{"slug":"paa-content-writer-topical-authority","title":"PAA Content Writer: 4 Articles Per URL for Topical Authority","tags":["paa","topical-authority","articles","local-seo","content-cluster"],"agent_summary":"Builds topical authority around a target URL by producing 4 SEO articles targeting PAA clusters. Standard mode targets general topical depth. GEO mode generates city-specific variants. Each article targets distinct PAA cluster with internal links back to the parent URL.","trigger_phrases":["paa content articles","topical authority content","paa article cluster","write articles for","build topical authority","paa writer","4 articles for"],"runnable":true,"markdown":"\n# PAA Content Writer: 4 Articles Per URL for Topical Authority\n\nTopical authority requires depth, not breadth. Four PAA-targeted articles around one URL signals to search engines that the site is a comprehensive resource on the topic — not just a one-page mention.\n\n---\n\n## The 4-Article Model\n\nOne target URL becomes the center of a 4-article cluster:\n\n```\nTARGET URL (e.g., /roof-repair-denver/)\n        |\n        |--- ARTICLE 1: Informational PAA cluster\n        |--- ARTICLE 2: Commercial/intent PAA cluster\n        |--- ARTICLE 3: Process/how-to PAA cluster\n        |--- ARTICLE 4: Local/geo PAA cluster\n```\n\nAll four articles link back to the target URL. The target URL links to all four.\n\n---\n\n## Standard Mode\n\n**Input:** Target URL\n\n**Step 1:** Pull all PAA questions for the primary keyword of that URL.\n\n**Step 2:** Cluster PAA into 4 groups (one per article):\n- Cluster 1: \"What is\" / \"Why\" questions (informational)\n- Cluster 2: \"How much\" / \"Best\" / \"Should I\" (commercial)\n- Cluster 3: \"How to\" / \"Steps\" / \"Process\" (how-to/transactional)\n- Cluster 4: \"In [City]\" / \"Near me\" / \"Local\" (geo-specific)\n\n**Step 3:** For each cluster, produce:\n- Target keyword for the article\n- H1 title\n- 800-1200 word article targeting that cluster\n- FAQ section with the PAA questions as structured data\n- Internal link to target URL in paragraph 2-3\n- Internal link to related cluster article\n\n---\n\n## Article Specifications (Standard Mode)\n\nEach of the 4 articles:\n\n| Element | Spec |\n|---------|------|\n| Word count | 800-1200 words |\n| Primary keyword | Main PAA cluster question → converted to keyword |\n| H1 | Keyword-optimized, question-form or answer-form |\n| H2 structure | 3-4 sections, each targeting a sub-question |\n| FAQ section | 4-6 PAA questions from that cluster, schema-ready |\n| Internal links | 1 link to target URL, 1 link to another cluster article |\n| CTA | Soft CTA toward target URL conversion |\n\n---\n\n## GEO Mode\n\n**Input:** Target URL + list of target cities\n\nGEO mode generates city-specific variants of each article cluster. Each city gets a unique version of the article with:\n- City name in H1 and H2s\n- City-specific stat or reference (where available)\n- Local context paragraph\n- NAP reference for the nearest service location\n- City-modified PAA questions in FAQ section\n\n**Example (Article 3: How-to cluster):**\n- Standard: \"How Long Does Roof Repair Take?\"\n- GEO Denver: \"How Long Does Roof Repair Take in Denver, CO?\"\n- GEO Aurora: \"How Long Does Roof Repair Take in Aurora, CO?\"\n\nGEO variants target exact geo-modified queries. Apply Jaccard variation rules (see content-variation-engine-jaccard.mdx) — score 0.75-0.85 vs the standard article.\n\n---\n\n## Content Brief Per Article\n\nBefore writing, fill this brief:\n\n```\nARTICLE BRIEF:\nTarget URL: [URL this article cluster supports]\nArticle number: [1-4]\nCluster type: [Informational / Commercial / How-to / Geo]\nTarget keyword: [exact phrase]\nPAA questions in this cluster:\n1. [Question]\n2. [Question]\n3. [Question]\nH1: [title]\nH2 sections:\n1. [Section title]\n2. [Section title]\n3. [Section title]\nFAQ questions (for schema):\n1. [Q]\n2. [Q]\n3. [Q]\nInternal link to: [target URL] — anchor text: [keyword phrase]\nCTA goal: [call / form / related article]\n```\n\n---\n\n## E-E-A-T Integration\n\nEach PAA article must include at minimum:\n- One specific data point (stat with source)\n- One experience signal (process description, case reference, or first-hand observation)\n- One expertise signal (credential reference, methodology note, or industry-specific insight)\n- Author attribution if the site has an author system\n\nGeneric PAA articles rank lower than those with clear E-E-A-T signals. The PAA answer is the floor — E-E-A-T is what wins the snippet.\n\n---\n\n## Internal Link Architecture\n\nAfter all 4 articles are produced:\n\n```\nTARGET URL → links to Article 1, 2, 3, 4\nArticle 1 → links to Target URL, Article 2\nArticle 2 → links to Target URL, Article 3\nArticle 3 → links to Target URL, Article 4\nArticle 4 → links to Target URL, Article 1\n```\n\nThis creates a circular cluster with the target URL at the hub — maximum link equity flow to the target page.