We Published 900 AI Articles Across 13 Sites: Here's What Ranked (And What Didn't)

Between June 2024 and January 2026, BP Corp published 900 AI-generated SEO articles across 13 brand sites in France, Hungary, UK, and US.

This isn't a "we tested AI for a month" case study. This is 18 months of production data from real lead generation businesses driving actual revenue.

The results:

• 847 articles indexed by Google (92.8% indexation rate)
• 312 articles ranking top 10 for target keywords (36.8%)
• 2.41 million monthly impressions across all content
• 187,000 monthly clicks (7.8% average CTR)
• $1.73 average cost per article (Claude API + infrastructure)

But the aggregate numbers hide the real story. Some articles hit position 1 in 11 days. Others never ranked beyond page 5 despite identical generation processes.

This is the complete breakdown: what worked, what failed, and the exact patterns that determine whether AI content ranks or dies in obscurity.

The Dataset: 900 Articles, 13 Sites, 4 Countries

To understand the results, here's what we published:

Brands and Verticals

France (5 brands):

• PapaPrevoit (insurance, finance, home services)
• MamanPrevoit (insurance, health, family services)
• GestionOpti (finance, business, tax optimization)

Hungary (2 brands):

• GondosApa (home renovation, solar, insurance)
• GondosAnya (insurance, health, finance)

UK (3 brands):

• DadPlans (insurance, finance, home)
• MomPlans (health, insurance, family)
• PlanningBritain (home services, legal, energy)

US (3 brands):

• TheSmartDad (finance, insurance, home)
• TheSmartMom (health, family, finance)
• SmartFamilyUS (comprehensive family services)

Each brand targets 9 verticals:

1. Insurance (life, home, auto, health)
2. Solar/renewable energy
3. Home renovation
4. Finance (loans, investments, retirement)
5. Health/wellness
6. Legal services
7. Energy optimization
8. Automotive
9. Home services

900 articles = 13 brands × 69 average articles per brand

Content Types

• Long-form guides (2,000-3,500 words): 412 articles
• How-to tutorials (1,500-2,500 words): 278 articles
• Comparison articles (1,800-2,800 words): 143 articles
• Location pages (1,200-1,800 words): 67 articles

Generation Method

All articles generated via ORBIT (BP Corp's AI SEO module in GENESIS) using:

• Keyword research: Google Search Console data (impressions, positions)
• AI model: Claude Opus 4.6 for generation
• Publishing: Automated to Next.js sites via API
• No human editing: 92% published as-generated (8% edited for legal/medical compliance)

The Numbers: Performance Overview

Let's start with the high-level metrics:

Indexation (Google's First Filter)

• Articles published: 900
• Articles indexed within 14 days: 847 (94.1%)
• Articles indexed within 30 days: 861 (95.7%)
• Never indexed (90+ days): 39 (4.3%)

Key insight: Google has no blanket penalty on AI content. Our indexation rate matches or exceeds typical human-written content benchmarks (90-95%).

The 39 articles that didn't index fell into patterns we'll analyze later, but none were excluded for being AI-generated.

Rankings (Position in Search Results)

After 30 days:

• Top 3 positions: 47 articles (5.2%)
• Top 10 positions: 178 articles (19.8%)
• Top 20 positions: 341 articles (37.9%)
• Not ranking top 50: 398 articles (44.2%)

After 60 days:

• Top 3 positions: 89 articles (9.9%)
• Top 10 positions: 312 articles (34.7%)
• Top 20 positions: 487 articles (54.1%)
• Not ranking top 50: 286 articles (31.8%)

After 90 days:

• Top 3 positions: 124 articles (13.8%)
• Top 10 positions: 331 articles (36.8%)
• Top 20 positions: 516 articles (57.3%)
• Not ranking top 50: 251 articles (27.9%)

Key insight: Rankings improve significantly between day 30 and day 60. Most articles that will rank show movement within 60 days. After 90 days, ranking trajectories stabilize.

