Editorial Calendar Research

Research topics for your editorial calendar

Build workflows that combine SERP data from the SerpAPI step with your content index to surface data-backed topic suggestions that fill real gaps.

Editorial Calendar Research· running
What should we publish next quarter to fill our biggest gaps?
search_serp-Top-10 SERP per 120 candidate topics across 3 priority pillars
read_corpus-Cross-checked each topic against embedded index
competitor_landscape-KD + ranking competitor depth per topic
score_priority-23 high-fit topics · ranked by ceiling × winnability
Sequence the top 4 topics into an 8-week publish plan.
Ask about your website content…
SerpAPISearch ConsoleAI Overview & Snippet Capt…
Claude Sonnet
AI-generated answers can be wrong or incomplete. Verify anything important before you rely on it.

Illustrative preview - actual platform experience may differ.

How it works

How it works

Data-backed editorial planning in three steps.

01

Set your focus areas

Input target topics, keywords, or content pillars. Or ask the AI to suggest focus areas based on your existing content clusters.

02

Research & cross-reference

Workflows use the SerpAPI step for SERP data and check every suggestion against your content index to ensure it's genuinely new territory.

03

Plan with confidence

Get topic suggestions with SERP context, existing content references, and suggested angles for your editorial team.

Capabilities

What you can do

SERP-informed suggestions

Use the SerpAPI workflow step to see what's ranking for your target topics. Get topic suggestions backed by real search data, not guesswork.

Content-aware planning

Every suggestion is checked against your existing index. The AI only recommends topics that fill genuine gaps in your current coverage.

Publishing pattern analysis

Ask the AI to analyze your historical publishing patterns. See which topics you've neglected and where timely content could win traffic.

Performance-driven research

Cross-reference Search Console data with content gaps. Ask the AI to prioritize topics where you have ranking potential but no dedicated content.

Cluster-aware suggestions

Topic suggestions consider your existing topic clusters. Get recommendations that strengthen thin areas rather than duplicating deep ones.

Brief-ready output

Each topic suggestion includes existing content references, SERP context, and suggested angles - ready to hand off for brief creation.

FAQ

Frequently asked questions

How does Morrison help with editorial planning?

Morrison workflows analyze SERP trends and your content index together to surface data-backed topic suggestions. Instead of guessing what to write next, you get recommendations based on actual search demand and your existing coverage gaps.

Can Morrison create a full editorial calendar?

Morrison provides the research layer – topic suggestions ranked by opportunity, existing content to reference, and competitive data. Your editorial team uses these insights to build and prioritize the actual calendar.

What data sources does the research use?

Morrison combines your crawled site index, Search Console performance data, and live SERP analysis. This three-way cross-reference ensures suggestions account for what you've already published, what's performing, and what's trending in search.

Closed Beta

Ready to understand your content?

Morrison helps your team manage and optimize content at scale. Join the waitlist to get early access.

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