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Web Hosting

Cycle 2026-08-01run #71

The Web Hosting AI-visibility leaderboard ranks 14 brands by how often Perplexity, ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google) mention and recommend them across a fixed panel of realistic buyer questions, re-measured every monthly cycle. Kinsta currently leads with a global visibility score of 35.8.

No statistically significant movement since the last run — all 14 tracked brands are stable within their confidence intervals. Muted hollow arrows in the standings below show drift that stayed within statistical noise.

#BrandGlobal scorePer model
1Kinsta35.8 ±2.8△ +1.1
perplexity17
openai38
anthropic26
google38
2Hostinger34.2 ±2.7△ +0.1
perplexity45
openai29
anthropic31
google50
3WP Engine33.8 ±2.7△ +1.5
perplexity14
openai35
anthropic28
google37
4SiteGround32.1 ±2.7△ +0.0
perplexity30
openai31
anthropic31
google37
5Bluehost29.9 ±2.4△ +0.1
perplexity28
openai29
anthropic36
google30
6GoDaddy26.9 ±2.1▽ −0.9
perplexity28
openai26
anthropic29
google29
7Cloudways26.4 ±2.6△ +0.8
perplexity22
openai27
anthropic19
google28
8Namecheap22.3 ±2.5▽ −0.1
perplexity18
openai21
anthropic21
google27
9DreamHost21.0 ±2.3△ +0.3
perplexity16
openai21
anthropic16
google22
10GreenGeeks16.7 ±4.5▽ −0.6
perplexity21
openai18
anthropic14
google12
11IONOS15.6 ±3.0▽ −0.4
perplexity22
openai12
anthropic15
google27
121InMotion Hosting13.6 ±3.6▽ −0.1
perplexity12
openai14
anthropic12
google11
131HostGator13.5 ±1.5▽ −0.2
perplexity11
openai13
anthropic16
google17
14A2 Hosting10.9 ±1.7▽ −0.0
perplexity13
openai11
anthropic11
google11

The domains search-backed assistants relied on when answering this industry's questions (2026-08-01). Getting featured on these is the most direct lever on AI visibility.

DomainAnswers citing it
reddit.com279
youtube.com235
hostinger.com144
cybernews.com124
techradar.com110
websiteplanet.com107
hostingadvice.com98
forbes.com88
godaddy.com72
gizmodo.com61

Head-to-head: Kinsta vs Hostinger · Kinsta vs WP Engine · Hostinger vs WP Engine

Global score = market-share-weighted blend of per-model visibility scores (0–100). Methodology

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