Noel Ceta Profile picture
Jan 21 13 tweets 3 min read Read on X
A hacked website can destroy traffic, rankings, and revenue almost overnight.

One site saw 12,000 spam pages indexed, a 73% ranking drop, and revenue plunge to near zero.

Here's the 90-day recovery that restored everything: 🧵👇
1/ The crisis situation:

Day 0 discovery:

What happened:

- WordPress site compromised
- 12,000 spam pages created automatically
- Japanese gambling spam injected
- Rankings dropped 73% over 2 weeks
- Google Safe Browsing warning displayed
- Traffic: 55K sessions/month → 15K

Revenue impact: $180K/month → $48K/month

Client called in panic mode.
2/ Day 1-3: Stop the bleeding:

Immediate actions:

Hour 1: Take site offline temporarily

- Prevent further damage
- Stop spam page creation
- Assess scope

Hour 2-4: Identify entry point

- Found outdated plugin (not updated 2 years)
- Malicious code injected through vulnerability

Hour 5-8: Clean infected files

- Removed malicious code
- Deleted spam pages (all 12,000)
- Restored from clean backup (partial)

Day 2-3: Security hardening

- Updated all plugins/themes
- Changed all passwords
- Installed security plugin (Wordfence)
- Set up monitoring

Site back online: 72 hours after discovery.
3/ Week 1: Google communication:

Clearing blacklist:

Day 4: Request malware review

- Submitted reconsideration in GSC
- Documented all cleanup actions
- Listed security measures implemented

Day 5-7: Monitor status

- Google reviewed within 48 hours
- Malware warning removed
- Safe Browsing cleared

But rankings still down 73%. Traffic still at 15K.

Real recovery work begins now.
4/ Week 2-3: Spam URL cleanup:

Deindexing bad pages:

Challenge: 12,000 spam URLs still in Google index

Solution sequence:

- Created list of all spam URLs
- Returned 410 Gone status (not 404)
- Submitted removal requests in GSC (bulk)
- Created updated sitemap (clean URLs only)
- Disavowed spam domains linking to spam pages

Progress: 8,400 spam pages removed from index by week 3.
5/ Week 4-5: Content restoration:

Fixing legitimate pages:

Issues found:

- 80 legitimate pages affected by hack
- Spam text injected into footers
- Hidden links added to content
- Meta descriptions corrupted

Cleanup process:

- Manually reviewed all 80 pages
- Removed injected spam
- Restored original content
- Verified clean code

Quality check: Each page manually inspected.
6/ Week 6-7: Link profile analysis:

Addressing damage:

New toxic backlinks from hack:

- 240 spam links acquired during hack period
- Links to spam pages created
- Links from malware networks

Actions:

- Exported all backlinks
- Identified hack-related links (240)
- Created disavow file
- Submitted to GSC

Protecting authority from spam link association.
7/ Week 8-9: Content enhancement:

Rebuilding trust signals:

Enhanced top 30 pages:

- Added 300-500 words per page
- Updated statistics and examples
- Improved formatting
- Added FAQ sections with schema
- Strengthened E-E-A-T signals

Showing Google: Site is active, maintained, legitimate.
8/ Week 10-11: Technical optimization:

Performance improvements:

Site speed: 4.2 seconds → 1.8 seconds

- Image optimization
- Caching configured
- CDN implemented

Core Web Vitals: All passing
Mobile: Fully responsive
Security: SSL, HTTPS enforced

Technical excellence signals site health.
9/ Week 12-13: Recovery acceleration:

Results emerging:

Traffic progression:

- Week 8: 18K sessions (20% recovery)
- Week 10: 26K sessions (47% recovery)
- Week 12: 38K sessions (69% recovery)
- Week 13: 44K sessions (80% recovery)

Rankings improving:

- Top keywords returning to page 1
- Long-tail rankings recovering faster
- Brand searches fully recovered

Not 100% yet, but trajectory positive.
10/ Month 4 (Final recovery phase):

Reaching pre-hack levels:

Actions:

- Published 12 new articles (show activity)
- Acquired 8 quality backlinks (rebuild authority)
- Continued content updates
- Maintained technical excellence

Results by Day 90:

- Traffic: 52K sessions (95% of baseline)
- Rankings: 90% of keywords recovered
- Revenue: $165K/month (92% of baseline)

