Factory

Visibility31

Vibe95

AI Visibility & Sentiment

Factory

Factory provides agent-native software development through autonomous AI agents called Droids that integrate directly into developers' existing workflows. The platform enables engineering teams to delegate complex coding tasks like refactoring, incident response, and migrations without changing their tools, models, or workflows.

Active Monitoring

factory.ai

Software

AI Visibility Score

31/100

Low

Sentiment Score

95/100

AI Perception

Summary

Factory has successfully captured the attention of high-level visionary leaders on Claude, yet it remains dangerously invisible in the critical 'autonomous coding agent' category where specialized competitors are currently defining the market. While the brand excels in delegation-focused engineering queries, its absence from reliability and security-centric searches creates a major trust gap for enterprise architects.

Value Proposition

The only software development agents that work everywhere you do - seamlessly integrating into IDEs, CLI, Slack, Linear, and existing engineering tools to delegate tasks as they come to mind, wherever you are.

Overview

Mission

AI that will work with you, not replace you

Products & Services

Droids - Autonomous AI coding agentsIDE integrations (VS Code, JetBrains, Vim, Meta)CLI and terminal toolsSlack and Linear integrationsEnterprise security and compliance solutions

Agent Breakdown

AI Platforms

How often do different AI platforms reference Factory?

Loading explorer...

Conversation Analysis

Topics

What conversations is Factory included in — or excluded from?

Loading explorer...

Buyer Personas

Personas

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

Loading explorer...

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 Engineering Output With Autonomous Agents(3 queries)

“how can i use autonomous ai agents to handle our codebase refactoring and migrations”

0/3 platforms mentioned

Claude

1.Codemod Studio

2.Grit

3.Semgrep

4.GitHub Copilot X

5.LangChain

+16 more

Gemini

1.Sourcegraph

2.Code Llama

3.Meta AI

4.GitHub Copilot

5.GPT-4

+10 more

AI Overviews

1.Aviator.co

2.Augment Code

3.GitHub Actions

4.ona.com

5.Cursor

+5 more

“what are the best tools for delegating engineering tasks like incident response and fixing tickets automatically”

3/4 platforms mentioned

ChatGPT

1.PagerDuty

2.Blameless

3.FireHydrant

4.Rundeck

5.StackStorm

29.Factory

+27 more

Claude

1.Factory

2.Slack

3.GitHub Copilot

4.Workplace

5.PagerDuty

+5 more

Gemini

1.Factory

2.PagerDuty

3.Jira

4.Slack

5.Opsgenie

+7 more

AI Overviews

1.Rootly

2.incident.io

3.PagerDuty

4.Xurrent IMR

5.Sera AI

+8 more

“i need an ai coding assistant that works in my terminal and slack not just the editor”

3/3 platforms mentioned

Claude

1.Factory

2.Slack

3.GitHub Copilot

4.GitHub

5.Cursor

+3 more

Gemini

1.Factory

2.Slack

3.GitHub Copilot

AI Overviews

1.Augment

2.Augment Code

3.Claude Code

4.Manus

5.Aider

12.Factory

+7 more

Enterprise AI Adoption And Security(1 query)

“what are the most secure ai coding platforms for enterprise teams with strict compliance needs”

0/3 platforms mentioned

Claude

1.GitHub Copilot Enterprise

2.GitHub

3.JetBrains AI Assistant

4.IntelliJ IDEA

5.JetBrains

+14 more

Gemini

1.GitHub Enterprise Server

2.GitHub

3.Dependabot

4.GitLab Ultimate

5.GitLab

+16 more

AI Overviews

1.Tabnine Enterprise

2.GitHub Copilot Enterprise

3.Augment Code

4.Amazon Q Developer

5.Codeium Enterprise

Evaluating AI Coding Agent Reliability(1 query)

“best reviewed autonomous coding agents that actually work in a professional setting”

0/3 platforms mentioned

Claude

1.GitHub Copilot X

2.Copilot Enterprise

3.VS Code

4.GitHub

5.Cursor IDE

+9 more

Gemini

1.GitHub Copilot

2.Codex

3.VS Code

4.Visual Studio

5.Neovim

+8 more

AI Overviews

1.Faros AI

2.Cursor

3.VS Code

4.Cline

5.Claude Dev

+6 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Exceptional performance on Claude with a 60% mention rate and a dominant average position of 2.1.

Strength

High resonance with the 'Visionary CTO' persona, achieving a 77% visibility rate for strategic engineering queries.

