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

Crow

Visibility23

Vibe38

Businesses/Software/Crow

AI Visibility & Sentiment

Crow

Crow is a Y Combinator-backed AI agent platform that enables businesses to add conversational chat interfaces to their applications. The platform connects to existing products via OpenAPI or MCP, allowing users to interact through natural language instead of traditional menu navigation.

Active Monitoring

usecrow.ai

Software YC25-26

AI Visibility Score

23/100

Low

Sentiment Score

38/100

Score by Reach

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Crow today.

Crow is currently a ghost in the AI development conversation, yielding the entire 'chat-first experience' market to competitors like LangChain and Vercel AI SDK who dominate every major platform. The most critical discovery is that Crow's only visibility—a narrow presence in Claude—is currently plagued by negative sentiment, suggesting that AI models are actively recommending against the brand or citing it as a legacy solution.

Value Proposition

Go live in days with a reliable AI chat agent that connects to your existing APIs, adapts as your product changes, and provides full visibility into every conversation—without months of internal development

Overview

Mission

Help companies transform from traditional dashboard-first products to chat-first experiences, making products AI-native from the ground up

Products & Services

Embeddable AI chat widgetOpenAPI and MCP integrationKnowledge base managementIdentity verification and user authenticationEnterprise deployment with SSO and compliance

Current State

Visibility Landscape

A high-level view of how Crow performs across AI platforms, broken down by strategic reach level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	0	30	0	0
Core Topics Product/service category queries	0	0	0	0
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

LangChain

30 mentions

LangGraph

13 mentions

Vercel AI SDK

11 mentions

Intercom

7 mentions

OpenAI Assistants API

7 mentions

LlamaIndex

7 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Crow's AI visibility.

Key Findings

Strength

Secured a third-place ranking in Claude for queries regarding 'the easiest way to add an ai agent,' showing a small technical foothold in developer ease-of-use topics.

Strength

Maintains recognition from the Scalability-Focused Enterprise Architect persona, suggesting the brand's technical architecture is occasionally acknowledged in Claude's training data.

Strength

Direct brand queries in Claude successfully return a basic brand vibe check, indicating some level of core identity has been indexed.

Recommended Actions

Execute a comprehensive SEO-to-AI documentation overhaul to reverse negative sentiment in Claude.

Negative sentiment on the only platform where the brand is visible is a critical reputation risk that prevents the AI from recommending Crow to developers.

Develop and index high-authority 'Comparison Guides' targeting LangChain and Vercel AI SDK.

Competitors are capturing 30+ mentions while Crow is at 0; appearing in comparison context is the fastest way to steal mindshare in LLM responses.

Create persona-specific landing pages tailored to 'Modernizing Product Navigation with AI' for the Visionary Product Lead.

Crow missed 100% of queries in this category, which is the primary use case for their software industry niche.

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

Modernizing Product Navigation With AI(3 queries)

“how can i turn my web app into a chat-first experience instead of just menus and dashboards”

0/3 platforms mentioned

Adjacent

Claude

1.Voiceflow

2.Intercom

3.Drift

4.OpenAI Assistants API

5.LangChain

+1 more

Gemini

1.Raycast

2.Slack

3.Zustand

4.Redux

5.Vercel AI SDK

+11 more

AI Overviews

1.Socket.IO

2.Google Dialogflow

3.Rasa

4.Streamlit

5.Chainlit

+5 more

“what's the easiest way to add an ai agent that actually talks to my existing apis and performs tasks”

0/4 platforms mentioned

Core

The Visionary Product Lead · Director of Product

ChatGPT

1.Vertex

2.Zapier GPT

3.Make

4.Workato

5.LangChain

+23 more

Claude

1.Intercom Fin

2.Intercom

3.OpenAI Assistants API

4.Langchain Cloud

Gemini

1.Relevance AI

2.SendGrid

3.Retool AI

4.Voiceflow

5.Langflow

+2 more

AI Overviews

1.Composio

2.GPT-4

3.Nango

4.Arcade

5.Zapier Central

+8 more

“help me find a tool to embed an ai chat widget into my react app that supports openapi specs”

0/4 platforms mentioned

Core

ChatGPT

1.React

2.LangChain

3.Chatbot UI

4.Stream Chat

5.Botpress Cloud

+13 more

Claude

1.Langchain

2.LangServe

3.Vercel

4.Shadcn UI

5.Intercom Fin

+2 more

Gemini

1.CopilotKit

2.Sendbird AI Chatbot

3.LangChain

4.Assistant-UI

5.LangGraph

+2 more

AI Overviews

1.Vercel AI SDK

2.Voiceflow

3.@helixml/chat-widget

4.Botpress

5.Zapier Central

+1 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

GetStream.io

getstream.io

Web1 ref

Build a basic LLM chat app - Streamlit Docs

docs.streamlit.io

Web1 ref

The 3 Best Python Frameworks To Build UIs for AI Apps

getstream.io

Web1 ref

UI guidelines - OpenAI for developers

developers.openai.com

Web1 ref

What approach would you suggest when trying to build an ...

reddit.com

Forum1 ref

In-App Chat: Best Features, Use Cases & Implementation

getstream.io

Web1 ref

1. Zigpoll – The Future of AI Chat Interaction

zigpoll.com

Web1 ref

Real-time chat application in JavaScript

geeksforgeeks.org

Web1 ref

15 Best Chatbot Frameworks in 2025 - Pixcell.io

pixcell.io

Web1 ref

What are the mainstream open source frameworks for chatbots?

tencentcloud.com

Web1 ref

How to Design a Modern Chat App UI? | by Noor fatima - Medium

medium.com

Blog1 ref

9 Developer-Friendly AI Tools to Build Powerful Chatbots

strapi.io

Web1 ref

Benefits of Using Chatbots in Web Design - Site Invention

siteinvention.com

Web1 ref

What Is Chatbot Design? - IBM

ibm.com

Web1 ref

How to build a fully functional messaging app with no-code

youtube.com

Video1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Crow.

LangChain30 mentions

LangGraph13 mentions

Vercel AI SDK11 mentions

Intercom7 mentions

OpenAI Assistants API7 mentions

LlamaIndex7 mentions

Vercel7 mentions

Postgres7 mentions

Rasa6 mentions

Botpress6 mentions

Crow1 mention

Brand Identity

Brand Voice & Style

How AI perceives Crow's communication style and personality

Crow communicates with a developer-friendly, technically confident tone that balances expertise with approachability. The voice is direct and efficient, respecting developers' time while conveying genuine enthusiasm for solving complex integration challenges. There's a subtle playfulness evident in the product mascot and chat prompts, but the overall communication remains professional and focused on delivering clear value. The brand speaks as a knowledgeable peer rather than a salesy vendor.

Core Tone Traits

Developer-First & Technical

Speaks the language of engineers with precise terminology and practical examples

Direct & Efficient

Gets to the point quickly, respecting the audience's time and intelligence

Confident yet Approachable

Demonstrates expertise without being condescending or overly formal

Subtly Playful

Incorporates light personality through mascot and friendly prompts while maintaining professionalism

Backing

Investors

Y Combinator

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.