\n\n#content-sop #paa #topical-authority #local-seo #content-cluster\n","html":"<h1>PAA Content Writer: 4 Articles Per URL for Topical Authority</h1>\n<p>Topical authority requires depth, not breadth. Four PAA-targeted articles around one URL signals to search engines that the site is a comprehensive resource on the topic — not just a one-page mention.</p>\n<hr>\n<h2>The 4-Article Model</h2>\n<p>One target URL becomes the center of a 4-article cluster:</p>\n<pre><code>TARGET URL (e.g., /roof-repair-denver/)\n        |\n        |--- ARTICLE 1: Informational PAA cluster\n        |--- ARTICLE 2: Commercial/intent PAA cluster\n        |--- ARTICLE 3: Process/how-to PAA cluster\n        |--- ARTICLE 4: Local/geo PAA cluster\n</code></pre>\n<p>All four articles link back to the target URL. The target URL links to all four.</p>\n<hr>\n<h2>Standard Mode</h2>\n<p><strong>Input:</strong> Target URL</p>\n<p><strong>Step 1:</strong> Pull all PAA questions for the primary keyword of that URL.</p>\n<p><strong>Step 2:</strong> Cluster PAA into 4 groups (one per article):</p>\n<ul>\n<li>Cluster 1: \"What is\" / \"Why\" questions (informational)</li>\n<li>Cluster 2: \"How much\" / \"Best\" / \"Should I\" (commercial)</li>\n<li>Cluster 3: \"How to\" / \"Steps\" / \"Process\" (how-to/transactional)</li>\n<li>Cluster 4: \"In [City]\" / \"Near me\" / \"Local\" (geo-specific)</li>\n</ul>\n<p><strong>Step 3:</strong> For each cluster, produce:</p>\n<ul>\n<li>Target keyword for the article</li>\n<li>H1 title</li>\n<li>800-1200 word article targeting that cluster</li>\n<li>FAQ section with the PAA questions as structured data</li>\n<li>Internal link to target URL in paragraph 2-3</li>\n<li>Internal link to related cluster article</li>\n</ul>\n<hr>\n<h2>Article Specifications (Standard Mode)</h2>\n<p>Each of the 4 articles:</p>\n<p>| Element | Spec |\n|---------|------|\n| Word count | 800-1200 words |\n| Primary keyword | Main PAA cluster question → converted to keyword |\n| H1 | Keyword-optimized, question-form or answer-form |\n| H2 structure | 3-4 sections, each targeting a sub-question |\n| FAQ section | 4-6 PAA questions from that cluster, schema-ready |\n| Internal links | 1 link to target URL, 1 link to another cluster article |\n| CTA | Soft CTA toward target URL conversion |</p>\n<hr>\n<h2>GEO Mode</h2>\n<p><strong>Input:</strong> Target URL + list of target cities</p>\n<p>GEO mode generates city-specific variants of each article cluster. Each city gets a unique version of the article with:</p>\n<ul>\n<li>City name in H1 and H2s</li>\n<li>City-specific stat or reference (where available)</li>\n<li>Local context paragraph</li>\n<li>NAP reference for the nearest service location</li>\n<li>City-modified PAA questions in FAQ section</li>\n</ul>\n<p><strong>Example (Article 3: How-to cluster):</strong></p>\n<ul>\n<li>Standard: \"How Long Does Roof Repair Take?\"</li>\n<li>GEO Denver: \"How Long Does Roof Repair Take in Denver, CO?\"</li>\n<li>GEO Aurora: \"How Long Does Roof Repair Take in Aurora, CO?\"</li>\n</ul>\n<p>GEO variants target exact geo-modified queries. Apply Jaccard variation rules (see content-variation-engine-jaccard.mdx) — score 0.75-0.85 vs the standard article.</p>\n<hr>\n<h2>Content Brief Per Article</h2>\n<p>Before writing, fill this brief:</p>\n<pre><code>ARTICLE BRIEF:\nTarget URL: [URL this article cluster supports]\nArticle number: [1-4]\nCluster type: [Informational / Commercial / How-to / Geo]\nTarget keyword: [exact phrase]\nPAA questions in this cluster:\n1. [Question]\n2. [Question]\n3. [Question]\nH1: [title]\nH2 sections:\n1. [Section title]\n2. [Section title]\n3. [Section title]\nFAQ questions (for schema):\n1. [Q]\n2. [Q]\n3. [Q]\nInternal link to: [target URL] — anchor text: [keyword phrase]\nCTA goal: [call / form / related article]\n</code></pre>\n<hr>\n<h2>E-E-A-T Integration</h2>\n<p>Each PAA article must include at minimum:</p>\n<ul>\n<li>One specific data point (stat with source)</li>\n<li>One experience signal (process description, case reference, or first-hand observation)</li>\n<li>One expertise signal (credential reference, methodology note, or industry-specific insight)</li>\n<li>Author attribution if the site has an author system</li>\n</ul>\n<p>Generic PAA articles rank lower than those with clear E-E-A-T signals. The PAA answer is the floor — E-E-A-T is what wins the snippet.</p>\n<hr>\n<h2>Internal Link Architecture</h2>\n<p>After all 4 articles are produced:</p>\n<pre><code>TARGET URL → links to Article 1, 2, 3, 4\nArticle 1 → links to Target URL, Article 2\nArticle 2 → links to Target URL, Article 3\nArticle 3 → links to Target URL, Article 4\nArticle 4 → links to Target URL, Article 1\n</code></pre>\n<p>This creates a circular cluster with the target URL at the hub — maximum link equity flow to the target page.</p>\n<p>#content-sop #paa #topical-authority #local-seo #content-cluster</p>\n"}