Content Strategy

I didn't find a product-marketing context file, so this plan rests on your brief plus a few assumptions. They are:

• US-based firms, so tax season runs January to April.
• About 1 to 1.5 posts per week is realistic for two people.
• No keyword data or customer-call data yet.

Treat the scores below as hypotheses until you validate them.

1. Content pillars

I'd skip an "advisory services" pillar for now. It's a good topic, but it dilutes a team of two.

Cluster map

A. Bookkeeping automation  (HUB: complete guide)
├── Bank reconciliation automation  ─┐
├── Transaction categorisation        ├─ link to C (QBO / Xero)
├── Glossary of automation terms     ─┘
B. Capacity & profitability
├── Hourly-billing opinion piece
├── Product-data piece: where firm time actually goes
└── ROI / hours-saved calculator  → links to A hub + demo
C. Stack & integrations
├── QuickBooks Online automation
├── Xero automation
├── "[Competitor] alternatives"
└── Best bookkeeping automation software for accounting firms
D. Client workflow
├── Client document collection (stop chasing)
├── Month-end close checklist (template)
└── Busy-season roundup (15 firm owners)
Cross-cutting: Stats roundup, case study, behind-the-scenes post

Every spoke links up to its hub. Every C piece links to the matching A spoke. Every piece ends with one CTA, either the demo or the calculator.

2. How to prioritise

Score each idea 1–10 on Customer Impact (40%), Content-Market Fit (30%), Search Potential (20%) and Resources (10%). Rank by the weighted total. Illustrative scores:

Two adjustments to the raw ranking:

• The hub ships first even though it scores lower. The spokes need something to link to.
• The stats roundup ships despite its score. Foundation Inc.'s B2B backlink study (a single-vendor study, so directional) found these pages earn about 4x the links relative to their share of pages. They're cheap, and the stats are easy for LLMs to cite.

To replace my guesses with evidence, spend an hour on the Impact score. Pull your last 10 sales calls and support tickets, and tally which pains recur. Then check volumes in Search Console and a keyword tool.

3. Q1 2027 calendar (Jan 4 – Apr 2): 16 pieces

The split is 10 searchable (about 60%), 5 shareable (about 30%) and 1 experimental (about 10%). I over-weighted searchable because a 12-post blog needs a base.

Pre-work (December):

• Audit the 12 existing posts. Refresh or consolidate the best 2–3 as early cluster spokes.
• Start the roundup outreach now, because experts take weeks to reply.
• Pull anonymised product data for the data piece.

Timing: your readers are buried from February to April. Front-load production in January and February. In March, spend the time on distribution and refreshes rather than new heavy pieces.

The case study depends on a willing customer, so ask in December. If none is available, swap in a second data piece.

4. Execution rules for a two-person team

• Split by role, not by post. One person owns research, SEO and briefs. The other owns drafting, editing and distribution. Swap on the flagships.
• Per post: write 10 title options before drafting, and plan about 5 editing passes.
• Distribute twice. Write subheads and stats so they work as standalone social posts. Send every piece to the email list, since owned channels convert. Reuse flagships (hub, roundup, data piece) as LinkedIn posts and a newsletter issue.
• Measure monthly. Track organic clicks and rankings per cluster, demo requests from blog, backlinks to the stats page, and email signups. After week 6, re-rank the remaining pieces using what's ranking.

What I need from you to tighten this

1. Notes from your last 10 sales calls or support tickets.
2. Your top 3–5 real competitors.
3. Which of your 12 existing posts get traffic or conversions.
4. Whether your customers are US-based, which affects the busy-season timing.

I can turn any row of the calendar into a full brief, with title options, target keyword, outline and internal links.