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

Pave

Visibility74

Vibe100

Businesses/Human Resources Technology/Pave

AI Visibility & Sentiment

Pave

Pave is an AI-powered compensation management platform that helps companies benchmark pay, price jobs, run merit cycles, and communicate total rewards. Built on real-time data from over 8,700 companies, Pave enables compensation professionals to make confident, data-driven pay decisions.

Active Monitoring

pave.com

Human Resources Technology Startups

AI Visibility Score

74/100

Good

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Pave today.

Pave has successfully cornered the AI narrative for high-growth startup compensation workflows, achieving a perfect 100% mention rate and an elite 2.1 average position with People Ops leads. While the brand dominates specific technical pricing queries on Claude and Gemini, it faces a significant visibility hurdle in direct competitive comparisons where it often trails legacy incumbents in ChatGPT and AI Overviews rankings.

Working in your favor

Absolute dominance in high-growth startup personas with a 100% mention rate and top-tier positioning.

Exceptional performance on Claude (1.9 avg pos) across all compensation benchmarking and merit cycle queries.

Strong authority on Gemini and AI Overviews for technical pricing queries, specifically regarding data scientist roles in Austin and London.

Gaps to close

Significant ranking lag for the 'Enterprise Total Rewards Strategist' persona, with an average position of 6.1 indicating a loss of authority at the enterprise level.

Weak competitive positioning for 'Evaluating Compensation Software' queries, dropping as low as #21 on ChatGPT and #17 on AI Overviews.

Underperforming in general market pricing queries on Gemini compared to its performance on other platforms.

Opportunities

Leverage current 100% mention rate on Gemini to improve ranking depth through structured data around enterprise-grade features.

Displace legacy competitors like Radford and Mercer in AI Overviews by creating content that bridges the gap between tech-centric pricing and traditional total rewards.

Capitalize on the high performance in 'Merit Cycle Automation' to own the broader 'HR Automation' category within ChatGPT.

Highest-Impact Actions

Optimize for competitive comparison queries on ChatGPT and AI Overviews.

Pave is mentioned but ranked poorly (#17-#21) in 'Evaluating Compensation Software' queries, allowing competitors like Carta and Levels.fyi to capture the final stage of the buyer journey.

Develop an 'Enterprise Authority' content pillar targeted at Total Rewards Strategists.

While mention rates are high (92%) for this persona, the average position of 6.1 suggests the AI views Pave as a secondary option for large-scale enterprise needs.

Deepen technical documentation for non-US markets to maintain lead in global pricing queries.

Pave already shows strength in London/Austin pricing; expanding this local specificity will solidify its position as the go-to global benchmarking tool.

Value Proposition

Real-time compensation intelligence powered by AI and machine learning, enabling companies to benchmark pay, price jobs, and run merit cycles with unprecedented confidence and efficiency

Overview

Mission

Creating a world where compensation professionals can take control of their company's investment in people, make pay decisions with confidence, and earn new levels of credibility with leaders and employees.

Products & Services

Market Data Pro - Real-time compensation benchmarkingMarket Pricing - Job pricing and pay range buildingCompensation Planning - Merit cycle management workflowsTotal Rewards Portal - Employee compensation communicationVisual Offer Letter - Dynamic candidate offer experiences

Current State

Visibility Landscape

A high-level view of how Pave 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
“What do you know about Pave? What do they do and what's their reputation?”	#1	#1	#1	#1
Core5q Product/service category queries	67	82	90	86
“how do I find accurate market pay for tech roles right now, are there any platforms that use real-time data instead of old surveys?”	#1	#1	#3	#2
“i'm about to start our merit cycle and i'm tired of using excel, what compensation planning software should i look at?”	#2	#1	#1	#2
“what's the best way to explain stock options to a new hire in their offer letter, any software that makes this visual?”	No	No	#2	#2
“who are the main competitors in the compensation benchmarking space besides Mercer and Radford?”	#21	#3	#9	#14
“help me price a new data scientist role in Austin and London, what tools have the best market data for this?”	#1	#1	#1	#4
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

“What do you know about Pave? What do they do and what's their reputation?”

“how do I find accurate market pay for tech roles right now, are there any platforms that use real-time data instead of old surveys?”

“i'm about to start our merit cycle and i'm tired of using excel, what compensation planning software should i look at?”

“what's the best way to explain stock options to a new hire in their offer letter, any software that makes this visual?”

“who are the main competitors in the compensation benchmarking space besides Mercer and Radford?”

#21

#14

“help me price a new data scientist role in Austin and London, what tools have the best market data for this?”

Competitive Landscape

Pave

38 mentions

Levels.fyi

29 mentions

Carta

29 mentions

PayScale

25 mentions

Radford

21 mentions

Mercer

20 mentions

Salary.com

17 mentions

Workday

14 mentions

Carta Total Comp

14 mentions

Aon

12 mentions

CompAnalyst

12 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Absolute dominance in high-growth startup personas with a 100% mention rate and top-tier positioning.

Strength

Exceptional performance on Claude (1.9 avg pos) across all compensation benchmarking and merit cycle queries.

Strength

Strong authority on Gemini and AI Overviews for technical pricing queries, specifically regarding data scientist roles in Austin and London.

Recommended Actions

Optimize for competitive comparison queries on ChatGPT and AI Overviews.

Pave is mentioned but ranked poorly (#17-#21) in 'Evaluating Compensation Software' queries, allowing competitors like Carta and Levels.fyi to capture the final stage of the buyer journey.

Develop an 'Enterprise Authority' content pillar targeted at Total Rewards Strategists.

While mention rates are high (92%) for this persona, the average position of 6.1 suggests the AI views Pave as a secondary option for large-scale enterprise needs.

Deepen technical documentation for non-US markets to maintain lead in global pricing queries.

Pave already shows strength in London/Austin pricing; expanding this local specificity will solidify its position as the go-to global benchmarking tool.

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

Compensation Benchmarking & Market Pricing(2 queries)

“how do I find accurate market pay for tech roles right now, are there any platforms that use real-time data instead of old surveys?”

2/4 platforms mentioned

Core

ChatGPT

1.Levels.fyi

2.Hired

3.Glassdoor

4.Blind

5.TeamBlind

+13 more

Claude

1.Levels.fyi

2.Blind

3.Redfin

4.Figma

5.Stripe

+3 more

Gemini

1.Glassdoor

2.Levels.fyi

3.Comprehensive.io

4.Pave

5.Workday

+7 more

AI Overviews

1.Levels.fyi

2.Pave

3.Carta Total Comp

4.Comprehensive.io

5.Ravio

+5 more

“help me price a new data scientist role in Austin and London, what tools have the best market data for this?”

3/4 platforms mentioned

Core

The Enterprise Total Rewards Strategist · VP of Total Rewards

ChatGPT

1.Mercer

2.Aon Radford

3.Pave

4.Comptryx

5.PayScale

+10 more

Claude

1.Pave

2.Radford

3.Mercer

4.Levels.fyi

Gemini

1.Pave

2.Aon Radford

3.Radford Global Technology Survey

4.Workday

5.Figures

+6 more

AI Overviews

1.ZipRecruiter

2.Juicebox.ai

3.Levels.fyi

4.Robert Half Salary Guide

5.Glassdoor

+3 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.

11 Best Compensation Planning Software Solutions 2025

aeqium.com

Pave

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Human Resources Technology

Start gettingrecommended by AI.

Frequently asked questions

Pave

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Human Resources Technology

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.