Independent research. A clearer hosting perspective.
HostingConsensus Index
Independent infrastructure research

Find the signal.
Build on consensus.

Which hosting providers do leading AI platforms recommend? Compare their answers, examine the evidence, and build a shortlist around your actual requirements.

Documented responsesOpen evidenceSpecific use cases
Multiple systems. One defined question.
ChatGPTClaudeGeminiPerplexityGrokDeepSeekKimi
75Published consensus studies
651Provider fit reviews
5Research categories
7AI platforms represented
Explore the stack

Different workloads.
Different comparisons.

Start with the hosting category that fits what you are building.

All consensus studies
A repeatable research process

From answers
to evidence.

A recommendation is only useful when you understand the question, the context, and the limits.

How the index works
01

Define the workload

A specific question sets the context for every participating AI platform.

02

Measure agreement

Usable responses show which providers surface, where they appear, and how consistently.

03

Publish the record

Read the findings with the source evidence, platform coverage, research date, and limitations.

The research desk

Questions worth investigating.

Recent studies across our infrastructure and website research.

Provider fit reviews
Human context. Independent measurement.

Clear explanations.
Traceable findings.

AI agreement is a signal to investigate, not proof of performance. We keep source evidence, subject-matter review, and ranking calculations distinct.

Our independence policy
Kaushal Malkan, editorial reviewer at Hosting Consensus Index

Kaushal Malkan

Editorial Reviewer

Kaushal brings over nine years of experience building and growing online businesses. He founded TechWhoop and co-founded Cannibals Media, helping scale more than 30 niche websites. As COO at CiteWorks Studio, he leads operations across SEO, content strategy, and AI search visibility. He reviews hosting research for website fit, plan details, pricing, and supporting evidence. His editorial review helps readers understand recommendations without influencing consensus rankings.

Meet our reviewer
Read the context

Know what the numbers mean.

Understand consensus

How platform agreement, recommendation position, and category scores are measured.

Read the explanation

Check the boundaries

What this research can establish, and which claims require separate verification.

Read the explanation

Evaluate performance

The difference between an AI recommendation, a service promise, and measured uptime.

Read the explanation