itsmarcosruiz
2 posts
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3. James Camp 🛠,🛠
@JamesonCamp
2 posts
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4. Miracle Adishi
@miracleadishi
2 posts
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5. Neil Patel
@neilpatel
2 posts
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6. Raksha Devi
@Rakshaweb3
2 posts
AI supports execution, not audience judgment
These posts present AI as useful for research, updating, experimentation, and writing output, while retaining user understanding, feedback, ideas, review, and editing as human responsibilities.
Expertise needs audience translation
Creators link stronger positioning to firsthand expertise, a defined audience, and conversations beyond the content-marketing niche. One post specifically describes using data to identify an angle rooted in the author’s Web3 experience.
Repurpose from proof, not convenience
The repurposing examples favor adapting or expanding ideas with demonstrated signal. One author explicitly recommends moving from a resonant social post to an article, then to talks, podcasts, and courses rather than automatically splitting one long asset into many short pieces.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Content Marketing tweets
Top Content Marketing tweets from 41 creators
Ranked 01–50
- 01
@omoalhajaabiola ·
To learn content management and social media marketing, here's a 60-day plan, spending 2 hours per day to develop comprehensive skills. This study plan covers topics such as content strategy, social media platforms, analytics, SEO, and more. Phase 1: Content Management (Days 1–30) Day 1–3: Content Strategy Fundamentals Topics: What is content strategy, setting goals, audience research, content types Resources: https://t.co/DXsx8LYStq https://t.co/K05DNoeNB7 Day 4–6: Creating Content Plans Topics: Editorial calendars, content creation workflows, setting deadlines Resources: https://t.co/zpWHtFZv83 Day 7–9: Content Writing and Copywriting Basics Topics: Copywriting essentials, writing for different platforms, persuasive writing Resources: https://t.co/2gefjOfs5M https://t.co/9CSXYKdpW2 Day 10–12: Visual Content Creation Topics: Basics of graphic design, creating visuals for social media, design tools (Canva) Resources: https://t.co/YYj0fRaSfs Day 13–16: SEO Basics for Content Topics: On-page SEO, keyword research, optimizing blog posts, meta tags Resources: https://t.co/0h6MdBmoW1 https://t.co/b2z2A7dJmk Day 17–20: Content Management Systems (CMS) Topics: Introduction to WordPress, creating blog posts, managing media, themes and plugins Resources: https://t.co/48M4w0v8XB Day 21–23: Content Repurposing and Curation Topics: Repurposing content, using content curation tools, creating value with curated content Resources: https://t.co/oc845NybWE https://t.co/Pp7Esq4At7 Day 24–27: Content Performance and Analytics Topics: Analyzing content performance, setting up Google Analytics, tracking KPIs (engagement, traffic, conversions) Resources: https://t.co/ch5Dz9EADL Day 28–30: Case Study and Practice Topics: Research successful content marketing case studies, create a content plan for a mock brand Resources: https://t.co/8a4QLLDmaf Phase 2: Social Media Marketing (Days 31–60) Day 31–33: Social Media Marketing Basics Topics: Introduction to social media marketing, key platforms (Facebook, Instagram, Twitter, LinkedIn), choosing the right platform Resources: https://t.co/1kdEg17q2a Day 34–37: Audience Building and Engagement Topics: Understanding target audiences, creating engaging content, community building Resources: https://t.co/2rJwx2HzYa https://t.co/9zeEwvOSk9 Day 38–40: Creating Social Media Content Topics: Best practices for different platforms (videos, images, posts), visual content creation tools (Canva) Resources: https://t.co/OVYXjYWROa https://t.co/WD3HPGFi2n Day 41–43: Scheduling and Managing Social Media Topics: Using tools like Hootsuite, Buffer, and Later to schedule posts, social media calendars Resources: https://t.co/KNvRAfmfUb https://t.co/GWXPjWrNgk Day 44–46: Facebook and Instagram Marketing Topics: Creating Facebook and Instagram ads, organic growth strategies, boosting posts Resources: https://t.co/RSYV6JUhIK https://t.co/2fZ0wQXdq5 Day 47–50: LinkedIn and Twitter Marketing Topics: Building professional networks, using LinkedIn for content marketing, Twitter trends, hashtags Resources: https://t.co/GZWoTthcTk Day 51–53: Influencer and Affiliate Marketing Topics: Working with influencers, finding affiliate partners, influencer outreach strategies Resources: https://t.co/FCur9dSxs2 Day 54–57: Paid Social Media Campaigns Topics: Facebook Ads Manager, Google Ads for social media, campaign management, budgeting Resources: https://t.co/AGPIk3aMQP Day 58–60: Social Media Analytics and Reporting Topics: Analyzing social media metrics, using platform analytics tools (Facebook Insights, Twitter Analytics), reporting to clients Resources: https://t.co/srUqE2BLpq
- 02
@businessbarista ·
New content strategy: be the Robinhood of AI Take concepts/products/best practices from Token Street (SF/X/engineering bubble) & translate for Main Street (non-technical knowledge workers/execs). WTF is loop engineering vs. graph engineering? WTF are evals & how to set up for knowledge work? WTF is model-routing & how can you set it up? WTF is finetuning and how can you finetune a model? What do you think? What topics should I def cover?