Full recovery: Achieved by Month 4 (120 days total).
11/ Prevention measures implemented:

Never again:

Security protocols:

- Weekly automated backups (stored offsite)
- Plugin/theme auto-updates enabled
- Security monitoring active (Wordfence)
- Access limited (removed unused accounts)
- Strong passwords enforced (password manager)

Monitoring:

- Daily uptime checks
- Weekly security scans
- Monthly access reviews

Cost: $100/month in security tools
Value: Prevented recurrence.
12/ Crisis recovery worked because:

✓ Fast response (site offline within hours)
✓ Thorough cleanup (all malicious code removed)
✓ Google communication (proactive reconsideration)
✓ Spam URL removal (bulk 410 status)
✓ Content restoration (80 pages fixed)
✓ Link profile cleaning (240 toxic links disavowed)
✓ Content enhancement (trust signals rebuilt)
✓ Technical optimization (performance improved)
✓ Prevention implemented (security hardened)

Timeline: 90 days to 95% recovery
Investment: 120 hours crisis work + $3K in security/cleanup
Result: Revenue restored from $48K to $165K/month

Hacks are recoverable with systematic approach.

Speed of action determines recovery speed.

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More from @noelcetaSEO

Feb 9
Real estate agent went from page 5 to owning page 1 in 11 months.

Competitive market with 200+ agents fighting for same keywords.

The secret? Hyperlocal SEO done the right way.

Here's the hyperlocal SEO strategy that worked: 🧵👇
1/ The competitive challenge:

Starting position:

Market: Major metro area (population 2M+)
Competition: 200+ active real estate agents
Established players: 20+ with DR 50-70
Our agent: New site, DR 12, zero rankings

Target keywords highly competitive:

- "Real estate agent [City]" (8,100 searches/month)
- "Homes for sale [City]" (12,400 searches/month)
- "[Neighborhood] real estate" (30+ neighborhoods)

David vs Goliath times 200.
2/ The hyperlocal strategy:

Go narrow and deep:

Instead of competing citywide immediately:

- Target 8 specific neighborhoods first
- Create comprehensive neighborhood content
- Build neighborhood-level authority
- Expand outward after dominance

Neighborhood selection criteria:

- Active home sales (inventory turnover)
- Agent knows area intimately (expertise)
- Search volume exists (demand validation)
- Lower competition (achievable wins)
Read 14 tweets
Feb 9
We built 180 quality links in 18 months using a simple CRM system.

No scattered spreadsheets. No lost opportunities.

Skipped juggling emails and forgetting prospects.

Here's the link building CRM that actually scales:
1/ Why you need a link CRM:

The tracking problem:

Without system:

- Lost follow-ups (forget to reply)
- Duplicate outreach (email same person twice)
- No relationship history (what did we discuss?)
- Can't measure what works (which tactics convert?)

With CRM:

- Automated follow-up reminders
- Full contact history
- Performance tracking by tactic
- Relationship progression visible

We tested both. CRM increased link acquisition by 140%.
2/ The CRM structure:

Core components:

Contacts database:

- Name, email, website
- Domain authority
- Relationship status (cold/warm/partner)
- Last contact date
- Notes on interactions

Opportunities pipeline:

- Prospect → Pitched → In Discussion → Secured → Published
- Each stage has automated tasks
- Conversion rates tracked per stage

Campaign tracking:

- Group prospects by campaign type
- Track performance by tactic
- A/B test subject lines and approaches
Read 8 tweets
Feb 8
New Amazon sellers struggle to rank.

No sales history. Few reviews. Buried in search results.

One seller flipped the script with a content site. Grew sales 280% in 10 months.

They did it by driving Google traffic to their listings.

Here’s the SEO arbitrage strategy crushing it 🧵👇
1/ The Amazon SEO limitation:

Why sellers need external traffic:

Amazon's algorithm:

- Favors established sellers (sales history)
- Benefits from existing reviews (social proof)
- Rewards conversion rate (past performance)

New sellers struggle:

- No sales history (algorithm penalty)
- Few reviews (lower conversion)
- Low visibility (page 3-5 placement)

External traffic solves cold start problem.
2/ The content site strategy:

Building the funnel:

Created: ProductReviews[Niche].com
Published: 80 comparison and review articles
Target keywords: "[Product] review", "best [product]", "[product A] vs [product B]"

Example articles:

- "Best Camping Tents Under $200"
- "Coleman Tent vs REI Tent: Which Is Better?"
- "Camping Tent Buying Guide 2024"

Each article links to seller's Amazon listings (affiliate links).
Read 13 tweets
Feb 7
Traditional content silos organize by categories. AI clustering organizes by semantic relationships.

