Pendium
Hex
Hex
Visibility62
Vibe99
Businesses/Software/Hex
Hex
AI Visibility & Sentiment

Hex

Hex is an AI-powered data platform that enables teams to explore, analyze, and visualize data through agentic notebooks, conversational analytics, and collaborative workspaces. It brings together SQL, Python, and AI capabilities to make data accessible to both technical and non-technical users.

Active Monitoring
hex.tech
AI Visibility Score
62/100

Good

Sentiment Score
99/100
AI Perception

Summary

Hex has achieved a dominant position as the preferred platform for BI transformation and advanced AI-assisted data science, consistently outperforming legacy incumbents like Tableau and Snowflake in recommendation rankings. While the brand is nearly ubiquitous for technical personas using Claude and Gemini, a critical visibility gap exists in non-technical data democratization queries that could hinder broad enterprise adoption.

Value Proposition

Hex combines the power of AI with collaborative data notebooks to help anyone on a team explore and analyze data using natural language, SQL, or Python—all in one integrated workspace.

Overview

Hex is an AI-powered data platform that enables teams to explore, analyze, and visualize data through agentic notebooks, conversational analytics, and collaborative workspaces. It brings together SQL, Python, and AI capabilities to make data accessible to both technical and non-technical users.

Mission

To help companies of all sizes do more with their data by making data exploration accessible to everyone, regardless of technical proficiency.

Products & Services
Agentic data notebooksConversational analytics (Threads)Context Studio for semantic modelsData apps and dashboardsSQL and Python workspace
Agent Breakdown

AI Platforms

How often do different AI platforms reference Hex?

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Conversation Analysis

Topics

What conversations is Hex included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Hex to, and when?

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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.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Modernizing Data Workflows(3 queries)

recommend some modern alternatives to tableau or mode for a data team that needs better collaboration

2/4 platforms mentioned

ChatGPTChatGPT
1.Tableau
2.Mode
3.Looker
4.LookML
5.dbt
13.Hex

+26 more

ClaudeClaude
1.Looker
2.Google Cloud
3.Metabase
4.Sigma Computing
5.Apache Superset

+2 more

GeminiGemini
1.Tableau
2.Mode
3.ThoughtSpot
4.SpotIQ
5.Sigma Computing

+5 more

AI OverviewsAI Overviews
1.Count
2.Hex
3.Sigma Computing
4.Snowflake
5.BigQuery

+7 more

we're moving off legacy tools, what are the best platforms right now that combine sql and python for analysts?

3/3 platforms mentioned

ClaudeClaude
1.Snowflake
2.Hex
3.Google Docs
4.Git
5.pandas

+10 more

GeminiGemini
1.Python
2.Pandas
3.Scikit-learn
4.Snowflake
5.Hex

+8 more

AI OverviewsAI Overviews
1.Hex
2.Databricks
3.Deepnote
4.Snowflake Notebooks
5.Mode Analytics

+3 more

build me a tech stack for a 10-person data team that wants to use ai to speed up analysis

2/3 platforms mentioned

ClaudeClaude
1.Hex
2.Snowflake
3.VS Code
4.Jupyter
5.Pylance

+23 more

GeminiGemini
1.Snowflake
2.dbt
3.Prefect
4.Apache Airflow
5.VS Code
7.Hex

+19 more

AI OverviewsAI Overviews
1.Alation
2.Snowflake
3.Cortex
4.Databricks
5.Zerve AI

+9 more

Democratizing Data Access(1 query)

how can i let my sales team query our warehouse using natural language without them knowing sql?

0/4 platforms mentioned

ChatGPTChatGPT
1.ThoughtSpot
2.Microsoft Power BI Q&A
3.Azure
4.Tableau Ask Data
5.Tableau

+30 more

ClaudeClaude
1.Metabase
2.Looker Studio
3.Mode Analytics
4.Secoda
5.Runway

+3 more

GeminiGemini
1.Tableau
2.Ask Data
3.Microsoft Power BI
4.Q&A
5.ThoughtSpot

+5 more

AI OverviewsAI Overviews
1.Index
2.Querio
3.Snowflake
4.BigQuery
5.ThoughtSpot

+5 more

Advanced AI Assisted Data Science(1 query)

what are the best agentic data notebooks for data scientists who are tired of jupyter?