- 03
@thinking_slow ·
content marketing is going through the biggest step-change since Google appeared. one personal example: i have an old website i built a decade ago. the content was old, the design was old, i had no time to improve it. resigned to a slow death. c'est la vie. but now: i migrated the website from Squarespace to static HTML. i vibe-coded a brand new design with tons of custom widgets. i hooked it up to Codex and now, every day, Codex chooses one old article to improve, automatically. it pulls performance data from the Ahrefs MCP. it reviews top-ranking articles. it finds content gaps, adds new sections, generates new images, improves internal linking, and generates a preview for me to provide feedback on. it takes me about 10-minutes to review and finalise the article, and Codex saves my feedback to a memory file that it reviews the next time it goes to update an article. it is literally like having a team working for me, to my exact specification, reviving all of my old projects, and it costs me $20/m. and this is just a dumb hobby project: imagine what content marketing is about to look like at successful, tech-literate companies with big budgets and bigger revenue goals? imagine what a skilled team of marketers could achieve working in unison with a system like Agent A? of course, it's a classic monkey paw: the same technology that is automating high-quality content marketing is also nerfing the value companies can derive from it. but i think there will always be value (and reward) for extremely high-quality content, and strangely, i think AI is about to become essential for making competitive, high-quality content. how can "traditional" content marketing compete with automated content updating, with deeper research, with unique data visualisations and custom-coded page experiences? content marketing is absolutely crazy right now, and frankly i am having the best time
- 04
@GurpriyaSidhu ·
I am consulting with an early stage brand that wanted to grow its social media. In just 10 weeks it has crossed 5 million views on Instagram. There's no in-house team. We didn't use influencers (nothing against influencers, but influencer marketing is not a 'content strategy'). We did this with 2 freelancers who know their craft well and 2 user insights that told us what to create for our audience. We used AI to reduce our cost of creation and experiment faster but AI is no replacement for user understanding. To know your audience and what will resonate with them is the only defensible moat right now. Blitzkrieging your way through content by using AI tools is not a strategy. Volume means nothing. It's what you choose to do and how you decide to do it. I read a tweet sometime ago (I will link it in the comments), that I think hits the nail on the head: "If you use AI to guide your strategy, you are opting for mediocrity at scale. "Taste" - the human ability to curate, to select the outlier, to understand nuance and subtext - becomes the only defensible moat. The future of marketing is about who has the taste to know what *not* to create."
