Researches SEO keywords and AEO question queries, prioritizes by difficulty tiers, checks cannibalization, generates content maps for topics.
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Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
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Identifies high-value SEO keywords and AEO question-based queries for a topic. Produces keyword tiers (easy wins to long-term goals), search intent classification, cannibalization checks, and a content production map — all from a single topic input.
Part of the SEO-AEO Engine — an open-source AI-powered content growth system.
Identify 3–5 core terms that anchor the topic's search territory. Go beyond the obvious head term to include adjacent terms the audience actually uses.
Sort all keywords into three tiers:
Produce question-based keywords that AI engines surface in direct answers and People Also Ask boxes. For each AEO keyword, specify the answer format to use (definition sentence, numbered steps, comparison table, direct number).
Flag any two keywords similar enough to split traffic if targeted on separate pages. Recommend which page should own which term.
Recommend content type and production order for all Tier 1 and Tier 2 keywords.
Input: topic = "remote project management software" audience = "engineering managers and startup founders" goal = "convert" Output: Tier 1 Keywords:
"remote project management software" | Medium volume | Difficulty: 38 "project management tool remote teams" | Low volume | Difficulty: 29
AEO Keywords:
"What is the best project management software for remote teams?" → Answer format: Comparison table "How does remote project management work?" → Answer format: Numbered steps
Content Map:
Landing page → "remote project management software" Pillar blog → "complete guide to remote project management" Cluster article → "how to manage remote engineering teams"
Input: topic = "automated budgeting app" audience = "millennials managing personal finances" goal = "all" Output: Tier 1 Keywords:
"automated budgeting app" | Medium volume | Difficulty: 33 "automatic savings app" | Low volume | Difficulty: 24
AEO Keywords:
"What is the best budgeting app for millennials?" → Answer format: Comparison table "How does automated budgeting work?" → Answer format: Numbered steps
Problem: High-volume keyword chosen but impossible to rank for early on Solution: Always cross-check volume with difficulty. Tier 1 should have difficulty under 45.
Problem: AEO keywords ignored in favour of traditional search terms Solution: AEO keywords drive AI engine citation — include at least 5 in every research run.
@seo-aeo-content-cluster — uses keyword research output to build topic cluster@seo-aeo-landing-page-writer — consumes primary keyword to generate landing page@seo-aeo-blog-writer — uses secondary keywords for cluster article targeting