Content Marketing Plan Pack

Payroll Automation for Multi-State Restaurants

1. Context Snapshot

Product: Payroll automation platform purpose-built for multi-state restaurant groups ICP/audience: Finance ops managers at restaurant groups with 20--200 locations across multiple U.S. states Primary goal: Increase qualified demo requests from organic search by 20% in 10 weeks Primary metric: Qualified demo requests attributed to organic search (baseline: current monthly average; target: +20%) Leading indicators (2--3):

1. Organic sessions to target landing pages and blog posts (weekly)
2. Content-to-demo conversion rate (form submissions / organic sessions)
3. Keyword rankings for target queries (positions 1--10 count, tracked weekly)

Timebox: 10 weeks (6-week editorial calendar with 4-week ramp/measurement tail) Primary CTA/offer: Request a personalized demo Constraints:

• Team: 1 marketer (content creation, distribution, calendar management) + 1 SME (tax/compliance expertise for review and quotes)
• Compliance review required on every published piece (tax/legal claims)
• Assume U.S. English only; no international editions
• No paid distribution budget; organic + owned channels only

Primary channels: Company blog (SEO pillar), LinkedIn (repurpose) Spokesperson(s): SME (tax expert) as the named human voice; marketer as ghostwriter/editor

2. Content Market Fit Brief

Audience segment(s): Finance ops managers (titles: Director of Finance Operations, VP of Finance, Controller, Payroll Manager) at multi-unit restaurant groups (20--200 locations) operating across 2+ U.S. states. They report to a CFO or COO. They are evaluated on payroll accuracy, compliance audit results, and cost control.

Top anxieties (ranked):

1. "I'll get blamed for a compliance penalty." Multi-state payroll means juggling different wage laws, tip credit rules, overtime thresholds, and tax withholding rates. A single mistake can trigger audits, fines, and personal blame.
2. "I'm wasting hours on manual reconciliation." They spend disproportionate time on manual data entry, spreadsheet reconciliation, and chasing GMs for timesheets -- time they could spend on strategic finance work.
3. "I'll choose the wrong vendor and regret it." Switching payroll systems is painful and high-stakes. They fear picking a tool that can't handle multi-state complexity, causing more problems than it solves.
4. "I won't be able to keep up with regulatory changes." State labor laws change frequently (minimum wage increases, tip pooling rules, paid-leave mandates). They worry about falling behind.

Jobs-to-be-done (functional + emotional):

• Functional: Run accurate, on-time payroll across all locations and states with minimal manual intervention. Stay compliant with every jurisdiction's wage, tax, and labor rules. Reduce payroll processing time and errors.
• Emotional: Feel confident that nothing is falling through the cracks. Be seen as the person who "fixed" payroll ops. Free up time for higher-value finance work.

Misconceptions / myths:

• "Our general-purpose payroll provider can handle multi-state restaurant complexity just fine." (Reality: generic tools lack tip credit calculations, state-specific overtime, and restaurant-specific scheduling integrations.)
• "We just need a better spreadsheet process." (Reality: manual processes break down at 20+ locations with 3+ states.)
• "All payroll automation platforms are basically the same." (Reality: restaurant-specific features like tip pooling allocation, break compliance tracking, and shift-differential calculations are missing from most platforms.)

Objections to overcome:

• "Switching payroll providers mid-year is too risky."
• "Our current system works well enough."
• "Implementation will disrupt operations at all our locations."
• "How do I know your system actually stays current with every state's laws?"

