Pendium
Sourcegraph
Sourcegraph
Visibility73
Vibe99
Businesses/Software/Sourcegraph
Sourcegraph
AI Visibility & Sentiment

Sourcegraph

Sourcegraph is a code intelligence platform that empowers developers and AI coding agents to search, understand, and automate changes across massive, complex codebases. The platform helps enterprise engineering teams improve velocity, manage large-scale migrations, and track vulnerabilities with powerful code search and AI-powered workflows.

Active Monitoring
sourcegraph.com
SoftwareStartups
AI Visibility Score
73/100

Good

Sentiment Score
99/100
AI Perception

Summary

Sourcegraph has established itself as the definitive authority for enterprise code intelligence, achieving a perfect 100% mention rate on Google Gemini and an elite 1.8 average position among Strategic Enterprise Executives. While the brand dominates high-stakes complexity and trust-based queries, it faces a critical visibility gap in the 'AI Agent Context' narrative where it currently struggles to rank for private codebase integration queries.

Value Proposition

The code understanding platform that lets developers and AI agents search, understand, and automate changes across entire codebases—enabling teams to ship faster while managing growing code complexity.

Overview

Sourcegraph is a code intelligence platform that empowers developers and AI coding agents to search, understand, and automate changes across massive, complex codebases. The platform helps enterprise engineering teams improve velocity, manage large-scale migrations, and track vulnerabilities with powerful code search and AI-powered workflows.

Mission

To make it so everyone codes, by helping developers understand and evolve the world's largest, most complex codebases.

Products & Services
Code Search - Universal code search across all repositories and code hostsDeep Search - AI-powered agentic search for complex codebase questionsBatch Changes - Large-scale automated code modifications across repositoriesCode Insights - AI-powered dashboards for tracking code changesSourcegraph MCP - Integration tools for AI coding agents like Claude Code and Cursor
Agent Breakdown

AI Platforms

How often do different AI platforms reference Sourcegraph?

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Conversation Analysis

Topics

What conversations is Sourcegraph included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Sourcegraph 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.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Managing Massive Code Complexity(2 queries)

“how can our team search across 2000+ github and bitbucket repos at once”

4/4 platforms mentioned

ChatGPTChatGPT
1.GitHub
2.Bitbucket
3.Sourcegraph
4.OpenGrok
5.Zoekt

+9 more

ClaudeClaude
1.GitHub
2.Sourcegraph
3.Bitbucket
4.GitLab
5.Norg

+11 more

GeminiGemini
1.GitHub
2.Bitbucket
3.Sourcegraph
4.Glean
5.Slack

+8 more

AI OverviewsAI Overviews
1.GitHub
2.Bitbucket
3.Stack Overflow
4.Glean
5.Sourcegraph

+6 more

“best way to find every instance of a deprecated api across a whole enterprise”

2/4 platforms mentioned

ChatGPTChatGPT
1.Sourcegraph
2.Semgrep
3.CodeQL
4.Snyk
5.JFrog

+33 more

ClaudeClaude
1.SonarQube
2.Checkmarx
3.Snyk
4.GitHub
5.GitLab

+2 more

GeminiGemini
1.Sourcegraph
2.Batch Changes
3.GitHub Enterprise Search
4.CodeQL
5.Copilot

+12 more

AI OverviewsAI Overviews
1.Ripgrep
2.Semgrep
3.GitHub Enterprise
4.GitLab
5.ESLint

+14 more

Automating Large Scale Code Changes(1 query)

“how to automate a library upgrade across hundreds of repositories simultaneously”

2/4 platforms mentioned

ChatGPTChatGPT
1.GitHub
2.GitLab
3.Bitbucket
4.Renovate
5.Dependabot

+22 more

ClaudeClaude
1.Dependabot
2.GitHub
3.Renovate
4.GitLab
5.Gitea

+6 more

GeminiGemini
1.Renovate
2.Mend
3.GitHub
4.GitLab
5.Bitbucket
15.Sourcegraph Batch Changes

+11 more

AI OverviewsAI Overviews
1.Sourcegraph Batch Changes
2.all-repos
3.GitHub
4.GitLab
5.Pierrot

+8 more

AI Agent Context & Connectivity(1 query)

“how to give claude code better context of my entire private codebase”

2/4 platforms mentioned

ChatGPTChatGPT
1.LlamaIndex
2.LangChain
3.Haystack
4.Deepset
5.Pinecone
11.Sourcegraph Cody

+17 more

ClaudeClaude

No brands listed

GeminiGemini
1.Cursor
2.VS Code
3.Claude 3.5 Sonnet
4.Continue.dev
5.JetBrains
9.Sourcegraph Cody

+6 more

AI OverviewsAI Overviews
1.Bun
2.Node
3.React
4.Zilliz
5.Google Drive

+4 more

Evaluating Code Intelligence Platforms(1 query)

“most trusted code intelligence platforms for fortune 500 engineering teams”

3/4 platforms mentioned

ChatGPTChatGPT
1.GitHub Advanced Security
2.CodeQL
3.GitHub Enterprise
4.Snyk
5.Snyk Code
19.Sourcegraph

+25 more

ClaudeClaude
1.GitHub Advanced Security
2.GitHub Copilot
3.GitHub
4.JetBrains Qodana
5.Snyk

+8 more

GeminiGemini
1.Sourcegraph
2.Cody
3.Glean
4.Jira
5.GitHub

+11 more

AI OverviewsAI Overviews
1.Augment Code
2.Sourcegraph
3.Cody
4.Augment
5.GitHub Enterprise

+7 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Total dominance in the 'Managing Massive Code Complexity' category, consistently ranking in the top 3 across ChatGPT, Claude, and Gemini.