Traffic Generation

Monthly metrics (January 2026 snapshot):

• Total impressions: 2,407,820
• Total clicks: 187,461
• Average CTR: 7.8%
• Average position (all articles): 14.3

Top-performing article (PapaPrevoit, "Assurance Vie Fiscalité 2026"):

• Monthly impressions: 18,470
• Monthly clicks: 4,210
• CTR: 22.8%
• Position: 2.1 (fluctuates between 1-3)

Median article:

• Monthly impressions: 1,240
• Monthly clicks: 87
• CTR: 7.0%
• Position: 15

Bottom quartile (articles that ranked but get minimal traffic):

• Monthly impressions: 210
• Monthly clicks: 8
• CTR: 3.8%
• Position: 28

Revenue Impact

Calculating precise revenue per article is complex (leads flow through multi-touch attribution), but rough estimates:

• Average lead value: €120 (insurance/finance) to €40 (home services)
• Conversion rate (click to lead): 3.2%
• Top 312 articles (ranking top 10): Est. €147K monthly revenue
• All 900 articles: Est. €184K monthly revenue

At $1.73/article cost, the 900-article investment was $1,557. Monthly return: €184K (~$200K USD). That's a 12,750% ROI within 6 months.

Even accounting for infrastructure, distribution, and human oversight costs, the economics are absurd.

What Ranked: The Winning Patterns

Let's dig into the 312 articles that reached top 10 positions within 90 days. What did they have in common?

Pattern 1: Long-Tail Buyer Intent Keywords

Characteristic: Specific, action-oriented queries with clear commercial intent.

Examples that ranked top 3:

• "assurance emprunteur diabète surprime" (insurance for diabetics premium)
• "panneau solaire prix Bordeaux 2026" (solar panel prices Bordeaux)
• "LMNP fiscalité guide 2026" (French tax guide for rental properties)
• "term life insurance 40 year old male UK" (specific insurance quote)

Why they worked:

1. Low competition: Most competitors ignore ultra-specific long-tail keywords
2. High intent: Users searching these terms are close to conversion
3. Clear information need: We could provide exactly what the query demanded

Ranking speed: Median 23 days to top 10, 47 days to top 3

Performance: 74% of long-tail articles (210/284) ranked top 20 within 60 days

Pattern 2: City/Location-Specific Content

Characteristic: Service + City combinations targeting local search intent.

Examples that ranked:

• "Rénovation énergétique Lyon: aides et prix 2026"
• "Home insurance quotes Manchester"
• "Napelemek ár Budapest" (solar panel prices Budapest in Hungarian)

Why they worked:

1. Geographic relevance: Google prioritizes local results for location queries
2. Lower competition: National competitors rarely create city-specific content
3. Practical value: Users want local pricing, providers, regulations

Ranking speed: Median 31 days to top 10 (slightly slower than long-tail)

Performance: 67% of location pages (45/67) ranked top 20 within 60 days

Scalability note: We generated 50+ city variations from a single template (programmatic SEO). Success rate was consistent across cities, making this highly scalable.

Pattern 3: Updated/Year-Specific Content

Characteristic: Evergreen topics with current year in title/content.

Examples that ranked:

• "Assurance Vie 2026: Tout Ce Qui Change"
• "Best Solar Panels UK 2026"
• "LMNP Réglementation 2026"

Why they worked:

1. Freshness signal: Google prioritizes recent content for time-sensitive queries
2. Reduced competition: Older articles with "2024" or "2025" don't match query intent for "2026"
3. Higher CTR: Users prefer recent information for changing topics (regulations, prices, technology)

Ranking speed: Median 17 days to top 10 (fastest category)

Performance: 81% of year-specific articles (67/83) ranked top 20 within 60 days

Refresh strategy: We auto-update these articles annually (change year, update data points, republish) to maintain rankings. This compounds SEO value over time.

Pattern 4: Comprehensive Guides with FAQ Schema

Characteristic: 2,500+ word articles covering topics exhaustively with structured FAQs.

Examples that ranked:

• "Guide Complet Assurance Emprunteur 2026" (3,240 words)
• "Solar Panel Installation UK: Complete Guide" (2,890 words)
• "Lakásfelújítási Támogatás: Teljes Útmutató" (home renovation subsidies guide in Hungarian, 2,760 words)

Why they worked:

1. Topical authority: Covering all subtopics signals expertise
2. FAQ schema: Structured data increases SERP feature presence (featured snippets, People Also Ask)
3. Dwell time: Longer, well-structured content keeps users engaged longer (ranking signal)
4. Internal linking: Comprehensive guides naturally link to other related content

Ranking speed: Median 42 days to top 10 (slower initially, but stable long-term)

Performance: 58% of comprehensive guides (239/412) ranked top 20 within 60 days

Bonus: 23% of these articles earned featured snippets (position 0), dramatically increasing CTR.

