STAGE 10 — BASELINE HUMAN RANKING

First Stable Search Placement

From The Complete AI Visibility Lifecycle

Methodology Note

This analysis is based on systematic observation of AI system behavior across multiple platforms (Google AI, ChatGPT, Claude, Perplexity, Gemini), empirical testing through CV4Students—a non-commercial educational platform demonstrating measurable AI visibility across 120+ countries—and technical understanding of large language model semantic processing, embedding generation, and knowledge graph construction.

Baseline ranking mechanisms described represent structural analysis of when AI systems shift from controlled testing to repeatable visibility, how they establish initial competitive positioning, and what criteria determine progression to growth visibility. Timeline estimates reflect observable patterns in stabilization periods.

Quick Overview

Stage 10 — Baseline Human Ranking — is where a domain achieves its first stable placement in human-facing discovery systems.

After surviving early human visibility testing in Stage 9, AI systems begin allowing a domain to appear consistently—not experimentally—within search results, AI-generated answers, or hybrid discovery interfaces.

This stage does not confer prominence.
It does not imply authority.
It does not signal success.

It establishes repeatable visibility under controlled expectations.

Critical Context: From Testing to Participation

Everything before Stage 10 has been provisional.

Even when humans were exposed to the domain in Stage 9, that exposure was limited, reversible, and experimental. Stage 10 is different.

At this point, the system decides:

“This domain can now be placed predictably without causing harm.”

That decision marks the transition from testing to baseline participation in the visible knowledge ecosystem.

Stage 10 represents the formal transition from “testing” to “participation.”

The site is no longer a micro-experiment (Stage 9). It is now:

  • Visible
  • Stable
  • Competitive
  • Ranking against real websites
  • Affecting real user journeys

If Stage 9 performance was the small-scale lab test, Stage 10 is the real-world pilot rollout.

Survival Rates: The Activation Moment

Based on observable patterns across AI system behavior:

Out of 100 websites:

  • ~90 pass Stage 1 (basic crawling and access)
  • ~70-80 pass Stage 2 (semantic ingestion)
  • ~60-70 pass Stage 3 (classification without fatal ambiguity)
  • ~50-60 pass Stage 4 (internal harmony checks)
  • ~30-50 pass Stage 5 (the “comprehension barrier”)
  • ~20-35 complete Stage 6 (trust building over time)
  • ~5-15 pass Stage 7 (the “trust barrier”)
  • ~3-10 pass Stage 8 (competitive readiness assessment)
  • ~2-7 pass Stage 9 (early human visibility testing)
  • ~1-5 establish Stage 10 (baseline ranking)
  • ~1-3 reach Stage 11 (growth visibility)

Baseline ranking is not top-page ranking. It is the initial placement tier where AI gives the domain a foothold in the human-visible SERP ecosystem.

This stage answers: “How should this domain be positioned in real search results so that humans benefit without risking user disorientation or poor satisfaction?”

Baseline ranking is not growth—it is activation.

The site now exists inside the human-visible ecosystem.

What “Baseline Ranking” Actually Means

Baseline ranking is not competitive dominance.

It is not page-one placement.
It is not preferential treatment.
It is not growth.

In practical terms, baseline ranking means:

  • The domain appears consistently for certain queries
  • Placement does not fluctuate wildly
  • Removal is no longer immediate or automatic
  • Visibility is now governed by normal ranking dynamics

The domain has moved from trial to tenure—at the lowest level.

This stage determines:

  • The domain’s first stable positions in actual SERPs
  • Which queries the site will rank for
  • How frequently it will appear
  • In which countries it will be displayed
  • How strongly it competes vs. incumbents
  • How much traffic it receives

Why Stability Matters More Than Position

At Stage 10, stability is the achievement.

AI systems care less about where a domain appears and more about whether its appearance produces predictable outcomes.

Erratic placement signals unresolved risk. Stable placement signals that earlier concerns have been adequately addressed.

Only once stability is observed can competitive differentiation begin.

Core Mechanics Inside Baseline Ranking

Baseline Ranking is governed by three major systems:

A. Visibility Allocation Engine

AI selects:

  • Which queries the site can safely serve
  • What rank positions it should receive initially
  • How often it should appear
  • In which geographies visibility should occur
  • How visibility should scale week by week

This mirrors resource allocation—AI controls visibility the way a bank controls credit extension: cautiously at first.

