SEO/GEO Page-Level Keyword Optimizer

Page-level keyword optimization using Ahrefs MCP data and GEO principles. Targets both traditional search (Google) and AI-powered search (ChatGPT, Perplexity, AI Overviews, Gemini, Claude). Invoke when optimizing any web page for search visibility.

SEO/GEO Page-Level Keyword Optimization Skill

Overview

This skill drives page-level keyword optimization by combining Ahrefs MCP data with GEO (Generative Engine Optimization) principles. It targets both traditional search engines and AI-powered search (ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini).

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Inputs Required

Input	Source	Notes
Target page URL	User	The specific page to optimize
Competitor URLs (3–5)	User or Ahrefs	Same search intent as target page
Primary keyword	User or derived	Main topic the page should rank for
Ahrefs MCP credentials	Environment	API key or MCP session

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Workflow

Phase 1 — Keyword Intelligence (Ahrefs MCP)

text

1. keywords_explorer(seed=primary_keyword)
   → Extract: volume, KD, CPC, related_terms, questions, parent_topic

2. site_explorer(url=competitor_url, mode="organic_keywords", limit=50)
   → Repeat for each competitor
   → Collect all keywords competitors rank for on this topic

3. content_gap(target=our_url, competitors=[url1, url2, ...], mode="page")
   → Output: keywords competitors rank for that our page does NOT cover
   → Filter by: volume > 100, KD < 60

Deliverable: A keyword matrix with three tiers:

Tier	Type	Placement
Primary	Exact match, highest volume	Title, H1, meta desc, first 100 words
Secondary	Semantic cluster, related terms	H2/H3 headers, body paragraphs
Gap keywords	Missing vs. competitors	New sections, FAQ, supporting content

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Phase 2 — On-Page Keyword Mapping

Map keywords to page structure following this hierarchy:

text

<title>          Primary keyword (≤60 chars)
<meta desc>      Primary + secondary keyword + CTA (≤155 chars)
<h1>             Primary keyword variant (natural language)
<h2> × N         One secondary keyword per sub-topic
First 100 words  Primary + 1 secondary keyword (natural, not forced)
Body             LSI / gap keywords distributed at ~1 per 200 words
<img alt>        Descriptive keyword-inclusive alt text
Internal links   Anchor text = target keyword of linked page

Rules:

• No keyword stuffing. Density is not a metric. Relevance and coverage are.
• Each H2 owns exactly one keyword intent. Do not blend intents in a single section.
• Internal link anchors must use the exact target keyword of the destination page.

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Phase 3 — GEO Layer (AI Search Citability)

This phase targets AI engines (ChatGPT, Perplexity, Gemini, AI Overviews).

CITE Framework (one application per major section):

text

C — Claim     : State the answer directly in the first sentence.
I — Insight   : Add a non-obvious detail or mechanism.
T — Trust     : Cite a source, statistic, or expert reference.
E — Evidence  : Back it up with data, example, or case.

Structural requirements:

1. Opening definition block: First 50 words must answer the primary keyword query in one authoritative sentence. This is what AI engines extract and cite.

2. FAQ Schema: Convert Ahrefs question-type keywords into FAQ markup.

   json

   {
     "@type": "FAQPage",
     "mainEntity": [
       {
         "@type": "Question",
         "name": "[keyword question from Ahrefs]",
         "acceptedAnswer": { "@type": "Answer", "text": "[CITE-structured answer]" }
       }
     ]
   }
   

3. Table / List structures: AI engines prefer extractable formats. Where the content allows, convert prose into a table or bulleted list with a clear header.

4. Factual density: Include at least 3 verifiable facts (statistics, dates, named entities) per 500 words. Vague content is not cited.

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Phase 4 — Monitoring (Ahrefs API)

python

# Weekly page health check
results = ahrefs_api.get_organic_keywords(url=target_page, limit=100)

for kw in results:
    if kw["position"] > 10 and kw["volume"] > 200:
        trigger_reoptimize_alert(kw)

# Monthly content gap re-run
ahrefs_api.content_gap(target=our_url, competitors=competitor_list)
→ Flag any new gap keywords with volume > 300

Alert thresholds:

• Primary keyword drops below position 10 → immediate review
• Click share drops >20% month-over-month → full content audit
• New gap keyword with volume >500 appears → add FAQ or new section within 2 weeks

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Priority Order

Priority	Action	Expected Impact
P0	Content gap analysis (page vs. competitors)	Highest ROI — covers missing intent fast
P0	FAQ Schema from question keywords	GEO citability + featured snippet eligibility
P1	Title / H1 / H2 keyword remapping	Ranking signal alignment
P1	Opening 50-word authoritative answer block	AI Overview / LLM citation rate
P2	Internal link anchor text optimization	Distributes PageRank to target keywords
P2	Alt text keyword coverage	Image search + accessibility
P3	API-driven ranking monitor + alerts	Catch regressions early

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Reference Projects

Project	Stars	Use
AgriciDaniel/claude-seo	~7k	25 sub-skills + 18 sub-agents, GEO/AEO, schema, semantic clustering
serpapi/awesome-seo-tools	~863	Tool discovery: keyword research, rank tracking, GEO trackers
teles/awesome-seo	~600+	Reference links for keyword research fundamentals
amplifying-ai/awesome-generative-engine-optimization	~300+	GEO methodology, AI citability patterns
aaron-he-zhu/seo-geo-claude-skills	~51	CORE-EEAT + CITE frameworks, rank tracking skills

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Ahrefs MCP Endpoints Used

Endpoint	Phase	Purpose
keywords_explorer	1	Volume, KD, related terms, questions
site_explorer	1	Competitor organic keyword lists
content_gap	1, 4	Missing keyword identification
get_organic_keywords	4	Page ranking health monitoring
rank_tracker	4	Position trend over time