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

Rill Data

Visibility50

Vibe74

Businesses/Business Intelligence & Analytics Software/Rill Data

AI Visibility & Sentiment

Rill Data

Rill Data is a high-performance, AI-native business intelligence platform that goes beyond traditional dashboards with a BI-as-code approach. Backed by modern analytical databases, Rill enables faster data exploration, metrics-first analytics, and cost-efficient cloud warehouse operations for data teams.

Active Monitoring

Business Intelligence & Analytics Software

AI Visibility Score

50/100

Moderate

Sentiment Score

74/100

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Rill Data today.

Rill Data has moderate AI visibility with a score of 43/100. It performs well in brand-specific and comparison queries but struggles to appear in broader searches related to modernizing analytics stacks and optimizing cloud costs.

Overview

Mission

BI-as-code platform with embedded in-memory database that delivers 10x faster dashboards, automatic visualizations, and significant cloud warehouse cost savings while enabling Git-based deployment workflows.

Current State

Visibility Landscape

A high-level view of how Rill Data 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	—	—	—	—
Core Topics Product/service category queries	—	—	—	—
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

Snowflake

72 mentions

Looker

46 mentions

Tableau

37 mentions

Lightdash

37 mentions

dbt

36 mentions

BigQuery

30 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Rill Data consistently ranks #1 across all tested platforms (ChatGPT, Claude, Gemini, AIOverviews) for queries explicitly comparing it to competitors like Lightdash and Evidence.

Strength

The brand also performs very well for direct queries about Rill Data's capabilities and reviews, consistently ranking #1 on all platforms for the '_brand_vibe_check' query.

Gap

Rill Data is not mentioned in any of the queries related to 'Modernizing the Analytics Stack', 'Cloud Cost Optimization & Infrastructure Efficiency', or 'Developer-Centric BI Workflows'. This indicates a lack of visibility for broader industry needs.

Recommended Actions

Develop content targeting the 'Modernizing the Analytics Stack' theme, focusing on keywords related to dashboard loading speed and alternatives to existing solutions.

The query "our dashboards take forever to load what are the fastest alt..." resulted in a #19 ranking on Gemini, showing potential to rank higher with targeted content. This is a key area where users are actively seeking solutions.

Create content focused on 'Cloud Cost Optimization & Infrastructure Efficiency' showcasing how Rill Data helps lower cloud warehouse bills and deliver sub-second analytics without scaling up.

The complete absence of Rill Data in queries related to cloud cost optimization indicates a significant gap. Addressing this will position Rill Data as a cost-effective solution.

Produce content illustrating how Rill Data fits into a DevOps workflow and supports a BI-as-code approach.

Similar to cloud cost optimization, the 'Developer-Centric BI Workflows' queries yielded no mentions, highlighting a missed opportunity to connect with a developer audience. Focus on integrations and workflow benefits.

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

Modernizing The Analytics Stack(2 queries)

“our dashboards take forever to load what are the fastest alternatives to looker or tableau”

1/4 platforms mentioned

ChatGPT

1.Looker

2.Tableau

3.Microsoft Power BI

4.Qlik Sense

5.ThoughtSpot

+30 more

Claude

1.Looker

2.Tableau

3.Metabase

4.Apache Superset

5.Lightdash

+8 more

Gemini

1.Looker

2.Tableau

3.Snowflake

4.BigQuery

5.Databricks

19.Rill Data

+26 more

AI Overviews

1.Looker

2.Explo

3.Power BI

4.Microsoft

5.Domo

+21 more

“help me find a modern bi tool that handles massive datasets without lagging”

0/4 platforms mentioned

ChatGPT

1.Microsoft Power BI

2.Microsoft 365

3.Azure

4.Tableau

5.Tableau Cloud

+37 more

Claude

1.Snowflake

2.Tableau

3.Power BI

4.Looker

5.Databricks SQL

+10 more

Gemini

1.Snowflake

2.BigQuery

3.Databricks

4.Sigma Computing

5.Snowflake

+26 more

AI Overviews

1.GoodData

2.PowerBI

3.DuckDb

4.Qlik

5.Oracle

+1 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.

Alternatives to Looker : r/GoogleDataStudio

reddit.com

Forum1 ref

The Hidden Costs of Cloud Data Systems — And How I ...

medium.com

Blog1 ref

5 Proven Tactics to Reduce AWS Bills Today by 30% in 2025

simform.com

Web1 ref

7 Ways To Instantly Reduce Your AWS Bill by up to 15%

linkedin.com

Social1 ref

Best Practices for Managing Costs in Data Warehousing

bmc.com

Web1 ref

Best practices for cost optimization | Databricks on AWS

databricks.com

Web1 ref

Dashboards as Code With Sisense Git Integration

sisense.com

Web1 ref

Holistics.io

holistics.io

Web1 ref

thenaturalist/awesome-business-intelligence

github.com

Code1 ref

Create an Analytics view - Azure DevOps

learn.microsoft.com

Web1 ref

Evidence.dev

evidence.dev

Web1 ref

Why We Built Rill with DuckDB

rilldata.com

Web1 ref

Rill and DuckDB: A Powerful Duo for Analytics | by Jesus LM

medium.com

Blog1 ref

Unlocking Data Insights with Rill: A Comprehensive Guide ...

simonspaeti.com

Web1 ref

Rill Developer - Simon Späti

simonspaeti.com

Web1 ref

Competitive Landscape

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

Snowflake72 mentions

Looker46 mentions

Tableau37 mentions

Lightdash37 mentions

dbt36 mentions

BigQuery30 mentions

Power BI28 mentions

Evidence27 mentions

DuckDB26 mentions

ClickHouse23 mentions

Rill Data13 mentions

Brand Identity

Brand Voice & Style

How AI perceives Rill Data's communication style and personality

Rill Data communicates with a confident, technically sophisticated voice that speaks directly to data professionals. The tone balances developer-friendly directness with approachable clarity, emphasizing performance metrics and tangible outcomes. They use precise technical language without being overly complex, positioning themselves as innovators challenging legacy BI conventions. The brand conveys authority through user testimonials and concrete benefits like '10x faster dashboards' while maintaining an accessible, modern startup energy.

Core Tone Traits

Technically Confident

Speaks with authority on data engineering topics using precise terminology

Performance-Focused

Emphasizes speed, efficiency, and measurable outcomes

Developer-Friendly

Uses language and concepts familiar to technical audiences

Challenger Brand Energy

Positions against legacy BI with bold claims and modern approaches

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 January 30, 2026.

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