Core content promises (3--5):

1. "We'll tell you exactly which multi-state rules apply to you -- and what to do about them." (Content type: state-by-state compliance guides, checklists)
2. "We'll show you the hidden costs of manual payroll at scale." (Content type: teardowns, ROI frameworks, calculators)
3. "We'll give you templates and playbooks you can use today -- even before switching systems." (Content type: templates, checklists, downloadable tools)
4. "We'll share real stories of restaurant groups that fixed their payroll mess." (Content type: case studies, before/after teardowns)
5. "We'll keep you ahead of regulatory changes before they bite you." (Content type: regulatory update roundups, compliance alerts)

Why now (timing shifts):

• Multiple states raising minimum wages (effective dates clustered around Jan 1 and Jul 1 each year), creating compliance urgency
• DOL and state labor agencies increasing enforcement on tip credit and overtime violations in the restaurant sector
• Restaurant industry consolidation: groups adding locations across new states, inheriting new compliance obligations
• Post-pandemic labor cost pressure pushing finance teams to automate or risk margin erosion

POV statement (1--2 sentences): Multi-state restaurant payroll is a compliance minefield that generic payroll tools were never built to navigate. Finance ops managers deserve purpose-built automation that eliminates the state-by-state guesswork -- so they can stop firefighting and start leading.

3. Channel + Voice Strategy

Primary channel (commit 4--8 weeks): Company blog (SEO-optimized long-form articles) Secondary channels (repurpose only): LinkedIn (SME personal profile + company page), email newsletter to existing prospects/customers Spokesperson: Tax/compliance SME as the named author and subject-matter voice Natural format: Long-form written guides and checklists (1,500--2,500 words per piece)

Voice rules ("say this / not that"):

Content types to emphasize:

• How-to compliance guides (state-specific)
• Checklists and templates (payroll audit prep, new-state expansion)
• Teardowns (common payroll mistakes and their real cost)
• POV articles (why generic payroll tools fail restaurants)
• Regulatory update roundups (quarterly or triggered by law changes)

Repurposing plan:

Review workflow:

1. Marketer drafts (AI-assisted outline + first draft) -- 2--3 days
2. SME (tax) reviews for accuracy of all compliance/tax claims -- 1--2 days
3. Compliance review (final sign-off on legal/regulatory statements) -- 1--2 days
4. Marketer publishes + distributes -- same day as sign-off Total turnaround: ~5--7 business days per piece

4. SEO Demand-Validated Topic Map

SEO rule applied

No topic is included in the "Approved SEO" category below without a documented demand signal. Topics with weaker signals are marked "To Validate" with concrete next steps.

Topic cluster structure

Pillar page: "The Complete Guide to Multi-State Restaurant Payroll Compliance" Supporting posts: State-specific guides, process how-tos, mistake teardowns, comparison/evaluation pieces

Approved SEO Topics

To-Validate Topics

Thought Leadership Topics (Non-SEO, Distribution-Driven)

5. Prioritized Backlog

Scoring: Impact (1--3) x Confidence (1--3) / Effort (1--3). Higher = do first.

6. Editorial Calendar (6 Weeks)

Capacity math: 1 marketer producing ~1 long-form SEO piece + 1 shorter piece (TL/checklist) every 2 weeks, with SME review windows. That yields ~3 long-form SEO articles + 2--3 shorter pieces + repurposing across 6 weeks. Calendar below reflects this constraint.

Notes:

• Weeks 7--10 are the measurement/iteration tail: monitor performance, refresh underperforming pieces, publish "to validate" topics that clear demand checks, continue repurposing.
• "New state expansion payroll checklist" (backlog #8) is slotted for Week 7 if capacity allows.

7. Content Briefs (3)

Brief 1: Tip Credit Compliance by State -- A Guide for Multi-State Restaurant Groups

Title (working): "Tip Credit by State: The 2026 Compliance Guide for Multi-State Restaurant Groups" Type: SEO Primary audience: Finance ops managers and payroll leads at restaurant groups operating in 2+ states Target query + intent: "tip credit by state" / "tip credit rules restaurant" -- Informational. Searcher wants to understand which states allow tip credits, how much, and what conditions apply. Thesis / POV (1--2 sentences): Tip credit rules are the single biggest compliance risk for multi-state restaurant payroll -- and most "by state" guides are either outdated, incomplete, or written for lawyers instead of finance teams. This guide gives you the exact table, the audit triggers, and the action checklist.

