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

Lang.ai

Visibility24

Vibe92

Businesses/Software/Lang.ai

AI Visibility & Sentiment

Lang.ai

Lang.ai is an AI-powered platform that automates the processing of unstructured data, transforming customer interactions and feedback into actionable business insights. The platform integrates with data warehouses like Snowflake to provide comprehensive analytics that help organizations make data-driven decisions and improve their products.

Active Monitoring

lang.ai

Software

AI Visibility Score

24/100

Low

Sentiment Score

92/100

Score by Reach

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Lang.ai today.

Lang.ai has successfully carved out a niche as a preferred tool for technical practitioners, yet it remains effectively invisible to the high-level CX executives who command enterprise budgets. While the brand shows impressive traction within technical and product-led personas, it is currently being drowned out by legacy giants like Zendesk and Snowflake in broad category-trust and strategic-insight queries.

Value Proposition

Automate the transformation of unstructured customer data into actionable insights that drive product decisions and revenue growth

Overview

Mission

Empowering organizations to unlock the value hidden in their unstructured customer data through intelligent automation

Products & Services

Unstructured data processing automationCustomer interaction analyticsProduct feedback analysisSnowflake integrationAI-powered insights platform

Current State

Visibility Landscape

A high-level view of how Lang.ai 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	32	36	38	0
Core Topics Product/service category queries	18	35	30	0
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

Zendesk

89 mentions

Snowflake

82 mentions

Medallia

65 mentions

Thematic

51 mentions

Salesforce

45 mentions

Intercom

44 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Strong resonance with Technical Data Architects (60% mention rate) and Product Growth Leads (57% mention rate).

Strength

Superior ranking performance on Gemini (average position 6.3) compared to other LLMs.

Strength

High relevance in functional queries related to 'scaling product feedback' and 'ticket tagging' automation.

Recommended Actions

Develop and index strategic thought leadership specifically targeting the 'CX Executive' persona.

The current 0% visibility for this persona means the AI models do not associate Lang.ai with high-level business strategy, effectively blocking enterprise-level sales.

Optimize for AI Overviews by creating structured, comparison-style content for unstructured data processing.

With 0% visibility in AI Overviews, Lang.ai is missing out on the primary AI-driven search interface used by modern researchers.

Launch a targeted campaign to improve sentiment and positioning on Claude.

Claude has a high mention rate (46%) but mixed sentiment; improving this narrative will solidify Lang.ai as a premium choice during the evaluation phase.

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

Scaling Product Feedback & Tagging(3 queries)

“how can i automate tagging thousands of support tickets every week”

1/4 platforms mentioned

Core

ChatGPT

1.Zendesk

2.Freshdesk

3.Intercom

4.ServiceNow

5.Freddy AI

+11 more

Claude

1.AWS Comprehend

2.Google Natural Language API

3.Hugging Face

4.BERT

5.RoBERTa

+16 more

Gemini

1.Zendesk

2.Salesforce

3.Freshdesk

4.Lang.ai

5.MonkeyLearn

+18 more

AI Overviews

1.Zendesk AI

2.Freshdesk Freddy AI

3.Salesforce Service Cloud

4.Einstein

5.Canary Mail

+6 more

“help me find a way to turn product feedback into a roadmap without reading every single comment manually”

0/4 platforms mentioned

Core

The Strategic CX Executive · Chief Customer Officer (CCO)

ChatGPT

1.Qualtrics XM

2.Stats iQ

3.Text iQ

4.Medallia Athena AI

5.Productboard

+20 more

Claude

1.Thematic

2.Viable

3.Kapiche

4.Medallia

5.Athena AI

+5 more

Gemini

1.Zendesk

2.Gong

3.Medallia

4.Slack

5.Enterpret

+6 more

AI Overviews

1.Productboard

2.Slack

3.Zendesk

4.InsightLab

5.Enterpret

+9 more

“what are the best tools for product feedback analysis at scale”

0/4 platforms mentioned

Core

The Strategic CX Executive · Chief Customer Officer (CCO)

ChatGPT

1.Qualtrics XM

2.ProductXM

3.XM Discover

4.Salesforce

5.Snowflake

+11 more

Claude

1.Medallia

2.Qualtrics XM

3.Chattermill

4.Medallia Zingle

5.Sprinklr

+6 more

Gemini

1.Thematic

2.Chattermill

3.Dovetail

4.Productboard

5.Salesforce

+9 more

AI Overviews

1.Chattermill

2.Zendesk

3.Salesforce

4.Unwrap

5.Thematic

+9 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.

How to Categorize Support Tickets Using LLMs - Fivetran

fivetran.com

Web1 ref

6 Ways to Use AI Ticket Tags to Optimise Customer Service - SentiSum

sentisum.com

Web1 ref

A practical guide to AI powered tagging for Zendesk tickets in 2026

eesel.ai

Web1 ref

Best Automated Ticket Tools for 2026 - Canary Mail Blog

canarymail.io

Web1 ref

Best AI Ticketing Systems for 2026: Complete Guide - Pylon

usepylon.com

Web1 ref

Best support ticketing systems: 7 top solutions for 2026 - Pylon

usepylon.com

Web1 ref

12 best automated ticketing systems of 2026: A complete guide

zendesk.com

Web1 ref

The Ultimate Support Tagging Taxonomy Guide by Prodsight

prodsight.ai

Web1 ref

What are you using to automate ticket categorization ... - Reddit

reddit.com

Forum1 ref

AI-tagged support tickets - Zapier

zapier.com

Web1 ref

28 Best AI Helpdesk Software Reviewed in 2026 - The CX Lead

thecxlead.com

Web1 ref

How to Build an AI Agents for Auto-Tagging Support Tickets ...

youtube.com

Video1 ref

Best Helpdesk Ticketing System for Businesses in 2026 - Flowcall

flowcall.co

Web1 ref

The 3 best help desk ticketing systems for 2026 - Supportbench

supportbench.com

Web1 ref

Activating and deactivating ticket tags - Zendesk help

support.zendesk.com

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Lang.ai.

Zendesk89 mentions

Snowflake82 mentions

Medallia65 mentions

Thematic51 mentions

Lang.ai48 mentions

Salesforce45 mentions

Intercom44 mentions

MonkeyLearn44 mentions

spaCy41 mentions

Chattermill40 mentions

Enterpret37 mentions

Brand Identity

Brand Voice & Style

How AI perceives Lang.ai's communication style and personality

Lang.ai communicates with a sophisticated yet accessible tone that balances technical credibility with practical business value. The brand voice is confident and forward-thinking, positioning the company as an innovative leader in AI analytics while remaining grounded in real-world outcomes. Content emphasizes data-driven insights and measurable results, speaking to both technical and business stakeholders with clarity and precision.

Core Tone Traits

Data-Driven & Analytical

Emphasizes measurable outcomes, insights, and evidence-based decision making

Innovative & Forward-Thinking

Positions AI automation as the future of customer understanding

Professional & Credible

Speaks with authority on complex technical topics while maintaining accessibility

Results-Oriented

Focuses on practical business value and actionable outcomes

Backing

Investors

Blue Moon

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 February 27, 2026.