Strength

Exceptional resonance with the Technical Platform Architect persona, maintaining a 100% mention rate and high authority for infrastructure-level queries.

Strength

Strongest performer for 'Trusted Code Intelligence' queries on Gemini and AI Overviews, positioning the brand as the primary choice for Fortune 500 engineering leaders.

Gap

Significant underperformance in the 'AI Agent Context & Connectivity' category, specifically regarding how to give Claude better context of private codebases.

Gap

Volatility in 'Automating Large-Scale Code Changes' rankings on Gemini, where positions fluctuate from #1 to #15, suggesting a lack of consistent indexing for automation-specific keywords.

Gap

Lower visibility among Security & Compliance Officers (63%) compared to other technical personas, missing an opportunity to lead the 'secure code search' conversation.

Opportunity

Capitalize on the #1 ranking for 'Automating Library Upgrades' in AI Overviews to capture high-intent traffic from engineering managers solving for technical debt.

Opportunity

Bridge the 'AI Agent' gap by creating technical documentation that explicitly links Sourcegraph's context capabilities to popular LLMs like Claude.

Opportunity

Displace GitHub Enterprise in the 'Massive Code Complexity' narrative by emphasizing multi-repo search capabilities where GitHub's mention rate (31) shows vulnerability.

Technical Health

Site Health for AI Visibility

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

75/100
7 passed 2 warnings 5 issues
Audited 2/28/2026
Crawlability93

Can AI bots find your pages?

Technical80

SSL, mobile, doctype basics

On-Page SEO55

Titles, descriptions, headings

Content Quality55

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG77

Open Graph, Twitter cards

AI Readability85

How well AI can parse your content

Critical Issues

!

Page returns a 404 error

Fix the underlying issue causing the error. 404s should be redirected or the link removed.

!

Page has no title tag

Add a <title> tag describing the page content (50-60 characters).

!

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.

!

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

!

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.

!

Missing Open Graph tags for social sharing

Add og:title, og:description, and og:image meta tags.

!

LCP data not available

Ensure the page loads with browser rendering enabled.

!

TTI data not available

Ensure the page loads with browser rendering enabled.

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Brand Identity

Brand Voice & Style

How AI perceives Sourcegraph's communication style and personality

Sourcegraph communicates with a confident, technically sophisticated voice that speaks directly to developers and engineering leaders. The tone balances technical depth with accessibility, using clear explanations of complex concepts without being condescending. There's an underlying sense of urgency around the challenges of modern code complexity, paired with optimism about AI-powered solutions. The brand is direct and outcome-focused, emphasizing speed, scale, and enterprise-readiness while maintaining a developer-first authenticity.

Core Tone Traits

Technically Authoritative

Speaks with deep expertise about code, AI agents, and enterprise engineering challenges

Developer-First

Communicates as peers to developers, understanding their pain points and workflows

Outcome-Focused

Emphasizes tangible results like shipping faster, finding vulnerabilities, and improving productivity

Confidently Forward-Looking

Embraces the AI-driven future of coding while addressing current enterprise needs

Competitive Landscape

Related Ecosystem

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

1Sourcegraph37 mentions
2GitHub31 mentions
3Bitbucket23 mentions
4GitLab21 mentions
5Snyk13 mentions
6Zoekt12 mentions
7Hound10 mentions
8Renovate10 mentions
9GitHub Enterprise10 mentions
10SonarQube10 mentions
11Elasticsearch9 mentions
Source Intelligence

Citations

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

Sourcegraph

https://sourcegraph.com/

Referenced in 3 queries

Review
searchcode.com

http://searchcode.com/

Referenced in 1 query

Review
Bitbucket search for string in all git repositories in a project

https://stackoverflow.com/questions/75908615/bitbucket-search-for-string-in-all-git-repositories-in-a-project

Referenced in 1 query

Join Discussion
Code Search API for multiple-repo queries #54835 - GitHub

https://github.com/orgs/community/discussions/54835

Referenced in 1 query

Pitch Story
TIL different ways to clone multiple git repos at once - zufallsheld

https://www.zufallsheld.de/2023/03/22/til-different-ways-to-clone-multiple-git-srepos-at-once/