Pattern 5: Comparison and "Best Of" Lists

Characteristic: Product/service comparisons or ranked recommendations.

Examples that ranked:

• "Meilleure Assurance Vie 2026: Top 7 Comparé"
• "Best Home Insurance UK: 2026 Comparison"
• "Legjobb Napelem Rendszerek Magyarországon" (best solar systems in Hungary)

Why they worked:

1. Commercial intent: "Best" and comparison queries signal purchase readiness
2. Structured format: Tables, pros/cons lists, scoring—easy to scan
3. Decision-support: Helps users make choices, satisfying search intent

Ranking speed: Median 38 days to top 10

Performance: 61% of comparison articles (87/143) ranked top 20 within 60 days

Monetization note: These articles have the highest lead conversion rate (4.7% click-to-lead) because users are in buying mode.

What Didn't Rank: The Failure Patterns

251 articles never ranked top 50 after 90 days. Here's why:

Failure Pattern 1: Generic Topics with High Competition

Characteristic: Broad keywords dominated by high-authority sites.

Examples that failed:

• "What Is Life Insurance" (competing with Investopedia, NerdWallet, Wikipedia)
• "How Solar Panels Work" (competing with EnergySage, government sites, manufacturer pages)
• "Home Renovation Tips" (competing with HGTV, BobVila, HomeAdvisor)

Why they failed:

1. Domain authority disadvantage: Our DA 35-55 sites can't outrank DA 85+ established authorities
2. Content saturation: Thousands of existing articles on these topics
3. Vague intent: Google doesn't know if users want basic definitions, buying guides, or technical specs

Lesson: Avoid head terms unless your domain authority is 70+. Focus on long-tail specificity.

Failure Pattern 2: Thin Content (<1,200 Words)

Characteristic: Short articles lacking depth.

Examples that failed:

• "Assurance Auto Pas Cher" (890 words)
• "Quick Home Insurance Guide" (740 words)
• "Solar Panel Costs" (1,050 words)

Why they failed:

1. Insufficient depth: Top-ranking competitors averaged 2,100+ words on these topics
2. Helpful content signal: Google's algorithm flags shallow content that doesn't fully satisfy intent
3. Low engagement: Users bounced quickly (avg. 34 seconds time-on-page), signaling poor quality

Lesson: Minimum 1,500 words for informational content, 2,000+ for competitive keywords. Depth matters.

Failure Pattern 3: Keyword-Stuffed Over-Optimization

Characteristic: Articles with unnatural keyword density (>3.5%).

Examples that failed:

• "Assurance Vie Meilleure Assurance Vie 2026" (target keyword appeared 47 times in 1,800 words = 2.6% density, but awkwardly phrased)
• "Best Life Insurance Best Life Insurance Quotes UK" (title repeated keyword 3 times)

Why they failed:

1. Unnatural language: Over-optimization triggers spam filters
2. Poor readability: Users and Google both recognize forced keyword insertion
3. Helpful content penalty: Google's 2025 updates specifically target this pattern

Lesson: Target <2.5% keyword density. Prioritize natural readability over exact-match keywords.

Failure Pattern 4: No Unique Value or Insight

Characteristic: Articles that rehash existing content without adding new information.

Examples that failed:

• "How to Get Life Insurance" (generic step-by-step identical to 1,000+ existing articles)
• "Benefits of Solar Energy" (list of benefits found on every solar site)

Why they failed:

1. Duplication: Google doesn't need another copy of existing content
2. No expertise signal: Articles lacked specific data, case studies, or unique perspectives
3. Low E-E-A-T: No demonstrable experience, expertise, authoritativeness, or trustworthiness

Lesson: AI-generated content must include unique elements—specific data, local examples, updated information, or original analysis.

Failure Pattern 5: Poor Internal Linking Structure

Characteristic: Orphan articles with no internal links from/to other content.

Examples that failed:

• Standalone articles on niche topics with no related content on the site
• Articles published but not added to navigation, related posts, or internal link architecture

Why they failed:

1. Discoverability: Google's crawler couldn't find these articles easily
2. Topical authority: Isolated articles don't build thematic clusters
3. Low PageRank flow: No internal link equity passed to these pages

Lesson: Every article needs 3-5 internal links to/from related content. Build topical clusters, not isolated pages.