"Information gain" commitments (pick 2+):

• Artifact (template/checklist): Downloadable state-by-state tip credit comparison table (state, tip credit allowed Y/N, maximum tip credit amount, tipped minimum wage, conditions/restrictions, effective date, audit risk notes). Plus a "Tip Credit Compliance Audit Checklist" (12 items).
• Example / teardown: Walk through a real-world scenario: a 50-location restaurant group expanding from Texas (full tip credit) to California (no tip credit) and Minnesota (partial) -- what changes in their payroll configuration and what mistakes to avoid.
• Opinion / tradeoff: "If you operate in even one no-tip-credit state, your entire payroll process needs to account for the exception. Most groups try to handle this with a spreadsheet override -- that's where audits start."

Outline (H2/H3):

• H2: What is a tip credit and why does it matter for multi-state restaurants?
  • H3: The federal baseline (FLSA)
  • H3: Why state rules override federal -- and why that's the compliance trap
• H2: Tip credit rules by state (2026 comparison table)
  • H3: Full tip credit states
  • H3: Partial tip credit states
  • H3: No tip credit states
  • H3: States with pending legislation
• H2: Scenario teardown -- expanding from Texas to California and Minnesota
  • H3: What changes in payroll configuration
  • H3: The 3 mistakes this group made (and the cost)
• H2: Top audit triggers for tip credit violations
  • H3: Record-keeping failures
  • H3: Tip pooling miscalculations
  • H3: Failure to notify employees
• H2: Tip credit compliance audit checklist (12 items)
• H2: How payroll automation eliminates tip credit guesswork
• H2: Next steps

Proof assets needed:

• SME (tax): Verify all state-by-state tip credit amounts and effective dates; provide 1--2 real anonymized examples of audit triggers encountered
• Current DOL and state labor agency sources for tip credit rules
• Anonymized scenario data (or SME-constructed realistic scenario)

Internal links: Link to pillar page ("Multi-State Payroll Compliance Guide"), link to overtime rules guide (when published), link to demo request page External references (optional): DOL Fact Sheet #15, relevant state labor agency pages CTA: "See how [Product] automates tip credit calculations for every state you operate in. Request a demo."

Distribution checklist:

• Publish on blog with proper H1/meta/schema
• Email newsletter blast (day of publish)
• LinkedIn post #1 from SME profile: "The most expensive payroll mistake I see restaurant groups make..." (day of publish)
• LinkedIn post #2: State comparison table as image/carousel (day +2)
• LinkedIn post #3: Checklist teaser -- "12 things auditors check first" (day +5)
• Internal link from pillar page once pillar is published

Risks:

• State tip credit rules change frequently; piece needs a "last updated" date and a quarterly review commitment
• Compliance review required: all state-specific dollar amounts and legal thresholds must be verified by SME before publish
• Scenario teardown must use anonymized/composite data to avoid identifying any real customer

Brief 2: The Hidden Cost of Manual Payroll at Multi-State Restaurant Groups (ROI Teardown)

Title (working): "What Manual Payroll Actually Costs a 50-Location Restaurant Group (We Did the Math)" Type: SEO Primary audience: Finance ops managers evaluating whether to switch from manual/semi-manual payroll to automation Target query + intent: "payroll automation ROI" / "restaurant payroll automation" -- Commercial investigation. Searcher is evaluating whether automation is worth the investment and wants data. Thesis / POV (1--2 sentences): The real cost of manual multi-state payroll isn't the payroll clerk's salary -- it's the invisible hours lost to reconciliation, the penalties from compliance gaps, and the strategic finance work that never gets done. Most ROI calculators miss the restaurant-specific costs entirely.

