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SEO Optimization Plan: codewithfabric.com

Goal: Maximize organic traffic and AI search visibility for Fabric's AI Coding IDE Current state: Strong product, weak SEO — zero structured data, no sitemap, missing meta on key pages, invisible to AI search engines, absent from every competitor comparison article Timeline: 6-week sprint + ongoing monthly cadence


The Problem

Fabric has a genuine product differentiator — transparent AI reasoning ("see AI think"), air-gapped enterprise deployment, multimodal IDE — but none of this is visible to search engines or AI assistants. Meanwhile:

  • Cursor owns "AI IDE" (1M+ users, $1B+ ARR)
  • Copilot owns "AI pair programmer" (4.7M paid subscribers)
  • Windsurf owns "agentic IDE" (1M+ users, 59% Fortune 500)
  • Fabric is mentioned in zero comparison articles, zero AI assistant recommendations

The site has 27+ pages but only 1 blog post, no sitemap, no structured data, and broken social share previews. This plan fixes the foundation, then builds the content moat.


Strategy Overview

SEO Strategy Overview

The strategy has 5 phases executed over 6 weeks, with each phase building on the previous. Every phase maps to specific SEO skills installed in this project.


Phase 1: Technical Foundation (Week 1)

Skills: /seo-audit/schema-gen/meta-optimizer

The site has critical technical gaps that prevent search engines from properly indexing and understanding content. Fix these before any content work.

1.1 Run Full Technical Audit

Run /seo-audit codewithfabric.com to get baseline scores across all 10 categories. This produces an A-F scorecard and prioritized fix list.

Expected findings (from our manual audit):

Category Expected Grade Key Issue
Crawlability D No sitemap.xml (404), no robots.txt from app
On-Page SEO C Missing metadata on 6+ pages, title too short (21 chars)
Structured Data F Zero JSON-LD on homepage, no Organization/WebSite schema
Internal Linking C Orphan pages, no breadcrumbs, pricing is an anchor not a page
AI Search Readiness F Blocking ClaudeBot, no citation-ready content blocks
Mobile B+ Next.js responsive by default, needs viewport verification
Core Web Vitals B Next.js Image optimization in place, font optimized

1.2 Fix Critical Technical Issues

Fix File(s) Effort
Create sitemap.ts src/app/sitemap.ts 30 min
Create robots.ts src/app/robots.ts 15 min
Set metadataBase in root layout src/app/layout.tsx 5 min
Add canonical URLs to all pages All page.tsx files 30 min
Fix www 307 → 301 redirect Vercel config or next.config.ts 15 min
Add apple-touch-icon src/app/layout.tsx + public/ 10 min

Sitemap must include: - All marketing pages (/, /features, /use-cases, /contact) - All blog posts (dynamic from DB) - All changelog entries (dynamic from DB) - JP locale versions (/jp, /jp/features, etc.) - /claw (All You Can Claw) - Exclude: /admin/, /dashboard/, /signin, /signup, auth pages

robots.ts considerations: - Cloudflare currently manages robots.txt with AI bot blocking - Next.js robots.ts may be overridden — need to test precedence - Alternative: Add Sitemap: directive via Cloudflare rules

1.3 Add Structured Data (JSON-LD)

Run /schema-gen for each page type:

Page Schema Types Priority
Homepage Organization + WebSite + SoftwareApplication Critical
/features SoftwareApplication + FAQPage High
/use-cases FAQPage High
/contact Organization + ContactPage Medium
/blog/[slug] Article (already exists — verify) Verify
/changelog/[slug] Article (already exists — verify) Verify
/claw Product + Offer Medium
/pricing (new) Product + Offer + FAQPage High

SoftwareApplication schema (homepage):

- name: Fabric
- applicationCategory: DeveloperApplication
- operatingSystem: macOS, Windows, Linux
- offers: Free (BYOK), $49/mo, $100/mo, Enterprise
- aggregateRating: (if available)

1.4 Optimize Meta Tags

Run /meta-optimizer in batch mode across all pages:

Page Current Title Proposed Title Chars
Home Fabric - AI Coding IDE Fabric - AI Coding IDE That Shows You How AI Thinks 52
/features (missing) Fabric Features - Agentic AI, Multimodal, Air-Gapped IDE 57
/use-cases (missing) AI IDE Use Cases - Enterprise, Developer, Batch Processing 58
/contact (missing) Contact Fabric - AI Coding IDE Sales & Support 48
/changelog Changelog | Fabric Fabric Changelog - Latest AI IDE Updates & Releases 51
/claw All You Can Claw | Fabric All You Can Claw - Unlimited AI API Access from $9.99 54

Also fix: - OG descriptions truncated (align with full meta description) - Twitter card tags showing homepage values on changelog (bug) - Add twitter:site handle (need handle from Ryan) - Add og:image to all pages (need branded 1200x630 image)

1.5 Create OG Image

Two options: 1. Static: Design a branded 1200x630 image for social sharing 2. Dynamic: Use Next.js ImageResponse API for per-page OG images with title/description overlay

Recommend dynamic for blog/changelog posts, static for marketing pages.


Phase 2: Keyword Strategy & Content Architecture (Week 2)

Skills: /keyword-cluster/cannibalization/internal-links

2.1 Keyword Research & Clustering

Run /keyword-cluster with these seed keyword lists:

Tier 1 — High-Intent Product Keywords: | Keyword | Est. Volume | Intent | Competition | |---------|------------|--------|-------------| | AI coding IDE | High | Navigational | Very High (Cursor dominates) | | AI code editor | High | Navigational | Very High | | cursor alternative | Very High | Commercial | Medium (listicle content) | | copilot alternative | Very High | Commercial | Medium | | windsurf alternative | Medium | Commercial | Low (emerging) | | AI IDE enterprise | Medium | Commercial | Low | | air gapped AI IDE | Low | Transactional | Very Low | | on premise AI coding tool | Low | Transactional | Very Low |

Tier 2 — Category Keywords: | Keyword | Intent | Content Type | |---------|--------|-------------| | best AI coding tools 2026 | Commercial | Listicle | | AI IDE comparison | Commercial | Comparison | | vibe coding | Informational | Explainer | | AI coding agent | Informational | Explainer | | multimodal AI IDE | Navigational | Product page |

Tier 3 — Long-Tail / Pain Points: | Keyword | Intent | Content Type | |---------|--------|-------------| | AI code quality technical debt | Informational | Blog | | AI IDE data privacy security | Commercial | Landing page | | how to use AI for coding | Informational | Tutorial | | AI coding tools for enterprise | Commercial | Landing page |

2.2 Content Architecture — New Pages Needed

Based on competitive research, these pages are missing and high-impact:

Content Architecture

Comparison Hub (/compare/)

Page Target Keyword Rationale
/compare/cursor cursor alternative Cursor's pricing backlash drives huge "alternative" search volume
/compare/copilot copilot alternative Copilot can't do air-gapped. Fabric's biggest wedge.
/compare/windsurf windsurf alternative Emerging query, low competition, first-mover advantage
/compare (hub) AI IDE comparison Hub page linking to all comparisons

Pricing Page (/pricing)

  • Currently pricing is an anchor link on homepage — not indexable
  • Competitors all have standalone pricing pages
  • Target: "fabric pricing", "AI IDE pricing"
  • Include Product + Offer + FAQPage schema

Enterprise Landing Page (/enterprise)

  • Air-gapped deployment, zero data retention, on-premise
  • Target: "enterprise AI IDE", "air gapped AI IDE", "on premise AI coding"
  • Almost ZERO competition for these terms
  • Include case studies, security certifications, compliance info

2.3 Cannibalization Check

Run /cannibalization codewithfabric.com to check: - Homepage vs /features (both target "AI IDE" terms) - /claw vs /pricing (both have pricing content) - Blog posts vs changelog (content overlap risk as blog grows)

2.4 Internal Linking Audit

Run /internal-links codewithfabric.com:

Known issues: - /claw is isolated (own nav, not linked from main site) - /pricing doesn't exist (anchor link to homepage section) - Blog has 1 post — no internal link graph yet - No breadcrumb navigation

Implement: - Breadcrumb component for all pages (with BreadcrumbList schema) - Cross-link from blog posts → features/use-cases - Footer link to /pricing, /compare, /enterprise (when created) - Hub-spoke model: /compare (hub) → individual comparison pages (spokes)


Phase 3: Content Production (Weeks 3-4)

Skills: /content-brief/meta-optimizer/schema-gen

3.1 Priority Content Queue

Run /content-brief for each piece. Ordered by impact:

