What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

LiveKit

Visibility38

Vibe96

Businesses/Software Development/LiveKit

AI Visibility & Sentiment

LiveKit

LiveKit is an open-source framework and developer platform that provides the infrastructure needed to build, test, deploy, and scale real-time voice, video, and physical AI agents. It simplifies complex integrations by offering a unified stack for STT, TTS, and LLM technologies.

Active Monitoring

livekit.io

Software Development

AI Visibility Score

38/100

Low

Sentiment Score

96/100

AI Perception

Summary

LiveKit is successfully positioning itself as the premier choice for open-source real-time audio and video development, commanding top-tier visibility in AI-assisted search and specialized model responses. While the brand dominates the 'building' narrative, it faces a significant visibility gap in addressing the specialized infrastructure requirements and operational concerns of production-scale engineering teams.

Value Proposition

Provides a complete, scalable, and reliable infrastructure stack for building real-time voice and video AI agents, significantly reducing development time and complexity.

Overview

Mission

To provide the complete stack for Voice AI, enabling developers to build and scale intelligent agents with ease.

Products & Services

Open-source framework for AI agentsLiveKit Cloud infrastructureFull-stack observability for agent sessionsTelephony and SIP integration services

Agent Breakdown

AI Platforms

How often do different AI platforms reference LiveKit?

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Conversation Analysis

Key Topics

What conversations is LiveKit included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend LiveKit 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

Building Real Time Voice And Video AI Agents(7 queries)

“what's the best open-source framework for building real-time voice AI agents with low latency”

3/4 platforms mentioned

ChatGPT

1.LLMRTC

2.Google Gemini

3.AWS Bedrock

4.Vosk

5.Coqui XTTS

+9 more

Claude

1.Pipecat

2.TEN Framework

3.LiveKit

4.NVIDIA

5.Nemotron

+1 more

Gemini

1.TEN Framework

2.Pipecat

3.Daily

4.LiveKit

5.DeepPavlov

+5 more

AI Overviews

1.LiveKit Agents

2.WebRTC

3.LiveKit

4.LiveKit Cloud

5.Pipecat

+5 more

“what's the best open-source framework for building real-time voice AI agents with low latency”

2/3 platforms mentioned

Claude

1.Pipecat

2.Daily.co

3.TEN Framework

4.LiveKit Agents

5.LiveKit

+2 more

Gemini

1.Kaldi

2.Mozilla DeepSpeech

3.TensorFlow

4.Coqui STT

5.ESPnet

+7 more

AI Overviews

1.LiveKit

2.Pipecat

3.TEN Framework

4.Daily

5.Vocode

+3 more

“what's the best open-source framework for building real-time voice AI agents with low latency”

3/4 platforms mentioned

ChatGPT

1.Rhasspy

2.Vosk

3.Kaldi

4.PocketSphinx

5.Whisper

+7 more

Claude

1.LiveKit Agents

2.LiveKit

3.Deepgram

4.ElevenLabs

5.Silero

+3 more

Gemini

1.Pipecat

2.Daily

3.LiveKit

4.TEN Framework

5.Speaches

+6 more

AI Overviews

1.Pipecat

2.LiveKit Agents

3.Daily

4.Speechmatics

5.NVIDIA NIM

+6 more

“what's the best open-source framework for building real-time voice AI agents with low latency”

3/4 platforms mentioned

ChatGPT

1.NVIDIA NeMo

2.Vosk

3.Coqui STT

4.Rasa

5.OpenVoiceOS

+6 more

Claude

1.Pipecat

2.Daily

3.LiveKit Agents

4.LiveKit

5.TEN Framework

Gemini

1.Pipecat

2.LiveKit

3.JavaScript

4.React

5.Swift

+10 more

AI Overviews

1.Pipecat

2.Deepgram

3.Daily

4.Twilio

5.LiveKit

+4 more

“how do I integrate STT and TTS into a real-time AI agent, what tools or SDKs should I use”

2/4 platforms mentioned

ChatGPT

1.NVIDIA Riva

2.Vosk

3.Coqui

4.Azure

5.AWS

+2 more

Claude

1.LiveKit Agents

2.Pipecat

3.NVIDIA

4.Cresta

5.Daily.co

+11 more

Gemini

1.Google Cloud

2.Amazon Transcribe

3.Amazon Polly

4.Microsoft Azure

5.Deepgram

+3 more

AI Overviews

1.GetStream

2.LiveKit Agents

3.Pipecat

4.Vapi

5.Deepgram Nova-3

+8 more

“how do I integrate STT and TTS into a real-time AI agent, what tools or SDKs should I use”

