Runway vs Sora 2: AI Visibility Showdown - A Comprehensive Analysis

A detailed comparison of how generative AI engines evaluate, rank, and recommend two leading AI video generation platforms based on visibility, citations, and share of voice.

R

Runway

S

Sora 2

Overview

SHARE OF VOICE

Runway

51%

Strong competitor

Sora 2

49%

Trailing by 2 pts

AVERAGE VISIBILITY

Runaway

70%

Strong in Usability

Sora 2

64%

Strong in Capability

Total Prompts Analyzed

120 Across 2 AI models

Total Citations

108 From 81 sources

Brand Overview

Understanding the core role and positioning of each entity within the AI video ecosystem.

Runway

AI Video Creation Platform

Key Strengths

Key strengths

  • End-to-end video creation & editing
  • Creative controls: camera motion, motion brushes
  • Popular with creators & studios
  • Well-documented workflows

Sora 2

OpenAI Video Generation Model

Key Strengths

Key strengths

  • Top-tier video generation at model level
  • Strong temporal consistency & scene understanding
  • Core tech for next-gen AI video systems
  • Highly referenced in evaluations

Share of Voice Analysis

Competitive presence across AI engines and query categories.

Overall SOV Distribution

Head-to-head competitive positioning

SOV by AI Platform

Cross-platform presence comparison

Runway
Sora 2
PlatformRunway SOVSora 2 SOVGapStatus
GPT5347+6.0 ptsRunway leading
Perplexity4951-2.0 ptsSora 2 leading
Overall Average5149+2.0 ptsRunway leading

AI Visibility Score Comparison

How visible each brand is across different AI query categories.

91

Runway Overall Score

89

Sora 2 Overall Score

Video Quality & Temporal Consistency

Runway90
Sora 294

Creative Control & Editing

Runway96
Sora 272

Ease of Use

Runway93
Sora 268

Brand Recognition

Runway94
Sora 291

Educational & Documentation Coverage

Runway95
Sora 270

Pricing & Cost-Effectiveness

Runway90
Sora 285
TopicLeaderVisibilitySentimentPerformance
Most advanced AI video generation modelSora 294%Positivedominant
Best AI video tool for creatorsRunway93%Positivestrong
AI video with strong temporal consistencySora 292%Positivestrong
Production-ready AI video platformRunway90%Positivestrong
AI video tool with advanced camera controlRunway98%Positivedominant

Citation Source Analysis

Where AI engines pull information about each brand.

AI Citation Sources Breakdown by Brand

Where AI engines pull information about each brand.

Sora 2 relies more heavily on official announcements and community discussions, while Runway shows stronger visibility through tutorials and video-based platforms.

Owned vs Third-Party Citation Mix

Comparison of how AI balances brand-owned content versus external sources.

SourceRunwaySora 2
----

Strategic Recommendations

Actionable insights for improving AI visibility for each platform.

For Runway

Reinforce Platform-Level Differentiation

High GEO Impact

Issue: In some AI responses, Runway is framed primarily as a wrapper around underlying models.

  • Clearly articulate platform-specific value beyond model access
  • Emphasize workflow, tooling, and creative control advantages
Expected impact

A 10–15 percentage point increase in platform-focused recommendations.

Expand Beginner-Oriented Positioning

High Priority

Opportunity: Runway’s professional positioning can reduce visibility in entry-level queries.

  • Develop simplified onboarding content and starter workflows
  • Highlight speed-to-output and low learning curve
Expected impact

A 15–20 percentage point growth in beginner and lightweight creator queries.

For Sora 2

Clarify the Capability-to-Use-Case Narrative

High GEO Impact

Issue: Sora 2 is frequently cited for technical excellence, but AI responses often lack clear application context.

  • Publish structured examples mapping model capabilities to real-world video scenarios
  • Provide reference-ready descriptions of strengths and limitations
Expected impact

Could increase a 15–20 percentage point increase in use-case-related visibility.

Improve Structured Documentation Signals

High Priority

Opportunity: Sora 2 information is often fragmented across news and discussions.

  • Release consolidated technical overviews and capability summaries
  • Improve citation consistency across authoritative sources
Expected impact

Could achieve a 20–25 percentage point increase in technical and explanatory query visibility.

Conclusion

Final assessment and key takeaways.

Final Assessment

In the AI video landscape, Sora 2 and Runway compete within AI-generated video, but AI systems perceive them differently: Sora 2 represents core video model capabilities, while Runway operates at the application layer focused on usability, creative workflows, and commercial deployment.Runway leads tool recommendations with 70% visibility, while Sora 2 maintains 64% visibility as a technical capability source.

The path forward for both brands is clear:

  • Sora 2 should strengthen application-oriented framing to improve recommendation clarity
  • Runway should continue reinforcing its independent platform value while improving accessibility

With focused execution on these strategies, both platforms can expand their addressable markets while continuing to leverage their core strengths in discovery, trust, and decision-making support.

What is Generative Engine Optimization?

Understanding how AI systems discover, evaluate, and recommend models and platforms. GEO focuses on how generative AI systems decide what to mention, how to describe it, and when to recommend it.

GEO Key Strategies include:

  • Content structure and clarity
  • Authoritative, citable references
  • Share of voice across AI engines
  • Consistent trust signals

This report analyzes Sora 2 and Runway's GEO performance, focusing on visibility, citation rate, and share of voice, offering insights on how they can compete in the AI-driven market.

FAQ

requently asked questions about this analysis and Generative Engine Optimization.

Why does Runway lead in overall AI visibility?
Runway aligns closely with user intent by offering an immediately usable tool, which AI engines favor in recommendation scenarios.
Where does Sora 2 outperform Runway?
In queries focused on model capability, realism, and temporal consistency, Sora 2 is referenced more frequently.
How do AI engines distinguish between Sora 2 and Runway in visibility ranking?
AI treats Sora 2 as a video model capability source and Runway as a usable creation platform.
Can improving GEO shift Sora 2 into more recommendation-oriented AI responses?
Yes, by clearly linking model capabilities to practical use cases.
How does content structure influence AI visibility for models versus platforms?
Models need clear capability definitions; platforms need clear workflows.
Why does Runway appear more frequently in “best tool” recommendations?
Because Runway matches AI’s preference for task-ready, actionable solutions.

Ready to boost your AI visibility

Get a comprehensive analysis of how AI understands and recommends your brand versus competitors.