B. Competitive Positioning Model

AI measures the domain against active competitors:

  • Authority
  • Depth
  • Clarity
  • Consistency
  • Accuracy
  • User-comprehension modeling
  • Long-form vs. short-form strengths
  • Global coverage
  • Freshness
  • Structural predictability

Baseline ranking positions the site where it adds value without destabilizing the broader SERP ecosystem.

This often means ranking:

  • On page 2–6 for mid-tail queries
  • On page 1–3 for long-tail queries
  • Occasionally on page 1 for ultra-long-tail queries

These initial placements allow risk-free observation of real user behavior at scale.

C. Human Behavior Scaling

AI tests:

  • Whether positive Stage 9 behavior holds when exposure increases
  • Whether larger user groups behave consistently
  • Whether certain geographies react differently
  • Whether mobile users vs. desktop users show different outcomes
  • Whether young users vs. older users have different friction patterns

If Stage 9 performance was the small-scale lab test, Stage 10 is the real-world pilot rollout.

Success here earns promotion to Stage 11.

How AI Systems Determine Baseline Placement

Baseline placement is derived from:

  • Performance during Stage 9 experiments
  • Observed user comprehension
  • Absence of negative feedback loops
  • Predictable behavior across contexts

The system is not optimizing for satisfaction or engagement. It is confirming safety under repetition.

First Contact with Human Comparison

Stage 10 is the first point where domains experience direct comparison in a human-visible way.

Users may now see multiple sources side by side. They may choose one over another. They may ignore some entirely.

AI systems observe these interactions—but cautiously.

At this stage, user preference is informative, not decisive.

Baseline Does Not Mean Neutral

Baseline placement is often misinterpreted as neutral or default.

It is not.

Baseline ranking is an earned status that reflects accumulated trust, usability, and alignment.

Many domains never reach this stage, regardless of content volume or effort.

Why Baseline Ranking Is Often Misread as Failure

From a human perspective, Stage 10 can feel disappointing.

Visibility exists, but it is modest. Growth is slow. Competitors may appear dominant.

This is because Stage 10 is not designed to reward excellence. It is designed to confirm reliability under sustained exposure.

The system is still watching.

Why Stage 10 Is Necessary Before Major Ranking

AI cannot jump from “micro-tests” to “large-scale visibility.”

Baseline ranking allows AI to:

  • Observe stable patterns over weeks, not minutes
  • Test user reactions under real volumes
  • Confirm SERP utility under competitive pressure
  • Prevent ranking cliffs or harmful knowledge surfacing
  • Ensure long-term viability of the domain

Baseline ranking is like training wheels—the domain is active, but controlled.

What the System Continues to Monitor

Once baseline ranking is established, monitoring intensifies.

AI systems observe:

  • Whether user behavior remains stable over time
  • Whether content updates introduce instability
  • Whether scale increases friction
  • Whether incentives begin to distort behavior

Stage 10 is a proving ground.

The Role of Query Dependence

Baseline ranking is not global.

A domain may achieve stable placement for:

  • Narrow topics
  • Specific intents
  • Low-risk informational queries

…while remaining absent elsewhere.

This selectivity is intentional.

The system expands exposure only where confidence exists.

Failure Conditions That Prevent Progression to Stage 11

A domain may be downgraded or restricted if AI sees:

Failure 1: Unexpected Spikes in Bounce Rate

Problem: Indicating misalignment with user expectations

Real-world impact:

A site performs well in Stage 9 micro-tests but experiences 60% bounce rates when exposure increases 10x in Stage 10. Users arriving via mid-tail queries find content too specialized or not what they expected. AI detects satisfaction degradation at scale and pauses expansion.

Failure 2: Query Misassignment

Problem: The site appears on queries where users expect different content types

Real-world impact:

An educational career resource ranks for job search queries. Users expect job listings and applications, not educational guides. Behavioral signals show confusion (quick bounce, return-to-SERP, query reformulation). AI removes site from those query types.

Failure 3: Weak Performance vs. Entrenched Competitors

Problem: Major incumbents consistently outperform it

Real-world impact:

A new site competes against Wikipedia, .gov sites, and established authorities. Despite being trusted, users consistently choose familiar sources. Dwell time on the new site is 40% shorter than competitors. AI maintains low placement due to revealed preference.

