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

Ricursive Intelligence

Visibility27

Vibe86

Businesses/Artificial Intelligence/Ricursive Intelligence

AI Visibility & Sentiment

Ricursive Intelligence

Ricursive Intelligence is a frontier AI lab focused on building self-improving systems, starting with chip design. They are reinventing chip development and closing the loop between AI and the hardware that fuels it, recursively accelerating the path to artificial superintelligence.

Active Monitoring

ricursive.com

Artificial Intelligence

AI Visibility Score

27/100

Low

Sentiment Score

86/100

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

aspirational

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Ricursive Intelligence today.

Ricursive Intelligence is currently a conceptual ghost within the primary conversational AI landscape, failing to earn a single mention in ChatGPT, Claude, or Gemini across industry-defining queries. While the brand successfully anchors its identity to the 'recursive intelligence' concept in search-based AI Overviews, it is completely sidelined in critical infrastructure and hardware-software co-optimization discussions dominated by NVIDIA and Cerebras.

Value Proposition

Pioneering self-improving AI systems that recursively optimize both AI algorithms and the hardware they run on, creating a virtuous cycle accelerating the path to artificial superintelligence

Overview

Mission

Recursively accelerating the path to artificial superintelligence by closing the loop between AI and the hardware that fuels it

Products & Services

AI-driven chip design optimizationSelf-improving AI systems researchHardware-AI co-design solutionsRecursive intelligence development

Current State

Visibility Landscape

A high-level view of how Ricursive Intelligence performs across AI platforms, broken down by strategic reach level — from core brand queries to growth opportunities.

	ChatGPT	AI Overviews
Reputation Brand recognition & direct queries	0	39
Core Topics Product/service category queries	—	14
Growth Areas Adjacent, aspirational & visionary	—	0

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

—

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

NVIDIA

16 mentions

Graphcore

14 mentions

Cerebras Systems

13 mentions

AMD

10 mentions

Cerebras

10 mentions

CUDA

9 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Secured top-tier positioning (pos #2 and #4) in AI Overviews for foundational queries regarding the concept of recursive intelligence and frontier systems.

Strength

Maintains a perfect 100% brand-positive sentiment and rank #1 across all platforms for direct 'vibe check' brand queries.

Strength

High relevance with the 'Principal Silicon Architect' persona in AI Overviews, achieving an average position of 2.0 when identified.

Recommended Actions

Flood technical forums and open-source repositories with documentation linking Ricursive's architecture to 'Hardware-AI Co-Optimization'.

The brand is currently ignored in the hardware-software performance category, a space currently dominated by NVIDIA with 16 mentions.

Launch a targeted technical content campaign addressing the 'AGI Research Director' persona to resolve the 0% visibility rate with this key stakeholder.

AGI researchers are a primary audience for frontier labs; failing to rank for this persona prevents the brand from being seen as a viable research leader.

Develop and syndicate whitepapers on 'Alternatives to Standard GPUs' specifically optimized for LLM training data inclusion.

Conversational models (Claude, ChatGPT, Gemini) currently show zero awareness of Ricursive as an infrastructure player; increasing citations in technical corpora is essential for LLM discovery.

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

Hardware AI Co Optimization Research(3 queries)

“how can I optimize my model performance by customizing the underlying hardware architecture”

0/3 platforms mentioned

Core

Claude

1.NVIDIA

2.CUDA

3.AMD

4.ROCm

5.Intel

+19 more

Gemini

1.Intel Xeon

2.AMD EPYC

3.Intel Core i9

4.AMD Ryzen 9

5.NVIDIA

+26 more

AI Overviews

1.NVIDIA Tensor Cores

2.Google TPUs

3.NVIDIA TensorRT

4.Intel OpenVINO

5.NVIDIA Jetson

“give me a list of labs working on AI-driven chip design and hardware-AI co-design solutions”

