The author file · who writes all this
I make technical founders legible to the people who buy from them.
I'm Ezekiah Livingston. Every guide, tool, and verdict on this site comes from one person, and this page is the honest version of who that is: seven-plus years of B2B marketing for tech firms, one very public LinkedIn specialty, and a stubborn refusal to promise engagement I can't control.
The short version
I run done-for-you LinkedIn content for B2B and deep-tech founders: positioning, human-written posts in the founder's voice, profile rebuilds, and audience growth. The reason that service exists is the pattern I kept meeting in-house: technical companies full of people with real insight, publishing marketing that says nothing, because translating expertise into public credibility is a genuinely different skill from having it.
LinkedIn is the specialty, not the boundary. The rest of my week looks like what it has for years: SEO content strategy, marketing diagnostics, and content operations for technology firms. This site's algorithm explainer, its public pricing research, and its five tools are all that same work, done in the open.
The road so far
Five eras, each with the lesson that survived it. Click any of them open; the dates are the least interesting part.
2018 to 2021 · IT infrastructure servicesThe ground floor: learning why nobody shows upopen
My first digital marketing job was the best education available: a company with no digital presence at all, and a mandate to fix that with no budget worth mentioning. When you can't buy attention, you learn what actually earns it: technical SEO audits, Core Web Vitals work measured in milliseconds, content built for FMCG, cloud, IT, and real estate clients who each spoke a different language.
The lesson that stuck: distribution problems almost always look like content problems from the inside. The company thought it needed more articles. It needed to be findable, credible, and specific, in that order. I've been re-solving that same problem at increasing scale ever since.
2022 · Content at industrial scaleThe half-million-word yearopen
450,000+ words of SEO content shipped in nine months, plus the job of training the writers producing alongside me. Training people is where writing stopped being instinct and became a system for me: you can't teach "make it better," so I had to work out what the decisions actually were: what makes a first line earn the second, when specificity beats fluency, why structure is a retention tool and not a formatting choice.
Everything this site teaches about hooks, formatting, and structure traces back to having to explain those decisions to another human being at 9am on a Tuesday.
2022 to 2024 · US fintech SaaSChampions first, contracts later: the adoption playbookopen
As Head of Content Marketing at a financial SaaS company, I ran the play I'm still proudest of. We didn't sell the platform to institutions. We got their analysts hooked on it first.
The motion had three stages. First, acquire the champions: multi-channel touchpoints aimed at research analysts and RCA professionals, the people who actually live in the workflows, built around technical workshops on genuinely hard tasks like DCF valuation, backed by content and outreach that met them wherever they already were. Second, let shadow adoption do the selling: analysts brought the tool into their institutions themselves, under the radar, because it solved a Tuesday-afternoon problem, and usage spread desk to desk without a single procurement conversation. Third, harvest with ABM: when an account's usage signals showed real internal traction, targeted account-based plays converted that quiet adoption into sales-qualified conversations and paying customers. Trial adoption ran across 50+ financial institutions on the back of it.
Behind that motion sat a team of 25+ writers, designers, SEO specialists, and analysts, 2,000+ content pieces with actual quality control, and a sales-trigger framework built on product usage thresholds so sales called at the moment of traction instead of the moment of convenience. This is where "content" stopped meaning articles for me and started meaning pipeline architecture.
2024 to present · US IT consultingThe founder-brand engineopen
As Head of Digital Marketing, I run the whole surface: a website rebuilt for rankings, 76,000+ words of ranked SEO content in a single quarter, detailed performance reporting for leadership, and an internal MVP tool that productized the firm's consulting offer with ROI modeling and live salary benchmarking.
But the piece that changed my trajectory was the executive LinkedIn program: taking a leader's account from effectively dormant to a compounding audience by treating positioning, content, profile, and network as one system. That program, measured monthly and refined for over a year, is the working prototype of everything this site sells. The case study tells that story with verified numbers and anonymized details.
2026 · Deep-tech data & cloudGTM assets for the hardest audience there isopen
An engagement with a data, AI, and cloud company took the translation skill to its stress test: a platform for managing sprawling multi-cluster Kubernetes environments, sold to people who can smell marketing from three sentences away.