- 05
@JamesonCamp ·
A beauty brand doing $8M/year just showed me their books. They're spending $50K/month on creators and losing money Marketing has completely changed in the last 24 months. And most people running brands haven't caught up yet. I've managed $11M+ P&Ls for ecom brands. The way we ran those in 2020 and 2022 would be completely different today. The playbook used to hold for 2-3 years. Now it shifts every 6-12 months. If you're running the same strategy you were 18 months ago, you're already behind. The new model has two layers and they need to be completely separate. Layer 1 is influence creators. People with ~100K followers and real audience trust, where you're paying $1-2k per deal and then whitelisting their accounts to run paid ads through them. Their face, their credibility, your ad budget behind it. Layer 2 is a UGC army. Totally different people. You're paying $15/video plus a $1 CPM bonus and generating mass volume of creative, statics included. Then you run the top performers as paid ads. Most individual pieces don't hit. That's fine. You're playing the law of averages. Enough volume and you consistently find viral hitters and great ad creative that you'd never have predicted in advance. AI has unlocked some new pieces of magic though: you can now spin up 20 landing pages in an afternoon, each one matched to a specific funnel or creative. Triple Whale can do this for example Single product pages convert way better than homepage dumps. This always worked but it used to take dev teams weeks. Now it's one afternoon. Content strategy is easier too. Ive been advising the Stan team on building @stanleybystan as an AI content strategist. It helps me translate my tweets into IG Reels pulling 100K+ views, helps me think about what a client can post, it solves much of the heavy content lift. There is a major opportunity right now But it will go away. As it always does Every brand still dumping $50K/month into last year's playbook is paying tuition on a lesson they refuse to learn.
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@LoganTGott ·
How to dominate LinkedIn as a B2B SaaS: 1. Mine your sales call transcripts for your content strategy. 2. Drive content to demos and free trials, not sales calls. 3. Lead magnets should be the manual version of your product. 4. Build in public with real numbers, not vague milestones. 5. Find a post going viral in your niche this week and adapt it. 6. Comment on your ICP's posts before you DM them. 7. Commit to 90 days before you evaluate ROI.
- 08
@girlincrypto007 ·
The best news I could hear today: @claudeai Fable got extended till July 12 🙌🏻 I tried it yesterday as my Content Strategist, and honestly, it’s the best AI model I’ve tried so far 👀 What I did: > gave it my full monthly X stats(downloaded from X) > combined a few prompts from different Fable posts on X > asked it to analyze my content strategy, audience & growth Before, I tried similar things with Opus / Sonnet, but I never got real insight. With Fable, I finally saw the angles I was missing. The biggest one: > your perfect audience is not the one that gives you “fame.” It’s the one that can actually convert. People who would buy, use, or care about the products you promote. Define them, age, region - how would you attract them as followers? > it also suggested topics for posts/videos based on my actual strengths - not random AI-generated hooks, but ideas connected to my Web 3 full-time experience. And then it analyzed why I’m growing not that fast, weak points were: > profile visits > posts per day > lack of video content (it getting pushed now better than text one) > followers per 1,000 impressions Basically, the exact metrics I wasn’t paying enough attention to. But the most valuable part? It helped me shape my angle around my strongest asset: my real Web3 full-time experience. That’s the positioning I was missing.
- 09
@aigleeson ·
A brand DM'd me in a panic last year because their competitor went from 4K to 400K Instagram followers in 6 weeks with no ads, no influencers, and no sponsorships. They were convinced it was bots, and honestly I understood why because the growth curve looked completely synthetic. It wasn't bots. The second they showed me the account, I recognized the exact playbook because I'd reverse-engineered a nearly identical case six months earlier when a solo creator in the finance niche pulled off the same thing using nothing but a free Google tool that most people treat like a glorified PDF reader. They were using NotebookLM, and not in the way anyone talks about it. Most people dump documents into NotebookLM and ask it to summarize things, which is roughly as useful as buying a Ferrari to drive to the corner store. This creator uploaded every single top-performing post in their niche from the last 90 days, competitor content, comment sections, saved audio overviews, and then asked NotebookLM one question that most people would never think to ask: "What specific emotional triggers appear in every post that crossed 50K views in this niche, and what format pattern do they all share?" The output was a structural blueprint, not a content calendar, not a list of topics, but a repeatable emotional architecture that explained exactly why certain content stopped thumbs and certain content got scrolled past in under a second. They then fed that blueprint back into NotebookLM with their own draft posts and asked it to identify every place where their content broke the pattern, and they fixed every single one before publishing. The result was a posting system where every piece of content was pre-optimized against a data-backed model of what actually worked in their specific niche at that specific moment in time. A repeatable system built from real performance data that most creators in that niche didn't even know existed because they were too busy consuming content about growth instead of analyzing the mechanics behind it. The brand that DM'd me had better design, a larger team, and a content strategy their agency charged them $8K a month to manage. They got outgrown in six weeks by one person with a free tool and a smarter question.