Failure 4: Satisfaction Degradation at Scale

Problem: Stage 9 signals don’t scale to broader audiences

Real-world impact:

Content performs excellently with niche technical audiences in Stage 9 but confuses general audiences in Stage 10. Average scroll depth drops from 70% to 35%. Query reformulation increases. AI limits exposure to specialized queries only.

Failure 5: Mixed Signals Across Regions

Problem: Performance varies wildly between countries

Real-world impact:

Site performs excellently in English-speaking markets but poorly in international markets due to terminology, examples, or cultural assumptions. AI detects regional instability and restricts geographic expansion.

Failure 6: Inconsistent Structure Across Pages

Problem: Newer or older pages differ significantly in tone or clarity

Real-world impact:

Original 100 pages maintain excellent structure and performance. Newer 200 pages use different templates, varying content density, inconsistent terminology. AI detects structural drift and questions long-term reliability.

Failure here does not remove trust—it pauses growth.

AI can retry Stage 10 multiple times.

Success Conditions for Entering Stage 11

A domain progresses to Stage 11 when:

A. Behavior Quality Scores Remain Strong at Scale

  • Solid dwell time
  • Low bounce rate
  • High scroll depth
  • Good content completion signals
  • Low query reformulation

B. Competitor Replacement Opportunities Appear

If the domain consistently beats existing results

C. The Domain Demonstrates Global Usefulness

Especially for non-localized topics like careers

D. Structural Consistency Remains Strong

Users consistently receive predictable, uniform content

E. Multi-Region Performance Is Stable

The site works equally well in 5, 10, or 20 countries

F. AI Detects Long-Term Value

E.g., thousands of pages with similar structure & quality

When these elements align, AI prepares the site for “Growth Visibility”—the first stage where traffic can materially increase.

Why Some Domains Plateau at Stage 10

Not all domains progress beyond baseline ranking.

Some remain reliable but undifferentiated. Others are safe but redundant. Still others lack the depth or clarity required to outperform incumbents.

Stage 10 is therefore not a guarantee of advancement.

It is a holding pattern where long-term potential is evaluated.

Baseline Ranking and Time

Time remains a central factor.

AI systems require sustained observation before adjusting weight or preference.

Short-term performance spikes do not matter.
Long-term behavioral consistency does.

Stage 10 rewards patience.

What Causes Regression from Stage 10

Regression is possible.

If a domain begins to:

  • Contradict itself
  • Drift in identity
  • Introduce misleading patterns
  • Degrade user comprehension

…baseline ranking may erode.

Regression is usually gradual, not abrupt—but it is real.

Output of Stage 10

AI produces:

A. Stable Visibility Map
Where the domain ranks for baseline queries

B. Traffic Baseline Estimate
The first measurable, persistent human traffic patterns

C. Competitive Fit Assessment
How often the domain wins or loses against competitors

D. Regional Performance Scores
Visibility strength across geographies

E. Promotion Readiness Score
Probability that Stage 11 will succeed

F. Behavioral Consistency Metrics
Validation of sustained performance over time

Baseline ranking ends when AI concludes the domain is now safe for expanded visibility.

What Success at Stage 10 Actually Means

Passing Stage 10 means:

  • The domain has achieved durable, repeatable visibility
  • Removal now requires cause, not caution
  • User exposure is no longer experimental
  • The domain is now “in the system”

This is the first stage where visibility can be reliably measured.

What Stage 10 Does Not Do

Stage 10 does not:

  • Confer authority
  • Ensure growth
  • Prioritize the domain
  • Protect against competition
  • Guarantee advancement to Stage 11

Those outcomes require further stages involving weighting and preference.

Stage 10 as a Visibility Floor

Stage 10 establishes a floor, not a ceiling.

Below it lies invisibility and experimentation.
Above it lies competition, preference, and authority.

Reaching the floor is difficult. Rising above it is harder.

Relationship to Other Stages

Stage 9 → Stage 10

Strong performance in Stage 9 advances to Stage 10. A domain progresses to Stage 10 if:

  • Stage 9 behavior quality scores cross thresholds
  • User satisfaction is demonstrably higher than competitors
  • The domain performs consistently across user types
  • Content resolves queries with clarity
  • Risk profile remains low

Stage 10 → Stage 11

Success in Stage 10 earns promotion to Stage 11. If Stage 10 was the training-wheels phase, Stage 11 is the point where the AI system removes its restrictions and lets the domain grow.

