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

Knock

Visibility62

Vibe92

Businesses/Software/Knock

AI Visibility & Sentiment

Knock

Knock is a customer engagement infrastructure platform that enables product-led teams to send product, marketing, and transactional messaging across multiple channels. The platform provides developer-first tooling for building notification workflows, in-app messaging, and cross-channel communication with enterprise-grade reliability.

Active Monitoring

knock.app

Software Startups

AI Visibility Score

62/100

Good

Sentiment Score

92/100

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 Knock today.

Knock has achieved near-total saturation of the Growth-Focused Product Manager persona with a 92% mention rate, positioning the brand as the definitive choice for product-led orchestration. However, a significant visibility chasm exists within the ChatGPT ecosystem where mention rates plummet to 25%, indicating a critical need to capture the conversational AI market where high-level architectural decisions are often vetted.

Value Proposition

The only customer engagement platform built for developers and AI agents, offering cross-channel messaging infrastructure with drag-and-drop workflow orchestration, 99.99% uptime, and seamless integration with modern development workflows including AI code editors.

Overview

Mission

To fix notifications for both businesses and their customers by giving product and engineering teams the tools they need to send thoughtful, non-redundant notifications.

Products & Services

Cross-channel notification workflows (email, SMS, push, chat, in-app)In-app messaging and notification feedsGuides - component-native in-app messagingReal-time data unification and segmentationDeveloper CLI and AI IDE integration

Current State

Visibility Landscape

A high-level view of how Knock 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	46	51	88	64
Core Topics Product/service category queries	30	41	61	39
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

Courier

31 mentions

SendGrid

27 mentions

Novu

26 mentions

Braze

21 mentions

Twilio

18 mentions

Segment

18 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Dominant presence in Google Gemini with a 92% mention rate, consistently surfacing for modern stack selection and smart logic queries.

Strength

High authority with Growth-Focused Product Managers, maintaining a 3.4 average position and near-universal visibility.

Strength

Top-tier performance for 'smart notification logic' queries, securing the #1 position across ChatGPT and Claude.

Recommended Actions

Execute a ChatGPT-specific technical content blitz focused on architectural integration and scalability.

With only a 25% mention rate on the market-leading AI platform, Knock is missing the majority of developer discovery journeys.

Develop a 'Technical Co-Founder' content hub focusing on ROI and the 'Build vs. Buy' trade-offs of notification infrastructure.

This persona is currently underserved (33% mention rate), and winning them is vital for early-stage B2B SaaS adoption.

Optimize technical documentation for 'Real-time Data & AI Integration' to climb from position 15 in AI Overviews.

As AI integration becomes a standard requirement, being invisible in these specific data-sync queries allows competitors to own the 'future-proof' narrative.

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

Infrastructure Planning & Scaling(2 queries)

“building vs buying a notification system for a b2b saas app, what are the pros and cons”

2/4 platforms mentioned

Adjacent

ChatGPT

1.SES

2.Mailgun

3.Postmark

4.Twilio

5.MessageBird

+20 more

Claude

1.SendGrid

2.Twilio

3.Braze

4.Courier

5.Knock

+4 more

Gemini

1.Slack

2.AWS SES

3.Twilio

4.Apple APNs

5.Google FCM

9.Knock

+7 more

AI Overviews

1.Zylo

“best notification infrastructure providers for devs using cursor or other ai ide tools”

2/4 platforms mentioned

Core

The Resource-Constrained Technical Co-Founder · CTO & Co-Founder

ChatGPT

1.Cursor

2.React

3.Node

4.Supabase

5.Novu

+12 more

Claude

1.Novu

2.Supabase

3.PostHog

4.React

5.Loops

+7 more

Gemini

1.React

2.Node.js

3.Supabase

4.Cursor

5.Braze

6.Knock

+13 more

AI Overviews

1.Cursor

2.Claude Code

3.Model Context Protocol

4.Courier

5.Slack

8.Knock

+5 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.

Buy or Build? : r/SaaS - Reddit

reddit.com

Forum1 ref

Pros and Cons: Building Vs Buying Software Solution

blusynergy.com

Web1 ref

Build vs Buy: Which Integration Strategy is Best? - Workato

workato.com

Web1 ref

Build vs Buy for SaaS infrastructure: when do you stop renting ...

reddit.com

Forum1 ref

Build vs. Buy Analysis: Which Is Right for You? - AppDirect

appdirect.com

Web1 ref

Build vs Buy: What's the Right Choice for an Enterprise SaaS ...

zylo.com

Web1 ref

4 Key Reasons to Consider a SaaS Model for Mass Notification

singlewire.com

Web1 ref

5 Factors to Consider in a Build vs. Buy Software Decision

gospotcheck.com

Web1 ref

7 ways in-app notifications give your brand a competitive ...

sendbird.com

Web1 ref

Buy vs. Build Software: How to Weigh Your Options - Formstack

formstack.com

Web1 ref

Buy or Build? Weighing the Pros and Cons of Building Your Own ...

goformz.com

Web1 ref

Should you build in-house or choose a 3rd-party SaaS solution?

appcues.com

Web1 ref

Security Challenges with SaaS Applications | CSA

cloudsecurityalliance.org

Web1 ref

What are the advantages and disadvantages of using SaaS?

tencentcloud.com

Web1 ref

Build Vs. Buy: Determining Which Approach Is Right For Your ...

forbes.com

Web1 ref

Competitive Landscape

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

Courier31 mentions

SendGrid27 mentions

Novu26 mentions

Knock26 mentions

Braze21 mentions

Twilio18 mentions

Segment18 mentions

OneSignal17 mentions

Slack16 mentions

Postmark11 mentions

Firebase Cloud Messaging10 mentions

Brand Identity

Brand Voice & Style

How AI perceives Knock's communication style and personality

Knock communicates with a developer-centric, technically confident voice that balances expertise with approachability. The brand speaks directly to engineers and product teams, using precise technical language while remaining accessible. There's an underlying sense of empathy for the pain points of building notification systems, combined with quiet confidence in their solution. The tone is professional but not corporate, favoring clarity and directness over marketing fluff.

Core Tone Traits

Developer-first and technically precise

Uses accurate technical terminology and speaks the language of engineers without being condescending

Confident yet understated

Demonstrates expertise through substance rather than hyperbole, letting product capabilities speak for themselves

Empathetic problem-solver

Acknowledges the real challenges of building notification systems and positions as a partner who understands

Clear and direct

Favors concise, actionable communication over verbose marketing speak

Backing

Investors

Craft Ventures

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 28, 2026.