# Content Type Target Keyword Est. Impact
1 Cursor vs Fabric comparison Comparison cursor alternative Very High
2 Copilot vs Fabric comparison Comparison copilot alternative Very High
3 Enterprise AI IDE landing page Landing enterprise AI IDE High
4 Standalone pricing page Product AI IDE pricing High
5 Best AI Coding Tools 2026 Listicle best AI coding tools 2026 High
6 Windsurf vs Fabric comparison Comparison windsurf alternative Medium
7 What is Vibe Coding (and why Fabric does it better) Explainer vibe coding Medium
8 Air-Gapped AI IDE Guide Tutorial air gapped AI IDE Medium
9 How AI Thinks: Fabric's Transparent Reasoning Thought leadership - Medium
10 Getting Started with Fabric Tutorial how to use fabric IDE Medium

3.2 Content Brief Requirements

Each brief from /content-brief will include: - SERP landscape analysis (top 5 competing articles) - Article structure (H1/H2/H3 skeleton) - AEO citation blocks (50-70 word extractable summaries per section) - Internal linking plan (3-5 bidirectional links) - E-E-A-T requirements (screenshots, benchmarks, credentials) - Schema types to implement - Meta tags (title, description, OG)

3.3 Comparison Page Template

Every /compare/[competitor] page should follow this structure:

H1: Fabric vs [Competitor]: Which AI IDE Is Right for You?

Section 1: Quick Comparison Table (feature matrix)
  → FAQPage schema
  → Citation block: "Fabric is an AI coding IDE that [key differentiator]..."

Section 2: Where Fabric Wins
  → Air-gapped deployment (if Copilot/Cursor)
  → Transparent AI reasoning
  → Multimodal capabilities

Section 3: Where [Competitor] Wins
  → Honest assessment (builds trust/E-E-A-T)

Section 4: Pricing Comparison
  → Product+Offer schema

Section 5: FAQ
  → FAQPage schema
  → Common questions from Reddit/forums

CTA: Try Fabric Free

3.4 FAQ Content Strategy

Add FAQ sections to existing pages (these are gold for AI citations):

Page FAQ Topics
Homepage What is Fabric? How is it different from Cursor? Is it free?
/features Does Fabric work offline? What models does it support?
/use-cases Can Fabric work with legacy code? Enterprise deployment?
/pricing (new) What's included in free? Can I bring my own API key?
/enterprise (new) Air-gapped deployment? SOC2? Data retention?

Phase 4: AI Search Visibility (Week 5)

Skills: /ai-visibility/content-brief (AEO blocks) → /schema-gen

4.1 AI Bot Access Audit

Run /ai-visibility codewithfabric.com with: - Brand: Fabric, codewithfabric.com - Queries: 20 target queries (branded + non-branded) - Competitors: cursor.com, github.com/copilot, windsurf.com, replit.com, bolt.new

Current bot access (from Cloudflare robots.txt):

Bot Status Impact
ClaudeBot BLOCKED Cannot be cited in Claude search results
GPTBot BLOCKED Cannot be cited in ChatGPT
Google-Extended BLOCKED May affect AI Overviews
Googlebot ALLOWED Standard search indexing works
Bingbot ALLOWED Copilot/ChatGPT can use cached content
PerplexityBot BLOCKED Cannot be cited in Perplexity

Critical decision needed: Currently blocking all AI crawlers. This prevents AI training (good) but ALSO prevents citation in AI search results (bad). Options:

  1. Unblock all — Maximum AI visibility, but content used for training
  2. Selective unblock — Allow ChatGPT-User (live search) but block GPTBot (training). Allow PerplexityBot. Keep Google-Extended blocked.
  3. Keep blocked — Accept zero AI citations, focus only on traditional search

Recommendation: Option 2 (selective unblock). Separate training bots from search bots.

4.2 Citation-Ready Content Blocks

For every key page, add citation blocks — self-contained 50-70 word paragraphs that AI engines can extract verbatim:

Example for homepage:

Fabric is an AI coding IDE that makes AI reasoning transparent to developers. Unlike black-box AI assistants, Fabric shows how AI thinks through problems before generating code, giving developers full visibility into the AI's decision-making process. Available for macOS, Windows, and Linux with air-gapped enterprise deployment options.

