I built the content engine and the software beneath it for an industry-authority author. The platform scans new RFPs, weighs each against the author's own work via retrieval, and drafts a partial response every morning. Monthly reach grew from ~8,000 to 290,000+ in five months. RFP-to-close rate doubled. Two six-figure retainers landed.
The problem
A respected industry-authority author had the body of work, the audience, and the inbound interest. What they didn't have was infrastructure. Content shipped reactively — one post here, one talk there. Reach was flat at roughly 8,000 monthly impressions across all platforms combined. RFP responses depended on a single newsletter list and a few personal relationships. The next platform algorithm change or single-channel deplatforming would have erased the pipeline. None of the upside was getting captured.
Why it matters
This particular author works in the equity space — one of the most politically attacked categories of consulting in the United States right now. The system applies just as much to any high-stakes industry expert who can't afford a single point of distribution failure: AI safety researchers, climate-policy advisors, healthcare-reform consultants, security operators, founders building in regulated industries. Anyone whose subject is too important to be silenced by one platform's bad week.
The strategic question is the same regardless of subject. An authority either becomes algorithmically resilient — distributed across enough platforms that no single deplatforming or policy rollback kills their pipeline — or they become quiet. I am uninterested in helping any of these experts become quiet.
Approach
01. I built a 25-page algorithm strategy document. Platform-by-platform: TikTok, Instagram, YouTube, LinkedIn, X. Not "post more." A weekly cadence, a content-pillar map, a measurement frame, and a list of exactly which experiments to run in the first 90 days. Written so the author could hand it to a content lead and have them execute without supervision. The document became the operating system for the next twelve months of distribution work.
02. I picked two platforms to overinvest in and one to underinvest in, on purpose. LinkedIn and one short-form platform got the weekly cadence — that's where the high-value RFP buyers were already reading. The third platform got a monthly cadence on purpose; audience overlap with the buyer was thin and we conserved production time for the surfaces that actually moved deals. Five months in, the two prioritized platforms outperformed the third by 4× exactly per plan. Combined monthly reach passed 290,000 — a 36× lift.
03. I built the RFP system as real software, not templates. The platform scans for new RFPs continuously. It weighs each one against the author's own body of work, organized through retrieval — a RAG index of their writing, past wins, and positioning. Every morning it sends a report: the live RFPs, ranked, each with a partial response already drafted. The author opens the inbox to a head start, not a blank page. The RFP process got smooth enough that volume stopped being the bottleneck.
I have run complex, multi-million-dollar RFPs before — enterprise cybersecurity procurement, earlier in my career. I know what a buyer's evaluation committee actually reads. The software encodes that judgment so it fires on every RFP, not only the ones I touch. RFP-to-close rate doubled inside six months. The two largest engagements that closed were both six-figure retainers.
04. I handed it off, and stayed on retainer for ongoing strategy. The work is not "I'm the agency now." The work is "you have the system, I'm the second brain on call when the platforms change." Algorithm shifts, new platform launches, policy changes that reshape the buyer's landscape — that's the retainer. The execution belongs to the author's team.
Outcome
- Monthly reach: ~8,000 → 290,000+ in five months (36× lift)
- RFP-to-close rate: doubled inside six months
- A working RFP-scanning platform — retrieval-ranked, partial responses drafted daily
- Two active six-figure retainer engagements landed in the window
- Two platforms outperforming the third by 4× — exactly per plan
- A 25-page playbook handed off so the author's content lead can execute without supervision
- A second-brain retainer for the platform shifts that come next
- An author who is no longer worried about one platform's bad day taking out their whole funnel
Micah does the work that most strategy decks promise and never deliver.