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@timsoulo ·
The biggest lie in content marketing is the "AI content machine" that automatically turns one big piece of content into ten small ones. Last year: ▪️ I got 9M+ impressions on my LinkedIn posts ▪️ Ahrefs Blog got 3M+ unique visitors ▪️ Ahrefs YouTube channel got 3.5M+ views …which hopefully gives me enough credibility to call out bogus content marketing tactics. Enter the problem: There’s this notion that you can take a single long-form piece of content (a sales call or a podcast interview) and use AI to break it down to lots of short-form content like social posts, articles and email newsletters. That works, yes. But the content you get is royal sh*t. That long-form piece of content just doesn’t have enough signal to break it down to lots of smaller pieces that would perform well. You're just spreading one vague idea thinner and thinner across different channels. So at @Ahrefs, we do the opposite. We turn SMALL into BIG: 1. Start with a LinkedIn post. Test your idea. Test the way you frame it. See if anyone cares. Read what people say in the comments. 2. If the post resonates, turn it into a full article. Use the comments as your brief. People literally tell you what's missing, what's confusing, what they want more of. 3. Take your five best articles and rework them into a conference talk. Five validated ideas in one presentation - that’s pure signal. 4. Then discuss that presentation on a podcast. New format, same proven ideas, but now with the depth of a real conversation. 5. Take a few presentations and you got yourself a video course. Get the idea? With every step you add more: more signal, more context, more depth. If you want to create meaningful content with AI, you should configure your "content machine" to work from small to big, not the other way around. …or at least that's what works for us at Ahrefs.
- 12
@JamesonCamp ·
The highest leverage thing I’ve ever done in my life has been yapping on the internet I can literally attribute millions of dollars to it already and I’m hyper confident it will become the reason for 10s of millions more “But you just use AI to write your tweets” HA! You wish it was that simple… We all have Claude. How many people all of a sudden have a massive audience because of it? If it’s so easy, how come everyone doesn’t? A lot of my tweets I still just tweet from the hip. That’s personality. That’s just what I’m good at and I love doing it AI has maybe given me a 25% lift on the writing itself. The real edge is output and using data to understand what works so I hit bangers more often than not But it’s still trained on 6gb of my tweet data, I still have to feed it my ideas, spend 20 mins re-prompting and tweaking, then 5-10 mins cleaning it up by hand That’s the point. Great content marketers 10x their output with these tools. It doesn’t mean everyone is all of a sudden amazing It just raises the bar for what amazing looks like and it raises the bar for output This is why I’ve considered advising on GTM the content marketing. The expertise is still super important. It’s not just “use Claude”. If you wanna yap, just start yapping. The more you do it the better you get. AI is not going to do it for you. But if you get decent at it, and you only get decent through trial and error, it will 10x you
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@DeRonin_ ·
one underrated content strategy nobody talks about: building a memory layer for every piece of content that ever worked... let me explain every day on X you see a viral hook, a thread format, a post that blows up and you think "i need to remember this" most people bookmark it and never open it again or worse.. they screenshot 200 posts into a folder they'll never revisit here's what i do instead: every time i see a post that hits (mine or someone else's), i drop it into Obsidian with 3 things: > the hook and why it stopped the scroll > the structure (how it's built, what goes where) > the emotional trigger (curiosity, fear, proof, contrarian take) over time this becomes a living library of every piece of content that ever worked... not a graveyard of screenshots now when i sit down to write, i don't stare at a blank screen i open my vault, search by topic or format, and pull proven structures that already performed Content Engine runs on this exact logic.. it analyzes what worked, stores the patterns, and feeds them back to you when you need them the difference between creators who post consistently and creators who burn out is simple: one has a system, the other is guessing every time *so happy that i moved from second category to first (i've been stacked there for 2.5 years and it was burning out my potential) recommendation: start small.. next 7 days, save 10 posts that stopped YOUR scroll and tag them by hook type. that alone will change how you write
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@ItsMeBenChan ·
Quote-retweeting your own article is an absolutely busted strategy on Twitter right now We’ve taken articles from 200 views and pushed them past 200,000 on multiple occasions Exact same article, just with a different angle on the quote retweet. A quote-retweet is NOT a repost. It’s your second chance to change how the reader sees the article before they even click on it. We tested this with a client in the sales space. Article was something along the lines of “20 lessons I learned in sales” Good content, barely any views. We quote-retweeted it from a different angle. Spoke to a different desire and handled a different layer of resistance. Added 25,000 views overnight. If you aren’t including articles in your content strategy you’re losing out on a ton of mental real estate