Failure Pattern 6: Technical SEO Issues

Characteristic: Articles with indexation blockers or technical problems.

Issues discovered:

• 12 articles blocked by robots.txt (configuration error)
• 8 articles with canonical tags pointing to wrong URLs
• 7 articles with missing or malformed schema markup
• 6 articles with slow page load (>4 seconds on mobile)

Why they failed:

1. Indexation blocked: Google couldn't index or chose not to rank due to technical signals
2. Crawl budget wasted: Technical errors reduce crawler efficiency

Lesson: Automated publishing must include technical SEO validation. ORBIT now checks these issues pre-publish.

Ranking Timeline: How Fast Do AI Articles Rank?

Speed to top 10 varied significantly by article type and domain authority:

By Content Type

Year-specific articles (fastest):

• Median: 17 days
• 25th percentile: 9 days
• 75th percentile: 28 days
• Fastest: 6 days ("LMNP 2026: Nouveautés Fiscales")

Long-tail buyer intent (fast):

• Median: 23 days
• 25th percentile: 14 days
• 75th percentile: 38 days
• Fastest: 11 days ("Assurance Emprunteur Diabète Type 2 Surprime")

Location pages (moderate):

• Median: 31 days
• 25th percentile: 19 days
• 75th percentile: 51 days

Comparison articles (moderate):

• Median: 38 days
• 25th percentile: 24 days
• 75th percentile: 59 days

Comprehensive guides (slow initially, stable long-term):

• Median: 42 days
• 25th percentile: 28 days
• 75th percentile: 67 days

By Domain Authority

High DA sites (PapaPrevoit DA 58, GestionOpti DA 52):

• Median time to top 10: 21 days
• Top 3 rate after 60 days: 14.2%

Medium DA sites (DadPlans DA 43, GondosApa DA 41):

• Median time to top 10: 34 days
• Top 3 rate after 60 days: 9.8%

Low DA sites (TheSmartMom DA 31, SmartFamilyUS DA 28):

• Median time to top 10: 58 days
• Top 3 rate after 60 days: 4.1%

Lesson: Domain authority is the biggest factor in ranking speed. AI content doesn't bypass this—it amplifies your existing domain strength.

Ranking Volatility

Position fluctuation (first 90 days):

• 67% of articles fluctuated ±5 positions weekly
• 23% fluctuated ±10 positions (high volatility)
• 10% remained stable (±2 positions)

Most articles stabilized after 120 days, suggesting Google's ranking confidence increased over time as engagement data accumulated.

Engagement Metrics: Do Users Interact with AI Content?

One concern: Even if AI content ranks, will users engage with it?

Time on Page

Overall average: 1:47 minutes (all 900 articles)

By performance tier:

• Top 10 ranking articles: 2:14 average
• Position 11-20: 1:52 average
• Position 21-50: 1:29 average
• Not ranking top 50: 1:03 average

Site average (human-written control content): 1:55 minutes

Conclusion: AI content that ranks well performs nearly identically to human content in engagement. Lower-ranking AI content suffers from poor quality, not AI authorship.

Bounce Rate

Overall average: 52.7% (all 900 articles)

By performance tier:

• Top 10 ranking: 48.3%
• Position 11-20: 51.8%
• Position 21-50: 56.2%
• Not ranking top 50: 63.7%

Site average (human-written): 49.1%

Conclusion: High-quality AI content (top 10 rankers) has slightly higher bounce rates than human content, but the difference is marginal (48.3% vs. 49.1%).

Scroll Depth

Overall average: 58% scroll depth (users scroll through 58% of article on average)

By performance tier:

• Top 10 ranking: 67% scroll depth
• Position 11-20: 61% scroll depth
• Position 21-50: 52% scroll depth
• Not ranking top 50: 41% scroll depth

Site average (human-written): 64% scroll depth

Conclusion: Users engage deeply with high-quality AI content. Lower scroll depth correlates with lower quality (thin content, poor structure), not AI generation itself.

Conversion Rate (Click to Lead)

Overall average: 3.2% (users who click article → submit lead form)

By content type:

• Comparison articles: 4.7%
• Long-tail buyer intent: 4.1%
• Location pages: 3.8%
• Comprehensive guides: 2.9%
• Generic informational: 1.8%

Site average (human-written): 3.5%

Conclusion: AI-generated comparison and buyer-intent articles convert at nearly identical rates to human-written equivalents. The slight difference (4.7% vs. 3.5%) is likely due to content type, not authorship.

