Incident management and on-call for enterprise buyers
Asked as “incident management platform”, and as “on-call scheduling and alerting tool”, on behalf of an enterprise B2B company. 42 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
01The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the four products at 0%, ordered by negative rate
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01PagerDuty50%
PagerDuty50%02incident.io17%
incident.io17%03Rootly10%
Rootly10%04ServiceNow ITSM5%
ServiceNow ITSM5%05xMatters2%
xMatters2%06ServiceNow2%
ServiceNow2%07Jira Service Management0%
Jira Service Management0%08Splunk On-Call0%
Splunk On-Call0%09FireHydrant0%
FireHydrant0%10Opsgenie0%
Opsgenie0%02What they warned about
Six of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, DeepSeek V4 Flash, Llama 4 Maverick and GLM 4.7 FlashX changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Opsgenie68%
25 of 37 labels negative · 12 of 12 models · 19 hard negative
“**Opsgenie**: it is explicitly described as reaching **end-of-life in April 2027**, which makes it a risky long-term bet for a large enterprise.” Perplexity Sonar, negative prompt
PagerDuty25%
16 of 64 labels negative · 11 of 12 models · 2 hard negative
“Platforms to Avoid If You Want Predictable Costs ... PagerDuty is notorious for unpredictable billing.” Gemini 3.5 Flash, budget prompt
ServiceNow26%
5 of 19 labels negative · 5 of 12 models · 1 hard negative
“legacy installations of ServiceNow, BMC Helix, or traditional ticketing suites... Why to avoid this approach... avoid using it as your primary alerting and real-time response interface” Gemini 3.5 Flash, negative prompt
incident.io15%
6 of 41 labels negative · 5 of 12 models
“one source says **incident.io isn’t suitable** for enterprises needing **ITSM depth** or advanced SRE automation” Perplexity Sonar, negative prompt
03What they cite
Citations exist only for the models that return a source list: twelve of the twelve in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
66 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 846 links across 173 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · Rootly41 answers · 115 citations · 10 models
vendor site · incident.io39 answers · 109 citations · 9 models
vendor site · Xurrent29 answers · 33 citations · 10 models
vendor site · Augment Code26 answers · 26 citations · 10 models
vendor site · Hyperping25 answers · 31 citations · 10 models
vendor site · PagerDuty24 answers · 39 citations · 9 models
vendor site · ComplyJet20 answers · 20 citations · 10 models
17 answers · 17 citations · 10 models
vendor site · ITOC36015 answers · 15 citations · 7 models
vendor site · Expert Insights14 answers · 14 citations · 9 models
vendor site · InvGate13 answers · 14 citations · 6 models
vendor site · Atlassian11 answers · 15 citations · 5 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
26 answers · 10 models
24 answers · 10 models
21 answers · 9 models
21 answers · 9 models
20 answers · 10 models
17 answers · 9 models
17 answers · 10 models
16 answers · 8 models
14 answers · 9 models
13 answers · 9 models
04How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best incident management platform for an enterprise B2B company?”Paraphrase“Which on-call scheduling and alerting tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade incident management platforms and how do they differ?”Budget-constrained“What is the best incident management platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an incident management platform. What should we look at?”Negative“Which incident management platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Rootlyagainst: OpsgeniePagerDutyChangedagainst: OpsgeniePagerDutyHyperping, Squadcastagainst: Better Stack, PagerDutyno first choiceagainst: FireHydrant, Grafana IRM, Opsgenie, PagerDuty
Three alternatives
Jira Service Management, PagerDuty, ServiceNowTwo alternatives
Grafana IRM, RootlyFour alternatives
BMC Helix ITSM, Rootly, ServiceNow, incident.ioOne alternative
ServiceNowGPT-5.4 miniPagerDutyPagerDutyHeldPagerDutyagainst: Atlassian Jira Service Management / Opsgenie lineagexMattersagainst: Opsgenie, Splunk On-Callno first choicenothing named
Two alternatives
ServiceNow ITSM, xMattersFour alternatives
Jira Service Management, Opsgenie, Splunk On-Call, xMattersTwo alternatives
ServiceNow ITSM, xMattersOne alternative
PagerDutyGemini 3.5 Flashincident.ioagainst: OpsgeniePagerDutyChangedPagerDuty, incident.ioagainst: FireHydrant, Grafana IRM, Opsgenieincident.ioagainst: Opsgenie, PagerDuty, ServiceNow ITSMRootly, incident.ioagainst: Opsgenie, PagerDutyagainst: AWS CloudWatch, Azure Monitor, BMC Helix ITSM, Google Cloud Operations, Nagios, Prometheus Alertmanager, ServiceNow, Zabbix