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@onlinedopamine ·
here's a content strategy everyone can adopt the account in question promotes deel, which some of you might know for being a hr saas and others for their lawsuit anyways, this entire account is basically funny text overlays coupled with music and some light background action deel is then being plugged in the captions and in the bio find 3-5 of these accounts in your niche, film yourself, can use same song (esp if it's trending), then slightly adjust copy and caption
Watch video
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@thinking_slow ·
"does AI content work?" is entirely the wrong thing to ask. a much better question is "how is AI content materially different from 'normal' content?" usually when people publish "AI content" they are unwittingly engaging in a *different* strategy to traditional content marketing, and creating something *different* from traditional content. they create obvious hallmarks of AI use. for example: - publishing content much faster than usual, often on newer domains with little authority, no branded search demand, etc. - relying entirely on an AI model's internal knowledge, without sourcing information from a range of external sources - failing to include internal and external links, images, visual interest, first-person experiences - leaving obvious artefacts of AI use in the article, like obviously AI-generated imagery, obvious AI turns-of-phrase - AI writing patterns and watermarks that haven't been "humanised" by anchoring text generation in specific writing examples. some of these hallmarks make the content WORSE than normal (and hence contribute to poor performance), others are very DIFFERENT from normal (and make it easy to single out content as likely AI-generated) - both of which can contribute to that content not performing well. i obviously don't know the exact mechanisms at play when Google sinks an AI-generated blog after 3-months, but i DO know that many of these aforementioned signals are very obvious to Google: indexing requests, branded search demand, AI content detection (even if only directionally accurate), user engagement signals. we use generative AI a lot at Ahrefs, and i'm happy to do this because we do not compromise on our editorial standards. our AI process mirrors our human editorial process, step for step; it is better and more detailed than the human equivalent in many areas, because LLMs are more tireless researchers, more thorough adherents to brand voice. we are substituting one tool for another, one method of construction for another, but the end product is the same. we have even now published AI-generated content that is subjectively BETTER than our previously human-made content, because AI removed the data, design and updating constraints that previously limited our team. i am excited for the new experiences we can build for readers. you need to determine your own risk tolerance, but in my opinion, using AI to create content is not a problem - but using AI to create something that is WORSE or DIFFERENT to "normal" content marketing is. "creating bad content" or "scaling content too soon" is where problems emerge, and many people do this unwittingly when they use AI. if you know that you are compromising on your content through your use of AI, or trying to scale content on a site that barely exists in Google's consciousness, you should probably feel a bit nervous. if you want to win, change your framing and use AI to make content that is cooler and better than you were able to do before ✌
- 21
@FedotOff90 ·
Hot take: organic content doesn't scale ecom brands. Paid ads scale ecom brands. Organic content builds audiences. Audiences don't pay 3PL fees. I see founders spending 20 hours a week on TikTok organic hoping to go viral while their Meta ads are bleeding at 1.4x ROAS and they haven't tested a new creative in 6 weeks. That's not a content strategy problem. That's a priorities problem. The brands doing $100k/day are obsessing over their ad creative systems, their landing page conversion, their backend economics. Not their posting schedule. Organic is a bonus. Paid is the business.
- 22
@zaimiri ·
There’s plenty of writing tools. The gap for AI is in: - Helping creators grow - Finding viral and engaging topics to post about - Content Strategy - Help creators find money making opportunities - Closing the feedback loop on content with data Creators don’t need an AI Ghostwriter but an actual Head of Content
- 23
@ChrisClickUp ·
The brands posting and ghosting in 2026 are the same ones wondering why nobody engages 👻 You posted at 9am. It's now 2pm. 47 comments. 0 replies from you. That's not a content strategy. That's a monologue. The algorithm literally tracks whether you reply to comments. It factors response time into reach decisions. So every time you post and disappear, you're telling the algorithm "I don't care about this conversation." And the algorithm says "Cool, neither will anyone else." Post less. Reply more. That's the whole strategy.
