Legacy SEO recovery mode

Turn a Seed Topic into a Complete Pillar & Cluster Map

From one seed phrase, generate distinct subtopics tagged by search intent, formatted editorial briefs (headlines, three H2s, a meta description), and export-ready rows for your CMS or editorial tracker. Iterate into FAQs, local pages, or article outlines without starting from scratch.

Generate subtopics See examples & prompts

Output formats

Headlines • H2 outlines • Meta descriptions • CSV

Designed to paste into briefs, editorial trackers, or CMS import templates.

Intent labels

Informational • Commercial • Transactional • Navigational

Intent tags help prioritize content and avoid overlapping pages.

Refinement modes

Depth drills • FAQ generation • Local expansion

Start broad, then iterate into article outlines, local pages, or FAQ schema answers.

Solve common content planning pains

Why use an AI Subtopics Generator

Teams often stall after a good seed topic: idea fatigue, overlapping pages, and unclear intent. The generator creates a structured pillar-and-cluster map with practical deliverables your writers and SEO strategists can act on immediately.

Stop guessing: each subtopic includes an intent label to guide format and funnel placement.
Ship faster: editorial briefs include headlines, H2s, and meta descriptions so writers can start drafting.
Local-first: produce geo-targeted subtopics and schema snippets for regional campaigns.

Use-ready prompts you can copy and paste

Core prompt clusters (how we structure output)

Below are the canonical prompt clusters used to generate outputs tailored to different stages of an editorial workflow. Each prompt returns structured, exportable results.

Pillar + Cluster Builder

Seed topic: {topic}. Generate 8 distinct subtopics that form a pillar-and-cluster map.

For each subtopic output: 1-line intent label (informational/commercial/transactional), three candidate H2s, one suggested 50–120 char meta description, and two headline variations.
Ideal first step to map coverage and avoid cannibalization.

FAQ & Snippet Hunter

Given {topic}, list 15 user questions suitable for FAQ schema grouped by intent.

Each question gets a 20–40 word answer optimized for featured snippets and a suggested anchor text for on-page FAQ.
Use to populate schema-ready Q&A blocks.

Local Expansion

Topic: {topic}. Produce 6 geo-targeted subtopics for {city,region} that align with local intent.

Include common local modifiers, one suggested local CTA and one local schema snippet idea.
Useful for regional landing pages and local PPC landing tests.

Long-tail Keyword Seeder

Seed: {topic}. Return 30 long-tail keyword phrases organized by intent and searcher goal.

Annotate difficulty flag (low/medium/high inferred by specificity) and three content angles per phrase.
Feeds keyword queues for writers and paid search teams.

Content Format Variants

Topic: {topic}. For formats—how-to, listicle, comparison, case study—generate 3 subtopic headlines each.

Add a 2-sentence brief explaining audience and best CTA per format.
Helps assign the right format to intent and stage in funnel.

Product Docs Expansion

Product feature: {feature_name}. Produce documentation subtopics and one sample H2 or code placeholder.

Use to convert product features into usable docs: quick start, troubleshooting, best practices, and migration guides.

Social & Newsletter Spin-ups

Topic: {topic}. Produce social post ideas and newsletter subject lines derived from top subtopics.

Each idea includes a suggested visual or data point to highlight.
Great for repurposing pillar content into distribution-ready assets.

Competitive Gap Finder

Manual input: paste a SERP summary and get 5 subtopics competitors are missing.

Explain why each is defensible and suggest a quick experiment to test traffic uplift.

Cluster-to-CMS Export Template

Convert a cluster into a CSV with columns: URL slug, H1, meta description, H2s (pipe-separated), internal link targets.

Produce one example row for the first subtopic to import directly into editorial trackers or CMS.

Iterative Depth Drill

Take a subtopic and expand into a 600–800 word article outline with paragraph-level bullets and suggested sources.

Includes five internal link target suggestions (by slug) so you can preserve topical authority when publishing.

Seed topic: electric bikes

Example cluster (short sample)

A condensed example showing how one seed yields distinct, intent-tagged subtopics and editorial-ready outputs.

Subtopic: 'Best electric commuter bikes' — Intent: commercial. H2s: 'Key specs for commuting' | 'Range and battery types' | 'Top models under $X'. Meta: 'Compare the best electric commuter bikes for daily city rides—range, weight, and charging.' Headlines: 'Best Electric Bikes for Commuting in 2026' | 'Top Commuter E-Bikes for City Riders'.
Subtopic: 'E-bike maintenance checklist' — Intent: informational. H2s: 'Pre-ride inspection' | 'Battery care tips' | 'Common repairs and when to visit a shop'. Meta: 'Simple e-bike maintenance checklist to keep your bike safe and reliable.' Headlines: 'E-Bike Maintenance: A 10-Minute Pre-Ride Checklist' | 'How to Keep Your Electric Bike Running Longer'.
Subtopic: 'E-bike regulations by state' — Intent: navigational. H2s: 'Helmet and lane rules' | 'Speed and power limits' | 'Where to register and insurance considerations'. Meta: 'Overview of e-bike rules and registration requirements by state to help riders comply with local laws.' Headlines: 'E-Bike Laws by State: What Riders Need to Know' | 'Understanding Local Rules for Electric Bicycles'.