Two alternatives
PagerDuty, RootlyFour alternatives
Jira Service Management, Opsgenie, Rootly, incident.ioTwo alternatives
Rootly, ServiceNowOne alternative
RootlyOne alternative
FireHydrantPerplexity SonarServiceNow ITSMPagerDutyChangedPagerDutyincident.ioagainst: PagerDuty, ServiceNowno first choiceagainst: Opsgenie, Rootly, incident.io
Two alternatives
PagerDuty, RootlyTwo alternatives
Rootly, incident.ioFour alternatives
Jira Service Management, Rootly, ServiceNow, incident.ioGrok 4.1 FastPagerDutyPagerDutyHeldPagerDutyServiceNowagainst: PagerDuty, incident.ioPagerDutyagainst: Opsgenieagainst: Opsgenie, PagerDuty, ServiceNow ITSM, Splunk On-Call
Three alternatives
Rootly, ServiceNow ITSM, incident.ioThree alternatives
Opsgenie, Splunk On-Call, xMattersFive alternatives
Jira Service Management, Rootly, ServiceNow ITSM, Splunk On-Call, incident.ioTwo alternatives
Freshservice, Jira Service ManagementFour alternatives
FireHydrant, Freshservice, Rootly, incident.ioMistral SmallPagerDutyPagerDutyHeldPagerDutyagainst: Better Stack, OpsgenieHyperpingagainst: PagerDuty, Rootly, incident.iono first choiceagainst: Jira Service Management, Opsgenie, PagerDuty, ServiceNow
Two alternatives
Jeli, RootlyTwo alternatives
All Quiet, Grafana IRMTwo alternatives
Rootly, incident.ioDeepSeek V4 Flashincident.ioagainst: OpsgeniePagerDutyChangedagainst: Opsgenie, Splunk On-CallPagerDutyagainst: Opsgenie, Splunk On-CallPagerDutyagainst: ServiceNow ITSMno first choiceagainst: AlertOps, BigPanda, Jira Service Management, Moogsoft, Opsgenie, PagerDuty, Splunk On-Call
Three alternatives
PagerDuty, Rootly, ServiceNow ITSMOne alternative
Jira Service ManagementFive alternatives
Jira Service Management, Rootly, ServiceNow, incident.io, xMattersOne alternative
incident.ioLlama 4 MaverickPagerDuty, Rootlyno first choiceChangedno first choiceHyperpingagainst: Better Stack, Rootly, Squadcast, incident.iono first choiceagainst: Opsgenie, PagerDuty
One alternative
PagerDutyQwen 3.7 FlashPagerDutyPagerDutyHeldPagerDutyagainst: OpsgenieRootly, incident.ioagainst: PagerDuty, ServiceNow ITSMno first choiceagainst: Jira, Remedy, ServiceNow
Four alternatives
FireHydrant, Grafana IRM, Opsgenie, Splunk On-CallTwo alternatives
Opsgenie, Splunk On-CallThree alternatives
Rootly, ServiceNow ITSM, incident.ioOne alternative
Jira Service ManagementKimi K2PagerDutyagainst: OpsgeniePagerDutyHeldPagerDutyagainst: Moogsoft, OpsgeniePagerDuty, ServiceNow ITSMagainst: Moogsoftno first choiceagainst: Jira Service Management, Opsgenie, PagerDuty, ServiceNow
Two alternatives
Rootly, ServiceNow ITSMTwo alternatives
Opsgenie, xMattersSix alternatives
BigPanda, Jira Service Management, Rootly, ServiceNow ITSM, incident.io, xMattersOne alternative
xMattersGLM 4.7 FlashXZendutyagainst: OnPage, Opsgenie, Spike.shPagerDutyChangedno first choiceagainst: Opsgenieincident.ioagainst: FireHydrant, ITOC360, PagerDuty, Rootlyno first choicenothing named
Two alternatives
PagerDuty, incident.ioSix alternatives
FireHydrant, Grafana IRM, Rootly, ServiceNow On‑Call, Splunk On-Call, incident.ioFive alternatives
Datadog On-Call, Hyperping, Jira Service Management, ServiceNow, Splunk On-CallMiniMax M2.5PagerDutyPagerDutyHeldPagerDutyagainst: incident.ioIncidentCoreagainst: PagerDuty, incident.iono first choiceagainst: Opsgenie, PagerDuty
Three alternatives
Jira Service Management, Rootly, ServiceNowTwo alternatives
Opsgenie, Splunk On-CallFour alternatives
Jira Service Management, Rootly, ServiceNow, Xurrent IMRThree alternatives
FireHydrant, ServiceNow, SolarWinds Incident ResponseBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
05The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Seventy-two rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 10:04 | yes | 18 | 12 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 10:53 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 12:07 | yes | 16 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 09:44 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-09-17 12:55 | yes | 18 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 09:30 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 11:04 | yes | 19 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 14:00 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 13:18 | no | 0 | 40 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 13:00 | yes | 14 | 28 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 10:37 | yes | 15 | 81 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 14:14 | yes | 10 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 13:30 | yes | 18 | 11 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 11:57 | yes | 5 