This is the day-by-day plan for building the minimum viable SLG system in 30 days as a solo operator. It assumes you’re working on this alongside a day job, dedicating two to three focused hours per day. If you have full days available, you’ll move faster.
The plan follows the build order from Chapter 13, compressed into four weeks. At the end, you’ll have a working content engine, an outbound system, an inbound response system, a repurposing workflow, and a structured content library with your Brand Brain populated. It won’t be the full system from Part Two, but it will be enough to produce measurable pipeline results within 60 days.
Week 1: Audits, Foundation, and Content Strategy (Days 1 through 7)
Day 1: Content audit
Inventory your existing content. Create the spreadsheet. List every blog post, case study, landing page, one-pager, and sales asset you can find. Don’t filter yet. Just collect. (See Appendix D for the full process.)
Day 2: Content audit continued + context audit interviews
Finish the inventory. Start filtering (Keep, Refresh, Archive, Discard). In the afternoon, interview your best salesperson or the person closest to customers. Use the questions from Appendix D. Record the conversation or take detailed notes.
Day 3: Context audit structuring + process audit:
Structure the interview outputs into the three documents: value prop library, ICP profiles, and competitive positioning. Walk through your current processes for content production, outbound, and inbound lead handling. Document each step. (See Appendix D)
Day 4: Quality audit + tagging taxonomy:
Identify the quality owner for each output type you’ll produce first (blog posts, outbound emails, inbound responses). Have them select and annotate one good example each. (See Appendix F.) Define your tagging taxonomy: the allowed values for persona, buying stage, topic cluster, content type, pain point, and industry.
Day 5: Content strategy for SEO and AEO:
Before you build the engine, you need to know what it’s producing and for whom. Define your keyword targets across both traditional search and AI search (the dual-track approach from Chapter 5). Which terms matter for your ICP? Which questions are your buyers asking ChatGPT and Perplexity? Where are the content gaps in the competitive landscape that you can cover better than what currently ranks? This is Stage 1 human work. Set up your AEO monitoring alongside your SEO tracking from day one. You want baseline visibility numbers before the system starts producing, so you can actually measure the impact.
Day 6: Set up the content library and Brand Brain:
Create your Notion database, Airtable base, or Supabase instance. Set up the schema with all metadata fields from the taxonomy. Load the quality templates, value prop library, ICP profiles, and competitive positioning into the Brand Brain layer. This is the infrastructure everything else connects to.
Day 7: Tag existing content + review:
Take your “Keep” list from the content audit and tag every asset with the full taxonomy. Load them into the library. Budget 5 to 10 minutes per asset. If you have 25 keepers, that’s roughly 3 hours. Use the remaining time to step back and review what you’ve built. Is the taxonomy clear? Are the ICP profiles specific enough? Do the quality templates actually capture what “good” looks like? Adjust anything that feels off.
§Week 2: Content Engine (Days 8 through 14)
Day 8: Build the content workflow:
If you’re using Make or Zapier, build the steps visually. If you’re using FastAPI or custom code, write the orchestration logic. Connect it to the Claude API. Don’t optimize yet. Get the sequence working end to end.
Day 9: Write your first five content briefs:
Use both the gap analysis from your content audit and the keyword/AEO targets from Day 5 to prioritize. Each brief should include the target keyword, search intent, ICP persona, buying stage, competitive angle, and value proposition to reinforce. These briefs are the human input (Stage 1) that determines the quality of everything downstream.
Day 10: Run the workflow on your first brief and review:
Feed one brief through the entire workflow. Review the output against your quality template. Note where the output is strong and where it falls short. Adjust the prompts. This first pass is calibration, not production.
Day 11: Iterate on the workflow:
Run two more briefs through. Refine the prompts based on what you learned on Day 10. The goal by end of day: the workflow produces drafts that are 70% or better publishable after your review pass.
Days 12 through 13: Production mode:
Run the remaining briefs. Review, edit, and publish each article. Tag and store in the library. By end of Day 13, you should have five to seven published articles, each tagged and in the content library. One per day is the target pace.
Day 14: AEO optimization pass:
Go back through the published articles and apply the AEO framework from Chapter 5: direct answer in the first 200 words, FAQ section, schema markup, structured headings. Update the publish dates. This step takes 15 to 20 minutes per article.
§Week 3: Sales Connection (Days 15 through 21)
Day 15: Build the account enrichment workflow:
Set up the workflow that pulls company data, hiring signals, recent news, and tech stack information from your enrichment sources. Test it against five known accounts to verify the data quality.
