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

Modelence

Visibility0

Vibe100

Businesses/Software Development Applications/Modelence

AI Visibility & Sentiment

Modelence

Modelence is an AI-native development platform and open-source framework that helps developers and startups build, deploy, and scale production-ready applications 10x faster. It allows users to generate full-stack TypeScript applications from natural language prompts while providing full control over the underlying code.

Active Monitoring

modelence.com

Software Development Applications

AI Visibility Score

0/100

Invisible

Sentiment Score

100/100

Score by Priority

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

aspirational

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Modelence today.

Modelence is currently invisible within the AI-driven development ecosystem, failing to surface in critical decision-making queries where technical founders and product managers actively scout for solutions. While the brand holds a clean identity footprint in direct brand searches, it is completely absent from the competitive landscape where industry leaders like Supabase and Lovable are capturing high-intent traffic.

Working in your favor

Brand recognition is established, with Modelence successfully appearing as the top result across all major LLMs when users perform direct brand searches.

Gaps to close

Total absence in high-intent core queries regarding full-stack application development, AI coding platforms, and managed DevOps solutions.

Failure to capture the 'Technical Founder' and 'Efficiency-Driven Product Manager' personas who are actively evaluating tool stacks.

Lack of presence in the conversation around automated infrastructure and low-overhead backend services where competitors like Supabase and Vercel dominate.

Opportunities

Target the 'Fast-Track Full-Stack Application Development' category by embedding Modelence into the discourse surrounding TypeScript-based automated app building.

Position Modelence as the bridge between low-overhead backend automation and high-velocity production deployments.

Develop content specifically designed for the AI evaluation phase, directly addressing how Modelence benchmarks against incumbents like Cursor and Bolt.new.

Highest-Impact Actions

Execute an AI-optimized content strategy focused on 'production-ready' and 'automated infrastructure' keywords.

The data shows intense search volume for tools that simplify DevOps and backend complexity, a space where you are currently ceding all traffic to competitors.

Publish technical 'Best of' comparison documentation and developer guides.

Competitors like Supabase and Next.js leverage utility-focused documentation to maintain high visibility in developer-centric LLM queries.

Integrate Modelence into AI developer community benchmarks and technical forums.

Improving your presence in the 'Evaluation and Selection' phase requires establishing authority through peer-reviewed or community-led technical validation.

Value Proposition

Modelence bridges the gap between AI-generated prototypes and production-ready software by providing a clean, full-stack TypeScript framework, integrated enterprise-scale databases, and one-click cloud deployment.

Overview

Mission

Help users ship production AI applications significantly faster.

Products & Services

Modelence App BuilderModelence FrameworkModelence Managed CloudAI Observability & TelemetryModelence CloudAI-assisted backend generation

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
Core5q Product/service category queries	0	0	0	0
Growth Areas4q Adjacent, aspirational & visionary	0	0	0	0

Competitive Landscape

Supabase31 mentions

Lovable28 mentions

React24 mentions

Next.js23 mentions

Cursor22 mentions

Bolt.new21 mentions

Vercel19 mentions

Datadog19 mentions

GitHub17 mentions

Prisma13 mentions

Modelence0 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Brand recognition is established, with Modelence successfully appearing as the top result across all major LLMs when users perform direct brand searches.

Gap

Total absence in high-intent core queries regarding full-stack application development, AI coding platforms, and managed DevOps solutions.

Gap

Failure to capture the 'Technical Founder' and 'Efficiency-Driven Product Manager' personas who are actively evaluating tool stacks.

Recommended Actions

Execute an AI-optimized content strategy focused on 'production-ready' and 'automated infrastructure' keywords.

The data shows intense search volume for tools that simplify DevOps and backend complexity, a space where you are currently ceding all traffic to competitors.

Publish technical 'Best of' comparison documentation and developer guides.

Competitors like Supabase and Next.js leverage utility-focused documentation to maintain high visibility in developer-centric LLM queries.

Integrate Modelence into AI developer community benchmarks and technical forums.

Improving your presence in the 'Evaluation and Selection' phase requires establishing authority through peer-reviewed or community-led technical validation.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

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

Fast Track Full Stack Application Development(3 queries)

“what are the best ai tools to build a full-stack typescript app fast without getting stuck in devops”

0/4 platforms mentioned

Core

ChatGPT

1.GitHub Copilot

2.Cursor

3.Codeium

4.Next.js

5.Clerk

+22 more

Claude

1.Lovable

2.V0

3.Next.js

4.Vercel

5.Tailwind CSS

+11 more

Gemini

1.GitHub (GitHub Copilot)

2.Cursor

3.CodeGPT

4.Workik

5.GitLab

+6 more

AI Overviews

1.Vercel (Next.js)

2.Supabase

3.Bolt.new

4.Vite

5.Netlify

+8 more

“can you recommend some platforms that let me build web apps from prompts but still give me access to the actual code”

0/4 platforms mentioned

Core

The Technical Founder Architect · CTO / Lead Developer

ChatGPT

1.GitHub Copilot

2.Replit (Replit Agent)

3.Codeium

4.Builder.io

5.Cursor

Claude

1.Lovable

2.React

3.Tailwind

4.Vite

5.GitHub

+11 more

Gemini

1.Next.js

2.Vercel (Vercel AI SDK)

3.GitHub Copilot

4.VS Code

5.JetBrains

+2 more

AI Overviews

1.Lovable

2.React

3.Supabase

4.FlutterFlow

5.Flutter

“what tools can help me spin up a production-ready web app in a weekend that I can actually host myself later”

0/4 platforms mentioned

Adjacent

The Technical Founder Architect · CTO / Lead Developer

ChatGPT

1.Next.js

2.React

3.Node.js

4.Nginx

5.Remix

+40 more

Claude

1.Wasp

2.Railway

3.Fly.io

4.Vercel

5.Node.js

+12 more

Gemini

1.React

2.Nuxt.js

3.Vue.js

4.NestJS

5.Node.js

+13 more

AI Overviews

1.Next.js

2.Supabase

3.Laravel

4.Inertia.js

5.PocketBase

+9 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.

8 AI Platforms for Building Apps in 2026 (Compared) | Lovable

lovable.dev

Modelence

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Modelence

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.