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, Inc.

Visibility0

Vibe100

Businesses/Software Development & Cloud Computing/Modelence, Inc.

AI Visibility & Sentiment

Modelence, Inc.

Modelence is an all-in-one, 'batteries-included' TypeScript cloud platform that helps developers transition AI prototypes into production-ready environments. By abstracting infrastructure boilerplate like authentication, database management, and hosting, the platform allows developers and AI agents to focus entirely on core product logic.

Active Monitoring

modelence.com

Software Development & Cloud Computing

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

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Modelence, Inc. today.

Modelence, Inc. is currently operating in a complete state of AI anonymity, failing to capture share-of-voice in critical decision-making moments for developers transitioning AI prototypes to production. While the brand is recognized in direct name-based inquiries, it is entirely absent from the technical discourse where competitors like Supabase and Firebase dominate the conversation.

Working in your favor

Brand recognition is established at the entity level, successfully returning correct company information when directly queried in major LLMs.

Gaps to close

Zero representation in 'Core' intent queries such as infrastructure alternatives to Supabase or Firebase.

Failure to intercept the 'Scaling Senior Software Engineer' persona during the critical research phase of moving AI prototypes into production.

Total absence from AI-native development workflow optimization conversations, ceding the technical narrative to established cloud incumbents.

Opportunities

Capitalize on the developer need for 'batteries-included' TypeScript backends by creating authoritative technical content.

Position Modelence as the bridge between local AI prototyping and production-grade scaling to address high-intent gaps.

Optimize technical documentation and whitepapers to serve as primary sources for LLM training data in infrastructure comparison queries.

Highest-Impact Actions

Develop a 'Production AI Infrastructure' content pillar specifically targeting TypeScript developers.

High-intent queries from developers looking to scale AI apps are currently captured by competitors; this content will provide the necessary training data for LLMs to categorize Modelence as a solution.

Publish comparative technical guides focused on 'Supabase/Firebase Alternatives'.

Direct comparison is the most effective way to intercept traffic from developers actively searching for new backend tooling, where Modelence currently has zero visibility.

Integrate AI-workflow optimization benchmarks into public-facing engineering blogs.

By establishing performance benchmarks, Modelence can align itself with the 'Efficiency-Obsessed Technical Founder' persona who prioritizes speed and scalability.

Value Proposition

Modelence is the first agent-native cloud platform that offers a singular, opinionated surface area designed specifically for AI agents to write to, effectively eliminating 'glue code' and accelerating the path to production-grade software.

Overview

Mission

Modelence’s mission is to 'smooth out the vibe-coding stack' by eliminating the boilerplate that prevents AI-generated code from becoming robust, production-ready software.

Products & Services

Modelence App BuilderManaged Backend CloudBuilt-in Auth & User ManagementAI Observability & IntegrationType-Safe Database (MongoDB Atlas)Modelence CloudModelence Framework

Current State

Visibility Landscape

A high-level view of how Modelence, Inc. 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
Core4q Product/service category queries	0	0	0	0
Growth Areas5q Adjacent, aspirational & visionary	0	0	0	0

Competitive Landscape

Supabase39 mentions

Firebase21 mentions

Appwrite19 mentions

Vercel16 mentions

Northflank13 mentions

Render13 mentions

Auth013 mentions

Docker13 mentions

Railway13 mentions

Next.js12 mentions

Modelence, Inc.0 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Brand recognition is established at the entity level, successfully returning correct company information when directly queried in major LLMs.

Gap

Zero representation in 'Core' intent queries such as infrastructure alternatives to Supabase or Firebase.

Gap

Failure to intercept the 'Scaling Senior Software Engineer' persona during the critical research phase of moving AI prototypes into production.

Recommended Actions

Develop a 'Production AI Infrastructure' content pillar specifically targeting TypeScript developers.

Publish comparative technical guides focused on 'Supabase/Firebase Alternatives'.

Direct comparison is the most effective way to intercept traffic from developers actively searching for new backend tooling, where Modelence currently has zero visibility.

Integrate AI-workflow optimization benchmarks into public-facing engineering blogs.

By establishing performance benchmarks, Modelence can align itself with the 'Efficiency-Obsessed Technical Founder' persona who prioritizes speed and scalability.

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

Transitioning AI Prototypes To Production(3 queries)

“what backend platform should i use to turn my ai prototype into a production app without dealing with complex devops”

0/4 platforms mentioned

Core

ChatGPT

1.Firebase (Cloud Functions, Cloud Firestore, Cloud Storage)

2.Vercel

3.PostgreSQL

4.Neon

5.Supabase

+2 more

Claude

1.Lovable

2.Vercel (V0)

3.Next.js

4.Emergent

5.Modal

+1 more

Gemini

1.Xano

2.Heroku

3.DigitalOcean

4.Supabase

5.Appwrite

+5 more

AI Overviews

1.Xano

2.Supabase

3.Render

4.Northflank

5.Convex

“looking for a batteries-included typescript backend that handles auth and database for my react app”

0/4 platforms mentioned

Core

The Efficiency-Obsessed Technical Founder · Founder/Lead Engineer

ChatGPT

1.Supabase (Supabase Auth)

2.Postgres

3.Firebase (Firestore, Firebase Auth)

4.Clerk

5.Neon

+8 more

Claude

1.Better Auth

2.Express

3.Fastify

4.Next.js

5.Nuxt

+6 more

Gemini

1.Supabase

2.Firebase (Firestore)

3.AWS Amplify (DataStore)

4.Appwrite

AI Overviews

1.AdonisJS (Lucid ORM)

2.Laravel

3.Ruby on Rails

4.Supabase (Supabase Auth)

5.Firebase

+8 more

“how do i scale an ai app built with typescript beyond a local prototype”

0/4 platforms mentioned

Aspirational

The Efficiency-Obsessed Technical Founder · Founder/Lead Engineer

ChatGPT

1.Pinecone

2.Weaviate

3.Milvus

4.pgvector

5.Postgres

+9 more

Claude

1.Mastra

2.LangChain

3.Node.js

4.Cloudflare Workers

5.Vercel (Next.js)

+5 more

Gemini

1.Kubernetes

2.Docker

3.KServe

4.Seldon Core

5.Apache Spark

+4 more

AI Overviews

1.Vercel AI SDK

2.Kafka

3.NATS

4.Zod

5.Mastra

+6 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, Inc.

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, Inc.

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.