From cluster to CSV row

Editorial export & CMS-ready example

Export clusters in a CSV with the following columns so you can import directly into a CMS or an editorial tracker.

Columns: url_slug, h1, meta_description, h2s (pipe-separated), internal_link_targets (pipe-separated), intent_label, suggested_keywords
Example row (pipe-separated H2s): 'electric-bikes-best-commuter','Best Electric Bikes for Commuting in 2026','Compare the best electric commuter bikes for daily city rides—range, weight, and charging.','Key specs for commuting|Range and battery types|Top models under $X','/about|/blog/e-bike-basics','commercial','electric commuter bike, e-bike for commuting'

Protect topical authority as you publish

Publishing & internal linking guidance

Follow a simple linking and publishing checklist so new cluster pages strengthen rather than dilute your pillar page.

Design one pillar URL with a canonical H1 and use cluster pages for specific intents (how-to, reviews, regional landing pages).
From each cluster page, link back to the pillar and to 2–3 sibling clusters to create a topical mesh.
Use intent labels to choose a primary CTA and avoid overlapping CTAs that invite duplicate content (e.g., two product pages targeting the exact same keyword).
Schedule publishing so high-intent commercial pages are validated by user data before adding multiple similar commercial pages.

How local variants look in practice

Local expansion example

Turn a national subtopic into multiple local pages that capture regional modifiers and local intent without duplicating content.

Seed: 'bike repair' — Local subtopic: 'bike repair Seattle — emergency e-bike repair near downtown' (includes suggested local CTA: 'Book same-day repair in Seattle').
Local schema snippet idea: add a short Q&A like 'Do I need to register my e-bike in Seattle?' with a 20–30 word answer and local phone/booking CTA.

FAQ

How does the subtopics generator decide which intent label to assign?

It analyzes the seed and candidate subtopic phrasing against common searcher goals: informational (how/what), commercial (compare/buy), transactional (purchase/CTA), and navigational (local or brand-specific). Use intent tags to choose format and CTA.

What makes a good seed topic and how specific should it be?

Good seeds are 1–3 word concepts that represent the pillar (product category, core feature, or audience problem). If your seed is too narrow, run one broad seed first then depth-drill into specifics.

How many subtopics should I generate for a pillar page?

Start with 6–12 distinct subtopics covering different intents. Prioritize 3–5 for immediate publication and keep others in the roadmap to avoid cannibalization.

Can the generator create geo-targeted subtopics for local SEO?

Yes. Use the Local Expansion prompt to produce region- or city-specific subtopics that include local modifiers, local CTAs, and schema-friendly Q&A snippets.

How do I avoid keyword cannibalization when publishing many subtopics?

Assign clear intent labels, consolidate similar commercial intents into a single, authoritative page, and maintain a pillar page that links to and contextualizes cluster pages.

What output formats are best for importing into an editorial workflow?

CSV rows with columns for slug, H1, meta, pipe-separated H2s, intent_label, and internal_link_targets are effective for most CMS and editorial trackers.

When should a human editor intervene after generation?

Editors should review tone, factual claims, local accuracy, competitive overlaps, and brand positioning. Use the generator for structure and speed; apply domain expertise for final decisions.

Can I get FAQ schema-ready Q&A from the tool?

Yes. The FAQ & Snippet Hunter prompt returns grouped user questions with concise, 20–40 word answers optimized for featured snippets and suggested on-page anchors.

How do I convert suggested subtopics into a prioritized roadmap?

Score subtopics by intent, business impact, and current content gaps (analytics or Search Console signals). Prioritize high-intent pages and local pages that match campaign targets.

What are best practices for internal linking between pillar and cluster pages?

Link clusters back to the pillar and to 2–3 complementary cluster pages. Use descriptive anchor text aligned with the target keyword and avoid linking multiple pages to the same exact short-tail phrase.

PricingCompare plans for access to generator features and export formats.
BlogSee examples, prompt templates, and editorial case studies.
Product comparisonHow Texta's subtopic workflows differ from generic ideation tools.
About TextaOur approach to AI-assisted content planning and publisher workflows.
IndustriesSee industry-specific examples and prompt adaptations.