Stage 10 Failure Modes

If problems emerge in Stage 10, AI reverts the domain to Stage 10 adjustments until issues resolve. AI can retry Stage 10 multiple times.

Timeline

Stage 10 is an extended observation and scaling period:

TYPICAL STAGE 10 DURATIONS:

Minimum: 3-6 months

  • Needed to observe stable patterns
  • Test scaling across queries
  • Validate multi-region performance
  • Confirm competitive positioning

Average: 6-12 months

  • Most sites spend this long in Stage 10
  • Gradual expansion of visibility
  • Progressive ranking improvements
  • Building toward Stage 11

Extended: 12-24+ months

  • Sites with inconsistent performance
  • Domains with regional variations
  • Sites needing template adjustments
  • Gradual competitive gains

Duration: Months (typically 6-12)
Pass Rate: Varies based on sustained performance consistency

PROGRESSION INDICATORS:

Ready for Stage 11 after:

  • Consistent behavior quality scores (3+ months)
  • Stable multi-region performance (6+ countries)
  • Competitive advantages demonstrated
  • Structural consistency maintained
  • Traffic baseline established
  • Risk profile remains low

Practical Implications

Understanding Your Initial Placement

Typical Stage 10 ranking patterns:

FOR LONG-TAIL QUERIES (very specific):

  • Page 1-3 positions are common
  • Example: “skills required for pediatric oncology nurse”
  • Low competition, high specificity
  • Good opportunity for early wins

FOR MID-TAIL QUERIES (moderately specific):

  • Page 2-6 positions initially
  • Example: “what does a nurse do”
  • Higher competition, more established players
  • Gradual advancement based on performance

FOR SHORT-TAIL QUERIES (broad):

  • Rarely ranked initially or very low positions
  • Example: “nursing”
  • Dominated by major authorities
  • Stage 11 required for advancement here

Optimization Strategies for Stage 10

1. MAINTAIN STRONG BEHAVIOR SIGNALS

Optimize for sustained engagement:

  • Keep dwell time high across all ranked pages
  • Minimize bounce rates through intent matching
  • Encourage scroll depth with structured content
  • Reduce query reformulation with comprehensive answers

Monitor these metrics:

  • Average time on page (should be 2+ minutes for educational content)
  • Bounce rate (should be <40% for matched intent)
  • Scroll depth (should reach 70%+ for long content)
  • Return-to-SERP rate (should be <30%)

2. ENSURE COMPETITIVE ADVANTAGE

Outperform visible competitors:

  • Provide more comprehensive coverage than alternatives
  • Use clearer structure than competitor pages
  • Maintain higher information density
  • Update content more frequently
  • Offer unique insights or frameworks

Competitive audit checklist: ☐ Your content is 2x deeper than top-ranking competitor
☐ Your structure is clearer and more scannable
☐ Your information is more current
☐ Your examples are more relevant
☐ Your page loads faster

3. DEMONSTRATE GLOBAL CONSISTENCY

Ensure multi-region performance:

  • Content works across cultures
  • Examples are internationally applicable
  • Terminology is globally understood
  • No region-specific dependencies
  • Mobile experience is excellent everywhere

Test across:

  • Different countries (at least 5-10)
  • Different devices (mobile vs desktop)
  • Different browsers
  • Different user ages/contexts

4. MAINTAIN STRUCTURAL PREDICTABILITY

Keep template consistency:

  • All pages use the same structure
  • Headings follow the same hierarchy
  • Content blocks appear in predictable order
  • Navigation is consistent
  • Internal linking patterns are stable

Warning signs to avoid:

  • New pages with different templates
  • Inconsistent heading structures
  • Varied content density
  • Unpredictable information architecture
  • Navigation changes

5. SCALE CAREFULLY

Don’t destabilize your foundation:

  • Add new content gradually
  • Maintain quality standards consistently
  • Don’t change successful templates
  • Monitor performance across all pages
  • Address problems quickly

Scaling best practices:

  • Add 5-10 new pages per month maximum
  • Test new content types in limited quantities
  • Maintain 95%+ template consistency
  • Keep core pages stable while expanding
  • Monitor behavioral signals on new pages