- 24
@miracleadishi ·
Even with my 900+ followers, I got invited to be the official content marketing strategist for two product based businesses. My work is simple: Create a content system that brings in leads daily. So far, I have generated 53 leads and 15 have paid for a product of 23k I can't calculate my clients profit out in the open but when you know what kind of content brings in customers for your client, you will have the audacity to increase your rate and pay your house rent in 1 week. A happy client is a happy bank account.
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@itsmarcosruiz ·
Most people's content strategy and their offer are two completely different conversations. Their posts talk about mindset and motivation. Their offer is a premium monthly service. The audience they're building has zero overlap with the audience that would buy. Then they blame the algorithm when nobody converts. Match the content to the buyer. If you sell to business owners doing $50K+/month, your content should sound like someone who operates at that level. Speak their language, their lingo. The follower count will be smaller but the sales will be bigger.
- 27
@neilpatel ·
It's not writing your story. It's writing the statistical average of everyone else's. Same structure, same tone, different logo. That's not a content strategy, that's a slow fade. #AIContent #DigitalMarketing #MarketingStrategy #BrandBuilding
Watch video
- 28
@connorrolain ·
organic social is the one first marketing activity to do when launching a brand. make native iphone content that’s relevant to the category 👉 attract ICP 👉 get content distribution (views, engagement) going literally nothing else to do first. even branding. slap some $200 fiver branding on your ig and tiktok and post content while developing the real brand identity. imagine launching a product but you already have tens of thousands of followers and hundreds of thousands of views that aren’t getting the meta cpm tax and what does this do for your creator marketing strategy? creators are more likely to work with a pre launch brand w 30k followers and great distribution. and what does this do for your meta ads strategy? meta targets based on web traffic signal. organic web traffic seasons your pixel faster. this effect is the real sauce of organic social… organic social creates the best flywheel. “but i don’t know what to make” well don’t launch a product in a market you don’t know how to speak to “but i dont know how to make content im not creator” hire one! heck, hire 5! pay them $ per video. any brand can run fb ads or pay influencers… huge arb opportunity in organic social distribution and what it sets in motion.
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@itspairaw ·
The customers who buy from a single twitter post almost never become your best clients This is something most founders don't realize until they've been running content for 18 months and start comparing their LTV by acquisition source The buyer who DMs you after reading one viral tweet is buying on impulse. They liked the energy of the post, the result you flexed, the confidence of the take. They bought a feeling The buyer who DMs you after watching you post for four months is buying on conviction. They've watched you handle objections in your replies, seen the consistency of your thinking, evaluated whether your worldview matches their actual problem. They bought you (no slave shit) These two buyers look identical on the day they sign They behave completely differently for the next 18 months The impulse buyer churns at 1 to 4 months. They tend to be more demanding because they came in hot. They expect immediate results because the post that hooked them implied immediacy. They blame you when their business situation is what's actually slowing things down The conviction buyer stays for 6 to 24 months. They're more patient because they understand the strategy before they buy. They refer you because they're psychologically invested in being right about choosing you. They renew at higher tiers because they trust you with more of their operation This has a counterintuitive implication for how you should think about your content Most founders optimize their twitter for the impulse buyer They write hooks designed to make a cold reader DM them within minutes Big number flexes, controversial takes, urgency-driven CTAs This produces a steady stream of low LTV customers who churn quickly and complain loudly The companies who build the best brands on twitter optimize for the opposite They write content designed to be the third or eighth or fifteenth post a buyer reads from them, not the first Their goal isn't to convert on a single post. Their goal is to be unforgettable across 30 posts so the eventual conversation is already pre-sold This is a totally different content strategy and produces a totally different business Here's how you do this for twitter: 1/ get traction from viral posts, as usual 2/ take the traction, nurture the views with longforms and proof of concept 3/ 1% of the people from your viral post will remain. They will become lifetime fans and soon buyers. Most founders never figure this out because the impulse buyer feels like proof the content is working. The DMs roll in, the deals close, the dopamine hits Six months later they wonder why their retention is bad and their average deal size keeps shrinking The content was working. But it was working for the wrong buyer
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@5le ·
Stop calling your blog posts SEO. They're not. So many of my potential consulting leads have this question: what should they do with their SEO blog now that they suspect it doesn't work? A company publishes two posts a week, targets high-volume keywords, and follows every rule the agency gave them. Yet, traffic is flat and they want to know what's broken. This isn't SEO. At best, it's content marketing, and since nobody wrote it for an actual audience, not even that. It's just content, sold to you as SEO, by people who needed something to bill for. Real SEO has one job: make your product findable at the exact moment someone's ready to use it. That's it. Content marketing and SEO are not the same function. One is measured in subscribers and brand recall. The other is measured in signups, trials, and pipeline. Stop grading them on the same curve. Find the moment of intent and put the product there. Everything else is just writing.