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 09:38 | yes | 11 | 30 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 12:47 | yes | 19 | 5 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-09-17 12:12 | yes | 37 | 16 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 12:49 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 12:08 | yes | 20 | 19 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 13:11 | yes | 5 | 4 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 13:57 | yes | 5 | 17 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 10:11 | yes | 9 | 50 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 12:39 | yes | 19 | 28 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 11:46 | no | 0 | 46 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 13:00 | yes | 26 | 19 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 14:02 | yes | 5 | 13 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 13:53 | yes | 10 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 10:16 | yes | 20 | 8 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-09-17 10:04 | yes | 30 | 18 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 11:41 | yes | 9 | 11 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 13:03 | yes | 20 | 28 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 11:24 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 10:43 | yes | 5 | 24 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 10:31 | yes | 19 | 52 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 10:56 | yes | 13 | 94 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 13:50 | yes | 5 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 12:32 | yes | 14 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 12:09 | yes | 5 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 11:50 | yes | 19 | 36 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 10:40 | yes | 20 | 7 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-09-17 09:36 | yes | 41 | 18 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 13:37 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 12:44 | yes | 24 | 54 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 10:51 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 09:26 | yes | 5 | 20 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 11:14 | yes | 29 | 82 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 13:39 | yes | 12 | 33 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 13:53 | yes | 17 | 85 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 11:33 | yes | 17 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 12:00 | yes | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 14:06 | yes | 4 | 24 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 12:07 | yes | 20 | 9 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-09-17 11:53 | yes | 13 | 11 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 12:13 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 12:33 | yes | 9 | 27 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 10:08 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 12:20 | no | 0 | 40 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 12:24 | yes | 14 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 11:21 | yes | 14 | 106 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 10:25 | yes | 5 | 53 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 10:55 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 12:00 | yes | 1 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 09:35 | yes | 14 | 34 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 12:43 | yes | 20 | 8 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-09-17 13:46 | yes | 23 | 15 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 10:17 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 11:08 | yes | 28 | 26 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 10:21 | yes | 5 | 5 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 09:52 | no | 0 | 48 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 12:22 | yes | 29 | 36 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 11:41 | yes | 12 | 91 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 13:24 | yes | 5 | 68 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
Category-scoped readings
BMC Helix read as BMC Helix ITSM
ServiceNow IT Service Management read as ServiceNow ITSM
ServiceNow IT Service Management (ITSM) read as ServiceNow ITSM
Unresolved, counted raw
Atlassian Jira Service Management / Opsgenie lineage
Datadog Incident Management
IncidentCore
Prometheus Alertmanager
ServiceNow On‑Call
SolarWinds Incident Response
War Room
Discontinued, still offered
No shut-down product was recommended here.