Service 02 of 03 · Buyer Trust Infrastructure
LinkedIn content that sounds like you.
Pipeline that proves it.
12–20 posts per month with a falsifiable POV in at least 40% of them. We target a Trust-to-Inbound Ratio of 1.2+ — four times what most founder LinkedIn generates. The only metric we optimize for is qualified inbound conversations.
Followers are a vanity metric.
Trust-to-Inbound Ratio is not.
TIR measures qualified inbound conversations generated per 1,000 followers per month. It’s the only LinkedIn metric that directly maps to pipeline. The industry baseline is 0.3. We target ≥ 1.2 — which means your followers generate 4× more qualified inbound per capita than a typical founder’s.
The difference between 0.3 and 1.2 TIR is almost entirely explained by one variable: POV Density. Content with ≥ 40% falsifiable opinions generates 4–6× more inbound per follower than generic thought leadership content. That’s the only knob we turn.
TIR = qualified inbound conversations / (followers ÷ 1,000) / month. Measured monthly. Reported in your analytics deck.
Four content formats. Each does a different job.
A healthy LinkedIn presence isn’t one format repeated 20 times a month. It’s a deliberate mix of depth, accessibility, and humanity — each format attracting a different stage of the ICP buyer journey.
The workhorse. A falsifiable thesis on a category debate your ICP has in internal meetings. These are the posts ICP buyers share with their teams. High save rate, long AHL.
“"Why 90% of Series B SaaS companies have the wrong ICP definition — and how to fix it in one afternoon."”
"Swipe for the framework." Dense, scannable, visually structured. Highest save-to-impression ratio of any format. Works especially well for process content and data-backed arguments.
“"The 7 SaaS metrics your board tracks that actively mislead your go-to-market team."”
Fast, punchy, immediately controversial within your category. "Unpopular opinion:" format. Drives the highest comment volume because the short format invites response. ICP buyers reveal themselves in the comments.
“"Unpopular opinion: your sales team is not underperforming. Your positioning is."”
Founder operating content. A decision you made this week, a mistake you caught, something you noticed. The most human content in the mix. Builds parasocial trust that the POV posts can't.
“"We just fired our highest-performing sales rep. Here's the full story."”
Voice calibration is the hardest thing we do. It’s also the most important.
The reason most LinkedIn ghostwriting fails is that it sounds like LinkedIn — not like a person. We built a calibration process that runs before the first post ever goes live, and we don’t bypass it regardless of timeline pressure.
We analyze 3–6 months of your existing writing: emails, Slack messages, prior LinkedIn posts, any investor updates you'll share. We map your actual vocabulary level, sentence length, punctuation habits, and POV density before anyone writes a single word.
A 90-minute structured interview across 12 category debates. We're not looking for safe takes — we're finding the opinions you'd say in a board meeting that you've been too careful to post publicly. Those become your editorial bedrock.
We codify everything into a written Tone Profile: vocabulary list, banned phrases, sentence rhythm, structural preferences, the 5 debates you have strong opinions on, the 3 you deliberately avoid. This lives in our system and governs every piece of content we produce for you.
We draft 8 posts across all four formats and send them for feedback before anything goes live. You tell us what sounds right, what sounds off, and what you'd never say. We adjust until every post passes the 'sounds like me' test.
Posts go live. Your approval batch arrives every Sunday — you have until Tuesday to approve or comment. Monthly tone reviews compare new posts against your Tone Profile. If anything drifts, we catch it before your audience does.
The distribution system takes 90 days to establish. Then it compounds.
Month 1 looks like planting seeds. Month 6 looks like a harvest. The compounding is non-linear — which is why founders who stay the course to month 6 see disproportionate returns relative to months 1–3.
Voice calibration complete. Tone locked. ICP discovering you for the first time.
First viral post typically hits here. ICP buyers start commenting. DMs begin.
Algorithm learns your ICP. Content gets surfaced to non-followers. Newsletter integration amplifies.
Compounding. Followers send your posts to peers. New followers arrive pre-trusting you.
Category authority established. Inbound from people who've read 15+ of your posts.