"Information gain" commitments (pick 2+):

• Framework: A "Total Cost of Manual Payroll" framework with 5 cost categories specific to multi-state restaurants: (1) Direct labor (processing hours), (2) Error correction and reprocessing, (3) Compliance penalties and audit costs, (4) Opportunity cost (strategic work deferred), (5) Turnover cost (payroll errors cause employee churn in restaurants).
• Original data: Construct a realistic cost model for a 50-location, 5-state restaurant group using industry benchmarks (average payroll processing time per employee, average error rate, average penalty per violation). SME to validate assumptions.
• Artifact (template/checklist): Downloadable ROI worksheet -- readers can input their own location count, state count, and current process to estimate their costs.

Outline (H2/H3):

• H2: Why "payroll cost" is the wrong question (the iceberg model)
• H2: The 5 hidden cost categories for multi-state restaurant payroll
  • H3: Direct processing labor
  • H3: Error correction and reprocessing time
  • H3: Compliance penalties and audit exposure
  • H3: Opportunity cost (what your finance team isn't doing)
  • H3: Employee turnover from payroll errors
• H2: Worked example -- a 50-location, 5-state restaurant group
  • H3: Assumptions and inputs
  • H3: Cost breakdown by category
  • H3: Total annual hidden cost
• H2: What changes with purpose-built automation
  • H3: Which costs go to zero
  • H3: Which costs shrink (and by how much)
• H2: ROI worksheet -- calculate your own numbers
• H2: "But switching is expensive and risky" -- addressing the objection
• H2: Next steps

Proof assets needed:

• SME (tax): Validate penalty ranges and audit cost assumptions; provide context on typical compliance violation costs in restaurant payroll
• Industry benchmarks: IRS penalty data, DOL enforcement statistics, restaurant industry payroll processing time benchmarks (from industry reports or anonymized internal data)
• Downloadable ROI worksheet (marketer to create in Google Sheets or as interactive web tool)

Internal links: Link to pillar page, link to "How to Switch Payroll Providers" guide (when published), link to demo page External references (optional): IRS penalty schedules, DOL enforcement data, National Restaurant Association workforce data CTA: "Plug in your numbers and see what manual payroll is really costing you. Then request a demo to see the alternative."

Distribution checklist:

• Publish on blog
• Email newsletter with subject line: "We calculated the real cost of manual payroll for a 50-location group"
• LinkedIn post #1 from SME profile: "The number that shocks restaurant CFOs..." (key stat from the teardown)
• LinkedIn post #2: The 5-cost-category framework as a visual
• Share ROI worksheet link in relevant restaurant industry LinkedIn groups / communities

Risks:

• Cost estimates must be clearly labeled as illustrative/modeled, not guaranteed outcomes
• Compliance review: penalty figures and legal claims must be verified
• ROI worksheet inputs should be conservative; avoid inflated savings claims

Brief 3: 7 Multi-State Payroll Mistakes That Cost Restaurant Groups Thousands

Title (working): "7 Multi-State Payroll Mistakes That Cost Restaurant Groups Thousands Every Year" Type: SEO (teardown) Primary audience: Finance ops managers and payroll leads at multi-state restaurant groups who suspect they have payroll problems but aren't sure where Target query + intent: "multi-state payroll mistakes" / "payroll compliance mistakes restaurant" -- Informational. Searcher is looking for common pitfalls to audit their own process. Thesis / POV (1--2 sentences): The most expensive multi-state payroll mistakes aren't the ones you know about -- they're the ones you've been doing for years without realizing. Here are the 7 we see most often in restaurant groups, with real cost estimates and the fix for each.

"Information gain" commitments (pick 2+):

• Example / teardown: Each of the 7 mistakes gets a concrete scenario with estimated cost impact. Example: "Mistake #3: Applying Texas overtime rules to your Illinois locations -- this costs a 30-location group approximately $X per year in back-pay exposure."
• Opinion / tradeoff: Strong editorial position on each mistake: "This one is forgivable at 5 locations. At 50, it's negligence." Specific recommendations on which to fix first based on risk and cost.
• Artifact (template/checklist): "Multi-State Payroll Audit Checklist" -- a self-assessment readers can run on their own payroll process to check for each of the 7 mistakes.

