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.

Roadmap Pricing

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NeuraNav

Visibility0

Vibe50

Businesses/Robotics and Artificial Intelligence/NeuraNav

AI Visibility & Sentiment

NeuraNav

NeuraNav provides a foundational infrastructure layer for spatial AI, enabling robots to perceive, remember, and understand their physical environments. Their technology empowers developers to build more intelligent and autonomous robotic systems.

Active Monitoring

neuronav.io

Robotics and Artificial Intelligence

AI Visibility Score

0/100

Invisible

Sentiment Score

50/100

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

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe NeuraNav today.

NeuraNav currently faces a critical visibility gap in the AI-driven robotics landscape, remaining entirely absent from the high-intent discovery queries where engineers and procurement leaders define their technology stacks. While competitors like ROS 2 and NVIDIA dominate the narrative around spatial AI and SLAM integration, NeuraNav has yet to establish the topical authority required to be part of the technical evaluation process.

Working in your favor

Brand recognition exists in direct inquiries, indicating that when users seek NeuraNav specifically, the AI models are capable of surfacing the brand identity.

Gaps to close

Complete lack of presence in core technical domains including spatial AI stack architecture and SLAM SDK selection.

Failure to reach critical stakeholders such as Technical Evaluators and Enterprise Procurement Directors during the crucial research phase of the buying cycle.

Inability to capitalize on the growing demand for simplified robotic perception integration where industry incumbents currently capture all organic traffic.

Opportunities

Develop technical documentation and whitepapers specifically targeting 'how-to' queries regarding SLAM SDK selection and spatial AI infrastructure.

Implement a content strategy that positions NeuraNav as the primary solution for developers looking to reduce complexity in robotic perception integration.

Leverage targeted benchmarking content that directly addresses the architectural benefits of the NeuraNav stack compared to legacy open-source tools.

Highest-Impact Actions

Publish high-authority technical content addressing 'best way to architect a spatial AI stack'.

Directly captures engineers at the start of the solution design phase, where competitors currently monopolize the narrative.

Create comparative 'NeuraNav vs. ROS/SLAM SDKs' resource hubs.

Provides the specific information AI models require to recommend NeuraNav when users search for competitive evaluation criteria.

Optimize digital assets for 'robotic perception integration' search intent.

Addresses a high-volume query category where the brand is currently invisible, lowering the barrier to entry for prospective users.

Value Proposition

An essential infrastructure layer that gives robots the ability to see and understand the world, simplifying complex spatial AI implementation.

Overview

Mission

To provide the infrastructure layer where robots see, remember, and understand the world.

Products & Services

NeuraNav SLAM SDKSpatial AI infrastructure layerDeveloper documentation and quickstart guidesRobotic perception software integration

Current State

Visibility Landscape

A high-level view of how NeuraNav 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	70	97	70	70
“What do you know about NeuraNav? What do they do and what's their reputation?”	Yes	#1	Yes	Yes
Core4q Product/service category queries	0	0	0	0
“what is the best way to architect a spatial AI stack for an autonomous mobile robot”	No	No	No	No
“how do I integrate robotic perception software without building everything from scratch”	No	No	No	No
“help me choose a SLAM SDK for an indoor navigation project, what are the top choices to consider”	No	No	No	No
“what are some reliable spatial AI infrastructure layers that work with common hardware platforms”	No	No	No	No
Growth Areas1q Adjacent, aspirational & visionary	0	0	0	0
“what should I look for when comparing spatial AI and SLAM software providers for enterprise robots”	No	No	No	No

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

Yes

“what is the best way to architect a spatial AI stack for an autonomous mobile robot”

“how do I integrate robotic perception software without building everything from scratch”

“help me choose a SLAM SDK for an indoor navigation project, what are the top choices to consider”

“what are some reliable spatial AI infrastructure layers that work with common hardware platforms”

“what should I look for when comparing spatial AI and SLAM software providers for enterprise robots”

Competitive Landscape

ROS 2

19 mentions

RTAB-Map

18 mentions

Cartographer

18 mentions

OpenCV

16 mentions

Gazebo

15 mentions

NVIDIA Jetson

14 mentions

ROS

14 mentions

NVIDIA

13 mentions

NVIDIA Isaac Sim

13 mentions

ORB-SLAM3

12 mentions

NeuraNav

0 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Brand recognition exists in direct inquiries, indicating that when users seek NeuraNav specifically, the AI models are capable of surfacing the brand identity.

Gap

Complete lack of presence in core technical domains including spatial AI stack architecture and SLAM SDK selection.

Gap

Failure to reach critical stakeholders such as Technical Evaluators and Enterprise Procurement Directors during the crucial research phase of the buying cycle.

Recommended Actions

Publish high-authority technical content addressing 'best way to architect a spatial AI stack'.

Directly captures engineers at the start of the solution design phase, where competitors currently monopolize the narrative.

Create comparative 'NeuraNav vs. ROS/SLAM SDKs' resource hubs.

Provides the specific information AI models require to recommend NeuraNav when users search for competitive evaluation criteria.

Optimize digital assets for 'robotic perception integration' search intent.

Addresses a high-volume query category where the brand is currently invisible, lowering the barrier to entry for prospective users.

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

Architecting Spatial AI Systems(2 queries)

“what is the best way to architect a spatial AI stack for an autonomous mobile robot”

0/4 platforms mentioned

Core

ChatGPT

1.ROS 2

2.Nav2

3.robot_localization

4.YOLO

5.SSD

+13 more

Claude

1.NVIDIA

2.NVIDIA Jetson

3.NVIDIA Jetson Orin NX

Gemini

1.YOLO

2.ROS SLAM

3.OpenSLAM.org

4.TensorFlow

5.PyTorch

+4 more

AI Overviews

1.Clarifai

2.NVIDIA Blackwell

3.NVIDIA Isaac Sim

4.Cosmos

5.nvblox

+4 more

“help me choose a SLAM SDK for an indoor navigation project, what are the top choices to consider”

0/4 platforms mentioned

Core

The Technical Evaluator · Lead Robotics Engineer

ChatGPT

1.RTAB-Map

2.RealSense

3.ZED

4.ORB-SLAM3

5.Cartographer

+6 more

Claude

1.Cartographer

2.ORB-SLAM3

3.ORB-SLAM

4.Intel RealSense D435

5.OpenVSLAM

+4 more

Gemini

1.ROS (Robot Operating System)

2.gmapping

3.Cartographer

4.RTAB-Map

5.VINS-Mono

+5 more

AI Overviews

1.ORB-SLAM3

2.SLAM Toolbox

3.ROS

4.GMapping

5.RTAB-Map

+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.

Index

docs.nav2.org

NeuraNav

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Robotics and Artificial Intelligence

Start gettingrecommended by AI.

Frequently asked questions

NeuraNav

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Robotics and Artificial Intelligence

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.