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

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33 Teams

Visibility0

Vibe50

Businesses/Technology Consulting/33 Teams

AI Visibility & Sentiment

33 Teams

33 Teams is a boutique software product design and delivery consultancy that specializes in building high-performance digital products and modernizing engineering cultures. They utilize a collaborative, balanced team approach to help organizations accelerate time-to-market and adopt modern Agile practices.

Active Monitoring

33teams.com

Technology Consulting

AI Visibility Score

0/100

Invisible

Sentiment Score

50/100

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

visionary

AI Perception

Summary

33 Teams currently maintains zero visibility within the AI-driven consideration sets of decision-makers seeking software delivery partners, despite demonstrating clear brand recognition in direct inquiries. The brand is effectively invisible during critical evaluation phases where competitors like Thoughtworks and Slalom are dominating the generative AI ecosystem.

Value Proposition

Their 'Balanced Team' approach combines executive-level strategic advisory with tactical excellence in Lean and Agile methodologies to ensure business outcomes are prioritized over mere code production.

Overview

Mission

We believe in balanced teams, bridging the gap between business strategy and technical execution to foster flexibility, accountability, trust, and respect.

Products & Services

Product Design & DeliveryLegacy ModernizationExecutive AdvisoryTeam Augmentation & Training

Agent Breakdown

AI Platforms

How often do different AI platforms reference 33 Teams?

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Conversation Analysis

Key Topics

What conversations is 33 Teams included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend 33 Teams 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.

ChatGPT

Claude

Gemini

AI Overviews

Technology Consulting & Software Delivery Partner Selection(3 queries)

“who are the top software product design and engineering firms for series a startups”

0/4 platforms mentioned

Core

ChatGPT

1.IDEO (IDEO.org, IDEO Studio)

2.Frog

3.LUNAR

4.Publicis Groupe

5.Banno

+11 more

Claude

1.DBB Software

2.Rocketech

3.Imaginary Cloud

4.Goji Labs

5.Grio

+2 more

Gemini

1.MTechZilla

2.Cleveroad

3.IT Craft

4.Wildnet Edge

5.Rootstrap

+6 more

AI Overviews

1.Thoughtbot

2.Netguru

3.Simform

4.Vention

5.Apptunix

+9 more

“what are the best consulting firms for modernizing legacy software stacks for enterprises”

0/4 platforms mentioned

Core

The Scaling Engineering Lead · Director of Engineering

ChatGPT

1.Accenture

2.Deloitte

3.IBM Consulting

4.Capgemini

5.Tata Consultancy Services

+7 more

Claude

1.Accenture

2.IBM Consulting

3.Deloitte

4.Capgemini

5.Infosys (Infosys Cobalt, Modernization Suite)

+4 more

Gemini

1.Accenture

2.Deloitte

3.IBM Consulting

4.Capgemini

5.Tata Consultancy Services (TCS)

+13 more

AI Overviews

1.Accenture (myWizard)

2.IBM Consulting (zSystems, Watsonx Code Assistant)

3.Cognizant (Skygrade, Neuro AI)

4.Deloitte (innoWake)

5.Zoolatech

+4 more

“list firms that specialize in agile transformation and building high-performance engineering teams”

0/4 platforms mentioned

Core

The Scaling Engineering Lead · Director of Engineering

ChatGPT

1.Accenture

2.Deloitte

3.IBM Consulting

4.Capgemini (Sogeti)

5.Tata Consultancy Services (TCS)

+16 more

Claude

1.Bain & Company (Scrum Inc.)

2.McKinsey & Company

3.Boston Consulting Group

4.ScienceSoft

5.Financial Times

+6 more

Gemini

1.Boston Consulting Group

2.McKinsey & Company

3.Bain & Company

4.PA Consulting

5.Centric Consulting

+14 more

AI Overviews

1.Bain & Company

2.Boston Consulting Group (BCG X)

3.McKinsey & Company

4.Thoughtworks

5.PA Consulting

+7 more

Brand Perception

What AI Really Thinks

We asked each AI platform directly about 33 Teams to understand how they perceive the brand. These responses back up the Sentiment Score and reveal tone, accuracy, and blind spots across platforms and personas.

0Positive

4Neutral

0Negative

across 4 responses

“What do you know about 33 Teams? What do they do and what's their reputation?”

ChatGPT

Neutral

“…33 Teams can refer to a few different things…”

Claude

Neutral

“…33 Teams is a software product design and delivery company that has built software in every category…”

Gemini

Neutral

“…33 Teams (Software Product Design and Delivery) This "33 Teams" is a company focused on defining, designing, and delivering software products.…”

AI Overviews

Neutral

No snippet captured

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

High brand recall in direct 'vibe check' queries across all major AI platforms (ChatGPT, Claude, Gemini).

Gap

Complete absence in 'Core' intent queries related to software product design, engineering, and agile transformation.

Gap

Missing from 'Trust & Evaluation' searches where executives look for alternatives to established consulting firms.

Technical Health

Site Health for AI Visibility

How well 33 Teams's website is optimized for AI agent discovery and comprehension.