Outline (H2/H3):

• H2: Why multi-state restaurant payroll breaks in predictable ways
• H2: Mistake #1 -- Using one state's rules as the default for all states
  • H3: Why it happens
  • H3: What it costs
  • H3: The fix
• H2: Mistake #2 -- Miscalculating tip credits across state lines
• H2: Mistake #3 -- Applying the wrong overtime rules by state
• H2: Mistake #4 -- Missing state-specific new hire reporting deadlines
• H2: Mistake #5 -- Failing to update withholding when employees work across locations
• H2: Mistake #6 -- Not tracking break compliance in states that mandate it
• H2: Mistake #7 -- Running payroll on a system that wasn't built for restaurants
  • H3: What "restaurant-specific" actually means in payroll
• H2: Self-assessment -- the multi-state payroll audit checklist
• H2: Which mistakes to fix first (prioritization framework)
• H2: Next steps

Proof assets needed:

• SME (tax): Validate each mistake scenario; provide or confirm cost estimates and audit risk levels; contribute 1--2 anecdotes (anonymized)
• DOL enforcement examples or IRS penalty data to support cost claims
• Self-assessment checklist (marketer to create based on the 7 mistakes)

Internal links: Link to pillar page, link to tip credit guide, link to overtime rules guide, link to demo page External references (optional): DOL enforcement press releases (restaurant sector), IRS payroll penalty guidelines CTA: "If you checked 'yes' to 3 or more of these -- request a demo to see how [Product] prevents them automatically."

Distribution checklist:

• Publish on blog
• Email newsletter: "How many of these 7 payroll mistakes is your team making?"
• LinkedIn post #1 from SME: "The #1 payroll mistake I see in restaurant groups (and it's not what you think)"
• LinkedIn post #2: "Which of these 7 payroll mistakes costs the most?" (poll or engagement post)
• LinkedIn post #3: Checklist teaser

Risks:

• Cost estimates must be labeled as illustrative ranges, not guarantees
• Compliance review: all legal/regulatory claims in the 7 mistakes must be verified by SME
• Avoid identifying real companies in scenarios; use composite/anonymized examples

8. Flagship Asset -- Draft Outline

Selected brief: Brief 3 -- "7 Multi-State Payroll Mistakes That Cost Restaurant Groups Thousands Every Year"

Draft Outline

Title: 7 Multi-State Payroll Mistakes That Cost Restaurant Groups Thousands Every Year

Meta description: Multi-state restaurant payroll is full of hidden traps. Here are the 7 most common mistakes we see -- with real cost estimates and a self-assessment checklist to audit your own process.

Introduction (200 words) Open with a specific scenario: "Last year, a 45-location restaurant group across 4 states discovered they'd been miscalculating tip credits in one state for 18 months. The back-pay exposure: $180,000." State the thesis: multi-state payroll breaks in predictable ways, and the costliest mistakes are the ones hiding in plain sight. Preview: 7 mistakes, real cost estimates, and a self-assessment checklist.

H2: Why Multi-State Restaurant Payroll Breaks in Predictable Ways (150 words) Briefly explain the structural problem: every state has its own wage, tax, tip, overtime, and reporting rules. Restaurant-specific complications (tipped employees, variable schedules, high turnover) multiply the complexity. Most payroll processes were designed for a single state or a single type of business -- not multi-state restaurants.

H2: Mistake #1 -- Using One State's Rules as the Default for All States (250 words)

• Why it happens: The group started in one state and expanded. Payroll was configured for the home state and never fully reconfigured for new states.
• What it costs: Scenario -- a Texas-based group expands to New York. They continue applying Texas tipped minimum wage ($2.13/hr) instead of New York's ($10.00/hr). Back-pay exposure per affected employee: $X,XXX/year.
• The fix: State-by-state payroll audit at each expansion; automated state-rule engine.

