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

Matatika

Visibility37

Vibe89

Businesses/Data & Analytics Software/Matatika

AI Visibility & Sentiment

Matatika

Matatika is a data analytics and workflow platform that supports teams in continuing their analytics and data operations. The company has acquired the Meltano open source project and now provides migration support for former Arch customers, focusing on enterprise-ready data tooling with stability and extensibility.

Active Monitoring

arch.dev

Data & Analytics Software Startups

AI Visibility Score

37/100

Low

Sentiment Score

89/100

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 Matatika today.

Matatika has successfully secured a monopoly on the 'Enterprise Meltano' narrative, yet it remains virtually invisible in the broader, high-value data orchestration market. While AI models recognize the brand as a niche leader for support, they fail to recommend it as a viable alternative to giants like Dagster or Prefect during critical platform evaluation phases.

Working in your favor

Dominant top-of-page visibility for queries regarding enterprise support for the Meltano project across all tested platforms.

High sentiment scores and top-tier positioning in brand-specific 'vibe checks,' indicating a clear and positive brand identity where known.

Strongest resonance with the Risk-Averse Enterprise Data Director persona, capturing a 33% mention rate with high-ranking positions.

Gaps to close

Complete absence in the 'Data Workflow Orchestration' and 'Pipeline Migration' categories, where competitors like Dagster and Prefect are consistently cited.

Fails to appear as a recommended alternative to Airflow or Dagster, even though these represent its primary competitive set.

Significantly lower visibility on ChatGPT (11%) compared to search-integrated models like Gemini (33%), suggesting a lack of presence in the training data versus real-time web results.

Opportunities

Capture market share in the 'Modernizing Open Source Data Stacks' category by positioning Matatika as the necessary infrastructure layer for scaling Meltano.

Leverage the positive sentiment in AI Overviews to target 'Airflow alternative' queries through structured comparison content.

Improve visibility with the Productivity-First Analytics Manager by emphasizing speed-to-value and managed orchestration features over raw infrastructure support.

Highest-Impact Actions

Develop and index comprehensive 'Alternative to Airflow' and 'Dagster vs Matatika' technical guides.

The brand is currently missing from all comparative evaluation queries; specific comparison content is required to force AI models to associate Matatika with the broader orchestration category.

Optimize technical documentation for 'how-to' queries related to Meltano modernization and scaling.

Matatika is already associated with Meltano; shifting that association toward 'modernizing' and 'scaling' captures users at a higher-intent stage of the funnel.

Increase presence on developer-centric forums and third-party review sites to feed ChatGPT's knowledge base.

The 11% mention rate on ChatGPT indicates a lack of diverse, high-authority mentions in its training data compared to the more real-time results seen in Gemini.

Value Proposition

Matatika offers continuity and stability for data teams by providing enterprise-ready data tooling backed by the acquired Meltano open source project, ensuring long-term sustainability and seamless migration support.

Overview

Mission

Ensuring continued development, maintenance, and long-term sustainability of open source data tooling while helping teams continue their analytics workflows without disruption.

Products & Services

Data analytics platformData workflow managementMeltano open source project stewardshipMigration support servicesEnterprise data tooling

Current State

Visibility Landscape

A high-level view of how Matatika 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 Matatika? What do they do and what's their reputation?”	#1	#1	#1	#1
Core5q Product/service category queries	41	48	62	61
“how should I set up an open source data stack using Meltano and dbt, any specific platforms to use?”	No	No	#5	#1
“recommend some alternatives to Airflow and Dagster for a mid-sized data team that needs stability”	No	No	No	No
“our current data tool is shutting down, help me find a migration service to move my pipelines without downtime”	No	#6	#3	—
“most reliable data workflow management platforms in 2026, which ones should I look at?”	No	No	No	No
“who provides enterprise support for the Meltano project now that things have changed?”	#1	#1	#2	#2
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

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

“how should I set up an open source data stack using Meltano and dbt, any specific platforms to use?”

“recommend some alternatives to Airflow and Dagster for a mid-sized data team that needs stability”

“our current data tool is shutting down, help me find a migration service to move my pipelines without downtime”

—

“most reliable data workflow management platforms in 2026, which ones should I look at?”

“who provides enterprise support for the Meltano project now that things have changed?”

Competitive Landscape

Dagster

29 mentions

Prefect

25 mentions

Meltano

24 mentions

dbt

23 mentions

Snowflake

19 mentions

Apache Airflow

19 mentions

Airflow

17 mentions

Kubernetes

15 mentions

PostgreSQL

11 mentions

Singer

11 mentions

Matatika

10 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Dominant top-of-page visibility for queries regarding enterprise support for the Meltano project across all tested platforms.

Strength

High sentiment scores and top-tier positioning in brand-specific 'vibe checks,' indicating a clear and positive brand identity where known.

Strength

Strongest resonance with the Risk-Averse Enterprise Data Director persona, capturing a 33% mention rate with high-ranking positions.

Recommended Actions

Develop and index comprehensive 'Alternative to Airflow' and 'Dagster vs Matatika' technical guides.

The brand is currently missing from all comparative evaluation queries; specific comparison content is required to force AI models to associate Matatika with the broader orchestration category.

Optimize technical documentation for 'how-to' queries related to Meltano modernization and scaling.

Matatika is already associated with Meltano; shifting that association toward 'modernizing' and 'scaling' captures users at a higher-intent stage of the funnel.

Increase presence on developer-centric forums and third-party review sites to feed ChatGPT's knowledge base.

The 11% mention rate on ChatGPT indicates a lack of diverse, high-authority mentions in its training data compared to the more real-time results seen in Gemini.

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 Open Source Data Stacks(2 queries)

“how should I set up an open source data stack using Meltano and dbt, any specific platforms to use?”

0/4 platforms mentioned

Core

ChatGPT

1.Meltano

2.dbt

3.Postgres

4.ClickHouse

5.DuckDB

+34 more

Claude

1.Meltano

2.dbt

3.PostgreSQL

4.Stripe

5.DuckDB

+11 more

Gemini

1.Meltano

2.dbt

3.PostgreSQL

4.DuckDB

5.ClickHouse

+14 more

AI Overviews

1.Meltano

2.dbt

3.DuckDB

4.PostgreSQL

5.Apache Airflow

+8 more

“who provides enterprise support for the Meltano project now that things have changed?”

4/4 platforms mentioned

Core

The Open-Source Infrastructure Advocate · Lead Data Engineer

ChatGPT

1.Matatika

2.Meltano

3.GitHub

4.Elementl

5.Dagster

+8 more

Claude

1.Matatika

2.Meltano

3.GitHub

4.Slack

5.Airbyte

+7 more

Gemini

1.Meltano

2.Matatika

3.Meltano Cloud

4.Arch

5.Arch.dev

+11 more

AI Overviews

1.Meltano

2.Arch Data, Inc.

3.Arch

4.Slack

5.Brooklyn Data Co.

7.Matatika

+2 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.

Meltano docs

docs.meltano.com

Matatika

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

Matatika

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.