Enterprise and multi-brand
Track multiple brands and markets in one account, keep each tenant's data separate, and show the answer text and sources behind every number you report.
most trusted enterprise cybersecurity vendors 2026
Among enterprise security vendors, these are the most frequently cited:
Your flagship brand: not mentioned
Analyst summaries and two trade titles produced this answer. Your flagship is well cited in its regional market but absent from the sources this question draws on.
Same question, five engines
Named by 1 of 5. One blended score would report a number that is true of no engine here, which is why each engine is kept separate.
Metrics are computed from stored runs, and each one can be traced back to the answers that produced it — the response text, the date, the engine and the sources cited.
Data is scoped per tenant, and access to a brand is checked on every request rather than assumed from the session.
A published Master Services Agreement and a security overview exist for procurement to read, rather than being assembled during the deal.
| Brand / market | ChatGPT | Perplexity | |
|---|---|---|---|
| Flagship – EU | 47% | 52% | 44% |
| Flagship – US | 0% | 8% | 0% |
| Sub-brand – EU | 22% | 26% | 19% |
| Acquired brand | 0% | 0% | 3% |
Each number opens to the answers behind it — the reply, the date, the engine and the sources cited — so a board slide can be defended line by line.
Each brand is its own asset with its own topics, competitors and history.
Read any metric per brand, per topic and per engine, and compare against the competitor set defined for each.
Export the rows behind any panel when a number needs to be defended.
Start with your brand website, review the generated measurement setup, and see the prompts, engines, competitors, and sources behind the first report.
Analyze My Brand