2/4 platforms mentioned

ChatGPT

1.Google Cloud Speech-to-Text

2.AWS Transcribe

3.Microsoft Azure Cognitive Services Speech

4.Vosk

5.Google Cloud Text-to-Speech

+2 more

Claude

1.AssemblyAI

2.Deepgram

3.Inworld

4.ElevenLabs

5.Cartesia

10.LiveKit

+5 more

Gemini

1.Google Cloud Speech-to-Text

2.Amazon Transcribe

3.Azure Cognitive Services Speech to Text

4.Google Cloud Text-to-Speech

5.Amazon Polly

+4 more

AI Overviews

1.eesel AI

2.LiveKit Agents

3.Deepgram

4.ElevenLabs

5.Pipecat

+9 more

“how do I integrate STT and TTS into a real-time AI agent, what tools or SDKs should I use”

1/4 platforms mentioned

ChatGPT

1.Azure OpenAI

2.Google Gemini

3.LangChain

4.LlamaIndex

5.Deepgram

+11 more

Claude

1.VideoSDK

2.LiveKit

3.Deepgram

4.Speechmatics

5.ElevenLabs

+2 more

Gemini

1.Google Cloud Speech-to-Text

2.Amazon Transcribe

3.Microsoft Azure Speech to Text

4.OpenAI Whisper

5.Deepgram

+10 more

AI Overviews

1.Silero VAD

2.Deepgram

Scalable Infrastructure And SIP Integration(4 queries)

“how do I connect an AI agent to a standard phone line using SIP, what infrastructure do I need”

0/4 platforms mentioned

ChatGPT

1.Twilio

2.Plivo

3.Telnyx

4.Bandwidth

5.Twilio Elastic SIP Trunking

+13 more

Claude

1.Patton

2.Beronet

3.Grandstream

4.Twilio

5.Telnyx

+2 more

Gemini

1.A1ROUTES

2.Viirtue

3.Twilio

4.Telnyx

5.Bandwidth

+7 more

AI Overviews

1.Twilio

2.Telnyx

3.Vonage

4.ElevenLabs

5.Bland AI

+4 more

“how do I connect an AI agent to a standard phone line using SIP, what infrastructure do I need”

2/3 platforms mentioned

Claude

1.Retell AI

2.LiveKit Agents

3.ElevenLabs

4.Synthflow

5.Regal AI

+4 more

Gemini

1.Google Cloud Contact Center AI Platform

2.Amazon Connect

3.Twilio Flex

4.Azure Communication Services

5.Twilio

+5 more

AI Overviews

1.Viirtue

2.Twilio Elastic SIP Trunking

3.Telnyx

4.Bandwidth

5.ElevenLabs

10.LiveKit

+4 more

“how do I connect an AI agent to a standard phone line using SIP, what infrastructure do I need”

1/4 platforms mentioned

ChatGPT

1.Twilio

2.Lex

3.Dialogflow

4.AudioCodes Mediant

5.Patton

+15 more

Claude

1.Twilio

2.Telnyx

3.Vonage

4.Retell AI

5.Asterisk

7.LiveKit

+3 more

Gemini

1.Twilio

2.Plivo

3.Bandwidth

4.Voxbeam

5.Asterisk

+1 more

AI Overviews

1.Regal

2.Twilio

3.Telnyx

4.Bandwidth

5.3CX

+5 more

“how do I connect an AI agent to a standard phone line using SIP, what infrastructure do I need”

1/4 platforms mentioned

ChatGPT

1.Twilio

2.Bandwidth

3.Cisco

4.AudioCodes

5.Google Cloud

+13 more

Claude

1.Twilio

2.Telnyx

3.Vonage

4.Retell AI

5.LiveKit

+3 more

Gemini

1.Twilio

2.Bandwidth

3.Vonage

4.SignalWire

5.FreeSWITCH

+12 more

AI Overviews

1.Twilio

2.Telnyx

3.Bandwidth

4.Vapi

5.Retell AI

+8 more

Debugging And Monitoring Real Time Agent Sessions(2 queries)

“how can I track latency and session quality for my AI agents, are there observability tools specifically for this”

0/4 platforms mentioned

ChatGPT

1.Fiddler AI

2.OpenLIT

3.OpenTelemetry

4.Datadog

5.Grafana

+11 more

Claude

1.LangSmith

2.Datadog LLM Observability

3.Langfuse

4.Braintrust

5.Galileo

+4 more

Gemini

1.LangSmith

2.Datadog LLM Observability

3.Langfuse

4.Helicone

5.Braintrust

+6 more

AI Overviews

1.Microsoft Azure

2.StackAI

3.Braintrust

4.Datadog LLM Observability

5.Azure AI Foundry

+4 more

“how can I track latency and session quality for my AI agents, are there observability tools specifically for this”