83/100

12 passed 4 warnings 2 issues

Audited 3/25/2026

Crawlability93

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO64

Titles, descriptions, headings

Content Quality73

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG82

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Critical Issues

Page has no meta description

Add a <meta name="description"> tag summarizing the page (150-160 characters).

Page has no H1 heading

Add a single H1 tag as the main page heading.

Warnings

No robots.txt file found

Create a robots.txt file at your domain root. Optional but recommended.

2 render-blocking resource(s) detected

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

Title is too short (14 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.

Few internal links on this page

Add more internal links to related pages on your site.

+ 1 more warnings

Want a full technical audit with AI-specific recommendations?

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Brand Identity

Brand Voice & Style

How AI perceives 33 Teams's communication style and personality

33 Teams communicates with a tone that is highly authoritative, experienced, and professional, reflecting their background as C-suite executives and industry veterans. They adopt a direct, solution-oriented approach that emphasizes partnership and tangible results, positioning themselves as trusted advisors who understand the complexities of both startups and Fortune 500 enterprises.

Core Tone Traits

Authoritative & Expert

Leverages deep C-suite and executive experience to establish immediate credibility.

Solution-Oriented

Focuses on solving real business problems through clear, actionable software delivery.

Collaborative

Emphasizes the 'balanced team' philosophy and working alongside the client.

Direct & Professional

Communicates clearly and efficiently, avoiding fluff in favor of business value.

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of 33 Teams

Thoughtworks31 mentions

Accenture19 mentions

Slalom18 mentions

Deloitte15 mentions

Capgemini14 mentions

Thoughtbot13 mentions

Cognizant13 mentions

ScienceSoft12 mentions

EPAM Systems12 mentions

McKinsey & Company11 mentions

33 Teams0 mentions

Source Intelligence

Citations

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

Top Product Engineering Companies for Early-Stage Startups (Pre-Seed, Seed) in the IT Industry | 2026

https://dbbsoftware.com/insights/top-product-engineering-companies

Referenced in 2 queries

Review

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use 33 Teams's resources to help users.

Establish Authority in Software Delivery and Agile Transformation

This goal addresses the lack of visibility in foundational intent queries by creating high-intent, structured content that defines modern engineering standards. By providing clear definitions and process-oriented data, we ensure AI assistants cite 33 Teams as a primary source for delivery methodology and Agile practices.

The 12-week blueprint for transitioning from legacy waterfall to a high-velocity Agile delivery model without disrupting current operations

How to evaluate a software delivery partner: five non-negotiable metrics beyond velocity and story points that determine project success

Why most Agile transformations fail at the executive level and the three structural changes that actually fix the process

A technical breakdown of engineering operations: how we reduce cycle time from weeks to hours using automated delivery pipelines

Position 33 Teams Against Enterprise Consulting Giants

This strategy targets high-intent queries looking for alternatives to massive firms like Accenture and Thoughtworks by highlighting the boutique Balanced Team advantage. It provides the specific comparison data AI needs to recommend 33 Teams to users seeking high-touch, senior-level engineering expertise.

33 Teams vs. The Big Four: why boutique consultancies deliver faster ROI for VC-funded startups and growth-stage companies

Why enterprise-scale consulting contracts often stifle innovation in product-led engineering organizations and how the Balanced Team approach differs

The hidden costs of body shopping in software delivery and why a collaborative partnership model saves long-term engineering spend

Beyond Thoughtworks: comparing the 33 Teams methodology to traditional Agile coaching for modern digital product delivery

Build Credibility with Engineering Leadership Personas

This goal addresses the need for semantic relevance by producing expert-level content on the specific pain points of VPs of Engineering and CTOs. By solving the feature versus technical debt dilemma, we provide the high-quality assets AI assistants use to answer complex engineering management questions.

The CTO guide to balancing aggressive feature roadmaps with technical debt without losing top-tier developer talent or morale

How to scale an engineering team from 10 to 50 developers without breaking your existing product culture or delivery speed

Legacy modernization strategies that do not involve a total system rewrite: a pragmatic approach for engineering leads in 2026

Why your team velocity is a vanity metric: how to measure what actually moves the needle for business outcomes

Content Engineering

Recommended Actions

Execute an AI-focused content audit targeting 'Software Delivery Partner' and 'Agile Transformation' intent queries.

The firm is currently losing all potential high-intent leads to competitors by failing to appear in foundational industry search results.

Impact: High

Develop a 'Competitor Comparison' strategy that directly addresses queries seeking alternatives to firms like Thoughtworks and Accenture.

Prospective clients are actively searching for firms with your profile, but the AI is unable to associate 33 Teams with these value propositions.

Impact: High

Implement a technical SEO strategy specifically optimized for Large Language Model (LLM) training datasets and retrieval-augmented generation (RAG).

Visibility in AI overviews requires authoritative, structured data that clearly defines the firm's expertise in engineering operations and legacy modernization.

Impact: Medium

Produce 'Thought Leadership' assets tailored to the pain points of the Scaling Engineering Lead persona.

By addressing the balance of feature shipping and technical debt in high-quality, long-form content, the firm can build the semantic relevance needed to earn AI placement.

Impact: Medium

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Data generated by Pendium.ai AI visibility scanning. Last scanned March 26, 2026.

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