The work was the full cloud-marketplace GTM kit: the AWS Marketplace listing and the assets that make a partner-led, co-sell motion actually function: the co-sell one-pager an AWS seller can forward without explaining, solution briefs mapped to buyer problems rather than feature lists, a security overview that survives a platform team's reading, and integration briefs for the cloud ecosystem. Plus thought-leadership groundwork on infrastructure fragmentation debt, and technical content on data migration, VMware exit strategy, and AI infrastructure.
The lesson: at the deep-tech end, marketing assets aren't persuasion, they're documentation with a point of view. Getting the substance right is the persuasion.
Things I've built
Vizualy is the biggest one: a platform I'm building for marketing agencies, currently in invite-only pilot. It lets an agency launch branded lead magnets (calculators, quizzes, scored checklists) for clients in minutes, on transparent rule-based logic where the same input always produces the same output, instead of an AI guessing. Around that core: a unified inbox that collects every magnet's leads in one place, automated WhatsApp follow-ups prefilled with the lead's own answers, client approval workflows, white-label branding, invoice and tax automation, and AI-assisted reporting where the AI writes the narrative but never the numbers. That last rule should sound familiar: it's the same one this site's tools run on.
Closer to home, the five free tools on this site: the 8-Second Test, Content Audit, Headline Grader, Post Scheduler, and Banner Checker, built because I got tired of profile advice that couldn't be tested. And inside a consulting firm, an internal MVP tool that turned a services offering into a product demo: ROI calculator, talent heatmaps, live salary benchmarking.
I build these for the same reason I write: a tool is an opinion about how something should work, made testable. If the opinion is wrong, the tool tells on you, which keeps the opinions honest.
Channels, tested in public
Strategy claims are cheap, so here's the record across channels, not just the one this site is about. Video content I've produced and managed has accumulated 4M+ lifetime views on YouTube. A Quora space I ran went from zero to 500,000 views in 28 days on nothing but consistent, topical publishing. And on the paid side, Meta ads management where the work is diagnosis, not budget: one client's booking drop traced to creative fatigue visible in cost-per-conversation data ($4.47 climbing to $10.18) while the healthy campaign held steady, which turned a "spend more" conversation into a "fix this one campaign" plan.
Different channels, same skill underneath: figure out what the audience actually responds to, measure it honestly, and stop doing the parts that only feel productive.
Beyond LinkedIn
Founders find this site through LinkedIn problems, so a fair question is whether that's all I do. It isn't. The productized service is LinkedIn because that's where a B2B founder's positioning compounds fastest and most visibly. The underlying craft is broader: making technical businesses understandable, whether the surface is a LinkedIn post, a ranked article, an ad account that needs a diagnosis instead of a bigger budget, or a content operation that needs a system instead of heroics.
Practically, that means I work with technology firms on marketing beyond the feed: SEO content strategy, positioning and messaging, content ops, and paid-media forensics. If that's the shape of your problem, the same contact form reaches me; describe the problem, not the channel.
What I believe (and why this site is built the way it is)
Craft and distribution are different promises. I'll grade writing all day, and my tools do, with quotes. Nobody controls reach, so nobody honest promises it. That's why the Content Audit refuses to predict engagement, and why my pricing page reads like a market survey instead of a pitch.
Claims need labels. Everything on this site that cites the algorithm carries a Confirmed or Observed tag: confirmed means LinkedIn's own paper or announcements, observed means community measurement. When a number can't be sourced, it doesn't get repeated here, even when it's flattering.
AI is a strong critic and a weak author. I use it the way an editor uses a ruthless first reader: everywhere except the sentences a reader actually sees. The data on why is on this site, sourced.
The test I apply to everything published here: would this page still be useful to someone who never hires me? If the answer is no, it doesn't ship. That policy costs some conversions and buys something better: being the reference people cite whether or not they become clients.
The receipts
This site is its own evidence: 40+ interlinked guides with FAQ schema and named sources, five working tools (the 8-Second Test, Content Audit, Headline Grader, Post Scheduler, Banner Checker), public pricing, and a client case study published with verified numbers and anonymized details. Client results referenced on this site are shared with permission; where details are anonymized, that's deliberate and disclosed.
Questions worth answering directly
Who is Ezekiah Livingston?
Do you only work on LinkedIn?
How do I work with you?
Free · no pitch attached
The fastest way to know if I'm any good: use the tools.
The 8-Second Test reads your profile the way a stranger does and hands you the verdict. If the verdict is useful, you'll know what working with me is like. If it isn't, you've spent two minutes and owe nothing.