3/3 platforms mentioned

ClaudeClaude
1.Jupyter
2.Cursor
3.GPT
4.Noteable
5.Hex

+2 more

GeminiGemini
1.Jupyter Notebooks
2.Jupyter
3.Hex
4.Deepnote
5.Polyfire

+8 more

AI OverviewsAI Overviews
1.Jupyter
2.Hex
3.Julius
4.Deepnote
5.Snowflake

+8 more

Data Platform Evaluation & Trust(1 query)

most trusted collaborative data platforms for enterprise companies in 2026

1/4 platforms mentioned

ChatGPTChatGPT
1.Snowflake
2.Snowpark
3.Databricks
4.Delta Lake
5.Unity Catalog

+30 more

ClaudeClaude
1.Snowflake
2.Databricks
3.Unity Catalog
4.Delta Lake
5.Google BigQuery

+5 more

GeminiGemini
1.Snowflake Data Cloud
2.Snowflake
3.Databricks Lakehouse Platform
4.Databricks
5.Apache Spark

+14 more

AI OverviewsAI Overviews
1.Snowflake
2.Databricks
3.Microsoft Fabric
4.Power BI
5.Synapse
14.Hex

+8 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Unrivaled performance with the BI Transformation Leader persona, achieving a 100% mention rate and an elite 2.3 average position.

Strength

Top-tier authority in 'Advanced AI-Assisted Data Science' queries, securing the #1 spot on Claude and #2 on ChatGPT, Gemini, and AIOverviews.

Strength

Exceptional visibility on Claude (80% mention rate, 2.9 avg pos), where it is frequently recommended as a primary alternative to legacy tools.

Gap

Total absence in ChatGPT for 'Democratizing Data Access' queries, specifically failing to appear for sales-focused natural language warehouse queries.

Gap

Weak ranking for 'Data Platform Evaluation & Trust' within AIOverviews (position #14), suggesting a lack of authoritative enterprise-grade trust signals.

Gap

Lagging performance in ChatGPT (67% mention rate) relative to other LLMs, indicating the platform's training data may be less saturated with recent Hex success stories.

Opportunity

Pivot content strategy to emphasize 'Natural Language Querying' for business users to capture the underserved 'Democratizing Data Access' search volume.

Opportunity

Leverage the brand's clear lead in 'Agentic Data Notebooks' to define this emerging category before Deepnote or Jupyter can regain ground.

Opportunity

Capitalize on the 'Modernizing Data Workflows' trend where Hex is already a top-3 recommendation for teams moving off legacy stacks.

Technical Health

Site Health for AI Visibility

How well Hex's website is optimized for AI agent discovery and comprehension.

90/100
18 passed 2 warnings 1 issues
Audited 2/27/2026
Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO91

Titles, descriptions, headings

Content Quality60

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Critical Issues

!

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

!

2 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

!

Title is too short (29 characters)

Expand the title to 50-60 characters with descriptive keywords.

!

Few headings on page

Add more H2 and H3 headings to organize content into sections.

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Brand Identity

Brand Voice & Style

How AI perceives Hex's communication style and personality

Hex communicates with a confident, technically sophisticated voice that remains approachable and human. The brand balances deep data expertise with accessibility, using clear language to explain complex concepts. There's an underlying enthusiasm for making data work easier, paired with credibility from serving top-tier companies. The tone is modern and forward-thinking, emphasizing AI capabilities without being overly hyped.

Core Tone Traits

Technically confident

Speaks with authority on data topics while remaining accessible to varied skill levels

Approachable and human

Uses conversational language and avoids jargon-heavy communication

Innovation-forward

Emphasizes AI and cutting-edge capabilities with genuine excitement

Customer-centric

Frequently highlights real user outcomes and testimonials

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Hex

1Snowflake39 mentions
2Hex38 mentions
3Tableau24 mentions
4dbt21 mentions
5ThoughtSpot21 mentions
6Databricks19 mentions
7Deepnote19 mentions
8Jupyter16 mentions
9Looker14 mentions
10BigQuery14 mentions
11Mode13 mentions
Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

count.co

http://count.co/

Referenced in 1 query

Review
Querio.ai

http://querio.ai/

Referenced in 1 query

Review
30 Best BI Tools: Ranked, Reviewed and Summarized (2026)

https://www.holistics.io/blog/business-intelligence-bi-tools/

Referenced in 1 query

Review
10 Best Business intelligence Tools for Collaborative Data ...

https://count.co/blog/best-business-intelligence-tools-for-collaborative-data-analysis-and-business-improvement-2025

Referenced in 1 query

Review
10 Best Alternatives to Tableau for 2025 - Sigma Computing

https://www.sigmacomputing.com/blog/best-alternatives-to-tableau

Referenced in 1 query

Review
Top Business Intelligence Tools in 2026: A Practical Buyer's ...

