OllaSuper
⚡ Agents Content Publisher
Marketing · openfang Agent

Content Publisher Agent

Researches deeply, then drafts AEO-optimized blog posts, social copy, and newsletters that are queued for your approval.

Chat with this Agent → How it works
Schedule
Continuous (manual trigger)
Model
OpenAI GPT-4o
openrouter/openai/gpt-4o
Approval
Every draft requires your approval before publish
Content lands in drafts/<format>/ with a sibling .meta.yaml. You review, edit, click approve. Nothing publishes until then.

What it does

Receives a topic + format brief. Researches 3-5 top-ranking pages on the topic via ollagraph_scrape, extracts the language the niche actually uses, identifies a real gap, then drafts AEO-first content (H2s as question phrasings, bullet lists, citable numbers + sources). Every draft includes suggested FAQPage JSON-LD, meta description, and cross-post variants. Queues everything in drafts/ for your approval. Never publishes unilaterally.

Tools it can use

ollagraph
mcp_ollagraph_scrape Read top-ranking content on the topic
mcp_ollagraph_seo_keyword_extract Niche language + ranking keywords
mcp_ollagraph_extract_structured Competitor schema audit
mcp_ollagraph_convert_html_to_markdown Repurpose existing HTML cleanly
web
web_fetch Fallback for ollagraph-blocked URLs
filesystem
file_write Drafts queue in drafts/<format>/
memory
memory_store Cross-piece coherence + house style

Workspace

Paths under /var/lib/openfang/workspace/ this Agent reads or writes:

drafts/blog/drafts/twitter/drafts/linkedin/drafts/newsletter/shared.content.*

Sample interaction

You
Research topic: AEO for SaaS marketers. Target: blog. Don't draft yet.
Content Publisher Agent
**Research summary (what's already covered)** - Basic AEO definition vs SEO — every introductory post covers this - Schema markup (FAQ, How-To, Article) — well-trodden - Platform-specific tips (ChatGPT vs Gemini vs Perplexity preferences) - Citation-frequency as a metric — newer pattern **The gap** Nobody is writing for SaaS marketers specifically. Everything is generic. SaaS marketers think in terms of buyer-journey, product-led growth, ROI — not 'citations' and 'engines.' **Proposed angle** *"AEO for SaaS Marketers: How AI Search Is Reshaping B2B Buyer Research (And What to Do About It)"* 6-section structure: What AEO is (SaaS-framed) → why B2B buyers now research via ChatGPT first → comparison-table optimization → SaaS-specific schema → measuring AEO impact on pipeline → starter framework. Should I draft?