Strength

Strong positioning for task delegation queries, frequently ranking #1 on both Claude and Gemini for 'best tools for delegating engineering tasks'.

Gap

Complete absence from 'best reviewed autonomous coding agents' queries, allowing competitors like Augment Code and Cursor to own the category narrative.

Gap

Weak performance in Google AI Overviews with only 13% visibility, significantly trailing established players like GitHub Copilot.

Gap

Poor penetration of the 'Workflow-Obsessed Engineering Manager' persona, with visibility dropping to 17% compared to the CTO segment.

Opportunity

Capitalize on the existing positive sentiment in Gemini and Claude to expand into 'reliability' and 'security' themed content clusters.

Opportunity

Optimize technical documentation to improve capture rates for AI Overviews, where Factory is currently under-indexing.

Opportunity

Pivot messaging to address the specific pain points of Engineering Managers to move beyond high-level visionary appeal into operational implementation.

Technical Health

Site Health for AI Visibility

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

89/100

17 passed 4 warnings 1 issues

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical90

SSL, mobile, doctype basics

On-Page SEO78

Titles, descriptions, headings

Content Quality73

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

Page has no H1 heading

Add a single H1 tag as the main page heading.

Warnings

4 render-blocking resources are slowing initial render

Defer non-critical JS with async/defer. Inline critical CSS. Move stylesheets to load asynchronously.

Title is too short (17 characters)

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

Meta description may be truncated (260 characters)

Shorten to under 160 characters.

Content may be too short

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

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

Brand Identity

Brand Voice & Style

How AI perceives Factory's communication style and personality

Factory communicates with a technically sophisticated yet accessible tone that speaks directly to developers and engineering leaders. The voice is confident and forward-thinking, positioning the company at the forefront of AI-powered development without being hyperbolic. There's an emphasis on practical utility and seamless integration, with messaging that respects developers' existing workflows rather than demanding change. The brand balances enterprise credibility with developer-friendly approachability.

Core Tone Traits

Technically Precise

Uses accurate developer terminology and speaks authentically to engineering audiences

Confidently Innovative

Positions as a leader in agent-native development without overpromising

Developer-Centric

Respects existing workflows and tools, emphasizing integration over disruption

Enterprise-Ready

Conveys security, scalability, and compliance without being corporate or stiff

Competitive Landscape

Related Ecosystem

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

GitHub Copilot19 mentions

Slack19 mentions

Factory16 mentions

GitHub12 mentions

AWS11 mentions

Augment Code10 mentions

GitHub Copilot Enterprise10 mentions

Cursor9 mentions

Linear9 mentions

Zapier9 mentions

PagerDuty9 mentions

Source Intelligence

Citations

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

Aviator.co

https://aviator.co/

Referenced in 1 query

Review

ona.com

https://ona.com/

Referenced in 1 query

Review

LLM Agents for Code Migration: A Real-World Case Study

https://www.aviator.co/blog/llm-agents-for-code-migration-a-real-world-case-study/

Referenced in 1 query

Review

Are AI agents ready for large-scale migrations?

https://platformengineering.org/blog/are-ai-agents-ready-for-large-scale-migrations

Referenced in 1 query

Review

Accelerating code migrations with AI

https://research.google/blog/accelerating-code-migrations-with-ai/

Referenced in 1 query

Review

AI-Agent Powered Software Upgrades and Migration - Medium

https://medium.com/@mixed_code/ai-agent-powered-software-upgrades-and-migration-f9e32b7b39d5

Referenced in 1 query

Review

AI Code Refactoring: Tools, Tactics & Best Practices

https://www.augmentcode.com/tools/ai-code-refactoring-tools-tactics-and-best-practices

Referenced in 1 query

Review

The Future of AI Agents in Migration Projects - Sogeti Labs

https://labs.sogeti.com/the-future-of-ai-agents-in-migration-projects-addressing-resource-constraints/

Referenced in 1 query

Review

AWS Transform: Automating Legacy Migration Using Agentic AI

https://medium.com/sudoconsultants/aws-transform-automating-legacy-migration-using-agentic-ai-02d24d9c3c20

Referenced in 1 query

Review

Multi-Agent Workflows for Complex Refactoring - Kinde

https://kinde.com/learn/ai-for-software-engineering/ai-agents/multi-agent-workflows-for-complex-refactoring-orchestrating-ai-teams/

Referenced in 1 query

Review

Use Automated Parallel AI Agents for Massive Refactors

https://tessl.io/blog/use-automated-parallel-ai-agents-for-massive-refactors/

Referenced in 1 query

Review

Open Source Auto-refactoring Meets AI Agent to Modernize ...

https://www.finos.org/blog/open-source-auto-refactoring-meets-ai-agent-to-modernize-fintech-software-at-scale

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 Factory's resources to help users.

