Everyone talks about crawl budget.

Nobody talks about rendering budget.

Google has limited resources to render JavaScript.

If your site requires too much rendering:

- Google doesn't render it fully
- Content stays invisible
- Rankings tank

Client's React site looked perfect. Google saw 30% of it: 🧵👇 1/ What is rendering budget

Google crawls your page → gets HTML.

If HTML has JavaScript:

- Google must render it (execute JS)
- Rendering takes resources
- Google has finite rendering capacity
- Complex sites may not render fully

The problem:
Your site uses React/Vue/Angular.
Every page needs rendering.
Google can't render millions of pages.
Your pages get partial rendering or none.

Content refresh strategies can dramatically improve rankings.

The process is systematic, not random.

Here's the framework: 🧵 1/ Why content refreshes work:

Google favors fresh, updated content:

Ranking factors improved:

- Freshness signals (updated date)
- Content depth (added sections)
- User experience (better structure)
- Topical relevance (current information)

Result: Algorithm sees improved quality → higher rankings.

Typical improvement: 2-5 positions within 30-60 days.

"We can't afford SEO right now."

Calculate the opportunity cost and you'll realize you can't afford NOT to do SEO.

Here's the math: 1/ The typical "we'll wait" scenario:

Company profile:

- B2B SaaS, $2M ARR
- $15K/month marketing budget
- Currently: 100% paid ads
- Considering: Adding SEO ($3K/month)
- Decision: "Not yet, too expensive"

Let's calculate what this delay actually costs.

Typical SEO fix timeline:

1. Identify issue
2. Create ticket for dev team
3. Wait 2 weeks
4. Get deployed
5. Wait for Google to recrawl

Total: 4-8 weeks.

Edge SEO = instant fixes.

Deploy in minutes.
No dev team needed.
No site rebuild.

Here's how Cloudflare Workers transform SEO: 🧵👇 1/ What is Edge SEO

Code runs at CDN level (the "edge").

Before request reaches your server:

- Modify HTML
- Add/change headers
- Implement redirects
- Fix canonical tags
- Add schema

Benefits:

- Deploy in seconds
- No dev team needed
- No site rebuild
- A/B test instantly
- Roll back instantly

Client had 3-month dev backlog.
Fixed SEO issues in 1 day with Workers.

B2B content publishing has a proven revenue model.

High-quality content + strategic SEO = predictable revenue.

Here's the framework for building a sustainable organic revenue machine: 🧵 1/ The B2B publisher business model:

Revenue streams:

Primary: Lead generation (60-70%)

- Software demos
- Trial signups
- Sales qualified leads

Secondary: Advertising (20-30%)

- Sponsored content
- Display ads
- Newsletter sponsorships

Tertiary: Affiliates (10-20%)

- Software referrals
- Tool recommendations

All driven by organic traffic.

Local tax accountant made $240K in 3 months.

Then went quiet for 9 months.

Seasonal business = seasonal strategy.

Here's how to dominate event-based local search: 🧵 1/ The Seasonal Reality:

Some businesses have:

- 80% revenue in 3 months (tax season)
- Holiday-dependent traffic (florists, caterers)
- Event-driven demand (wedding photographers)
- Weather-based spikes (HVAC, snow removal)

Traditional SEO strategy doesn't work.

Managing SEO for 10 pages = easy.

Managing SEO for 1 million pages = nightmare.

Can't manually optimize each page.
Can't manually check each URL.
Can't manually fix issues.

I work with sites doing $100M+ annually.
Here's how to scale SEO to enterprise level: 🧵👇 1/ The template-based approach

You can't optimize 1M pages individually.

Solution: Optimize templates.

One homepage template = 1 homepage
One category template = 5,000 categories
One product template = 500,000 products

Fix template = fix all pages using it.

Client had 12 templates.
Fixed SEO on all 12.
Impacted 2.4 million pages.

One company dominates every keyword in their industry.

Not through domain authority alone. Through strategic topic clustering.

Here's the framework that creates topical monopolies: 🧵 1/ What is topic cluster dominance?

Instead of random blog posts, you build:

- 1 pillar page (comprehensive overview)
- 10-20 cluster pages (deep-dive subtopics)
- All internally linked strategically
- Covers entire topic ecosystem

Result: Google sees you as THE authority on this topic.

Client's SaaS traffic dropped 94% after a site migration disaster.

6 months later: Traffic up 450% from the pre-crash baseline.

Here's the complete turnaround playbook: 🧵 1/ The disaster (Month 0):

SaaS company: B2B project management tool

Pre-migration performance:

- 28,000 organic sessions/month
- 340 keywords ranking top 10
- 1,200 trial signups/month
- MRR: $180K from organic

Post-migration crash:

- 1,680 organic sessions/month (-94%)
- 23 keywords ranking top 10
- 80 trial signups/month
- MRR: $12K from organic

Revenue loss: $168K/month

Clients don't care about "Domain Authority."

They care about revenue.

Here's the reporting template that actually makes sense: 🧵 1/ The Problem With Most Reports:

What agencies show:

- Domain Authority: +5
- Backlinks: +47
- Keyword rankings: Mixed results
- Technical issues: Fixed 12

Client thinks: "So... is this working?"

Added lazy loading to all images.

PageSpeed score went from 65 to 92.
Should be great for SEO, right?

Wrong.

Traffic dropped 20%.

LCP (Largest Contentful Paint) went from 1.8s to 4.2s.

The problem? Lazy loaded the hero image.

Here's how to lazy load without killing SEO: 🧵👇 1/ What lazy loading actually does

Lazy loading delays image loading until needed.

