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Frase — The Agentic SEO & GEO Platform | Rank on Google. Get Cited by AI.

Frase is an agentic SEO and GEO platform that researches competitors, helps create and optimize content, and tracks visibility across Google and AI search tools, mainly for content marketers, SEO teams, agencies, and enterprises. For SEO and content teams, it can streamline planning and optimization for both traditional search rankings and AI citations in one workflow.

Frase — The Agentic SEO & GEO Platform | Rank on Google. Get Cited by AI.

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Detail Information

What

Frase is an SEO and GEO platform built to support the full content workflow: market research, content creation, optimization, publishing support, and visibility tracking across Google and AI search tools. It is aimed at content marketers, SEO teams, agencies, and enterprises that want one system for improving search rankings and increasing the chance of being cited in AI-generated answers.

The product is positioned as an “agentic” platform centered on one AI agent with 80+ skills rather than a set of disconnected tools. Based on the page, its core workflow is to analyze top competitors, generate briefs and drafts, score content for SEO and GEO, and monitor brand visibility and opportunities so teams can decide what to update or publish next.

Features

  • SERP and competitor research: Analyzes top search results to identify topics, questions, and content gaps, then turns that research into a practical brief or outline.
  • AI-assisted content creation: Produces drafts and strategic recommendations so teams can move from research to a working article faster while keeping human review in the loop.
  • SEO and GEO optimization in one editor: Provides real-time scoring, topic suggestions, keyword tracking, and formatting guidance intended for both traditional search and AI search visibility.
  • AI search tracking: Tracks brand visibility across Google and multiple AI platforms, including share of voice, appearance rate, momentum, and citation changes.
  • Content opportunity detection: Flags declining pages and missed content gaps, and prioritizes actions such as fixing, boosting, or filling topics based on estimated impact.
  • Scale features for larger programs: Includes content atomization, programmatic SEO, content clustering, and brand governance features for teams managing high-volume or multi-channel content operations.

Helpful Tips

  • Validate GEO claims with your own editorial standards: The page describes optimization for AI citation readiness, but teams should still review factual structure, sourcing, and formatting manually because AI citation behavior can change quickly.
  • Use it where fragmented workflows are the main bottleneck: Frase appears most valuable for teams currently splitting research, writing, optimization, and tracking across multiple tools.
  • Set clear approval rules before rollout: Since the platform drafts and recommends while users approve outputs, adoption will likely be smoother if roles for strategists, editors, and writers are defined early.
  • Test tracking features on a focused topic set first: For evaluation, start with a few strategic pages or keyword clusters and compare Frase’s detected opportunities with your current performance data.
  • Review enterprise-scale features carefully: Capabilities like programmatic SEO and content atomization can increase output quickly, so quality control and brand governance should be established before scaling.

OpenClaw Skills

Frase could fit well into the OpenClaw ecosystem as an upstream content intelligence and optimization layer. Likely OpenClaw workflows could include agents that ingest Frase research outputs, route briefs to specialized writing or review agents, enforce editorial checklists, and trigger refresh workflows when Frase surfaces declining pages or new content gaps. If native integrations are not explicitly confirmed on the page, this should be treated as a likely orchestration use case rather than a built-in connection.

Combined with OpenClaw, Frase could support more autonomous SEO and GEO operations for content teams, agencies, and in-house growth functions. Likely skills could include competitor-monitoring agents, citation-readiness reviewers, cluster-planning assistants, content refresh schedulers, and executive reporting agents that translate visibility shifts into next-step actions. In practice, that combination could move teams from manual content production toward a managed workflow where research, drafting, optimization, tracking, and prioritization happen as a coordinated system.

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