Noel Ceta Profile picture
Jan 5 10 tweets 3 min read Read on X
Why do most SEO programs fail in the first 90 days?

No roadmap. No clear phases. No realistic timeline.

Companies start fast, spend money, and quit before any results appear.

Here’s the 18-month phased framework that turned 3 struggling companies into market leaders, with 150–200%+ traffic growth: 🧵👇
1/ Month 1-3: Foundation phase:

Build the baseline:

Technical audit and fixes:

- Site speed optimization
- Mobile responsiveness
- Schema markup implementation
- Crawl error resolution

Keyword research:

- 500+ target keywords identified
- Intent mapping complete
- Content gaps documented

Analytics setup:

- GA4 configured properly
- GSC connected
- Conversion tracking active

Deliverable: Technical foundation solid, strategy documented.
2/ Month 4-6: Content acceleration:

Publishing velocity:

Content production:

- 40-50 articles published
- Bottom-funnel prioritized (60%)
- Informational supporting (40%)

On-page optimization:

- Existing pages enhanced
- Internal linking structure built
- Schema added to key pages

Link building launch:

- Outreach process established
- First 15-20 links acquired

Deliverable: Content library starts building, initial ranking improvements.
3/ Month 7-9: Momentum building:

Scale and refine:

Content continues:

- 30-40 more articles (70-90 total)
- Performance data guides topics
- Underperformers refreshed

Link velocity:

- 30-40 new links acquired
- Digital PR campaign launched
- Guest posting systematic

Technical iteration:

- Core Web Vitals optimized
- Site architecture improved
- Page speed at target

Deliverable: Rankings accelerating, traffic growing 40-60%.
4/ Month 10-12: Optimization phase:

Double down on winners:

Content refinement:

- Top 50 pages enhanced
- Conversion optimization added
- Additional keywords targeted

Advanced link building:

- Branded campaigns
- Product-led content
- Strategic partnerships

Conversion focus:

- CTAs optimized
- Lead capture improved
- User experience refined

Deliverable: Traffic up 80-120%, conversions increasing.
5/ Month 13-18: Scaling and authority:

Compound growth:

Content maturity:

- 150+ total articles published
- Topical authority established
- Content clusters complete

Link portfolio:

- 120-150 total quality links
- DR 65+ average
- Diverse anchor text

Market position:

- Top 10 rankings dominant
- Brand searches increasing
- Competitors monitoring you

Deliverable: Traffic up 150-200%, established market presence.
6/ Resource requirements by phase:

Budget allocation:

Month 1-3: $20K-30K

- Heavy technical investment
- Strategy development

Month 4-6: $25K-35K

- Content production ramp
- Initial link building

Month 7-12: $30K-40K/month

- Full production mode
- Systematic execution

Month 13-18: $35K-45K/month

- Scale and optimization
- Authority building

Total 18-month investment: $500K-650K for mid-market company.
7/ Team structure evolution:

Staffing progression:

Month 1-3: 2-3 people

- SEO strategist
- Technical specialist
- Content lead

Month 4-12: 4-5 people

- Add writers
- Add link builder

Month 13-18: 5-6 people

- Add analyst
- Add conversion optimizer

Or equivalent in agency/contractor mix.
8/ Success metrics by phase:

What to track when:

Month 1-3:

- Technical score improvement
- Keyword research complete
- Foundation KPIs

Month 4-6:

- Pages indexed
- Initial ranking gains
- 20-40% traffic increase

Month 7-12:

- Top 10 rankings growing
- 80-120% traffic increase
- Link velocity steady

Month 13-18:

- Market dominance metrics
- 150-200% total growth
- Conversion improvements
9/ Transformation roadmap works when:

✓ 18-month commitment (not 6 months)
✓ Phased approach (foundation → acceleration → scale)
✓ Adequate budget ($500K-650K total for mid-market)
✓ Right team size (2-6 people depending on phase)
✓ Metrics tracked by phase (appropriate expectations)

3 companies following this: All achieved 150-200%+ growth by Month 18.

Companies trying 6-month sprints: 80% quit before seeing results.

Transformation requires patience and proper roadmap.

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More from @noelcetaSEO

Jan 5
Most teams waste 80% of optimization time on tasks that barely move rankings.

Yet 5 actions drive nearly all results.

Focus here, and you can get major traffic lifts without burning hours on low-impact tasks.

Here’s where to spend your optimization effort 🧵👇
1/ High-impact action 1: Title tag optimization:

Biggest lever for quick wins:

What to change:

- Add target keyword (front-loaded)
- Include number or year (CTR boost)
- Add power words (ultimate, complete, proven)
- Keep under 60 characters

Example change:
Before: "Guide to Email Marketing"
After: "Email Marketing Guide: 15 Proven Strategies (2025)"

Impact: CTR improves 40-80% average, rankings boost from engagement.

Time investment: 5 minutes per page.
2/ High-impact action 2: Add comparison tables:

Format that Google loves:

Where to add:

- "Best [category]" posts
- Product comparison articles
- Feature analysis content

What to include:

- 5 columns max (product, key feature, price, best for, rating)
- 5-8 rows max
- HTML table tags (not styled divs)

Impact: Featured snippet acquisition rate 6x higher with tables.