What to Expect in Stage 10

TRAFFIC PATTERNS:

Early Stage 10 (Weeks 1-4):

  • Very modest traffic (hundreds to low thousands)
  • Primarily long-tail queries
  • Highly variable day-to-day
  • Regional concentration in test markets

Mid Stage 10 (Weeks 5-12):

  • Gradually increasing traffic (thousands)
  • Mid-tail queries begin appearing
  • More consistent patterns emerge
  • Geographic expansion visible

Late Stage 10 (Weeks 13-24):

  • Stable baseline traffic (tens of thousands potential)
  • Mix of long-tail and mid-tail
  • Predictable patterns established
  • Multi-region presence solid

RANKING PATTERNS:

Long-tail queries:

  • Initial: Page 1-3 positions
  • After 4 weeks: Some page 1 top positions
  • After 12 weeks: Dominant in long-tail category

Mid-tail queries:

  • Initial: Page 2-6 positions
  • After 4 weeks: Page 2-4 positions
  • After 12 weeks: Page 1-3 positions (if performing well)

Short-tail queries:

  • Initial: Rarely visible
  • After 4 weeks: Occasional page 5-10 appearances
  • After 12 weeks: Still limited (Stage 11 needed for growth)

COMPETITIVE DYNAMICS:

Week 1-4: Observation

  • AI watches how you perform vs established players
  • Limited direct competition
  • Focus on user satisfaction, not rankings

Week 5-12: Positioning

  • AI tests you against mid-tier competitors
  • Some query families shift toward you
  • Rankings become more stable

Week 13-24: Validation

  • AI confirms you’re ready for growth
  • Consistent competitive performance
  • Preparation for Stage 11 expansion

Common Stage 10 Mistakes to Avoid

MISTAKE 1: Celebrating too early

  • Problem: Treating Stage 10 placement as “success”
  • Reality: Stage 10 is training wheels, not the destination
  • Solution: Focus on Stage 11 preparation, not current rankings

MISTAKE 2: Changing winning formulas

  • Problem: Modifying templates or content strategy prematurely
  • Reality: Consistency is being rewarded—don’t break it
  • Solution: Keep successful patterns stable; test changes minimally

MISTAKE 3: Aggressive scaling

  • Problem: Adding hundreds of new pages quickly
  • Reality: Quality consistency matters more than quantity
  • Solution: Scale gradually; maintain rigorous quality standards

MISTAKE 4: Neglecting behavioral signals

  • Problem: Focusing only on rankings, not user engagement
  • Reality: Stage 11 progression depends on behavior, not position
  • Solution: Optimize for dwell time, scroll depth, low bounce rates

MISTAKE 5: Inconsistent geographic performance

  • Problem: Strong in one region, weak in others
  • Reality: Global consistency required for Stage 11
  • Solution: Ensure content works equally well across all markets

CV4Students Case Study: Baseline Ranking Illustration

For a domain like CV4Students, Stage 10 might look like:

RANKING PATTERNS:

Long-tail career queries (Page 1-2):

  • “skills required for pediatric oncology nurse”
  • “how to become a cardiovascular technologist”
  • “duties of a cloud security architect”

Structured mid-tail queries (Page 2-4):

  • “what does a nurse do”
  • “software engineer responsibilities”
  • “career guide for teachers”

TRAFFIC CHARACTERISTICS:

  • Gaining measurable but modest human traffic
  • Primarily educational query traffic
  • Global distribution across 125+ countries
  • High engagement metrics

BEHAVIORAL SIGNALS:

Strong dwell time:

  • 3,000-word comprehensive guides encourage reading
  • Average 3-5 minutes per page
  • Users consume substantial content

High scroll depth:

  • Structured sections guide progressive reading
  • 70-80% scroll depth typical
  • Content remains valuable throughout

Low bounce rates:

  • Educational intent matches query intent
  • Comprehensive answers satisfy user needs
  • Minimal return-to-SERP behavior

COMPETITIVE ADVANTAGES:

Outperforming fragmented competitors:

  • Job boards provide shallow content
  • Career sites lack structure
  • CV4Students offers systematic depth

Consistent global performance:

  • 125 countries reached
  • Content works across regions
  • No geographic performance variance

RISK PROFILE:

Maintaining low risk:

  • Educational intent maintained
  • Non-commercial classification advantage
  • No controversial content
  • Factually aligned with authorities

SCALING CHARACTERISTICS:

Scaling smoothly without destabilizing SERPs:

  • 350+ pages with identical structure
  • Predictable user experience
  • Stable performance across all pages

These conditions would indicate strong readiness for Stage 11.