What we never do — and why.
Several LinkedIn tactics produce short-term vanity metrics at the cost of long-term TIR. We refuse all of them, even when clients ask. Here’s why.
Artificial engagement trains the algorithm wrong and attracts the wrong audience. It shows up in your TIR immediately — lots of followers, no inbound.
If it doesn't say something specific enough to be wrong, it can't be trusted enough to be right. Thought leadership with no falsifiable opinions is noise.
Thought leader, leverage, synergy, world-class, best-in-class, game-changer, unlock, supercharge, disrupt, paradigm, holistic. Every post goes through an automated style check before it reaches you.
"Stop scrolling" and "What I learned from 10 years of failure" hooks attract the wrong audience. Your ICP is not looking for inspiration content.
If there's no falsifiable opinion in a post, we don't publish it. We'd rather publish 12 strong posts than 20 weak ones. Volume is meaningless without POV Density.
Case study — LinkedIn Authority Engine
Mukund Mohan: under 1,000 to 30,000 followers.
4.1× Trust-to-Inbound Ratio. 12 months.
Mukund had tried two LinkedIn ghostwriters before Thrisha. Both attempts produced content he was embarrassed to put his name on — it sounded like LinkedIn had generated it, not a person with 20 years of B2B SaaS experience and genuinely contrarian views on go-to-market.
The breakthrough was the calibration interview. In 90 minutes, we mapped 12 category debates Mukund had strong opinions on — opinions he’d been too careful to post publicly. Those became the editorial bedrock. Every post started from a real take, not a trending topic.
At month 12: 30,000 followers, 4.1× TIR, and a situation where enterprise buyers arrived on demo calls having already read 8–10 of his posts. The demo was different. Pre-sold buyers close faster and at higher ACV.
“I’ve had people quote my posts back to me in meetings without knowing I didn’t write every word myself. That’s the bar — if it sounds like me, it is me.”Read the full case study →
Questions founders ask before starting.
Will it actually sound like me, not a ghostwriter?
This is the hardest part of the job and our primary differentiator. The calibration process (week 1–3) exists entirely for this purpose — we do not start publishing until the voice is right. If after the calibration sprint a post doesn't sound like you, we revise until it does. There is no cap on revisions during calibration.
What is Trust-to-Inbound Ratio and how is it measured?
TIR is the number of qualified inbound conversations you generate per 1,000 LinkedIn followers per month. 'Qualified' means your ICP — not recruiters, not vendors, not other founders. We track this monthly by asking you to tag which inbound conversations came from LinkedIn, and we verify against follower count. Industry baseline: 0.3. Our target: ≥ 1.2.
How much time do I spend on approvals each week?
Under 20 minutes. Your content batch arrives as a Notion document every Sunday. You can approve the full week's content in one sitting, or leave inline comments on specific posts. We never send individual posts — always a batch, so you review once and we schedule everything.
What if I want to post something spontaneous or timely?
Encouraged. If something happens in your category that you have a strong take on, you can send a voice memo or a few lines to your account manager at any time. We'll draft and send it back within 4 hours for your approval. Some of the highest-performing posts come from these spontaneous takes — your real-time reaction to news your ICP is watching.
Do you handle comments and DMs?
We draft responses to comments on high-engagement posts if you'd like — but you post them. We never post as you in comments without your explicit review. DMs are yours: we don't touch them. That's where inbound conversations start and they need to sound like a real person, not content.
How do you measure POV Density?
We count the number of falsifiable statements per post — claims that a reasonable person could disagree with. Target is ≥ 40% of content blocks containing at least one. This is measured in your monthly analytics report and tracked over time. Low POV Density is the most common reason TIR plateaus.
Try Thrisha free for 14 days.
We ship 4 narrative posts, 1 newsletter draft, and 1 podcast outline. You keep everything — sign or walk.
- ✓ 4 LinkedIn posts
- ✓ 1 newsletter draft
- ✓ 1 podcast outline
- ✓ Founder Brand Score report
We accept 4 founders per month. No credit card. No retainer obligation.