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@heyblake ·
There's a mental model I use called the Content Depth Ladder. Rung one is observations. "Positioning matters." "Content builds trust." "Your messaging should be simple." These are true and useless. Everyone agrees. Nobody acts on them. They generate likes from peers and zero pipeline from buyers. Rung two is frameworks. "Here's my 3-step process for positioning a SaaS company." Better. Now you're giving people something to use. Frameworks get saved and shared because they're transferable. But they're still one level above the interesting stuff. Rung three is earned insights. Things you can only know by doing the work. "I repositioned 30 companies and the ones that grew fastest all had one thing in common, their founder could explain the positioning in a single sentence while walking." This is where trust lives. You can't fake rung three because it requires real experience. Rung four is prediction. "Based on what I've seen across 200+ positioning projects, the companies that will win in the next 3 years are the ones positioning against AI, and here's the specific playbook." Rung four is rung three plus the ability to recognize what keeps showing up plus the willingness to bet publicly on a future outcome. Your content strategy should have a target rung for every post. If more than half your posts live on rung one, you're producing filler that feels productive.
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@adrien_brbr ·
"Content marketing takes 12 months to work." My first paying customer came from a Reddit post. Day 30. I stopped posting in r/startups where founders clap for each other. Started posting in r/smallbusiness where owners complain about real problems. Content doesn't take 12 months. Posting to the wrong audience does.
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@ApTora_ ·
crafting a social media content strategy 𝑑𝑒𝑣𝑒𝑙𝑜𝑝 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 𝑝𝑖𝑙𝑙𝑎𝑟𝑠 > you need to choose your main topics for example; creator growth, on chain insight or brand building 𝑠𝑐ℎ𝑐ℎ𝑒𝑑𝑢𝑙𝑒 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 𝑐𝑎𝑙𝑒𝑛𝑑𝑒𝑟 > plan what you will post and when, this will keep you consistent instead of posting randomly 𝑎𝑑𝑎𝑝𝑡 𝑡𝑜 𝑝𝑙𝑎𝑡𝑓𝑜𝑟𝑚𝑠 > don’t post the same way everywhere what works on x might not work on other platforms adjust your style to fit each 𝑡𝑒𝑙𝑙 𝑣𝑎𝑙𝑢𝑒 𝑑𝑟𝑖𝑣𝑒𝑛 𝑠𝑡𝑜𝑟𝑖𝑒𝑠 > don’t just post info share experiences lessons, and results this is what builds connection and trust 𝑛𝑜𝑡𝑒: it’s good to diversify don’t stay in one platform
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@RossHudgens ·
Here’s how to successfully promote content on Reddit: Represent yourself authentically, as the brand. Attach a premium image that makes sense out of context of the post and would work as a standalone asset even if you never visited the website. Include a title that speaks in Reddit’s voice, while also intriguing the reader. Share content that’s unique and Redditors would love (unique data, news, behind-the-scenes takes), not a recycled keyword-focused post. Submit to niche, hyper-relevant subreddits only, and don’t overdo submission volume. Emphasize quality, not quantity. Overall, The Athletic does this well via their owned account. The submissions don’t always hit a home run, and that’s okay. They add enough authentic value that The Athletic never needs to be worried about being banned for their approach. That’s how you successfully scale a content distribution approach on the network.
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@CliftonSellers ·
If I was the CEO of @perplexity_ai I would launch a founder-led content strategy that covered product + personal stories + future of AI That would funnel not only to the product but a community platform where they went over use cases + set up weekly mastermind calls Oh, and I would launch content-first strategies across as many employees as possible Organic is the future
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@kaleighf ·
Content marketing used to be a play for brand awareness + keyword ranking. Now, with AI search, brands need to work to be known as the *topical authority* on their product/service within their niche + for their target customer. It should always have been this way.