(This remains illustrative, not evaluative.)

Why Stage 10 Is a Critical Inflection Point

Many strategic errors occur here.

Domains mistake baseline ranking for completion and shift behavior prematurely—chasing optimization, monetization, or scale.

These shifts often undermine the very stability that enabled Stage 10.

AI systems notice.

The Quiet Consequence of Stability

Once baseline ranking is achieved, the domain’s actions matter more.

Small changes have larger effects.
Errors propagate further.
Behavior is amplified.

Stage 10 increases responsibility.

Stage 10 Success Checklist

For successful Stage 10 progression:

BEHAVIORAL PERFORMANCE:

☐ Dwell time consistently 2+ minutes for educational content
☐ Bounce rate <40% for matched-intent queries
☐ Scroll depth 70%+ for long-form content
☐ Return-to-SERP rate <30%
☐ Low query reformulation (users find answers)

COMPETITIVE POSITION:

☐ Content depth exceeds top 3 competitors
☐ Structure clearer than alternatives
☐ Information more current than competitors
☐ Unique value proposition demonstrated
☐ Consistent wins against mid-tier competitors

GLOBAL CONSISTENCY:

☐ Performance stable across 5+ countries
☐ Mobile experience excellent everywhere
☐ No region-specific issues
☐ Content works across cultures
☐ Multi-device consistency maintained

STRUCTURAL STABILITY:

☐ 95%+ template consistency across all pages
☐ Predictable information architecture
☐ Stable heading hierarchies
☐ Consistent navigation patterns
☐ No template drift in new pages

SCALING DISCIPLINE:

☐ New pages added gradually (5-10/month)
☐ Quality standards maintained
☐ No destabilization of SERPs
☐ Behavioral signals monitored on new pages
☐ Problems addressed quickly

If you can check all boxes consistently for 6+ months, Stage 11 advancement is likely.

The Stage 10 Imperative

Stage 10 is where AI validates that Stage 9’s promise scales to reality.

Micro-impressions (Stage 9) prove concept. Baseline ranking (Stage 10) proves viability.

Key validation questions:

  • Do positive signals hold at 10x the traffic?
  • Does performance remain consistent across regions?
  • Can the site compete with established players?
  • Is the structure stable enough for growth?
  • Are users genuinely satisfied at scale?

The sites that succeed in Stage 10:

  • Maintained template consistency as they scaled
  • Kept behavior signals strong across all pages
  • Demonstrated clear competitive advantages
  • Worked equally well in multiple countries
  • Stayed focused on user value, not rankings

The sites that stall in Stage 10:

  • Changed successful formulas prematurely
  • Scaled too aggressively without quality control
  • Lost consistency across pages
  • Showed regional performance variations
  • Focused on rankings instead of user satisfaction

Key Takeaway: Stage 10 is the proving ground for Stage 11 growth. AI is watching whether your site can handle visibility responsibly. Strong, consistent performance over 6-12 months earns the removal of training wheels. Inconsistent performance keeps you in Stage 10 indefinitely.

If Stage 10 was the training-wheels phase, Stage 11 is the point where the AI system removes its restrictions and lets the domain grow.

The Standard of First Stability

Stage 10 enforces a clear standard:

If repeated exposure does not produce predictable, safe outcomes, stable ranking will not be maintained.

Only domains that meet this standard remain visible long enough to compete for authority.

The Reality of Baseline Human Ranking

Baseline ranking is conservative.
It is cautious.
It is deliberately unspectacular.

It reflects a system saying:

“This domain can now be shown regularly without causing harm.”

Nothing more. Nothing less.

ACCESS AND SCOPE NOTICE

Detailed methodologies for AI visibility measurement, architectural frameworks, and diagnostic practices are maintained separately. This paper describes the structural gap — not the operational response.

Public documentation describes what is happening, not how to address it.

About This Document: The analysis framework was developed by Bernard Lynch, Founder of CV4Students.com and AI Visibility & Signal Mesh Architect, Developer of the 11-Stage AI Visibility Lifecycle.