https://www.ovaledge.com/blog/business-intelligence-tools

Referenced in 1 query

Review
Top 5 AI Tools for Data Visualization to Consider in 2026 - ThoughtSpot

https://www.thoughtspot.com/data-trends/ai/ai-tools-for-data-visualization

Referenced in 2 queries

Review
Best Alternatives To Tableau: A Fact-Based Comparison Matrix (2026)

https://www.holistics.io/bi-tools/tableau-alternatives/

Referenced in 1 query

Review
2025’s Top Business Intelligence Software: Maximize Data Insights ...

https://www.sigmacomputing.com/blog/best-bi-software

Referenced in 2 queries

Review
Best Data Analysis Tools for Teams: Collaboration, Versioning ...

https://querio.ai/articles/best-data-analysis-tools-for-teams-collaboration-versioning-and-reproducibility

Referenced in 1 query

Review
Choosing the Right BI Tool in 2026: A Practical Guide for ...

https://www.nockpoint.com/blog/choosing-the-right-bi-tool-in-2026-a-deep-practical-guide-for-modern-teams

Referenced in 1 query

Review
Tableau Alternatives: Visual Data Analysis Tools for Every Budget

https://querio.ai/articles/tableau-alternatives-visual-data-analysis-tools-for-every-budget

Referenced in 1 query

Review
Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Hex's resources to help users.

Democratize Data with NLQ Content Authority

Address Hex's invisibility for 'Democratizing Data Access' queries on ChatGPT by creating authoritative documentation and content focused on natural language querying for non-technical users. This high-priority initiative targets business decision-makers by publishing accessible guides, use cases, and educational content that positions Hex as the go-to solution for NLQ, while social media amplifies these resources to build citation-worthy authority.

How business analysts can query databases without writing a single line of code
The complete guide to asking your data questions in plain English
5 ways natural language querying is changing how marketing teams access insights
Why your finance team should stop waiting on data requests and start asking directly
From question to answer in 60 seconds: what NLQ actually looks like in practice

Expand Technical Footprint in Data Communities

Boost Hex's mention rate on ChatGPT by increasing presence in high-authority data community forums, GitHub repositories, and technical publications. This strategy addresses the performance gap between ChatGPT and Claude by diversifying technical training data sources through community engagement, open-source contributions, and case study distribution across platforms where LLMs source technical recommendations.

How we built a collaborative data workflow that cut analysis time by 70%
Open-source SQL patterns every data team should steal for faster queries
Real talk: what data scientists actually want from their notebook environment
Case study: How a 50-person data team standardized their analytics stack
The technical architecture behind combining AI, SQL, and Python in one workspace

Optimize Enterprise Trust and Governance Visibility

Improve AIOverviews positioning for enterprise trust queries where Hex currently ranks 13th-14th by optimizing security and collaboration content for governance keywords. This involves updating enterprise-focused pages with trust-centric language, publishing governance frameworks, and promoting compliance credentials through social channels to capture high-value enterprise decision-makers researching secure data platforms.

Enterprise data governance checklist: 10 non-negotiables for collaborative analytics
How Hex handles SOC 2 compliance without slowing down your data team
The hidden security risks in most data collaboration tools and how to avoid them
What CISOs actually ask before approving a new analytics platform
Building trust at scale: governance features enterprise data teams require

Create AI-Discoverable Thought Leadership Content

Establish Hex as a primary reference for AI assistants answering data analytics queries by publishing high-signal content across platforms LLMs actively crawl and cite. This combines technical depth with accessibility, creating authoritative resources that address both democratizing data access and technical credibility gaps while building social proof through consistent thought leadership distribution.

The future of data analysis: where AI agents meet human intuition
Why the best data teams are betting on conversational analytics in 2026
Agentic notebooks explained: what they are and why they matter now
How AI is finally making data accessible to everyone on the team
The data platform buying guide: questions every team should ask vendors
Content Engineering

Recommended Actions

!

Develop and publish high-authority documentation focused on natural language querying (NLQ) for non-technical personas.

Hex is currently invisible for 'Democratizing Data Access' queries on ChatGPT, which is a primary entry point for business-side decision-makers.

Impact: High
~

Increase technical mentions and case studies within high-authority data community forums and GitHub repositories.

Hex's lower performance on ChatGPT compared to Claude suggests a need for more diverse technical training data to boost its mention rate and average position.

Impact: Medium
~

Optimize enterprise security and collaboration pages for 'Trust and Governance' keywords to improve AIOverviews positioning.

Current AIOverviews rankings for enterprise trust (pos 13/14) lag behind the brand's general performance, potentially stalling high-value contract wins.

Impact: Medium
~

Aggressively target 'Modern Alternatives to Tableau' comparison content.

Hex is already showing strong momentum here; reinforcing this narrative will solidify its status as the primary successor to the legacy BI era.

Impact: Low

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Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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