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Subcategory · AI Citation Index

AI Coding

The AI coding category exhibits mature market structure with clear leaders but limited technical differentiation. Eight major brands all register model_diversity=4, suggesting commoditized underlying capabilities despite varied shortlist rates (32-79%). The 43-point spread between Cursor/GitHub Copilot (79%) and Replit (32%) indicates differentiation occurs primarily through UX, IDE integration, and workflow positioning rather than core AI performance. With 21 consensus brands but only 12 evaluated and 0% prompt coverage, the category suffers from incomplete competitive intelligence that obscures true capability gaps.

160 discovery queries · 231 head-to-heads · refreshed Oct 22, 2026

Discovery stage

The shortlist

Across 160 buyer-style "AI Coding" queries

Most cited · AI CodingLive

Cursor

cursor.com

Cited in 126 of 160 buyer questions for AI Coding — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude
Citation rate
79%
Visibility score12/100
See the full Cursor profile→
22%38%54%70%86%Coverage — share of discovery prompts where the brand surfaces63%69%75%80%86%Engine diversity

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions
Tracked acrossChatGPT,Gemini,Claude

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Score shifts, new entrants, citation gaps — every Monday.

Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1GitHub Copilot
15/15
2Cursor
15/15
3Windsurf
15/15
4Tabnine
14/15
5GitLab
14/15
1Cursor
14/14
2GitHub Copilot
14/14
3Windsurf
14/14
4Codeium
12/14
5JetBrains AI Assistant
12/14
1Cursor
12/12
2GitHub Copilot
12/12
3Codeium
12/12
4Windsurf
12/12
5Replit
11/12
1GitHub Copilot
10/10
2Cursor
10/10
3Tabnine
10/10
4Claude Code
9/10
5Codeium
9/10
1Cursor
9/9
2Claude Code
9/9
3GitHub Copilot
9/9
4Windsurf
9/9
5Codeium
8/9
1GitHub Copilot
9/9
2Cursor
9/9
3Tabnine
9/9
4Claude Code
8/9
5GitLab
8/9
1GitHub Copilot
9/9
2Tabnine
9/9
3Claude Code
9/9
4Cursor
9/9
5codylabs.io
9/9
1GitHub Copilot
6/6
2Cursor
6/6
3Codeium
5/6
4Tabnine
5/6
5Windsurf
4/6
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · ai-coding

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 10/100

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand06121824Evaluation prompts cited inmedian citation ratemedian exposure

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure
Median citation rate 10/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Citation sources

Where AI pulls citations from

1000 citations captured across AI Coding prompt runs.

Vendor pages

436

Product, help, and marketing pages from tracked vendors

Independent sources

400

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top AI Coding questions

Most-cited prompts across the buyer journey. Click any prompt to see the actual URLs AI engines link to.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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See the full AI Coding leaderboard →