Princeton GEO research shows: - Adding citations to content: +40% citation likelihood - Including statistics: +37% citation likelihood - Adding expert quotes: +30% citation likelihood - Structured content (headings, bullets): Outperforms dense paragraphs

4.3 Content Extractability Checklist

For each page, ensure: - [ ] Definition block in first 100 words - [ ] Comparison tables (not images) - [ ] Numbered steps for any process - [ ] Statistics with sources - [ ] FAQ sections with visible Q&A - [ ] Entity definitions (what is Fabric, what is agentic coding, etc.) - [ ] Heading-answer pairs (H2 is question, first paragraph answers it)


Phase 5: Measurement & Iteration (Week 6 + Ongoing)

5.1 Baseline Metrics to Track

Metric Tool Frequency
Organic traffic Google Analytics / Vercel Analytics Weekly
Indexed pages Google Search Console Weekly
Keyword rankings GSC or Ahrefs/Semrush Weekly
AI citation presence /ai-visibility re-run Monthly
Schema validation Google Rich Results Test After each deploy
Core Web Vitals PageSpeed Insights / GSC Monthly
Backlinks Ahrefs/Semrush Monthly
Click-through rate GSC Weekly

5.2 Monthly Cadence

Week Activity Skill
Week 1 Publish 2 new content pieces /content-brief
Week 2 Run cannibalization check /cannibalization
Week 3 Internal link optimization /internal-links
Week 4 AI visibility re-audit /ai-visibility

5.3 Quarterly Activities

  • Full /seo-audit re-run
  • Keyword cluster refresh with new GSC data
  • Competitor comparison page updates
  • Schema markup validation
  • Meta tag A/B testing on high-traffic pages

Execution Roadmap

Execution Roadmap


Skill Dependency Map

The 8 SEO skills feed into each other in a specific workflow:

Skill Dependency Map


Quick Wins (< 30 min each, do first)

These can be done immediately without waiting for the full plan:

  1. Set metadataBase in root layout → 5 min
  2. Create sitemap.ts with all public routes → 30 min
  3. Create robots.ts with Sitemap directive → 15 min
  4. Add og:image static branded image to all pages → 20 min
  5. Fix Twitter meta bug on changelog page → 10 min
  6. Add Organization JSON-LD to root layout → 15 min
  7. Add canonical URLs to marketing pages → 20 min

Total quick wins: ~2 hours for foundation that enables everything else.


Risks & Mitigations

Risk Impact Mitigation
Cloudflare robots.txt overrides Next.js robots.ts Sitemap directive not served Test both; may need Cloudflare Page Rule
AI bot unblocking enables training on content IP concern Use selective unblock (search bots only)
Comparison pages seen as aggressive by competitors Brand risk Be honest and fair in comparisons (boosts E-E-A-T)
Low blog volume (1 post) limits content strategy Slow keyword coverage Prioritize comparison pages first (higher conversion intent)
JP locale hreflang adds complexity Duplicate content risk Implement hreflang correctly or defer until JP is fully live
www → non-www 307 redirect Link equity dilution Change to 301 in Vercel settings

SOLID Analysis

  • Single Responsibility: Each phase handles one concern (technical → keywords → content → AI → measurement). Schema, meta, and sitemap are separate files, not bundled.
  • Open/Closed: Comparison page template is extensible — add new competitors without modifying existing pages. Schema generation uses composable JSON-LD blocks.
  • Liskov Substitution: N/A for content strategy.
  • Interface Segregation: Each SEO skill has a focused interface — /meta-optimizer doesn't touch schema, /schema-gen doesn't touch meta tags. No bloated "do everything" skill.
  • Dependency Inversion: Content strategy depends on keyword data (abstraction), not specific keyword tools. Can swap Ahrefs → Semrush → GSC without changing the plan.

No violations found. The phased approach naturally enforces SOLID principles.


Expected Outcomes (6 months)

Metric Current Target (3 mo) Target (6 mo)
Indexed pages ~10 30+ 50+
Organic traffic Minimal 2-3x baseline 5-10x baseline
AI citations 0 platforms 2-3 platforms 4-5 platforms
"Cursor alternative" ranking Not ranking Page 2-3 Page 1
Comparison article mentions 0 3-5 articles 10+ articles
Schema types implemented 0 5+ 8+
Blog posts 1 8-10 20+