0/4 platforms mentioned

ChatGPT

1.Arize AI

2.Fiddler AI

3.New Relic

4.Datadog

5.WhyLabs

+14 more

Claude

1.Datadog

2.LangSmith

3.Langfuse

4.Braintrust

5.OpenTelemetry

Gemini

1.LangSmith

2.LangChain

3.Maxim AI

4.Arize AI

5.Langfuse

+4 more

AI Overviews

1.Braintrust

2.LangSmith

3.LangChain

4.LangGraph

5.Langfuse

+6 more

Evaluating Real Time AI Infrastructure Providers(2 queries)

“what should I look for when choosing a voice AI infrastructure provider”

0/4 platforms mentioned

ChatGPT

1.Deepgram

2.AWS

3.Microsoft Azure

4.Twilio

5.AWS Transcribe

+10 more

Claude

1.Five9

2.Talkdesk

3.Zendesk Talk

4.Genesys

5.Zoom Contact Center

Gemini

1.Salesforce

2.HubSpot

3.Twilio

4.Retell AI

5.Vapi

+7 more

AI Overviews

1.Braintrust

2.AssemblyAI

3.Salesforce

4.HubSpot

5.Twilio

+10 more

“what should I look for when choosing a voice AI infrastructure provider”

0/4 platforms mentioned

ChatGPT

1.Deepgram

2.AWS Transcribe

3.AssemblyAI

4.ElevenLabs

5.Google Cloud Speech

+1 more

Claude

1.Twilio

2.Salesforce

3.HubSpot

4.Retell AI

5.Amazon Connect

+2 more

Gemini

1.Google Cloud Speech-to-Text

2.Text-to-Speech

3.Amazon Transcribe

4.Amazon Polly

5.Microsoft Azure Speech Services

+3 more

AI Overviews

1.Salesforce

2.HubSpot

3.Zapier

4.Microsoft Azure

5.Sierra Ventures

+1 more

Brand Perception

What AI Really Thinks

We asked each AI platform directly about LiveKit to understand how they perceive the brand. These responses back up the Sentiment Score and reveal tone, accuracy, and blind spots across platforms and personas.

4Positive

0Neutral

0Negative

across 4 responses

“What do you know about LiveKit? What do they do and what's their reputation?”

ChatGPT

Positive

“…LiveKit is an open-source real-time communications stack and cloud platform.…”

Claude

Positive

“…I'll search for current information about LiveKit for you.…”

Gemini

Positive

“…LiveKit is an open-source platform designed for building scalable, real-time audio and video applications using WebRTC.…”

AI Overviews

Positive

“…LiveKit is an open-source real-time communication platform designed to help developers build and scale voice, video, and data applications.…”

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Top-tier performance in AI-generated 'best framework' recommendations across Claude, Gemini, and AI Overviews for real-time voice and video agents

Strength

Exceptional brand recognition and clarity during direct 'vibe check' inquiries, indicating strong brand authority among target developers

Strength

High relevance and visibility for technical users seeking integration guidance for STT and TTS services

Gap

Complete absence in AI responses related to critical production topics like latency tracking, session monitoring, and performance debugging

Gap

Lack of association with enterprise-grade infrastructure queries, specifically SIP integration and scalable telephony connections

Gap

Underperformance in capturing the Resource-Constrained Startup Founder persona, where competitors like Twilio and Retell AI are gaining narrative traction

Opportunity

Capitalize on existing framework leadership to anchor content around 'monitoring and debugging' to capture high-intent engineering queries

Opportunity

Formalize and distribute technical documentation regarding SIP and phone line integration to displace incumbents in infrastructure-heavy searches

Opportunity

Develop content specifically tailored to the Resource-Constrained Startup Founder to shift the perception from a pure-play builder's toolkit to a cost-effective, scalable production solution

Technical Health

Site Health for AI Visibility

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

92/100

19 passed 3 warnings

Audited 3/9/2026

Crawlability90

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO100

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

Page links are set to nofollow

Consider removing nofollow if you want link equity to flow.

3 render-blocking resource(s) detected

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

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?

Run a free visibility scan

Brand Identity

Brand Voice & Style

How AI perceives LiveKit's communication style and personality

LiveKit communicates with a highly technical, precise, and developer-centric tone. It prioritizes clarity, performance, and reliability, positioning itself as an essential, high-utility tool for engineers who value efficiency and robust infrastructure.

Core Tone Traits

Technical & Precise

Uses industry-standard terminology and focuses on functional capabilities.

Developer-First

Speaks directly to the needs and pain points of engineers building complex systems.

Reliable & Authoritative

Emphasizes scale, uptime, and production-grade performance.

Direct & Minimalist

Avoids fluff, focusing on the 'how' and 'why' of the technology.