Sites using AI clustering rank for 3x more related keywords.

Here's why semantic organization beats manual categories: 🧵👇
1/ Traditional silo problems:

Manual organization limitations:

Category-based structure:

- Marketing (main category)
→ Email Marketing (subcategory)
→ Content Marketing (subcategory)
→ Social Media (subcategory)

Issues with this approach:

- Topics overlap (email content strategy fits where?)
- Rigid hierarchy (can't show natural relationships)
- Manual decisions (subjective categorization)
- Missing connections (related topics in different silos)

Example: "Email automation workflows" could fit in email OR marketing automation OR content strategy.

Forced choice limits topical relevance signals.
2/ How AI clustering works:

Semantic relationship mapping:

AI analysis process:

- Analyzes all content on site
- Identifies semantic relationships
- Groups by topic similarity (not manual categories)
- Creates natural content clusters

Example output:
Cluster 1: Email deliverability ecosystem

- Connected: IP warming, sender reputation, authentication, inbox placement
- Relationship score: 85-92% semantic similarity

Cluster 2: Conversion optimization

- Connected: Landing pages, CTAs, A/B testing, form optimization
- Relationship score: 78-88% semantic similarity

AI finds connections humans miss.
Read 9 tweets
Feb 6
I built a 45-article content cluster in 8 weeks.

Doing it manually? It would have taken 9 months.

The result: a full topic authority network ranking for 2,800+ keywords in 6 months.

Here’s exactly how AI can scale content without sacrificing quality 🧵👇
1/ What topical authority means:

The concept:

Traditional SEO: Target individual keywords
Topical authority: Dominate entire topic comprehensively

Google's perspective:

- Which site knows this topic best?
- Who covers all aspects thoroughly?
- Which site should rank for everything related?

Content cluster = comprehensive topic coverage signal.
2/ The cluster structure:

Hub and spoke model:

1 Pillar page (hub):

- "Complete Guide to Content Marketing"
- 6,500 words
- Covers topic at high level
- Links to all cluster content

45 Cluster articles (spokes):

- Each covers subtopic deeply
- 1,800-2,500 words each
- Links back to pillar
- Links to related cluster articles

Total coverage: Comprehensive topic authority.
Read 10 tweets
Feb 5
Created one pillar page.

18 months later: it ranks for 1,247 keywords and drives 28K monthly sessions from a single URL.

Most marketers are still publishing dozens of posts with little traffic.

A single well-structured pillar page can outperform an entire blog.

Here’s the exact template that makes it work 🧵👇
1/ What makes a pillar page:

Not just long content:

Regular article: Targets 1-3 keywords
Pillar page: Targets 50-100+ related keywords

Structure difference:

- Comprehensive topic coverage (all subtopics)
- Hub for cluster content (internal linking)
- Multiple search intents served (informational + commercial)
- 5,000-8,000 words typical

Our pillar: 6,800 words on "Email Marketing"
2/ The pillar page structure:

Section-by-section breakdown:

Section 1: Overview (400-600 words)

- What is [Topic]
- Why it matters
- Who should use it
- Quick wins preview

Section 2: Core Concepts (1,500-2,000 words)

- 8-12 fundamental concepts
- 150-200 words per concept
- Each concept = subtopic keyword target

Section 3: Strategy Framework (1,200-1,500 words)

- Step-by-step approach
- Decision frameworks
- Strategic considerations

Section 4: Tools and Resources (800-1,000 words)

- Tool comparisons
- Templates and calculators
- Resource recommendations

Section 5: Advanced Tactics (1,000-1,200 words)

- Expert-level strategies
- Case studies
- Optimization techniques

Section 6: Common Challenges (600-800 words)

- FAQ format
- Troubleshooting guide
- Mistake prevention

Section 7: Getting Started (400-600 words)

- Action steps
- Quick start checklist
- Next resources
Read 15 tweets

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