Content operations for solopreneurs

The playbook

1. 1

   Build the ideation engine — ideas come from signals, not intuition

   Your AI Head of Content runs a weekly ideation flow: (1) GSC mining for high-impression low-CTR queries to turn into better content; (2) Reddit/HN/X signal scan for questions your ICP is asking; (3) sales call + support ticket mining (Carta's pattern — every objection becomes a content piece); (4) competitor content gap analysis via Ahrefs. Output: 10-30 ideas per week with target keyword, intent, angle, and format (blog / compare / alternatives / thread / video). Founder picks the top 5-10 to ship this week.

   AI Head of ContentGSCReddit/HN monitorAhrefsSales call transcripts
2. 2

   Template the draft — never start from a blank page

   Every piece gets produced from a registered template (alternatives, compare, playbook, listicle, how-to, thread, video script). Your AI Writer picks the template, pulls the keyword brief + ideation context, and drafts. The founder never reviews a first draft — the AI Editor does, checking structure, answer-first opening, quotable 134-167 word blocks, schema-ready FAQ, internal links, title/description limits. Founder reviews the editor's output, not the raw draft. This cuts founder time per piece from 90 min to 15 min.

   AI WriterAI EditorTemplate libraryKeyword brief generator
3. 3

   Founder voice pass — the one step that cannot be automated

   Every piece gets 10-15 minutes of founder editing for voice, positioning, and specific data. Rules: (1) cut AI tells (corporate filler, hedging, em-dashes in phrases 'not X but Y'); (2) add one specific number or example only you have; (3) sharpen the opening line so it earns the scroll; (4) delete any paragraph that could appear on a competitor's page. This is the 10-15% of founder time that turns AI content into publishable content. Skip it and your pages rank but don't convert.

   Founder's brainVoice checklistAI editor final pass
4. 4

   Publish through automation, never manually

   Your AI Publisher handles: CMS entry (WordPress / Webflow / Next.js MDX), meta tags, OG image generation, internal link injection, schema markup, index request to GSC, sitemap ping, llms.txt regeneration. Target: 0 minutes of founder time from 'approved' to 'live.' If any step requires the founder, automate it. Publishing friction is the #1 killer of content velocity; a 5-minute per-post manual step becomes 4 hours/month at 50 posts.

   AI PublisherCMS APIOG image generatorSchema generatorGSC Indexing API
5. 5

   Distribute once, atomize everywhere

   Every piece gets atomized the day it ships: (1) LinkedIn post with the strongest quote + link; (2) X thread (5-8 tweets) with the strongest section broken down; (3) Reddit cross-post to relevant subreddit (authentic, founder account, disclosure if promotional); (4) email to subscribers if it's a major piece; (5) YouTube short if there's a natural video angle. Your AI distributor drafts each atom; founder reviews in 5 min and schedules. Distribution 4x compounds the value of each piece.

   AI DistributorBuffer / HypefuryReddit monitorEmail platformYouTube scheduler
6. 6

   Refresh on a 60-90 day cycle — 95% of AI citations come from content <10 months old

   AirOps data: 95% of ChatGPT citations come from content updated within 10 months. Your AI Head of Content runs a quarterly refresh audit: any page >60 days old with decaying traffic gets a refresh pass (updated data, new sections, refreshed 'Updated' timestamp — which alone drives +1.8x citations per AirOps). Refresh = update + enhance, not rewrite. Target: refresh 20-30% of the library every quarter. This is why content compounds instead of decays.

   AI Head of ContentContent audit dashboardAI refresher agent
7. 7

   Measure and feed back — every piece is an experiment

   Your AI analyst tags every piece with intent, format, template used, and publication date. Weekly review: which intents drove signups? Which formats drove rank? Which templates compound? Findings go back to the ideation engine as priors — e.g. 'compare/ pages in B2B drive 3x signups vs blog/ pages; write more.' This feedback loop is what separates a content machine from a content graveyard.

   AI AnalystGSC + GA4PostHogContent tagging system

Pitfalls to avoid

• !Shipping AI content without a founder voice pass — it ranks but doesn't convert, and AI search engines learn to skip generic-sounding pages.
• !Treating content as art instead of operations — one perfect post per month loses to 20 good ones when compounding matters.
• !Skipping distribution because 'the content speaks for itself' — it doesn't; first-week signal decides if Google ever ranks it.
• !Never refreshing old content — AI engines heavily favor pages under 10 months old, and you lose citations silently.
• !Using AI to impersonate human reviewers or fake authors — it breaks E-E-A-T, breaks trust, and eventually breaks rankings.