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

Onehouse

Visibility15

Vibe90

Businesses/Data Infrastructure & Analytics/Onehouse

AI Visibility & Sentiment

Onehouse

Onehouse is a cloud-native, fully-managed data lakehouse platform built by the creators of Apache Hudi. They enable enterprises to build lightning-fast, cost-effective data infrastructure with open formats, eliminating vendor lock-in while delivering 2-3x faster performance at half the cost.

Active Monitoring

onehouse.ai

Data Infrastructure & Analytics Startups

AI Visibility Score

15/100

Invisible

Sentiment Score

90/100

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 Onehouse today.

Onehouse currently functions as a 'ghost brand' in the AI landscape, earning perfect marks when asked for by name but remaining virtually invisible during the critical discovery phase where competitors like Delta Lake and Databricks are the default recommendations. While the platform secures a dominant #1 position in AI Overviews for real-time CDC and ingestion, it is completely absent from the conversational workflows of ChatGPT and Claude, the primary tools for its target data engineering audience.

Working in your favor

Excellent brand sentiment and accuracy during direct 'brand vibe check' queries across all tested platforms.

Top-tier #1 ranking in AI Overviews for high-intent queries related to 'managed tools for CDC and streaming ingestion.'

Stronger resonance with the 'Open-Source Purist Data Engineer' persona compared to executive-level personas, largely due to its Apache Hudi lineage.

Gaps to close

Zero percent mention rate on ChatGPT and Claude, representing a total blackout on the two most influential LLMs for technical decision-making.

Failure to appear in competitive 'Lakehouse Performance' and 'Spark optimization' queries where Apache Iceberg and Delta Lake currently dominate the narrative.

Low visibility for the 'Cost-Conscious Tech Executive' persona, missing opportunities to position as a high-value alternative to expensive legacy warehouses.

Opportunities

Capture the 'Data Lake Serving' niche which is currently underserved by major competitors in AI responses.

Leverage existing AI Overview dominance in ingestion to bridge the gap into broader 'Lakehouse Platform' recommendations.

Exploit the high 'vibe check' score by flooding technical forums with benchmark data that links Onehouse to performance improvements for Spark and S3.

Highest-Impact Actions

Execute an aggressive technical content campaign on high-authority engineering platforms like StackOverflow and GitHub to influence ChatGPT and Claude training sets.

Onehouse is currently ignored by the most popular LLMs, which rely on technical discourse and documentation volume to form recommendations.

Publish and distribute 'Head-to-Head' performance whitepapers comparing Onehouse/Hudi against Delta Lake and Iceberg.

Competitors are winning 40x more mentions in performance-related queries; Onehouse needs comparative data to be cited as a viable alternative.

Optimize technical documentation specifically for 'Data Lake Serving' and 'Observability' keywords to capture currently unranked categories.

These queries represent a significant gap in the current data infrastructure market where AI models struggle to find a definitive leader.

Value Proposition

Truly open data lakehouse that delivers lightning-fast performance at half the cost, with no vendor lock-in, built by the team behind Apache Hudi and major data lakehouse breakthroughs.

Overview

Mission

To deliver modern data infrastructure that makes data lakes easier, faster, and cheaper while ensuring customers own their data in open formats.

Products & Services

OneFlow Data Ingestion - managed CDC and streaming ingestionQuanton Engine - 2-3x faster SQL and Spark execution at 50% lower costTable Optimizer - automated lakehouse table maintenanceLakeView - free data lakehouse observability toolLakeBase - lakehouse serving layer with database speeds

Current State

Visibility Landscape

A high-level view of how Onehouse 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 Onehouse? What do they do and what's their reputation?”	#1	#1	#1	#1
Core5q Product/service category queries	0	0	42	48
“how can I get way faster spark performance on my data lake without spending a fortune”	No	No	#16	#6
“I need a managed tool for CDC and streaming ingestion into my lakehouse, any recommendations?”	No	No	No	#1
“how can I serve data directly from my lakehouse with database-like speeds”	No	No	No	No
“most trusted data lakehouse platforms for enterprise teams in 2026”	No	No	#18	No
“help me find a data warehouse alternative that won't lock me into a proprietary format”	No	No	#17	No
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

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

“how can I get way faster spark performance on my data lake without spending a fortune”

#16

“I need a managed tool for CDC and streaming ingestion into my lakehouse, any recommendations?”

“how can I serve data directly from my lakehouse with database-like speeds”

“most trusted data lakehouse platforms for enterprise teams in 2026”

#18

“help me find a data warehouse alternative that won't lock me into a proprietary format”

#17

Competitive Landscape

Delta Lake

40 mentions

Databricks

38 mentions

Apache Iceberg

29 mentions

26 mentions

Snowflake

26 mentions

Spark

24 mentions

Apache Hudi

24 mentions

Trino

23 mentions

Dremio

16 mentions

GCS

15 mentions

Onehouse

6 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Excellent brand sentiment and accuracy during direct 'brand vibe check' queries across all tested platforms.

Strength

Top-tier #1 ranking in AI Overviews for high-intent queries related to 'managed tools for CDC and streaming ingestion.'

Strength

Stronger resonance with the 'Open-Source Purist Data Engineer' persona compared to executive-level personas, largely due to its Apache Hudi lineage.

Recommended Actions

Execute an aggressive technical content campaign on high-authority engineering platforms like StackOverflow and GitHub to influence ChatGPT and Claude training sets.

Onehouse is currently ignored by the most popular LLMs, which rely on technical discourse and documentation volume to form recommendations.

Publish and distribute 'Head-to-Head' performance whitepapers comparing Onehouse/Hudi against Delta Lake and Iceberg.

Competitors are winning 40x more mentions in performance-related queries; Onehouse needs comparative data to be cited as a viable alternative.

Optimize technical documentation specifically for 'Data Lake Serving' and 'Observability' keywords to capture currently unranked categories.

These queries represent a significant gap in the current data infrastructure market where AI models struggle to find a definitive leader.

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

Lakehouse Performance & Cost Optimization(2 queries)

“how can I get way faster spark performance on my data lake without spending a fortune”

0/4 platforms mentioned

Core

ChatGPT

1.Spark

2.Parquet

3.ORC

4.Apache Iceberg

5.Delta Lake

+19 more

Claude

1.Spark

2.Delta Lake

3.AWS

4.Azure

5.GCP

+7 more

Gemini

1.Apache Iceberg

2.Delta Lake

3.Apache Hudi

4.Zstandard

5.Apache Comet

+15 more

AI Overviews

1.Apache Parquet

2.ORC

3.Delta Lake

4.Apache Iceberg

5.Apache Hudi

+5 more

“help me find a data warehouse alternative that won't lock me into a proprietary format”

1/4 platforms mentioned

Core

The Open-Source Purist Data Engineer · Senior Data Engineer

ChatGPT

1.Apache Iceberg

2.Apache Hudi

3.S3

4.GCS

5.ADLS

+23 more

Claude

1.Apache Iceberg

2.Spark

3.Trino

4.Flink

5.Presto

+15 more

Gemini

1.Snowflake

2.BigQuery

3.Trino

4.Apache Iceberg

5.S3

17.Onehouse

+21 more

AI Overviews

1.Apache Parquet

2.ORC

3.Snowflake

4.BigQuery

5.AWS S3

+13 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.

Apache Spark Optimization Techniques for Data Engineers

linkedin.com

Social1 ref

Spark Performance Tuning Tips From an Expert - Pepperdata

pepperdata.com

Onehouse

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Onehouse

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

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.