How Barie builds a 90-day content calendar for your SaaS blog — prioritised by SEO opportunity and buyer journey stage
Live data changes the composition of the calendar. Keyword research from Ahrefs reveals demand patterns the team would not brainstorm. Competitor content crawls reveal what is already ranking and what gaps exist. Buyer intent analysis from SERP patterns reveals which stage of the funnel specific queries map to. The 90-day calendar built from this data looks materially different from the one built in a meeting.
Barie builds the calendar from research, not assumptions: Every topic in the 90-day output has a target keyword with a current Ahrefs volume figure, a buyer journey stage classification derived from SERP intent analysis, and a competitor coverage note showing whether the space is contested or open. Editorial judgment comes after the data, not instead of it.
Your prompt
Task prompt
“Build a 90-day content calendar for our SaaS blog, prioritised by SEO opportunity and buyer journey stage.”
1
Four Connectors Activated
Step 1: Four connectors activated — keyword demand, competitor content cadence, buyer intent, and SERP features
Barie Content Strategy Stack · 90-Day Calendar · Live Research
4 connectors · parallel
Ahrefs
Queries keyword data for the target topic cluster defined by your SaaS category. Retrieves monthly search volume, keyword difficulty, and trend direction for every identified keyword. Also pulls organic traffic data for competitor blog domains to identify which content types and publishing frequencies are generating the most traffic growth.
Keyword demand · trends
Firecrawl
Crawls the blog and content hub of the three most visible competitors in your category. Maps their publishing frequency, topic clusters, and the ratio of ToFu to MoFu to BoFu content. Identifies both their active content strategy (what they are publishing now) and gaps in their coverage that the calendar can exploit.
Competitor cadence · gaps
Deep Research
Analyses SERP intent for the top 50 keyword opportunities identified by Ahrefs. Intent classification goes beyond the informational vs commercial vs transactional taxonomy — it maps to specific buyer journey stages like problem awareness, exploration, solution comparison, vendor evaluation, and purchase. Every topic in the calendar is assigned the stage that drives the highest pipeline contribution for SaaS.
Buyer intent mapping
Web Research
Retrieves current industry trend reports, analyst coverage, and emerging topics in the SaaS category that are building search momentum but have not yet peaked. Topics with rising search volume and low current competition are prioritised for weeks 10 to 13 of the calendar — they will be at peak volume by the time the content is indexed and ranking.
Emerging trends · timing
2
The 90-Day Calendar — Sample Weeks
Step 2: The 90-day calendar — topic, keyword, funnel stage, volume, and publishing week for every entry
13
Publishing weeks in the 90-day
window
window
26
Articles in the calendar (2 per
week)
week)
84K
Total monthly search volume
coverage
coverage
8
BoFu entries in weeks 1 to 6
(high-intent quick wins)
(high-intent quick wins)
Week
Topic and target keyword
Stage
Volume
KD
Wk 1
AI customer service ROI calculator and template
ai customer service roi
BoFu
3,400
22
Wk 1
Customer service automation pricing guide 2025
customer service automation cost
BoFu
2,200
19
Wk 2
How to reduce support ticket volume by 40% — tactics
reduce customer support tickets
MoFu
2,900
27
Wk 3
What is deflection rate in customer service — the complete guide
deflection rate customer service
ToFu
1,800
21
Wk 4
Best AI chatbots for SaaS companies — compared and ranked
best ai chatbot saas
BoFu
4,100
44
The first six weeks are weighted toward BoFu and low-difficulty MoFu keywords: High-intent, easier-to-rank content generates pipeline impact within 30 to 60 days of publishing. Weeks 7 through 13 shift toward higher-volume ToFu topics that build audience and authority for longer-term compounding. The calendar architecture reflects how SaaS content compounds over a quarter, not just week-by-week publishing for its own sake.
3
Delivered to Content Workflow Tools
Step 3: The 90-day calendar delivered to your content production workflow
Airtable
Full 26-article calendar database with all fields — keyword, volume, KD, stage, week, writer assignment, and status.
Notion
Calendar document with editorial rationale for each entry and the competitor context that validates each opportunity.
Google Sheets
Calendar spreadsheet with Gantt-style week view for editorial planning and stakeholder review.
Asana
26 content production tasks created — one per article — with brief, keyword, stage, and target publish date attached.
HubSpot
Blog campaign records created for each funnel stage cluster with content performance tracking configured.
Slack
Content team weekly brief posted every Monday with the week’s two articles, keywords, and word count targets.
Gmail
Marketing leadership summary email with the 90-day calendar overview: traffic projection, and pipeline impact estimate.
Google Slides
Quarterly content strategy deck — keyword opportunity map, calendar overview, and projected traffic ramp by month.
The Verdict
A content calendar built by brainstorming reflects what your team already knows. A content calendar built from live Ahrefs demand data, competitor publishing analysis, and SERP intent mapping reflects what your potential customers are actually searching for at each stage of their buying journey. The 90-day calendar Barie produces has a research source for every entry. Every topic has a volume figure, a difficulty score, and a competitor or SERP reference that confirms the opportunity is real. That is the difference between a publishing schedule and a traffic strategy.
Barie features used in this task
Feature
ChatGPT
Perplexity
Barie
Live Ahrefs Keyword Data — current volume and difficulty for every topic output, not estimated or assumed
✗
✗
✓
Competitor Publishing Analysis — Firecrawl maps competitor content cadence and topic distribution to find unclaimed ground
✗
✗
✓
Buyer Journey Stage Mapping — SERP intent analysis assigns each topic to the stage that drives the highest pipeline contribution
✗
✗
✓
