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

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Orthogonal

Visibility0

Vibe50

Businesses/Software/Orthogonal

AI Visibility & Sentiment

Orthogonal

Orthogonal is a Y Combinator-backed platform that provides trusted skills and APIs as building blocks for AI agents. They offer a unified payment layer and marketplace that gives AI agents instant access to paid APIs without the friction of account management, API key juggling, or subscription billing.

Active Monitoring

orthogonal.com

Software YC25-26

AI Visibility Score

0/100

Invisible

Sentiment Score

50/100

AI Perception

Summary

Orthogonal suffers from a profound 'silent existence' paradox: while AI models correctly identify the brand in direct queries, it is entirely absent from the high-intent workflows where developers and architects actually make purchasing decisions. Despite having the foundational data to rank #1 in a 'vibe check,' the brand is currently ceding 100% of the market for autonomous agent connectivity and API infrastructure to competitors like LangChain and Composio.

Value Proposition

One integration unlocks every API in the marketplace - no API keys, no accounts, no subscriptions. Pay only for what you use, per request.

Overview

Mission

To be the payment layer for AI agents, removing friction between autonomous AI systems and the API ecosystem they need to access.

Products & Services

AI Agent Skills MarketplaceUnified API GatewayMCP (Model Context Protocol) IntegrationSDK for programmatic API accessPay-per-request billing infrastructure

Agent Breakdown

AI Platforms

How often do different AI platforms reference Orthogonal?

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Conversation Analysis

Topics

What conversations is Orthogonal included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Orthogonal 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 Autonomous Agents With Tool Access(2 queries)

“how can i give my ai agent access to tools without having to sign up for 10 different api accounts”

0/4 platforms mentioned

ChatGPT

1.Zapier

2.Make

3.Integromat

4.n8n

5.Pipedream

+27 more

Claude

1.Make.com

2.Zapier

3.n8n

4.LangChain

5.LlamaIndex

+8 more

Gemini

1.Composio

2.Superface

3.MultiOn

4.Skyvern

5.Nylas

+5 more

AI Overviews

1.Slack

2.GitHub

3.Salesforce

4.Composio

5.Gmail

+6 more

“build a multi-tool ai agent that can search the web and execute code, what platform should i use for the api layer”

0/4 platforms mentioned

ChatGPT

1.FastAPI

2.Python

3.Fastify

4.Express

5.TypeScript

+29 more

Claude

1.SerpApi

2.E2B Sandbox

3.Docker

4.Vercel

5.Next.js

+1 more

Gemini

1.Vercel

2.Supabase

3.E2B

4.Lambda

5.Python

+14 more

AI Overviews

1.Agno

2.Phidata

3.LangGraph

4.LangChain

5.LangSmith

+13 more

Simplifying API Infrastructure & Billing(1 query)

“help me set up a unified api gateway for my ai startup so i don't have to manage a million api keys”

0/4 platforms mentioned

ChatGPT

1.Cohere

2.AWS

3.Cognito

4.Lambda

5.AWS Secrets Manager

+32 more

Claude

1.Kong

2.Tyk

3.Traefik

4.Cloudflare Workers

5.AWS API Gateway

+17 more

Gemini

1.Cohere

2.LiteLLM

3.Bedrock

4.Portkey

5.Helicone

+8 more

AI Overviews

1.Portkey

2.GPT-4o

3.Claude 3.5 Sonnet

4.TrueFoundry

Evaluating AI Agent Connectivity Platforms(1 query)

“most trusted platforms for giving ai agents tool use capabilities”

0/4 platforms mentioned

ChatGPT

1.Microsoft Azure OpenAI

2.Semantic Kernel

3.Google Cloud Vertex AI

4.Hugging Face Inference

5.LangChain

+15 more

Claude

1.GPT-4

2.GPT-4o

3.Claude 3.5

4.Google Vertex AI

5.GCP

+9 more

Gemini

1.OpenAI API

2.GPT-4o

3.GPT-3.5

4.Anthropic Claude

5.Claude 3.5 Sonnet

+20 more

AI Overviews

1.LangChain

2.LangGraph

3.AutoGen

4.CrewAI

5.Dify

+9 more

Implementing Protocol Based Agent Integrations(1 query)

“how to implement mcp integration in my ai agent app”

0/4 platforms mentioned

ChatGPT

1.MLflow

2.ModelDB

3.KServe

4.Seldon Core

5.BentoML

+30 more

Claude

1.Claude SDK

2.LangChain

3.LlamaIndex

4.Anthropic's MCP Server

5.SQLite

Gemini

1.FastAPI

2.LangChain

3.Docker

4.Postgres

5.MySQL

+5 more

AI Overviews

1.Model Context Protocol

2.Google Cloud

3.DZone

4.deepsense.ai

5.GPT-4

+3 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

High brand entity recognition on ChatGPT and Claude, where direct queries about Orthogonal return #1 rankings, indicating the models have ingested the core brand data.

Strength

Positive sentiment across the few instances where the brand is directly acknowledged, providing a clean slate for expansion.

Gap

Total absence from the 'Building Autonomous Agents with Tool Access' query set, which is the primary intent-driver for their target audience.