Competitive Landscape

Related Ecosystem

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

Deepgram20 mentions

LiveKit20 mentions

Twilio19 mentions

Pipecat16 mentions

ElevenLabs16 mentions

Telnyx11 mentions

Retell AI11 mentions

TEN Framework10 mentions

Asterisk9 mentions

Rasa9 mentions

Bandwidth8 mentions

Source Intelligence

Citations

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

llmrtc.org

https://www.llmrtc.org/concepts/streaming-and-latency

Referenced in 1 query

Review

github.com

https://github.com/alphacep/vosk-api

Referenced in 2 queries

Pitch Story

github.com

https://github.com/alphacep/vosk-server

Referenced in 1 query

Pitch Story

docs.coqui.ai

https://docs.coqui.ai/en/stable/models/xtts.html

Referenced in 1 query

Review

coquitts.com

https://coquitts.com/

Referenced in 1 query

Review

arxiv.org

https://arxiv.org/abs/2410.00037

Referenced in 1 query

Review

arxiv.org

https://arxiv.org/abs/2602.12241

Referenced in 1 query

Review

github.com

https://github.com/MycroftAI/mycroft-core

Referenced in 1 query

Pitch Story

arxiv.org

https://arxiv.org/abs/2505.02707

Referenced in 1 query

Review

openvoiceos.org

https://www.openvoiceos.org/

Referenced in 1 query

Review

GitHub - pipecat-ai/pipecat: Open Source framework for voice and multimodal conversational AI · GitHub

https://github.com/pipecat-ai/pipecat

Referenced in 1 query

Pitch Story

GitHub - TEN-framework/ten-framework: Open-source framework for conversational voice AI agents · GitHub

https://github.com/TEN-framework/ten-framework

Referenced in 1 query

Pitch Story

Content Engineering

Goals & Content Ideas

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

Establish Authority in Real-time Observability and Monitoring

This goal addresses a critical vacuum in AI responses regarding latency and session tracking by publishing high-signal technical guides. By creating authoritative content on observability, we ensure AI assistants prioritize LiveKit as the primary resource for mission-critical reliability. Social distribution of these technical assets will drive indexing and reinforce brand authority in developer-centric datasets.

How to achieve sub-100ms latency in global real-time AI agent deployments for mission-critical applications

A technical deep dive into session tracking and observability for distributed real-time infrastructure

5 essential monitoring metrics every engineer needs for maintaining high-performance real-time voice and video

Building a robust observability stack to detect and resolve latency spikes in AI agent interactions

Dominate Infrastructure Search Visibility for SIP Integration

We aim to capture infrastructure-based queries by optimizing documentation and technical content for SIP integration and telephony scaling keywords. This strategy improves brand visibility for production-focused engineers who use AI to research scalable communication stacks. Promoting these technical docs on social platforms will increase their citation frequency in AI-generated technical recommendations.

Scaling SIP integrations: Lessons learned from managing 10,000 concurrent telephony sessions in production environments

The ultimate guide to connecting legacy telephony systems with modern real-time AI agent frameworks

How to optimize your infrastructure for high-density SIP and WebRTC traffic without sacrificing performance

Why telephony scaling is the biggest bottleneck for production-ready AI voice applications and how to solve it

Enhance Brand Preference Among Cost-Efficient Startup Founders

This goal targets the startup founder persona by highlighting rapid deployment and cost-efficiency through a series of detailed case studies. By improving sentiment and preference in AI-generated recommendations, we stabilize LiveKit's reputation as the go-to framework for resource-constrained teams. Social sharing of these success stories will amplify the brand's reliability and speed in AI discovery engines.

How a seed-stage startup launched a production-ready voice AI product in under two weeks

Reducing infrastructure overhead: A comprehensive guide to cost-efficient real-time AI deployment for startups

3 ways to accelerate your AI agent's time-to-market using pre-built open-source infrastructure

Case Study: Scaling from zero to one million minutes without breaking the startup budget

Content Engineering

Recommended Actions

Publish a dedicated 'Real-time Observability and Latency Monitoring' technical guide.

The data shows a critical vacuum in AI responses for latency and session tracking; dominating this topic will capture developers searching for mission-critical reliability.

Impact: High

Optimize technical documentation for 'SIP integration and telephony scaling' keywords.

Competitors are capturing infrastructure-based searches; aligning LiveKit content with these technical requirements will improve visibility for production-focused engineers.

Impact: High

Develop a case study series focused on startup cost-efficiency and rapid deployment.

The Resource-Constrained Startup Founder persona is currently interacting with mixed results; targeted content will stabilize this persona's sentiment and improve brand preference.

Impact: Medium

Execute a structured SEO campaign targeting the 'best open-source framework' query set on ChatGPT.

LiveKit has zero visibility on ChatGPT despite high performance elsewhere, presenting an immediate opportunity to improve overall brand sentiment and awareness.

Impact: Low

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Data generated by Pendium.ai AI visibility scanning. Last scanned March 9, 2026.