Referenced in 1 query

Review
Bitbucket integration with Glean | Glean Work AI

https://www.glean.com/connectors/bitbucket

Referenced in 1 query

Review
6 Best Enterprise Search Tools (2026 Comparison)

https://www.read.ai/articles/enterprise-search-tools

Referenced in 1 query

Review
GitKraken Legendary Git Tools

https://www.gitkraken.com/

Referenced in 1 query

Review
GitHub Integration with GitKraken Desktop

https://help.gitkraken.com/gitkraken-desktop/github-gitkraken-desktop/

Referenced in 1 query

Review
Top Code Search Engines for Enterprise in 2026 - Slashdot

https://slashdot.org/software/code-search/f-enterprise/

Referenced in 1 query

Review
How to clone all repos at once from GitHub? - Stack Overflow

https://stackoverflow.com/questions/19576742/how-to-clone-all-repos-at-once-from-github

Referenced in 1 query

Join Discussion
Search across all organisations of an enterprise GitHub ...

https://stackoverflow.com/questions/79014375/search-across-all-organisations-of-an-enterprise-github-account-for-a-specific-r

Referenced in 1 query

Join Discussion
Content Engineering

Goals & Content Ideas

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

Dominate AI Agent Context Search Queries

Sourcegraph is under-represented in AI developer tools context searches despite having the core technology to lead this space. This goal focuses on optimizing technical documentation, blogs, and social content around 'AI Agent Context' and 'Claude private code' queries to ensure LLMs surface Sourcegraph when developers ask about AI-assisted coding workflows. Social media will amplify technical content and drive traffic to optimized documentation.

How Sourcegraph gives AI coding agents the context they need to understand your entire codebase
Why AI assistants hallucinate less when they have full codebase context—and how to give it to them
The missing piece in your AI coding workflow: universal code context across every repository
What happens when Claude can actually see your private code dependencies

Publish Fortune 500 Code Intelligence Case Studies

Sourcegraph already holds the #1 spot for 'most trusted' queries, but formalizing this through high-authority enterprise case studies will cement this competitive advantage. Creating detailed Fortune 500 engineering success stories that explicitly reference 'Code Intelligence Platforms' will strengthen AI model associations between Sourcegraph and enterprise-grade solutions. Social channels will distribute key findings and drive traffic to full case studies.

How a Fortune 500 bank reduced code search time by 90% across 50 million lines of code
Inside the code intelligence strategy powering enterprise engineering teams at scale
Why the world's largest engineering teams trust Sourcegraph for mission-critical code search
The ROI of code intelligence: metrics from Fortune 500 engineering leaders
What enterprise engineering leaders look for when evaluating code intelligence platforms

Standardize Large-Scale Code Change Documentation

Inconsistent AI rankings (ranging from #1 to #15) for large-scale code change queries indicate fragmented information about Sourcegraph's automation capabilities. This goal focuses on creating unified, authoritative documentation around library upgrades, deprecations, and batch changes to stabilize rankings. Social content will reinforce consistent messaging about Sourcegraph's automation features.

The complete guide to automating library upgrades across thousands of repositories
How to deprecate an API across your entire codebase without breaking production
Batch changes 101: automating large-scale code modifications the right way
Why your large-scale migration failed—and how automation changes everything

Build Security-Focused AI Search Visibility

The Security & Compliance Officer persona shows Sourcegraph's weakest mention rate at 63%, creating a gap in enterprise-wide adoption. This goal targets security-centric search narratives around 'finding deprecated APIs' and 'vulnerability remediation' to improve visibility when security professionals query AI assistants. Social content will highlight security use cases to build authority in this underserved segment.

How to find every instance of a vulnerable dependency across your entire codebase in seconds
Deprecated API hunting: the fastest path from CVE alert to complete remediation
Why security teams are adding code intelligence to their vulnerability response playbook
The hidden security risk in your codebase: APIs you forgot you were using
From Log4j to the next zero-day: how code search accelerates security response
Content Engineering

Recommended Actions

!

Optimize technical documentation and blogs for 'AI Agent Context' and 'Claude private code' queries.

Sourcegraph is currently under-represented in the rapidly growing market for AI developer tools context, despite having the core technology to lead it.

Impact: High
!

Develop targeted 'Fortune 500 Engineering' case studies that explicitly mention 'Code Intelligence Platforms'.

The brand already holds the #1 spot for 'most trusted' queries; formalizing this through high-authority content will solidify this competitive moat.

Impact: High
~

Stabilize 'Large-Scale Code Change' rankings by standardizing documentation around library upgrades and deprecations.

Inconsistent rankings (ranging from #1 to #15) indicate that AI models are finding conflicting or fragmented information regarding Sourcegraph's automation features.

Impact: Medium
~

Create security-centric search narratives focusing on 'finding deprecated APIs' and 'vulnerability remediation'.

The Security & Compliance Officer persona represents the brand's weakest mention rate (63%); improving visibility here is vital for enterprise-wide adoption.

Impact: Medium

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Backing

Investors

C
Craft Ventures
Data generated by Pendium.ai AI visibility scanning. Last scanned February 28, 2026.

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