Day 16: Finalize the value prop library:
Review the value props from your context audit. Tag each one by persona, pain point, use case, and industry. Store in the Brand Brain. You need five to eight tagged value props for the outreach workflow to map against.
Day 17: Build the outreach generation workflow:
Connect the enrichment output to the value prop library. Build the workflow that maps an enriched account brief to matched value props and generates a personalized email draft with a relevant content attachment from the library.
Day 18: Test against ten target accounts:
Run the full outbound workflow (enrichment + value prop mapping + email generation) for ten real target accounts. Review every output. Note where the personalization is strong, where it’s generic, and where it’s wrong. Refine the prompts.
Day 19: Iterate and expand:
Fix the issues from Day 18. Run another ten accounts. The output should be improving. By end of day, you should have 15 to 20 personalized outreach drafts ready for final review.
Day 20: Build the post-call workflow:
Set up the workflow that takes a call transcript (or rep notes) and generates a follow-up email, tags key insights, and stores them in the content library. Test it against one real call transcript.
Day 21: Connect the feedback loop:
Ensure that the insights tagged from sales calls (Day 20) are queryable by the content engine (Week 2). Run a test: can the content workflow find a tagged insight from a sales call and incorporate it into a blog draft? If yes, the loop is connected. If not, troubleshoot the tagging or the query logic.
§Week 4: Inbound and Repurposing (Days 22 through 30)
Day 22: Define lead scoring criteria:
Based on your ICP profiles and historical conversion data, define what makes a lead high-intent, medium-intent, and low-intent. Assign point values to firmographic fit, behavioral signals, and engagement depth. Write the routing rules: high-intent goes to rep with alert, medium gets automated response + nurture, low gets standard nurture.
Day 23: Build the inbound enrichment and response workflow:
Connect form submission to enrichment (reuse the enrichment workflow from Day 15). Add the scoring logic. Build the response generation step that pulls behavioral data and attaches a relevant resource from the content library. Test with a simulated form submission.
Day 24: Build the meeting prep brief generator:
When a meeting gets booked, the workflow generates a brief containing the enriched profile, engagement history, intent signals, matched value props, and relevant proof points. Test it against one real booked meeting.
Day 25: Test the full inbound flow end to end:
Submit a test form. Watch it enrich, score, route, and generate a personalized response. Check the response time (target: under five minutes). Check the personalization quality. Check that the meeting prep brief generates correctly. Fix any breaks.
Day 26: Record your first conversation:
Schedule a customer interview, a podcast pilot, or a structured internal discussion. Prepare using the pre-interview research workflow (or do the research manually if the workflow isn’t built yet). Record with video if possible, audio at minimum. Get a transcript.
Day 27: Build the repurposing workflow:
Feed the transcript in. Generate the asset suite: article, LinkedIn post, newsletter draft, quote cards, sales talking points, content library entries.
Day 28: Review and refine:
Review every output from the repurposing workflow against the quality templates. The article will need the most work. The quote cards and talking points will likely be close to usable. Edit, approve, and tag everything. Store in the content library.
Day 29: Schedule distribution:
Set up the distribution cadence from Chapter 8. Day 1 content goes out immediately. Schedule the quote card for Day 3, the second LinkedIn post for Day 7, the newsletter feature for Day 14. The workflow should handle the scheduling. If not, use your native platform scheduling tools.
Day 30: Audit and plan:
Review everything you’ve built:
- Content library asset count (target: 30 to 50)
- Content engine producing daily (yes/no)
- Outbound workflow generating personalized emails (yes/no)
- Inbound workflow responding in under five minutes (yes/no)
- Repurposing workflow producing 10+ assets from one conversation (yes/no)
Identify the weakest link and make it your focus for weeks 5 through 8.
§What You Have at Day 30
- A Brand Brain populated with your messaging, ICP profiles, competitive positioning, and quality standards
- A structured content library with 30 to 50 tagged assets
- A content strategy covering both traditional search and AI search
- A content engine producing one to two ICP-focused articles per day
- An outbound system generating personalized emails for target accounts based on enrichment data and matched value props
- An inbound system responding to leads in under five minutes with personalized context
- A repurposing workflow that proves one conversation can become ten assets
- A feedback loop where sales call insights flow back into the content library
That’s the minimum viable factory. It took 30 days and cost less than $500 in tooling. Everything from here is iteration, expansion, and compounding.