Gap

Zero visibility with 'The Enterprise AI Architect' persona, a critical demographic that is currently being captured by legacy infrastructure players like HashiCorp and AWS.

Gap

Failure to surface for 'MCP integration' queries, a trending technical protocol that is currently wide open for authority-building.

Opportunity

Disrupt the 'tool access' category by mapping technical documentation specifically to the 'how to' queries where LangChain currently dominates but provides complex solutions.

Opportunity

Capture the 'Unified API Gateway' intent by positioning against AWS and HashiCorp as a more agile, AI-native alternative.

Opportunity

Leverage the existing high brand-check ranking to bridge the gap between 'who we are' and 'what we solve' through intent-based technical blogging.

Technical Health

Site Health for AI Visibility

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

92/100

17 passed 3 warnings

Audited 2/27/2026

Crawlability96

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO93

Titles, descriptions, headings

Content Quality87

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG82

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 is too short (37 characters)

Expand the description to 150-160 characters with a clear value proposition.

Missing Open Graph tags for social sharing

Add og:title, og:description, and og:image meta tags.

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

Brand Identity

Brand Voice & Style

How AI perceives Orthogonal's communication style and personality

Orthogonal communicates with a developer-first, technically precise voice that balances expertise with accessibility. The tone is confident and direct, cutting through complexity to deliver clear value propositions. They use code examples liberally, speak the language of their technical audience, and maintain a startup energy that feels innovative without being hype-driven. The brand is helpful and educational, positioning itself as a trusted partner rather than just a vendor.

Core Tone Traits

Developer-First & Technical

Speaks directly to engineers with code examples, technical terminology, and practical implementation details

Direct & No-Nonsense

Gets straight to the point, clearly articulating problems and solutions without marketing fluff

Confident & Authoritative

Positions as experts in AI agent infrastructure with conviction about their approach

Helpful & Educational

Focuses on teaching and enabling developers through partner spotlights, documentation, and clear explanations

Competitive Landscape

Related Ecosystem

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

LangChain26 mentions

Slack16 mentions

Composio13 mentions

HashiCorp Vault12 mentions

AWS Secrets Manager11 mentions

Supabase11 mentions

GitHub10 mentions

Salesforce10 mentions

Datadog9 mentions

Vercel9 mentions

Orthogonal0 mentions

Source Intelligence

Citations

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

Merge.dev

https://merge.dev/

Referenced in 1 query

Review

Best AI agent integration platforms (2026): comparison for developers

https://composio.dev/blog/ai-agent-integration-platforms

Referenced in 2 queries

Review

The Top 5 Unified API Platforms for AI Agents (2026 Review)

https://composio.dev/blog/best-unified-api-platforms

Referenced in 1 query

Review

The 10 Best Unified API Platforms in 2026 - Ampersand

https://www.withampersand.com/blog/the-10-best-unified-api-platforms-in-2026

Referenced in 1 query

Review

APIs for AI agents: what you should know - Merge

https://www.merge.dev/blog/api-for-ai-agents

Referenced in 1 query

Review

The best unified API platforms in 2026 - Merge.dev

https://www.merge.dev/blog/best-unified-api

Referenced in 1 query

Review

Why Can't I Just Use an API? Because Your AI Agent Needs ...

https://auth0.com/blog/mcp-vs-api/

Referenced in 1 query

Review

Best AI agent integration platforms to consider in 2026 - Nango

https://nango.dev/blog/best-ai-agent-integration-platforms

Referenced in 1 query

Review

How do you integrate with other APIs quickly? - Reddit

https://www.reddit.com/r/AI_Agents/comments/1ms6qg2/how_do_you_integrate_with_other_apis_quickly/

Referenced in 1 query

Join Discussion

Best unified API platforms to consider in 2026 | Nango Blog

https://nango.dev/blog/best-unified-api

Referenced in 1 query

Review

Prototype AI Agents with 1000+ Tools in 2 Minutes - Ali Ibrahim

https://techwithibrahim.medium.com/prototype-ai-agents-with-1-000-tools-in-2-minutes-no-code-full-api-access-c02078b09ba2

Referenced in 1 query

Review

The 3 best AI agent authentication tools in 2026 - Merge

https://www.merge.dev/blog/best-ai-agent-auth-tool

Referenced in 1 query

Review

Content Engineering

Recommended Actions

Execute an MCP (Model Context Protocol) Content Blitz

Queries regarding 'how to implement MCP' are currently returning zero mentions for Orthogonal despite it being a core competency; capturing this emerging search volume is the fastest path to category relevance.

Impact: High

Re-engineer technical documentation for 'Tool Use' and 'Agent Connectivity' intents

Competitors like Composio and LangChain are winning these queries because their documentation is structured as answers to 'how can I give my agent access to tools'—a query where Orthogonal currently has 0% visibility.

Impact: High

Develop persona-specific landing pages for 'The Solo Agent Builder'

This persona is actively searching for simplified API infrastructure, and Orthogonal's lack of presence here is a direct handover of market share to Supabase and GitHub.

Impact: Medium

Target the 'Enterprise AI Architect' via comparison-based content against AWS Secrets Manager

Data shows architects are looking for trusted platforms for tool use; positioning Orthogonal as a specialized alternative to generalist cloud providers will help capture this high-value traffic.

Impact: Medium

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