AGENT SKILLBY SICKN33
SEO-AEO keyword research
AT A GLANCE
SEO-AEO keyword research is an agent skill for SEO. Researches and prioritises SEO keywords with AEO question queries, difficulty tiers, cannibalization checks, and a content map. The sickn33/agentic-awesome-skills repository on GitHub, maintained by sickn33, has 45.4K stars and the MIT license. To add it, run npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-keyword-research
- SOURCE REPOSITORY
- sickn33/agentic-awesome-skills (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- SKILL.MD SIZE
- 4.5 KB111 LINES
QUICK ANSWER
- WHAT IT IS01
- Researches and prioritises SEO keywords with AEO question queries, difficulty tiers, cannibalization checks, and a content map. Its edge is a particular angle on search and SEO workflows, giving the agent tighter constraints than a plain SEO-AEO keyword research request.
- INPUTS02
- Context for search and SEO workflows: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for search and SEO workflows: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-keyword-researchREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 16
SEO-AEO Keyword Research#
Overview#
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 (opens in a new tab) — an open-source AI-powered content growth system.
When to Use This Skill#
- Use when you need to build a keyword strategy for a new topic or niche
- Use when you want to find AEO question queries for AI engine citation
- Use when you need to prioritise which keywords to target first
- Use when you want to check for keyword cannibalization before writing content
How It Works#
Step 1: Extract Seed Keywords#
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.
Step 2: Expand Into Tiers#
Sort all keywords into three tiers:
- Tier 1 — Low-to-moderate difficulty. Target first.
- Tier 2 — Medium difficulty. Build toward after Tier 1 content is live.
- Tier 3 — High difficulty. Long-term goals only.
Step 3: Generate AEO Keywords#
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).
Step 4: Run Cannibalization Check#
Flag any two keywords similar enough to split traffic if targeted on separate pages. Recommend which page should own which term.
Step 5: Build Content Map#
Recommend content type and production order for all Tier 1 and Tier 2 keywords.
Examples#
Example 1: SaaS Product#
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"
Example 2: Fintech App#
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
Best Practices#
- ✅ Do: Target Tier 1 keywords first — build authority before going after competitive terms
- ✅ Do: Use AEO keywords in FAQ sections and definition blocks for AI engine citation
- ✅ Do: Validate estimated volume and difficulty with a live tool (Ahrefs, SEMrush) before committing
- ❌ Don't: Target two keywords on the same page if cannibalization is flagged
- ❌ Don't: Use volume as the only prioritisation signal — difficulty and intent matter more
Common Pitfalls#
-
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.
Related Skills#
@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
Additional Resources#
Limitations#
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
07 QUESTIONS
01What is the SEO-AEO keyword research agent skill?
Researches and prioritises SEO keywords with AEO question queries, difficulty tiers, cannibalization checks, and a content map. It is listed under SEO and go-to-market in the 100xLab agent skills directory.
02How do I install SEO-AEO keyword research in Cursor, Claude Code, or Codex?
Run npx skills add sickn33/agentic-awesome-skills --skill seo-aeo-keyword-research in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only SEO-AEO keyword research, not every skill in the repository.
03What does the SEO-AEO keyword research SKILL.md cover?
The SKILL.md includes sections on Overview, When to Use This Skill, How It Works, Step 1: Extract Seed Keywords, Step 2: Expand Into Tiers and Step 3: Generate AEO Keywords. Read the full text on this page or in plain markdown at /resources/agent-skills/sickn33-agentic-awesome-skills--seo-aeo-keyword-research--10kgdlz/raw.
04Which agents can use SEO-AEO keyword research?
SEO-AEO keyword research installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is SEO-AEO keyword research under?
The sickn33/agentic-awesome-skills repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is SEO-AEO keyword research free to use?
Reading, copying and installing SEO-AEO keyword research costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of SEO-AEO keyword research?
SEO-AEO keyword research comes from https://github.com/sickn33/agentic-awesome-skills, which has 45.4K GitHub stars. The SKILL.md is at https://github.com/sickn33/agentic-awesome-skills/blob/HEAD/skills/seo-aeo-keyword-research/SKILL.md. The author is sickn33.
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ATTRIBUTION
SEO-AEO keyword research was written by its original authors and is published in sickn33/agentic-awesome-skills (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.