AI Marketing OpsB2B SaaS

An AI content-brief engine that gives writers back 45 minutes per brief

How brand knowledge, live SEO data and one repeatable template turned a slow, manual research process into a ready-to-review brief.

CLIENT
B2B software company
INDUSTRY
B2B SaaS
SERVICES
AI-Assisted Marketing Ops, SEO & AEO
YEAR
2026
~45 min
Saved on every content brief
38+
Internal docs as the source of truth
60
Briefs delivered each quarter
The challenge

What stood in the way.

Every brief meant pulling keyword data, reviewing what already ranked, checking the existing site for internal-link opportunities, and re-reading brand and product guidelines so the writer got the details right.

The work was repetitive, it varied from brief to brief, and it slowed down how fast the team could create new content and get it published.

The approach

One assistant that already knows the brand and the data.

01

Centralize the knowledge

Loaded 38+ internal docs (voice, personas, product details) so every brief starts on-brand.

02

Connect live SEO data

Ahrefs and Screaming Frog connections pull keywords, competing pages and site structure on demand.

03

Standardize the output

One template covers intent, outline, AEO questions and internal links, the same way every time.

04

Keep a human in the loop

Every brief is reviewed before it reaches a writer, so speed never costs quality.

What was delivered

What was provided.

  • 38+ doc knowledge base
  • Brief template tuned for search and LLM citation
  • Keyword and crawl research built into each brief
  • Iterations based on feedback from the team
  • Rollout to the team for regular use
Tools used
  • Claude Projects
  • Ahrefs MCP
  • Screaming Frog MCP
  • Brand and product docs
The takeaway
AI is most useful when it is grounded in your own documents. That is what turns a generic brief into one with product depth.

Have a project like this?

Tell me what you're working on and I'll come back with how I'd approach it.