Specialized pipeline vs general agent

Frase is an AI agent with 80+ skills. You drive it through prompts: generate a SERP brief, draft an article, optimize against a keyword, run a brand voice check, publish. Each skill is a node you can route through.

The flexibility is the feature. If your content needs vary (some briefs, some drafts, some audits, some optimizations), the agent adapts. API and MCP access lets you build custom workflows.

Findably doesn't have an agent. The 10-stage pipeline is hard-coded: research, SEO checklist, outline, drafting, humanization, editing, GEO optimization, internal linking, compliance checking, meta generation. Every article runs the same sequence.

Specialization is the feature. Each stage does one thing, which means the drafter writes, the humanizer varies sentence structure, the GEO optimizer restructures for AI citations, the compliance checker validates H2s and tables. The output is consistent because the process is consistent.

Frase wins when flexibility matters: varied content types, custom workflows, integration into existing pipelines via API.

Findably wins when a specific outcome matters: 30 SEO articles a month, GEO-optimized, published to your CMS, no configuration.

Frase markets GEO content optimization as an AI agent capability on all plans. Findably has a dedicated pipeline stage: the GEO Optimizer restructures every article with atomic paragraphs, summary tables, direct-answer formatting on question H2s, and JSON-LD schema. These are the patterns LLMs quote most.

Verify Frase's current GEO implementation against their docs. Findably's is a specialized stage in the documented 10-stage pipeline.

Frase Team at $115/mo includes 75 projects across 3-9 users. If you're a solo operator or small team, you share that cap. Basic at $45/mo includes 15 projects. Solo at $15/mo includes 4.

Findably at $150/mo is 30 articles for one user, with each article written end-to-end through the pipeline and published.

Findably's compliance checker validates H2 structure, keyword placements in headings and body, and table presence before an article exits the pipeline. It cannot invent new sections; it checks the output against the approved outline and SEO checklist.

Frase's agent produces outputs you review and approve. Both approaches can ship quality content. Findably's adds a deterministic check before publish.

With Frase, publishing is one skill in the agent's toolkit. You route articles through it when you want to publish. With Findably, autopilot is the default behavior: you approve keywords, articles write and publish on schedule, unless you intervene.