1/3 platforms mentioned

Adjacent

The Deep Tech Venture Partner · General Partner at a Tier-1 VC Firm

Claude

1.SambaNova Systems

2.Cerebras

3.Wafer-Scale Engine

4.Andromeda AI

5.Graphcore

+12 more

Gemini

1.MIT

2.CSAIL

3.Stanford University

4.SAIL

5.UC Berkeley

+14 more

AI Overviews

1.Institute for CHIPS and AI

2.Purdue University

3.Sharc Lab

4.Georgia Tech

5.ML-assisted Electronic Design Automation

25.Ricursive Intelligence

+22 more

“what are the best alternatives to standard GPUs for running self-improving AI models”

0/3 platforms mentioned

Core

The Deep Tech Venture Partner · General Partner at a Tier-1 VC Firm

Claude

1.SambaNova

2.Cerebras

3.A100s

4.TPUs

5.V5e

+11 more

Gemini

1.Google Cloud Platform

2.SambaNova Systems

3.Cerebras Systems

4.Wafer Scale Engine

5.Graphcore IPUs

+12 more

AI Overviews

1.Intel Gaudi

2.AWS Trainium

3.IBM

4.Google TPUs

5.TensorFlow

+16 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.

Optimize AI Models Like a Pro: 10 Techniques for Better Results

artiba.org

Web1 ref

Balancing speed and efficiency: A practical guide to hardware ...

latentai.com

Web1 ref

Hardware-Aware Model Design - Emergent Mind

emergentmind.com

Web1 ref

Hardware-Aware Pruning Methods - Emergent Mind

emergentmind.com

Web1 ref

AI Workload Optimization: Hardware Matching Use Cases

verticaldata.io

Web1 ref

Hardware-Aware Machine Learning: Modeling and Optimization

arxiv.org

Web1 ref

Optimizing Code For Deep Learning Model Training on CPU

topflightpc.com

Web1 ref

Hardware-Aware Efficient Deep Learning - EECS at Berkeley

www2.eecs.berkeley.edu

Edu1 ref

Hardware-Aware LLM Performance Engineering - Emergent Mind

emergentmind.com

Web1 ref

Optimization of Deep Learning Model Training ... - IEEE Xplore

ieeexplore.ieee.org

Web1 ref

Hardware-aware approach to deep neural network optimization

sciencedirect.com

Web1 ref

Optimizing Deep Learning Efficiency through Algorithm ... - JAIT

jait.us

Web1 ref

Designing chips for efficient and accessible AI

ece.engin.umich.edu

Edu1 ref

Deep Learning Model Optimizations Made Easy (or at Least ...

intel.com

Web1 ref

Infrastructure: Machine Learning Hardware Requirements - C3 AI

c3.ai

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Ricursive Intelligence.

NVIDIA16 mentions

Graphcore14 mentions

Cerebras Systems13 mentions

AMD10 mentions

Cerebras10 mentions

CUDA9 mentions

SambaNova9 mentions

Groq9 mentions

TensorFlow7 mentions

Xilinx7 mentions

Ricursive Intelligence3 mentions

Brand Identity

Brand Voice & Style

How AI perceives Ricursive Intelligence's communication style and personality

Ricursive Intelligence communicates with confident technical authority while maintaining an ambitious, visionary tone. Their voice is precise and intellectually rigorous, befitting a frontier AI lab, yet accessible enough to convey their groundbreaking mission. They project quiet confidence rather than hype, letting their ambitious goals and expert team speak for themselves. The brand balances scientific credibility with bold aspirations about the future of intelligence.

Core Tone Traits

Technically Authoritative

Speaks with deep expertise in AI and chip design, using precise language that signals credibility to technical audiences

Ambitiously Visionary

Unafraid to articulate bold goals around superintelligence while grounding them in concrete technical approaches

Confidently Understated

Projects quiet confidence through substance rather than hype, letting the work and team credentials speak

Intellectually Rigorous

Emphasizes systematic, recursive approaches and first-principles thinking in all communications

Backing

Investors

Sequoia

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.