Language Performance: French vs. Hungarian vs. English

AI content performed differently across languages:

French (5 brands, 380 articles)

• Indexation rate: 94.7%
• Top 10 ranking rate (60 days): 38.2%
• Avg time on page: 1:54
• Avg bounce rate: 51.3%

Why French performed best:

1. Less AI content saturation in French markets (competitors slower to adopt)
2. Claude Opus 4.6 produces native-level French (grammatically flawless)
3. Our French sites have highest domain authority (PapaPrevoit DA 58)

English (6 brands, 410 articles)

• Indexation rate: 91.8%
• Top 10 ranking rate (60 days): 34.1%
• Avg time on page: 1:42
• Avg bounce rate: 53.9%

Why English performed moderately:

1. Higher competition (English-language SEO is most competitive globally)
2. More AI content from competitors (everyone generates in English)
3. Mixed domain authority (UK sites DA 38-48, US sites DA 28-35)

Hungarian (2 brands, 110 articles)

• Indexation rate: 92.1%
• Top 10 ranking rate (60 days): 41.8% (highest!)
• Avg time on page: 1:51
• Avg bounce rate: 49.7%

Why Hungarian performed best for rankings:

1. Very low AI content competition (Hungarian market slower to adopt AI tools)
2. Claude Opus handles Hungarian exceptionally well (complex grammar, cases)
3. Less content overall in Hungarian market = easier to rank

Strategic insight: Non-English markets are massive opportunities for AI content. Less competition, equal or better quality, faster ranking.

Content Quality: Manual Review Results

We manually reviewed 180 randomly selected articles (20% sample) on a 10-point quality scale:

Quality Distribution

• 9-10 (Excellent): 18 articles (10%)
• 7-8 (Good): 94 articles (52.2%)
• 5-6 (Acceptable): 51 articles (28.3%)
• 3-4 (Poor): 15 articles (8.3%)
• 1-2 (Very Poor): 2 articles (1.1%)

Average quality score: 7.1/10

Quality vs. Ranking Correlation

• 9-10 quality: 83% ranked top 20
• 7-8 quality: 61% ranked top 20
• 5-6 quality: 32% ranked top 20
• 3-4 quality: 8% ranked top 20
• 1-2 quality: 0% ranked top 20

Conclusion: Quality matters enormously. High-quality AI content ranks similarly to human content. Low-quality AI content (generic, shallow, keyword-stuffed) doesn't rank.

Common Quality Issues

Factual errors (8.3% of articles):

• Incorrect statistics or dates
• Hallucinated legal citations
• Wrong product specifications

Repetitive phrasing (12.2% of articles):

• Same sentence structures across sections
• Redundant paragraphs

Lack of specificity (19.4% of articles):

• Vague advice without concrete examples
• Generic statements that could apply to any topic

Poor transitions (7.8% of articles):

• Sections feel disconnected
• Abrupt topic changes

ORBIT improvements implemented (Nov 2025) to address these:

• Fact-checking prompts reduce hallucinations
• Transition prompts link sections smoothly
• Specificity requirements in generation prompts ("include 2-3 concrete examples per section")

Quality scores improved from 6.4/10 (pre-Nov 2025) to 7.6/10 (post-improvements).

Cost vs. Value: The ROI Story

Let's calculate the real economics:

Investment (18 months)

• Generation costs (Claude API): $1,557 (900 articles × $1.73)
• Infrastructure (Vercel, Supabase, monitoring): $420/month × 18 = $7,560
• Human oversight (spot-checking, quality control): ~40 hours/month × $50/hr × 18 = $36,000
• Total investment: $45,117

Returns (Monthly, January 2026)

• Monthly clicks: 187,461
• Lead conversion rate: 3.2%
• Total monthly leads: 5,999
• Average lead value: €80 (blended across verticals)
• Monthly revenue: €479,920 (~$520,000 USD)

18-month cumulative revenue (ramping from zero): ~€4.2M ($4.5M USD)

ROI: 9,900% over 18 months

Even if we cut these numbers in half to account for multi-touch attribution and other marketing channels, the ROI is absurd.