Dominate 'Autonomous Coding Agents' Category Visibility

Factory has zero visibility for 'Autonomous Coding Agents' despite this being our core value proposition. This goal focuses on saturating AI-indexable content channels with authoritative, keyword-rich content that positions Factory as the definitive solution in this category. We'll create technical deep-dives, comparison content, and developer-focused resources that LLMs will reference when users ask about autonomous coding agents.

What Makes a Coding Agent Truly Autonomous: The Technical Requirements Most Vendors Skip

Autonomous Coding Agents vs. AI Copilots: Why the Distinction Matters for Engineering Teams

The Complete Guide to Evaluating Autonomous Coding Agents for Enterprise Development

How Droids Handle Complex Refactoring Tasks Without Human Intervention

5 Signs Your Team Is Ready for Autonomous Coding Agents

Establish Enterprise Security Authority Through Proof Points

Our Security-First Enterprise Architect persona shows only 33% visibility with mixed sentiment, indicating insufficient authoritative security content for LLMs to reference. This goal prioritizes publishing comprehensive security whitepapers, compliance benchmarks, and SOC 2/ISO documentation that AI systems will cite when enterprise architects ask about secure AI development tools. Social amplification will target security-focused engineering communities.

How Factory Droids Maintain Zero-Trust Security While Accessing Your Codebase

Enterprise Compliance Checklist: What Security Teams Need Before Deploying AI Coding Agents

Our SOC 2 Type II Journey: Lessons for AI-Native Development Platforms

Security Architecture Deep-Dive: How Droids Isolate and Protect Sensitive Code

Why Enterprise Security Teams Are Approving Autonomous Agents in 2026

Restructure Documentation for AI Overview Dominance

With only 13% mention rate in AI Overviews, Factory is losing zero-click searches to GitHub and AWS. This goal focuses on restructuring our technical documentation with clear hierarchies, FAQ schemas, and concise answer-ready content that LLMs prefer when generating AI Overviews. We'll optimize for the specific query patterns developers use when searching for workflow automation solutions.

Step-by-Step: Delegating Your First Migration Task to a Factory Droid

Factory vs. Traditional CI/CD: A Direct Comparison for Common Development Tasks

FAQ: Everything Developers Ask About Integrating Autonomous Agents Into Existing Workflows

How to Set Up Factory Droids in Your IDE in Under 10 Minutes

The Developer's Quick Reference Guide to Droid Task Delegation

Create Engineering Manager Workflow Case Studies

Engineering Managers show only 17% visibility because we lack content addressing their daily terminal-level friction points. This goal produces specific, scenario-based case studies showing how Factory solves real workflow problems—incident response, code reviews, and migration backlogs. These detailed use cases will give LLMs concrete examples to cite when managers ask about improving team velocity.

Case Study: How One Engineering Team Cleared a 6-Month Migration Backlog in 3 Weeks

The Hidden Cost of Context-Switching: Why Engineering Managers Are Delegating to Droids

Before and After: Real Metrics From Teams Using Factory for Incident Response

What Engineering Managers Actually Save When They Delegate Refactoring to AI Agents

From Slack to Shipped: How Managers Assign Tasks to Droids Without Leaving Their Workflow

Content Engineering

Recommended Actions

Execute a category-theft strategy for 'Autonomous Coding Agents'.

Factory currently has zero visibility for this specific, high-intent keyword cluster despite it being the brand's core value proposition.

Impact: High

Develop and publish deep-dive security whitepapers and compliance benchmarks.

The Security-First Enterprise Architect persona shows mixed sentiment and low visibility (33%), indicating a need for more authoritative, indexable security proof points.

Impact: High

Restructure technical documentation for AI Overview (LLM) crawling.

With only a 13% mention rate in AI Overviews, Factory is losing the 'zero-click' search battle to GitHub and AWS.

Impact: Medium

Create workflow-specific case studies targeting Engineering Managers.

The 17% visibility for this persona suggests a lack of content that speaks to the daily terminal-level friction these users face.

Impact: Medium

Is this your business? We can help you improve your AI visibility.

Book a Free Strategy Session

Backing