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.

Roadmap Pricing

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Chainbase

Visibility7

Vibe94

Businesses/Web3 Infrastructure / Blockchain Technology/Chainbase

AI Visibility & Sentiment

Chainbase

Chainbase is a decentralized omnichain data network that unifies fragmented blockchain information into a structured, AI-ready layer. It provides developers and AI models with high-performance infrastructure to index, access, and analyze real-time data across over 200 blockchains.

Active Monitoring

chainbase.com

Web3 Infrastructure / Blockchain Technology

AI Visibility Score

7/100

Invisible

Sentiment Score

94/100

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 Chainbase today.

Chainbase currently exists as a latent brand in AI search, achieving near-total recognition in direct 'vibe check' brand queries while remaining largely absent in the decision-making workflows of technical developers. Despite having a clear solution for data syncing and indexing, the brand is failing to capture the critical 'core' intent queries that drive vendor selection in the Web3 infrastructure space.

Working in your favor

High brand awareness in direct 'vibe check' inquiries across ChatGPT, Claude, and Gemini

Successful association with advanced data syncing use cases on Claude, positioning the brand as a specialized technical tool

Early traction with the Data-Driven Product Strategist persona in enterprise-level infrastructure discussions

Gaps to close

Total absence in high-intent 'Blockchain Data Infrastructure Selection' queries where developers compare indexing alternatives

Negligible presence in core 'Trust and Vendor Comparison' conversations, allowing competitors like The Graph and Alchemy to dominate the narrative

Under-utilization of AI Overviews, which currently ignore Chainbase even in high-value technical query segments

Opportunities

Capitalize on the existing technical affinity by embedding brand-specific value propositions into content optimized for 'The Graph alternatives' queries

Expand documentation and thought leadership to address cross-chain data pipeline pain points, an area where competitors are currently under-performing

Increase visibility within the Technical Lead persona by generating performance-based benchmarks against industry incumbents

Highest-Impact Actions

Develop and deploy high-authority technical content specifically targeting 'alternatives to The Graph' and 'real-time on-chain data for AI' queries.

These are the highest-intent queries for your core audience, and your current absence is a direct revenue leak to competitors.

Optimize technical documentation and developer guides for LLM retrieval by using structured, comparative data formatting.

AI models prioritize structured data comparisons when synthesizing answers; you must explicitly define your utility against competitors to be included in those outputs.

Launch an 'Infrastructure Performance' series aimed at Technical Leads that provides transparent, side-by-side data syncing benchmarks.

This persona is currently underserved; providing tangible performance data will build the necessary credibility to transition from a niche mention to a primary consideration.

Value Proposition

Chainbase offers an 'AI-ready' omnichain architecture that uses the Manuscript Protocol to standardize data from hundreds of blockchains into a unified, programmable format, bridging the gap between human developers and AI agents.

Overview

Mission

Our mission is to make blockchain data universally accessible and useful, empowering everyone to truly enjoy the benefits of the open internet era.

Products & Services

Chainbase Data PlatformChainbase APIsData CloudChainbase SyncManuscript ProtocolHyperdata NetworkManuscriptsCVM InterfaceBuildermapsStaking

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Sentiment when asked about the brand directly	100	100	100	100
“What do you know about Chainbase? What do they do and what's their reputation?”	Positive	Positive	Positive	Positive
Core5q Product/service category queries	0	35	0	0
“what are the best alternatives to the graph for indexing data across multiple chains”	No	#3	No	No
“what should i look for when choosing a web3 infrastructure provider for high-volume dapps”	No	No	No	No
“i need a good way to get real-time on-chain data into my ai model, what tools should i use”	No	No	No	No
“best apis for pulling live blockchain data for a dApp project”	No	No	No	No
“compare the leading blockchain data indexing services right now”	—	No	No	No
Growth Areas4q Adjacent, aspirational & visionary	0	45	30	0
“best tools for syncing decentralized data to a cloud warehouse for analytics”	No	#1	No	No
“best web3 data analytics platforms for deep enterprise insights”	No	No	#6	No
“what platforms offer the best infrastructure for building on-chain ai agents”	No	No	No	No
“how do i start building cross-chain data pipelines without managing my own nodes”	No	No	No	No