H2: Mistake #2 -- Miscalculating Tip Credits Across State Lines (250 words)

• Cross-reference to the Tip Credit Compliance guide
• Scenario: applying tip credits in a state that doesn't allow them
• Cost estimate + fix

H2: Mistake #3 -- Applying the Wrong Overtime Rules by State (250 words)

• Example: daily overtime (California) vs. weekly overtime (most states)
• Cost of applying the wrong threshold to even 10 employees
• Fix: state-aware overtime calculation

H2: Mistake #4 -- Missing State-Specific New Hire Reporting Deadlines (200 words)

• Deadlines vary (some states: 15 days, others: 20 days)
• Penalties for late reporting
• Fix: automated new hire reporting by state

H2: Mistake #5 -- Failing to Update Withholding When Employees Work Across Locations (250 words)

• Common in restaurant groups where staff float between locations
• Tax withholding must reflect the work state, not the home location
• Cost estimate: incorrect withholding creates year-end tax surprises for employees and audit risk for employer
• Fix: location-aware payroll that tracks actual work state

H2: Mistake #6 -- Not Tracking Break Compliance in States That Mandate It (200 words)

• Some states (California, Oregon, etc.) have strict meal/rest break requirements with penalties for non-compliance
• Restaurant environments are high-risk for break violations
• Fix: integrated scheduling + payroll that flags break compliance

H2: Mistake #7 -- Running Payroll on a System That Wasn't Built for Restaurants (300 words)

• What "restaurant-specific" actually means: tip pooling allocation, shift differentials, tipped/non-tipped rate tracking, seasonal workforce fluctuation, POS-to-payroll integration
• Why generic payroll tools create workaround debt
• The tipping point: at ~20 locations across 2+ states, workarounds become unsustainable

H2: Self-Assessment -- The Multi-State Payroll Audit Checklist (checklist format)

• 7 yes/no questions (one per mistake)
• Scoring guide: "If you answered 'yes' to 3 or more, you have material compliance risk"

H2: Which Mistakes to Fix First (200 words)

• Prioritize by: (1) regulatory penalty risk, (2) annual cost exposure, (3) ease of fix
• Recommended order: #1 and #2 first (highest penalty risk), then #5 (employee impact), then #7 (systemic fix)

CTA: "Request a Demo" (100 words)

• "If this checklist surfaced problems you didn't know you had, that's the point. [Product] was built specifically for multi-state restaurant groups -- so you don't have to manage state-by-state rules manually. Request a demo to see how it works for your locations."

Fact/Claim Check List (for SME + compliance review)

Status: All claims require SME verification before publish. No claims should go live without compliance sign-off.

9. AI-Assisted Content SOP

Allowed AI uses:

• Generating outlines and content structures from briefs
• Writing first drafts based on approved outlines and SME notes
• Rewriting for clarity, readability, and SEO optimization
• Generating headline/intro variants for testing
• Consistency checks against voice rules
• Summarizing research sources for the writer

Disallowed AI uses:

• Inventing facts, statistics, penalty amounts, or dollar figures
• Creating fake customer quotes, case studies, or testimonials
• Making legal or compliance claims without SME verification
• Auto-publishing any content without human review
• Generating state-specific regulatory information without source verification

Human review required (checklist):

• Fact/claim check completed: Every regulatory claim, dollar amount, and penalty range verified against official sources by SME
• Information gain present (2+): Piece includes at least 2 of: specific opinion, concrete example/teardown, reusable artifact, unique framework, original data
• Voice rules satisfied: First-person voice where appropriate; no corporate filler; specific opinions stated; tradeoffs acknowledged
• Compliance/brand review: All tax/legal claims reviewed and approved by SME and compliance reviewer before publish

Citations/source handling:

• Cite official sources (DOL, IRS, state labor agencies) for all regulatory claims
• Paraphrase industry benchmarks with source attribution
• Never fabricate references or link to non-existent pages
• When using industry statistics, note the source and date