Watch video
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@acagamic ·
🚨 Most experts have the wrong mental model of what makes someone the go-to voice in their field. We assume visibility is the product of consistency. Post more, stay top-of-mind, repeat. Wrong. Visibility is a positioning problem disguised as a volume problem. Your expertise is a vast web of connected reasoning - nuanced, hard-won, irreplaceable. But what you're publishing is just conclusions. You strip out every "why," every derivation, every chain of logic that actually makes your thinking different from someone with a tenth of your experience. The result? Your content looks identical to every other credentialed expert online. Not because you lack depth. Because you're only surfacing the surface. The fix isn't to post more. It's to make your reasoning visible: The specific, opinionated, first-principles thinking that connects your conclusions back to something real. That's not a content strategy. That's just positioning. When your audience can see *how* you think, not just *what* you think, you stop being one of many and start being the only one. Your expertise was never the problem. Burying its structure was.
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@sharyph_ ·
the skill that will matter most in 2026 isn't content creation it's audience translation everyone's racing to learn the latest platform threads growth hacks viral reels formulas the newest AI content tool But here's what i've noticed working with creators: the people building real income aren't the ones with the best content skills they're the ones who can connect their expertise to actual audience problems Let me explain: i've seen "content experts" who can write circles around me create stunning visuals explain every algorithm but they can't sell a $97 product because they don't understand: → what their audience is actually struggling with today → why someone would pay for a solution vs. consume free content → what keeps their ideal customer up at night meanwhile i've seen creators with average content skills making $10K+ per month because they understand the audience problem first then create content that bridges to their offer the gap isn't creative anymore the tools are getting easier every month AI writes better posts than most creators canva designs anything in minutes the creation part is solved what's NOT solved: knowing which problem your audience will actually pay to solve understanding what transformation they're really buying translating "i want to help people" into "here's the specific outcome worth $200" that's audience translation not content expertise market understanding the best creator businesses i know: → spent time in their audience's shoes → understand the real pain behind surface problems → learned content as a tool, not an identity → can speak to beginners and experts in the same post the worst ones: → learned content creation first → have no audience context → build beautiful content nobody buys from → wonder why followers don't convert specialists go deep on one skill translators connect expertise to transformation content skills are becoming a commodity audience understanding is becoming the moat the creator who understands: their niche's daily frustrations AND content strategy what transformation is worth paying for AND how to package it the gap between free value AND paid solutions beats the creator who only understands content every single time because audiences don't buy content they buy solutions to problems they're struggling to solve and only someone who understands their world knows what those problems actually are stop trying to be the best content creator in your niche start trying to be the one who understands what your audience actually needs that's the game now
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@ChrisClickUp ·
Marketing teams track dozens of metrics. Most of them are vanity. Here's the one that actually tells you if your content strategy is working. And almost nobody tracks it. It's called "content-sourced pipeline." Not "content-influenced." Not "content-assisted." Content-SOURCED. Meaning: the prospect's first meaningful interaction with your company was a piece of content. Not an ad. Not a cold email. Not a referral. They found you through something you published. Here's why this matters more than impressions, traffic, or engagement: - A blog post with 500 views that sources 3 qualified leads is infinitely more valuable than a post with 50K views that sources zero - Content-sourced leads typically close at 2-3x the rate of outbound leads because the prospect already trusts you before the first sales call - Tracking this metric forces your content team to think about who they're writing for, not how many people they're reaching How to actually track it: 1. Add "how did you hear about us?" to your demo form. Open text, not dropdown. People will tell you the exact blog post, podcast, or tweet. 2. Set up first-touch attribution in your CRM. Not last-touch (which credits the demo page). First-touch (which credits the content that brought them in). 3. Ask sales to note it in discovery calls. "What made you reach out?" is the most underrated question in B2B sales. 4. Review content-sourced pipeline monthly with your team. Kill what doesn't source pipeline. Double down on what does. When I started measuring this at ClickUp, it completely changed how we thought about content. We stopped chasing traffic and started chasing the topics and formats that actually brought in buyers. Our output went down. Our pipeline went up. If you only track one content metric, make it this one.
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