SEO AI Agents for Citation Gaps
Monitoring tells you where you’re losing. The SEO AI agent helps you act on it — it maps your topic, studies who’s ranking, and applies GEO optimisation to draft an article built to address the prompt.
Generate Articles from Semantic Maps
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 for review — a GEO-scored article built from that context, ready to edit, share, or export.
Create Citation Gap Content Drafts
AmICited connects the research and drafting loop: find a prompt where competitors are cited and you are not, draft and GEO-optimise a response, then let your team review and publish through its own workflow before re-checking visibility. It does not claim that a content change will earn a citation.
- No copy-pasting into briefs — a detected gap can become a scored draft with its source context attached.
- Review before publishing — the current article editor provides a revocable public share and Markdown, HTML, PDF, or Word export; it does not directly publish to a connected CMS.
- Your publishing workflow stays in control — send the reviewed asset to the CMS or automation your team uses.
- Re-monitoring measures visibility — watch whether your domain appears against the exact prompt that was missing it; an appearance is observed evidence, not proof the draft caused it.
Configure SEO AI Agents
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.
- Validated, not vetted — the editor checks every node and the whole flow before you can publish or invoke it; that confirms the config is correct, not that the output is ready to publish untouched, so run it in the playground first.
SEO AI Agent Data Context
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.
- Live SEO data as building blocks — keyword ideas, search volume, domain analytics, on-page and SERP analysis, and trends data, wired in as components any step can call.
Connect SEO Data to Agents
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 reviewable draft and its supporting evidence.
clicks from agent-drafted pages
HZ-Containers went from 0 to 353K clicks and 19.3M impressions in 16 months — the case study tracks pages drafted and GEO-scored through this workflow, then published through the operator’s own process.
See the case studyUse SEO AI Agents
Point it at a losing prompt and watch it map the topic, study who’s ranking, and create a GEO-optimised draft for review — then measure the citation visibility.
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