Decart

Visibility27

Vibe82

Businesses/Artificial Intelligence/Decart

AI Visibility & Sentiment

Decart

Decart is an AI research lab building the fastest visual AI systems ever made. They specialize in real-time video generation and editing technology, with their flagship product Lucy 2.0 enabling high-fidelity video transformations with minimal latency for both consumer applications and industrial workloads.

Active Monitoring

decart.ai

Artificial Intelligence

AI Visibility Score

27/100

Low

Sentiment Score

82/100

AI Perception

Summary

Decart has successfully dominated the technical niche for real-time video generation within Google AI Overviews, yet it remains a ghost in ChatGPT and broader enterprise trust discussions. While technical personas like the Infrastructure CTO recognize Decart for low-latency APIs, the brand is currently being outpaced by Synthesia and Runway in high-value professional production and scaling queries.

Value Proposition

The most efficient AI lab in the world, delivering the fastest visual AI systems that understand the world, transform video live, and scale from consumer apps to industrial workloads with cutting-edge efficiency and custom low-level engineering.

Overview

Mission

Building the fastest visual AI systems ever made, powered by cutting-edge efficiency and custom low-level engineering.

Products & Services

Lucy 2.0 real-time video generation modelAPI platform for video AILive video editing toolsCharacter swap technologyEnterprise video AI solutions

Agent Breakdown

AI Platforms

How often do different AI platforms reference Decart?

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Conversation Analysis

Topics

What conversations is Decart included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Decart to, and when?

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Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Real Time Video Application Development(3 queries)

“help me find a low latency api for generating video in real time”

1/3 platforms mentioned

Claude

1.Runway ML

2.Gen-3

3.Pika 1.0

4.Synthesia

5.Replicate

+5 more

Gemini

1.Amazon Web Services

2.AWS

3.FFmpeg

4.Google Cloud Platform

5.GCP

+12 more

AI Overviews

1.Decart AI

2.Lucy 2.0

3.Mirage LSD

4.fal.ai

5.Runware

+8 more

“what's the best way to integrate live character swap in a video call app”

1/3 platforms mentioned

Claude

1.Runway Gen-3

2.Decart AI

3.Facetime

4.LiveKit

5.ONNX

+9 more

Gemini

1.OpenCV

2.dlib

3.MediaPipe

4.Three.js

5.Unity

+24 more

AI Overviews

1.Banuba Face AR SDK

2.VideoSDK AI Character SDK

3.Akool Live Face Swap API

4.AKOOL

5.Amigo AI

+8 more

“recommend some fast video ai models for building interactive tools, specific apis to check please”

1/3 platforms mentioned

Claude

1.Runway Gen-3

2.ElevenLabs Dubbing API

3.Comfy UI

4.RunPod

5.Pika 2.0

+1 more

Gemini

1.Luma AI

2.Stability AI

3.Stable Video Diffusion

4.SVD

5.Pika Labs

+7 more

AI Overviews

1.Decart AI

2.Lucy 2.0

3.Runway

4.Gen-3 Alpha Turbo

5.Veo 3 Fast

+12 more

Enterprise Visual AI Scaling(1 query)

“compare the top enterprise video ai platforms for scale and efficiency”

0/3 platforms mentioned

Claude

1.AWS Rekognition Video

2.AWS

3.Google Cloud Video Intelligence

4.Microsoft Azure Video Analyzer

5.Azure

+4 more

Gemini

1.Amazon Rekognition

2.AWS

3.Amazon Web Services

4.Google Cloud Video Intelligence API

5.Google Cloud

+7 more

AI Overviews

No brands listed

High Speed Creative Video Production(1 query)

“i need an ai tool that can transform video live with zero lag, what should i buy”

1/4 platforms mentioned

ChatGPT

1.NVIDIA

2.CUDA

3.TensorRT

4.NVENC

5.WebRTC

+48 more

Claude

1.NVIDIA

2.RTX GPUs

3.RTX 4090

4.RTX 4080

5.OBS Studio

+7 more

Gemini

1.NVIDIA

2.CUDA

3.TensorFlow

4.MobileNet

5.EfficientNet

+20 more

AI Overviews

1.Sora

2.Runway

3.Decart AI Lab

4.NVIDIA

5.NVIDIA RTX

+6 more

Navigating The Video AI Model Landscape(1 query)

“most trusted video ai companies for professional production work”

0/4 platforms mentioned

ChatGPT

1.Adobe

2.Premiere Pro

3.Adobe Sensei

4.Frame.io

5.Blackbird

+36 more

Claude

1.Adobe

2.Firefly

3.Premiere Pro

4.DaVinci Resolve

5.Blackmagic Design

+7 more

Gemini

1.Adobe

2.Sensei AI

3.Adobe Premiere Pro

4.After Effects

5.Photoshop

+7 more

AI Overviews

1.Synthesia

2.Runway

3.Gen-3

4.Gen-4

5.Google DeepMind

+17 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Exceptional performance in Google AI Overviews with a 53% mention rate, specifically leading rankings for 'real-time video generation' and 'low latency api' queries.

