Zero of fourteen models named DigiCert Trust Lifecycle Manager first on the direct prompt; zero named AWS Certificate Manager. DigiCert Trust Lifecycle Manager was named by twelve of the fourteen models and AWS Certificate Manager by twelve and DigiCert Trust Lifecycle Manager carries 33 labels and AWS Certificate Manager 24, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the certificate lifecycle management page.
Across every category in the November 2026 Edition, DigiCert Trust Lifecycle Manager and AWS Certificate Manager were named in the same answer eighteen times, of the 100 answers naming DigiCert Trust Lifecycle Manager and the 60 naming AWS Certificate Manager. In those answers AWS Certificate Manager took the first choice two times and DigiCert Trust Lifecycle Manager zero.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | AC | |||||
| Perplexity Sonar | ||||||
| Grok 4.20 | AC | AC | AC | AC | ||
| Mistral Small | AC | |||||
| DeepSeek V4 Flash | AC | AC | ||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | AC | AC | ||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | AC | |||||
| MiniMax M2.5 | AC | |||||
| GPT-6 Luna | AC | |||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for tight budgets: Full suites like AppViewX, Sectigo Certificate Manager, or DigiCert ONE” Grok 4.20 · budget prompt · hard negative
“Had to revoke 83,000 certificates affecting 6,800 customers in 2024” Kimi K2 · negative prompt · hard negative
“Who should avoid it: Organizations with multi-CA strategies” DeepSeek V4 Flash · negative prompt · hard negative
“My default recommendation: DigiCert Trust Lifecycle Manager (TLM)” GPT-6 Luna · paraphrase prompt · first choice
“Existing DigiCert relationship and desire to consolidate public/private trust | DigiCert Trust Lifecycle Manager” Perplexity Sonar · direct prompt · alternative
“adopting DigiCert Trust Lifecycle Manager or Sectigo SCM provides the fastest ROI with minimal friction” Gemini 3.5 Flash · comparative prompt · alternative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid ... Basic cloud provider tools (AWS ACM, Azure Key Vault): ... insufficient for multi-cloud/hybrid setups” MiniMax M2.5 · direct prompt · hard negative
“Cloud-Native / Open-Source Tools (e.g., HashiCorp Vault, AWS Certificate Manager, Smallstep): ... *Caution:* They often lack deep visibility into legacy on-prem infrastructure” Gemini 3.5 Flash · negative prompt · soft negative
“limited discovery outside their platforms and not ideal as a central enterprise CLM for multi-vendor/hybrid setups” Grok 4.20 · comparative prompt · soft negative
“If you are 100% in AWS/Azure/GCP: Use your cloud provider's native tools (AWS Certificate Manager, Azure Key Vault)—it's free or nearly free.” Gemini 3.5 Flash · budget prompt · first choice
“Best if nearly all workloads run on AWS; ... but is less suitable as a cross-environment certificate-management platform.” Perplexity Sonar · paraphrase prompt · alternative
“A cloud-native solution that simplifies the deployment and management of SSL/TLS certificates on AWS infrastructure.” Mistral Small · comparative prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.