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September 2026 snapshot · 72 AI answers Leader emerging

Technical Interviewing & Assessment: AI Visibility Ranking

Platforms for coding interviews, assessments, and engineering hiring. Right now, HackerRank is the brand AI assistants recommend most, with a Visibility Score of 67 and the #1 spot in 28% of answers. Head-to-head: HackerRank vs CoderPad →

These rankings are measured from what the three models know from training, not a live web search. When the models DO search the web, see which sources they cite. Methodology.

HackerRank and CoderPad trade blows while the field watches.

HackerRank leads overall at a score of 66.8 but CoderPad wins the first-pick battle at 35% of answers versus HackerRank's 28%, suggesting buyers who encounter CoderPad tend to choose it. The gap between second and third place is nearly 18 points, so CodeSignal, Codility, and Karat are competing for limited secondary mentions rather than genuine consideration. The most striking split is Claude's treatment of Codility, scoring it 54.6 while ChatGPT gives it only 17, a divergence that could matter to marketers trying to optimize for specific models.

AI-generated analysis of the September 2026 measurements.

# Brand Visibility Score Trend (3 mo) Mention rate Avg. position #1 pick rate Models
1 HackerRank
67
±3.9
Jul 2026: 70.8 · Aug 2026: 69 · Sep 2026: 66.8 flat 75% 2.1 28% ChatGPT #1 Claude #1 Gemini #2
2 CoderPad
60
±4.2
Jul 2026: 66 · Aug 2026: 64.3 · Sep 2026: 59.7 flat 68% 2.2 35% ChatGPT #3 Claude #2 Gemini #1
3 CodeSignal
42
±5.9
Jul 2026: 45 · Aug 2026: 54.3 · Sep 2026: 42.2 ▼ 12 53% 3.0 3% ChatGPT #2 Claude #6 Gemini #3
4 Codility
32
±5.7
Jul 2026: 34.2 · Aug 2026: 35 · Sep 2026: 31.9 flat 42% 3.3 0% ChatGPT #5 Claude #3 Gemini #6
5 Karat
29
±3.6
Jul 2026: 23.5 · Aug 2026: 19.9 · Sep 2026: 28.6 ▲ 9 47% 4.9 0% ChatGPT #4 Claude #7 Gemini #5
6 LeetCode
18
±4.2
Jul 2026: 19.4 · Aug 2026: 20.1 · Sep 2026: 17.5 flat 19% 2.0 10% ChatGPT #6 Claude #5 Gemini #11
7 interviewing.io
16
±4.2
Jul 2026: 18.1 · Aug 2026: 21 · Sep 2026: 15.7 flat 28% 5.4 1% ChatGPT #12 Claude #4 Gemini #10
8 Byteboard
15
±4.9
Jul 2026: 14.2 · Aug 2026: 14.6 · Sep 2026: 14.7 flat 21% 3.9 3% ChatGPT #10 Claude #9 Gemini #4
9 TestGorilla
8
±2.6
Jul 2026: 6.4 · Aug 2026: 8.3 · Sep 2026: 7.9 flat 15% 5.8 0% ChatGPT #8 Claude #8 Gemini #12
10 Filtered
5
±3.2
Jul 2026: 0.7 · Sep 2026: 4.6 flat 8% 5.5 0% ChatGPT Claude Gemini #7
11 CodeSubmit
4
±0.3
Jul 2026: 3.2 · Aug 2026: 2.4 · Sep 2026: 4 ▲ 2 6% 3.8 3% ChatGPT Claude Gemini #8
12 Coderbyte
4
±3.1
Jul 2026: 1.7 · Aug 2026: 1.8 · Sep 2026: 3.9 flat 8% 6.3 0% ChatGPT #11 Claude #10 Gemini #13
13 NeetCode
4
±0
Jul 2026: 3.6 · Aug 2026: 2.1 · Sep 2026: 3.8 ▲ 2 4% 2.0 0% ChatGPT #7 Claude Gemini
14 Codeforces
4
±1.7
Jul 2026: 2.6 · Aug 2026: 1.4 · Sep 2026: 3.6 flat 6% 4.5 0% ChatGPT #9 Claude #11 Gemini
15 Woven
4
±3.1
Jul 2026: 3.1 · Aug 2026: 5.4 · Sep 2026: 3.6 flat 6% 4.5 0% ChatGPT Claude Gemini #9

The ± under each score is the reliability band: how much the number would move if we re-ran the identical measurement. It is tight because each prompt is sampled multiple times. It is not the same as how much the ranking depends on which prompts we ask — a separate, wider figure shown on hover.

Just below the cutoff: VS Code Live Share (3.6), Miro (3.3), Excalidraw (3.2), CodeSandbox (3.2), Greenhouse (3.1). 60 brands were scored in this category; the leaderboard shows the top 15.

Visibility Score: position-weighted presence across all measured answers, 0 to 100. A score of 100 means the brand was the first recommendation in every answer. Every point in a trend line is a live monthly measurement; there is no modeled or backfilled history. Full methodology.

Openness 33/100: the share of this category's recommendation weight not held by the leader.

Compare brands in Technical Interviewing & Assessment head-to-head →  ·  Explore the prompt tree →

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Do the models agree?

Per-model Visibility Scores for the top 10. A long gray bar means the three assistants disagree about the brand. Hover a row for exact values.

ChatGPT Claude Gemini
0 25 50 75 100 Visibility Score · 0 = never mentioned, 100 = always the first recommendation HackerRank CoderPad CodeSignal Codility Karat LeetCode interviewing.io Byteboard TestGorilla Filtered

Where they land in the answer

When a brand is mentioned, where does it appear? Box shows the middle 50% of positions, the thick line is the median, whiskers are the extremes. Hover a row for the detail.

1 2 3 4 5 6 7 8 9 10 11 12 Position in the answer · 1 = the first product recommended HackerRank CoderPad CodeSignal Codility Karat LeetCode interviewing.io Byteboard TestGorilla Filtered

What each model recommends first

ChatGPT

gpt-5.4

1 HackerRank
61
2 CodeSignal
59
3 CoderPad
57
4 Karat
40
5 Codility
17

Claude

claude-sonnet-4-6

1 HackerRank
77
2 CoderPad
60
3 Codility
55
4 interviewing.io
36
5 LeetCode
30

Gemini

gemini-3-flash-preview

1 CoderPad
63
2 HackerRank
62
3 CodeSignal
45
4 Byteboard
35
5 Karat
28

The questions we asked

Each model answered every prompt 3 times in September 2026. Prompts are brand-neutral so no vendor gets seeded into the question.

  1. Best overall
    What's the best platform for conducting technical interviews? See who wins it →
  2. Use-case fit
    We need collaborative coding interviews with playback for our hiring loop. What should we use? See who wins it →
  3. Top tools in 2026
    What are the top coding assessment platforms in 2026? See who wins it →
  4. Startup & small team
    Which technical screening tool is best for a startup hiring its first engineers? See who wins it →
  5. Enterprise pick
    Which technical interview platform should a large enterprise standardize on, considering security, compliance, and scale? See who wins it →
  6. Feature-led ask
    I want realistic pair-programming interviews instead of whiteboard puzzles. What do you recommend? See who wins it →
  7. If you could pick one
    If you could only pick one technical interview platform, which one and why? See who wins it →
  8. Budget & alternatives
    What are the best options for anonymous or bias-reduced technical interviews? See who wins it →