Strength

High relevance among technical personas, achieving a #1.5 average position with Infrastructure-Focused Startup CTOs.

Strength

Strong brand-vibe check performance across all tested platforms, indicating clear identity when specifically searched.

Gap

Total invisibility on ChatGPT (0% mention rate), which is a critical entry point for enterprise decision-makers.

Gap

Failure to appear in 'Enterprise Visual AI Scaling' and 'Navigating the Video AI Model Landscape' queries, leaving the high-end market to NVIDIA and Synthesia.

Gap

Poor positioning for the High-Volume Content Creator persona, where an average position of 8.0 suggests Decart is an afterthought compared to HeyGen.

Opportunity

Bridge the technical-to-enterprise gap by framing 'low latency' as a 'mission-critical reliability' feature for professional production.

Opportunity

Target the Enterprise Innovation Lead persona, which currently shows positive sentiment but low frequency (18%), by producing content focused on scaling and ROI.

Opportunity

Capitalize on the mixed sentiment of competitors to position Decart as the more stable, developer-first alternative.

Technical Health

Site Health for AI Visibility

How well Decart's website is optimized for AI agent discovery and comprehension.

93/100

19 passed 2 warnings

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO98

Titles, descriptions, headings

Content Quality73

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

3 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

Meta description may be truncated (190 characters)

Shorten to under 160 characters.

Content may be too short

Expand your content to at least 500 words with valuable information.

Want a full technical audit with AI-specific recommendations?

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Brand Identity

Brand Voice & Style

How AI perceives Decart's communication style and personality

Decart communicates with confident technical authority while maintaining accessibility for developers and business stakeholders alike. Their voice emphasizes efficiency, speed, and cutting-edge innovation without being overly complex. They balance bold claims about being 'the most efficient AI lab in the world' with substantive technical credibility, creating a tone that is ambitious yet grounded in engineering excellence.

Core Tone Traits

Technically Confident

Makes bold claims backed by engineering expertise and measurable performance

Innovation-Forward

Emphasizes cutting-edge technology and pushing boundaries of what's possible

Developer-Centric

Speaks directly to technical audiences with clear, actionable messaging

Efficiency-Obsessed

Consistently highlights speed, performance, and optimization as core values

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Decart

Synthesia15 mentions

Runway14 mentions

NVIDIA13 mentions

Decart13 mentions

HeyGen11 mentions

AWS8 mentions

RunwayML8 mentions

D-ID8 mentions

TensorRT8 mentions

Pika Labs8 mentions

Replicate7 mentions

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

Real-Time Video AI API Platform | Decart AI Lab

https://decart.ai/api-platform

Referenced in 1 query

Review

Google models | Generative AI on Vertex AI

https://docs.cloud.google.com/vertex-ai/generative-ai/docs/models

Referenced in 1 query

Review

How to Build Low-latency AI Video Avatars for Real-time ...

https://dev.to/simli_ai/how-to-build-low-latency-ai-video-avatars-for-real-time-interactions-5a7

Referenced in 1 query

Review

Best live streaming SDK and API providers for developers - Mux

https://www.mux.com/articles/best-live-streaming-sdk-and-api-providers-for-developers

Referenced in 1 query

Pitch Story

Low-latency video AI API - Tavus

https://www.tavus.io/post/low-latency-video-ai-api

Referenced in 1 query

Review

Runware | One API for all AI

https://runware.ai/

Referenced in 2 queries

Review

Decart AI Lab | Real-Time Generative Video & Multimodal Models

https://decart.ai/

Referenced in 4 queries

Review

7 best AI video generator APIs - Shotstack

https://shotstack.io/learn/best-ai-video-generator-api/

Referenced in 2 queries

Review

Build low-latency live streaming - Mux

https://www.mux.com/interactive-live-streaming

Referenced in 1 query

Pitch Story

Browse API-Ready AI Models - Runware

https://runware.ai/models

Referenced in 1 query

Review

Best Video Generation AI Models in 2026 - Pinggy

https://pinggy.io/blog/best_video_generation_ai_models/

Referenced in 2 queries

Review

Ultimate Guide – The Best Open Source AI APIs of 2026 - SiliconFlow

https://www.siliconflow.com/articles/en/the-top-open-source-AI-APIs

Referenced in 1 query

Review

Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Decart's resources to help users.