Versioning:

• v0: AI-generated outline + first draft (marketer reviews for structure and voice)
• v1: Human-edited draft (marketer adds examples, voice, information gain; fixes AI errors)
• v2: SME-reviewed draft (tax/compliance expert verifies all claims)
• v3: Final -- compliance-approved, published version

10. Measurement Plan

Primary metric: Qualified demo requests attributed to organic search

• Baseline: current monthly average (to be established in Week 1)
• Target: +20% over baseline within 10 weeks

Leading indicators:

1. Organic sessions to content pages -- weekly tracking via Google Analytics. Target: 30% increase in content page organic sessions by Week 8.
2. Content-to-demo conversion rate -- demo form submissions / organic sessions to content pages. Target: maintain or improve current rate (if currently unknown, establish baseline in Weeks 1--2).
3. Keyword ranking positions -- tracked weekly for target queries (8 SEO topics). Target: 4+ target keywords in positions 1--10 by Week 10.

Attribution approach (good-enough):

• UTM parameters on all CTAs in blog posts (utm_source=blog, utm_medium=organic, utm_campaign=[slug])
• Google Analytics organic traffic to content pages with goal tracking on demo request form
• For LinkedIn-sourced demos: UTM on links in LinkedIn posts; self-reported attribution on demo request form ("How did you hear about us?")
• Acknowledge: attribution will be imperfect. Focus on directional trends, not exact numbers.

Dashboards/events needed:

• Google Analytics: custom report for organic traffic to blog content pages, with demo request goal completions
• Google Search Console: ranking position tracking for target queries
• Simple spreadsheet tracker: weekly row with organic sessions, demo requests, conversion rate, keyword positions

Weekly review agenda (15 min, marketer + SME):

1. Organic sessions to content pages (up/down/flat vs. prior week)
2. Demo requests from organic (up/down/flat)
3. Keyword ranking changes for target queries
4. Top-performing piece this week (what's working)
5. Underperforming piece (needs action?)
6. Next week's publish schedule confirmation
7. Any blockers (SME availability, compliance review delays)

Decision rules:

11. Risks / Open Questions / Next Steps

Risks

Open Questions

1. What is the current baseline for organic demo requests? The 20% target needs a baseline. Action: Marketer pulls current monthly average in Week 1.
2. Does the product have existing blog content that should be refreshed/consolidated? Action: Marketer audits existing blog in Week 1 and identifies consolidation opportunities.
3. Who specifically handles compliance review -- is it the SME (tax) or a separate legal/compliance team? Assumption: SME handles compliance review. If a separate team exists, add their turnaround time to the calendar.
4. Are there existing customers willing to provide anonymized case study data? This would strengthen briefs #2 and #3 significantly. Action: Marketer checks with sales/CS team by Week 2.
5. What is the product's current keyword ranking profile? Action: Run a baseline Google Search Console or Ahrefs audit in Week 1 to identify existing rankings and quick wins.
6. Is there a preferred spokesperson title/name for the byline, or will it be a generic "team" byline? Assumption: SME is the named author. Confirm.

Next Steps (first 2 weeks)

Quality Gate: Checklist + Rubric Self-Score

A) Pack Completeness Checklist

• Context snapshot includes ICP, metric, timebox, CTA, constraints
• Content market fit brief lists anxieties + promises + objections
• Channel + voice strategy names a human spokesperson and one primary channel
• Topic map separates SEO vs thought leadership topics
• Every SEO topic has a demand signal (or is clearly marked "to validate")
• Editorial calendar has owners, review dates, CTAs, and distribution channels
• At least 3 content briefs are included and are draft-ready
• AI-assisted content SOP includes allowed/disallowed uses + human checks
• Measurement plan includes cadence + decision rules
• Risks / Open questions / Next steps are included

B) Rubric Self-Score

End of Content Marketing Plan Pack.