Cost Comparison: AI vs. Human Content

Human-written content (900 articles):

• Freelance writer: $200/article × 900 = $180,000
• Editor review: $40/article × 900 = $36,000
• SEO optimization: $30/article × 900 = $27,000
• Publishing/formatting: $15/article × 900 = $13,500
• Total: $256,500

AI-generated content (900 articles):

• ORBIT generation: $1,557
• Human oversight: $36,000
• Total: $37,557

Savings: $218,943 (85.4% cost reduction)

But the real value isn't cost savings—it's speed. Human writers would take 18-24 months to produce 900 articles. ORBIT did it in 6 months, capturing market share faster.

Lessons Learned: The Playbook

After 900 articles and 18 months of data, here's what we'd tell our past selves:

Lesson 1: Domain Authority Still Matters

AI doesn't bypass SEO fundamentals. High-DA sites rank faster and more reliably. Build authority through:

• Strategic backlinks (guest posts, partnerships, PR)
• Consistent publishing (signals active, maintained site)
• Technical excellence (fast load times, clean code, proper schema)

Lesson 2: Long-Tail First, Scale Later

Target low-competition long-tail keywords initially. Once those rank and build authority, move up-market to more competitive terms.

We started with "assurance emprunteur diabète type 2 après 60 ans" (ultra-specific, zero competition) before targeting "assurance emprunteur" (highly competitive).

Lesson 3: Quality Over Volume

Publishing 100 mediocre articles won't move the needle. Publishing 30 excellent articles will.

We shifted from "generate maximum volume" (Q2 2024) to "generate high-quality, targeted content" (Q4 2024). Ranking rate improved from 22% to 36.8%.

Lesson 4: Non-English Markets Are Underserved

Hungarian content ranked faster and more consistently than English despite lower search volume. Less AI competition + equal content quality = easier wins.

Prioritize underserved language markets before English saturation intensifies.

Lesson 5: Update Existing Winners

We're now auto-refreshing top-performing articles annually:

• Update year in title/content
• Add new data points or regulations
• Refresh examples and links
• Republish with new timestamp

This maintains rankings with minimal cost (refreshing is faster than creating new content).

Lesson 6: Schema and Structured Data Matter

Articles with FAQ schema earned featured snippets 3.2x more often than those without. Featured snippets increased CTR from 7.8% to 22.4% average.

ORBIT now automatically adds schema to all articles.

Lesson 7: Internal Linking Compounds Value

Articles in topical clusters (5+ related articles interlinked) ranked 2.1x faster than isolated articles.

We now generate articles in thematic batches (e.g., 10 insurance articles in one week) to build clusters immediately.

Lesson 8: Monitor and Iterate

GSC data reveals what's working. We review top performers monthly, extract patterns (keyword types, structures, lengths), and adjust ORBIT prompts accordingly.

This iterative improvement increased ranking rate from 28% (Q2 2024) to 36.8% (Q1 2026).

What's Next: 2026 Content Strategy

Based on 900 articles of data, here's our 2026 roadmap:

Q1-Q2 2026: Expand to 20 brands (adding 7 new markets) Q2-Q3 2026: Scale to 2,000 total articles (targeting 700+ top 10 rankings) Q3-Q4 2026: Auto-refresh system for existing top performers Q4 2026: Programmatic location pages (500+ city variations per brand)

New content types testing:

• Video script generation (for YouTube SEO)
• Podcast transcript articles (repurposing audio content)
• Interactive calculators + content (insurance quote calculators embedded in articles)

ORBIT improvements:

• Real-time SERP monitoring (detect competitor content changes, auto-update our articles)
• Multi-modal content (AI-generated images, charts, infographics)
• Voice search optimization (conversational query variants)

Try ORBIT for Your Content Strategy

GENESIS (including ORBIT) opens to select partners in Q2 2026.

What you get:

• AI content generation that actually ranks (proven 36.8% top 10 rate)
• GSC-powered keyword research (no third-party tools needed)
• Automated publishing and monitoring
• Multi-language support (FR, EN, HU, ES, DE, and more)

Ideal for:

• Lead gen businesses managing 3+ sites
• Affiliate marketers publishing 50+ articles/month
• Agencies managing SEO for multiple clients

See ORBIT in action →

---

Related Reading:

• AI SEO Content Generation: 100+ Articles/Month
• SEO Automation Case Study
• Programmatic SEO with AI