Dominate ChatGPT Discovery Through Strategic Tech PR

Addresses the critical 0% mention rate on ChatGPT by executing a high-authority tech PR campaign targeting publications that OpenAI's models heavily reference. This involves securing features in TechCrunch, Wired, and VentureBeat while simultaneously updating technical documentation on GitHub and developer platforms that ChatGPT indexes for AI tool recommendations.

How Decart's Custom Low-Level Engineering Delivers 10x Faster Video Generation Than Competitors

The Technical Architecture Behind Lucy 2.0's Real-Time Video Transformation Capabilities

Why Enterprise Teams Are Switching from Traditional Rendering to AI-Powered Video Pipelines

Decart's Journey: From Research Lab to the Most Efficient Visual AI System Ever Built

Breaking Down the Latency Barrier: Engineering Insights from Decart's Core Team

Reposition Brand for Enterprise and Professional Queries

Tackles the 'niche tool' perception by creating content explicitly targeting 'Enterprise Scaling' and 'Professional Production' keywords where Synthesia and NVIDIA currently dominate. This strategic pivot ensures Decart appears in AI responses when decision-makers ask about scalable video AI solutions for industrial workloads.

Enterprise Video AI: How Fortune 500 Companies Scale Real-Time Generation Across Global Teams

Professional Production Workflows: Integrating Decart's API Into Existing Media Pipelines

Comparing Enterprise Video AI Solutions: Latency, Scalability, and Total Cost of Ownership

From Prototype to Production: Scaling Visual AI from 1 to 1 Million Renders

Why CTOs Choose Real-Time Video AI Over Traditional Cloud Rendering for Mission-Critical Applications

Optimize Technical Documentation for LLM Parsing

Improves the 27% mention rate on Claude by restructuring technical documentation with clear headers, structured data, and explicit capability statements that LLMs can easily parse. This maintains Decart's lead in AI Overviews while ensuring Anthropic's models accurately represent the platform's technical advantages.

A Developer's Guide to Decart's API: Speed Benchmarks, Use Cases, and Integration Patterns

Technical Deep Dive: How Lucy 2.0 Achieves Sub-100ms Video Transformation Latency

Decart vs. Alternatives: An Honest Technical Comparison for Engineering Teams

Documentation Best Practices: Structuring AI Tool Specs for Maximum Discoverability

Performance Metrics That Matter: Understanding Decart's Efficiency Benchmarks

Build Trust Through Creator and CTO Case Studies

Addresses mixed sentiment among creator and CTO personas by developing trust-focused case studies that demonstrate real-world success stories. These detailed narratives convert high-visibility rankings into adoption by providing the social proof and technical validation these audiences require before committing.

Case Study: How a Solo Creator Produced 100 Hours of Transformed Video in One Week

CTO Perspective: Evaluating Decart's Security, Reliability, and Enterprise Readiness

From Skeptic to Advocate: A Content Creator's Honest Review After 6 Months with Lucy 2.0

ROI Analysis: Measuring Time and Cost Savings After Implementing Real-Time Video AI

Trust in AI Tools: How Decart Handles Data Privacy, Model Transparency, and Output Quality

Content Engineering

Recommended Actions

Execute a ChatGPT-focused indexing strategy through high-authority tech PR and documentation updates.

A 0% mention rate on the world's most used AI platform is a critical failure that cedes the entire conversational discovery funnel to competitors.

Impact: High

Pivot content strategy to address 'Enterprise Scaling' and 'Professional Production' keywords.

Decart is currently siloed as a 'niche tool'; to grow, it must appear in queries where Synthesia and NVIDIA are currently the only mentioned solutions.

Impact: High

Optimize technical documentation for LLM crawling to maintain the lead in AI Overviews while improving average position on Claude.

Claude shows mixed sentiment and a lower mention rate (27%) than AI Overviews, suggesting the brand's technical advantages aren't being fully parsed by Anthropic's models.

Impact: Medium

Develop 'Trust-Focused' case studies to combat the mixed sentiment found in creator and CTO personas.

High-visibility rankings for creators are currently hampered by inconsistent sentiment, which prevents discovery from converting into adoption.

Impact: Medium

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