The SEO AI agent that turns gaps into cited pages
Monitoring tells you where you're losing. The SEO AI agent fixes it — it maps your topic, studies who's ranking, and writes a GEO-optimized article built to win the prompt, straight to your CMS.
From semantic map to published article
The SEO AI agent runs the same three moves an expert would — it just does them across every prompt, every day, on your whole domain.
- ✓Maps the topic — every prompt, fan-out query and ranking URL for your domain in one semantic map.
- ✓Studies who's winning — the competitor URLs cited for each prompt, and the exact gap you can take.
- ✓Writes to rank — a GEO-scored article built from that context, published to WordPress or Webflow.
Tune your SEO AI agent in a visual builder
Every AmICited SEO AI agent is a FlowHunt workflow under the hood. Open it in the no-code builder to change the brief, swap models, add your brand rules, or chain in your own steps.
- ✓Visual, no-code editor — branch, loop and add tools by dragging nodes.
- ✓Any model per step — route to Claude, GPT, Gemini or open models.
- ✓Your rules baked in — tone, banned claims, internal links, CTA style.
The context your SEO AI agent actually needs
An LLM with no data guesses. AmICited feeds the agent the exact context that moves citations — the prompts you're losing, who's cited instead, the sources engines trust, and your full answer history — so it writes what will actually get cited.
- ✓Losing prompts + competitors — the real gap, not a generic brief.
- ✓Cited sources & entities — what engines reward in your niche.
- ✓Your archived answers — hundreds of real AI responses as ground truth.
Connect your data to any AI agent
Prefer your own stack? The AmICited MCP server exposes the same prompts, ranks and citations as live tools — so FlowHunt, Claude Code, Codex, Cursor and any MCP client can drive your SEO work with real context.
- ✓Works everywhere — FlowHunt, Claude Code, Codex, Cursor, Windsurf.
- ✓Live tools, not exports — query gaps and citations on demand.
- ✓Read and act — from “where am I losing?” to a published fix.
Ready to close your AI visibility gaps?
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