Normal loading:

- Browser loads all images immediately
- Slow page load
- Wastes bandwidth

Lazy loading:

- Browser loads visible images only
- Fast initial load
- Loads more as user scrolls

The trap:

- Lazy load EVERYTHING = breaks Core Web Vitals
- LCP image must load immediately

Clients always ask: "How much should we spend on SEO?"

The answer isn't a number. It's a formula.

Here's the budget calculator framework: 🧵 1/ The wrong way to budget:

Most companies pick arbitrary numbers:

❌ "Let's spend $2K/month" (based on what?)
❌ "Whatever competitors spend" (different goals)
❌ "What we have left over" (recipe for failure)
❌ "10% of marketing budget" (no logic)

Budget should be based on goals and market reality.

301 vs 302. 410 vs 404. 503 vs 500.

Most developers think these are interchangeable.

They're not.

Wrong status code cost a client 40% of their link equity.
Another client's 503 errors during maintenance = 8-week ranking recovery.

The HTTP status codes that actually matter for SEO: 🧵👇 1/ The redirect mistake: 301 vs 302

301 = Permanent redirect

- Passes 90-95% of link equity
- Tells Google: old page is gone forever
- New page inherits rankings

302 = Temporary redirect

- Passes minimal link equity
- Google keeps indexing old page
- Rankings don't transfer

Client used 302 for redesign.
Lost all rankings.
Took 6 months to recover.

Always use 301 unless truly temporary.

Client spent $15K on content.
$10K on link building.
$5K on technical optimization.

Traffic still sucked.

The problem? $5/month shared hosting.

Server response time: 3.2 seconds.
Google crawled 80% less than competitors.

Switched hosting → traffic increased 210% in 5 weeks: 🧵👇 1/ Server response time kills rankings

TTFB (Time to First Byte) matters:

Under 200ms: Excellent
200-500ms: Good
500ms-1s: Problematic
Over 1s: Rankings killer

Client's cheap hosting:

- TTFB: 3,200ms
- Google crawled slowly
- Crawl budget wasted
- Pages took weeks to index

Competitor on good hosting:

- TTFB: 180ms
- Google crawled aggressively
- Fast indexing

I analyzed link acquisition patterns across 1,000 websites over 18 months.

Found the "Goldilocks zone" for link velocity that maximizes rankings without triggering penalties.

Here's what the data revealed: 🧵 1/ The study parameters:

Sample size breakdown:

- 1,000 websites tracked (B2B SaaS and ecommerce)
- 200 new sites (0-12 months old)
- 400 established sites (1-3 years)
- 400 mature sites (3+ years)
- Tracked monthly for 18 months
- Measured: link velocity, rankings, penalties
- Total links tracked: 487,000+

A local HVAC company was getting 30 leads per month from their website.

18 months later: 200+ qualified leads monthly.

Here's the complete local SEO transformation: 🧵 1/ Starting point (Month 0):

Business: HVAC services in Phoenix metro

Website metrics:

- 840 monthly organic sessions
- 30 leads/month (3.5% conversion rate)
- Ranking for 23 local keywords
- Google Business Profile: 4.2 stars, 87 reviews
- 3 service pages, 12 blog posts
- Zero local citations

Revenue from website: ~$45K/month

The $500/month SEO agency destroyed a client's 10-year-old domain in 4 months.

The $8K/month agency grew their traffic 340% in the same timeframe.

Here's why quality SEO can't be cheap: 🧵 1/ The math doesn't lie:

Quality SEO requires real labor hours:

Minimum monthly deliverables:

- Technical audit & fixes: 12 hours
- Keyword research & strategy: 8 hours
- Content creation (4 articles): 40 hours
- Link building (15-20 links): 30 hours
- Reporting & analysis: 6 hours
- Client communication: 4 hours

Total: 100 hours/month minimum

Site architecture determines how much of your site Google can find and rank.

Most sites have terrible architecture.

Here's how to structure a site for maximum SEO: 🧵

Repost + comment 'STRUCTURE' for my site architecture audit template. 1/ The Architecture Problem:

Bad structure symptoms:

❌ Important pages 5+ clicks from homepage
❌ Orphan pages (no internal links)
❌ Flat structure (everything top-level)
❌ Confusing navigation
❌ Poor internal linking

Google struggles to crawl.
Pages don't rank.

500 articles analyzed to find what predicts ranking success before publishing.

A scoring system emerged with 87% accuracy for top 10 rankings.

Here's the exact framework: 🧵 1/ Why most content fails:

People publish blindly:

No pre-publication quality check
Guessing what will rank
Inconsistent standards
No predictive metrics

A system was needed to know if content would succeed BEFORE hitting publish.

I ran a 6-month experiment: $10K on new content vs $10K on updating existing content.

The ROI difference was shocking.

Here's the data on why content updates win: 🧵 1/ The experiment setup:

Two identical budgets, different strategies:

Strategy A (New Content):

$10,000 budget
40 new articles created
2,000-2,500 words each
Promoted equally

Strategy B (Content Updates):

$10,000 budget
120 existing articles updated
Added 500-1,000 words each
Same promotion effort

6 months later, results measured.

I scaled SEO operations from 5 sites to 50+ without additional hires.

The key wasn’t working harder. It was building efficient processes.

Here's the framework for SEO processes that actually scale: 🧵 1/ The scaling problem most SEO teams face:

You're stuck in the execution trap:

Doing all keyword research manually
Writing all content yourself
Building links one by one
Fighting fires daily
No documentation
Can't delegate

You are the bottleneck. Process fixes this.