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

Positive

“what are the best alternatives to the graph for indexing data across multiple chains”

“what should i look for when choosing a web3 infrastructure provider for high-volume dapps”

“i need a good way to get real-time on-chain data into my ai model, what tools should i use”

“best apis for pulling live blockchain data for a dApp project”

“compare the leading blockchain data indexing services right now”

—

“best tools for syncing decentralized data to a cloud warehouse for analytics”

“best web3 data analytics platforms for deep enterprise insights”

“what platforms offer the best infrastructure for building on-chain ai agents”

“how do i start building cross-chain data pipelines without managing my own nodes”

Competitive Landscape

The Graph

58 mentions

Alchemy

46 mentions

QuickNode

40 mentions

Covalent

37 mentions

Moralis

33 mentions

Bitquery

27 mentions

Snowflake

26 mentions

SubQuery

22 mentions

Space and Time

21 mentions

Dune Analytics

21 mentions

Chainbase

5 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

High brand awareness in direct 'vibe check' inquiries across ChatGPT, Claude, and Gemini

Strength

Successful association with advanced data syncing use cases on Claude, positioning the brand as a specialized technical tool

Strength

Early traction with the Data-Driven Product Strategist persona in enterprise-level infrastructure discussions

Recommended Actions

Develop and deploy high-authority technical content specifically targeting 'alternatives to The Graph' and 'real-time on-chain data for AI' queries.

These are the highest-intent queries for your core audience, and your current absence is a direct revenue leak to competitors.

Optimize technical documentation and developer guides for LLM retrieval by using structured, comparative data formatting.

AI models prioritize structured data comparisons when synthesizing answers; you must explicitly define your utility against competitors to be included in those outputs.

Launch an 'Infrastructure Performance' series aimed at Technical Leads that provides transparent, side-by-side data syncing benchmarks.

This persona is currently underserved; providing tangible performance data will build the necessary credibility to transition from a niche mention to a primary consideration.

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

Blockchain Data Infrastructure Selection(3 queries)

“what are the best alternatives to the graph for indexing data across multiple chains”

1/4 platforms mentioned

Core

ChatGPT

1.The Graph

2.Covalent

3.Dune (Dune SIM)

4.Space and Time

5.Subsquid

+8 more

Claude

1.Graph Protocol

2.The Graph

3.Chainbase

4.SubQuery

5.Ormi

+5 more

Gemini

1.The Graph

2.Subsquid

3.Space and Time

4.SubQuery

5.Covalent (GoldRush)

+4 more

AI Overviews

1.The Graph

2.Subsquid

3.Envio (HyperIndex)

4.SubQuery

5.Goldsky

+4 more

“i need a good way to get real-time on-chain data into my ai model, what tools should i use”

0/4 platforms mentioned

Core

The Technical Lead Scaling dApps · Lead Software Engineer

ChatGPT

1.Erigon

2.QuickNode

3.Alchemy

4.Infura

5.Blocknative

+21 more

Claude

1.Ormi

2.Bitquery

3.Crypto APIs

4.The Graph

5.Goldsky

+3 more

Gemini

1.Alchemy

2.Quicknode (Quicknode Streams)

3.Bitquery (CoreCast)

4.Chainlink

5.Chainstream

+15 more

AI Overviews

1.QuickNode

2.Allium

3.Goldsky

4.Nansen

5.Hubble AI

+5 more

“best apis for pulling live blockchain data for a dApp project”

0/4 platforms mentioned

Core

The Technical Lead Scaling dApps · Lead Software Engineer

ChatGPT

1.Alchemy

2.QuickNode

3.Ankr

4.Helius

5.The Graph

+3 more

Claude

1.QuickNode

2.Alchemy (Cortex)

3.Infura

4.Helius

5.HyperIndex (HyperSync)

+14 more

Gemini

1.Alchemy (Supernode API)

2.Ethereum

3.Polygon

4.Arbitrum

5.Infura (Infura API)

+5 more

AI Overviews

1.Alchemy

2.QuickNode

3.Consensys (Infura)

4.MetaMask

5.NOWNodes

+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.

covalent-v2.us

Chainbase

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

Chainbase

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.