Time investment: 20 minutes per page.
Read 8 tweets
Jan 4
Never run out of local content ideas again.

Here's the 365-day local content calendar system: 🧵👇

(Used across 100+ local businesses)
1/ The Framework:

4 content types rotated weekly:

Week 1: Educational (how-to, guides)
Week 2: Local focus (events, news, culture)
Week 3: Service spotlight (deep dive one service)
Week 4: Social proof (case study, testimonial)

Repeat monthly with different angles.
2/ January - "New Year New [Service]"

Week 1: "5 [Service] Goals for 2025"
Week 2: "[City] Events This Month"
Week 3: "Complete Guide to [Service]"
Week 4: "How We Helped [Type of Client] in December"

Theme: Fresh starts, planning, goals
Read 15 tweets
Jan 4
URL parameters create duplicate content chaos.

example.com/page
example.com/page?ref=twitt…
example.com/page?ref=twitt…

Google sees 3 different URLs.
All with same content.
Wastes crawl budget.

Here's when to use parameters and when to avoid them: 🧵👇
1/ Parameters that DON'T change content

These should NEVER create new URLs:

❌ Tracking parameters

- utm_source, utm_medium, utm_campaign
- ref, source, campaign_id

❌ Session identifiers

- sessionid, sid, PHPSESSID

❌ Sorting (doesn't change products shown)

- sort=price, order=asc

Solution: Use hash fragments instead
`/page#sort=price` (not indexed by Google)

Or configure in GSC as "No URLs"
2/ Parameters that DO change content

These MAY need unique URLs:

✅ Pagination

- ?page=2

✅ Filters (if valuable)

- ?color=red
- ?brand=nike

✅ Search queries

- ?q=running+shoes

Decision: Does it have search volume?

- Yes → Let Google index
- No → Canonical to base or noindex
Read 8 tweets
Jan 3
I created 12 AI content templates for different content types, used across 400+ articles over 8 months.

Reduced content creation time by 60% while maintaining quality scores above 8/10 on editorial review.

Here's how to build reusable AI templates that produce consistent, scalable content: 🧵👇

Follow + Comment 'TEMPLATES' to get 12 AI content templates within 24h.
1/ Why generic prompts fail at scale:

The consistency problem:

Generic prompt: "Write about [topic]"
Result: Wildly varying quality, tone, structure
Editing time: 45-90 minutes per article

Templated prompt: Specific structure, examples, constraints
Result: Consistent output matching brand standards
Editing time: 15-30 minutes per article

Templates = predictable quality at scale.
2/ Template anatomy structure:

7 components every template needs:

1. Role definition ("You're a B2B SaaS marketer with 10 years experience")
2. Audience description ("Writing for VP Marketing at 100-500 person companies")
3. Content structure (Exact section headings required)
4. Style constraints ("2-3 sentence paragraphs, avoid phrases X Y Z")
5. Evidence requirements ("Include 3 specific examples with numbers")
6. Length specifications ("2,000-2,500 words total, 200-300 per section")
7. Output format (Markdown with H2/H3 structure)
Read 8 tweets
Jan 2
Analyzed 15 sites using AI-generated content at scale. 3 dominated their SERPs. 12 got buried or penalized.

The difference: How they structured content silos. Successful sites used a specific hub-and-spoke architecture.

Here's the AI content silo structure that works while most approaches fail: 🧵👇
1/ Why most AI content fails:

The common mistake:

Typical AI content approach:

- Generate 500 articles on random keywords
- Publish all at once
- No internal linking strategy
- No topical clustering

Result: Thin authority across many topics. Google sees no expertise depth.
2/ The hub-and-spoke silo:

Structure that works:

Hub page (pillar): Comprehensive guide (3,000-4,000 words)
Spoke pages (8-12): Supporting articles (1,500-2,000 words each)

Example silo:
Hub: "Complete Email Marketing Guide"
Spokes: "Email List Building", "Subject Line Best Practices", "A/B Testing", etc.

All spokes link to hub. Hub links to all spokes. Creates topical authority cluster.
Read 9 tweets
Jan 2
I ran a content audit on 800-page site. Found 240 pages with quick-win opportunities that required under 2 hours each to fix.

Implemented fixes over 6 weeks. Traffic increased 32% with no new content created.

Here's the audit template that surfaces high-ROI improvements hidden in existing content: 🧵👇
1/ The audit data export:

What to collect first:

Pull from Google Analytics (last 12 months):

- URL
- Sessions
- Bounce rate
- Average time on page
- Conversions (if tracked)

Pull from Google Search Console:

- URL
- Impressions
- Clicks
- Average position
- CTR

Pull from Ahrefs/Semrush:

- URL
- Ranking keywords
- Backlinks to page

Combine into single spreadsheet.
2/ Quick win category 1: High impressions, low CTR:

Pages visible but not clicked:

Filter for:

- Impressions > 1,000/month
- CTR < 5%
- Position 5-15

Found 47 pages matching criteria.

Fix: Rewrite title tags and meta descriptions (30 min per page)

Results: CTR improved 2.8x average, traffic +18%.
Read 8 tweets

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