Recruiting CRM and sourcing for enterprise buyers
Asked as “candidate sourcing tool”, and as “recruiting CRM”, on behalf of an enterprise B2B company. 40 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
20%
Contested · LinkedIn Recruiter 15%
20Beamery15LinkedIn Recruiter15SeekOut50others
20% of first choices, contested.
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.
The 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
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
Lever vs PinLever vs hireEZLever vs LinkedIn RecruiterLever vs SeekOutGem vs ManatalGem vs Zoho RecruitGem vs PinGem vs hireEZGem vs LinkedIn RecruiterGem vs SeekOutManatal vs Zoho RecruitManatal vs PinManatal vs hireEZManatal vs LinkedIn RecruiterManatal vs SeekOutZoho Recruit vs PinZoho Recruit vs hireEZZoho Recruit vs LinkedIn RecruiterZoho Recruit vs SeekOutPin vs hireEZPin vs LinkedIn RecruiterPin vs SeekOuthireEZ vs LinkedIn RecruiterhireEZ vs SeekOutLinkedIn Recruiter vs SeekOut
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
06Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Beamery20%
Beamery20%02SeekOut15%
SeekOut15%03LinkedIn Recruiter15%
LinkedIn Recruiter15%04Gem10%
Gem10%05Eightfold AI5%
Eightfold AI5%06hireEZ5%
hireEZ5%What they warned about
One of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and MiniMax M2.5 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.
LinkedIn Recruiter42%
11 of 26 labels negative · 8 of 12 models · 2 hard negative
“Avoid LinkedIn Recruiter Corporate (~$900+/user/month)” Qwen 3.7 Flash, budget prompt
hireEZ18%
3 of 17 labels negative · 3 of 12 models · 1 hard negative
“What to AVOID for Predictable Costs ... HireEZ | ~$500-800/user/month” Kimi K2, budget prompt
Gem10%
3 of 30 labels negative · 3 of 12 models
“Why it might fail you: While Gem is great for recruiters sending cold emails, it often lacks the sophisticated internal mobility features” Qwen 3.7 Flash, paraphrase prompt
Apollo.io67%
2 of 3 labels negative · 2 of 12 models · 1 hard negative
“Avoid ... Credit-based tools (e.g., Apollo, Lusha)” Qwen 3.7 Flash, budget prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
64 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. 1004 links across 364 sites, every framing counted. Ranked by the number of answers carrying the site or page.
28 answers · 30 citations · 11 models
vendor site · Pin26 answers · 62 citations · 10 models
vendor site · Metaview25 answers · 27 citations · 11 models
vendor site · Leonar21 answers · 24 citations · 8 models
17 answers · 22 citations · 8 models
vendor site · Intervue17 answers · 17 citations · 10 models
vendor site · Gartner15 answers · 28 citations · 10 models
vendor site · Gem14 answers · 16 citations · 8 models
vendor site · Guideflow13 answers · 15 citations · 10 models
vendor site · Juicebox13 answers · 15 citations · 8 models
vendor site · Recruiterflow13 answers · 15 citations · 7 models
vendor site · Noon10 answers · 20 citations · 6 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 · 11 models
16 answers · 8 models
14 answers · 10 models
13 answers · 7 models
13 answers · 6 models
12 answers · 7 models
12 answers · 8 models
11 answers · 8 models
10 answers · 9 models
9 answers · 9 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best candidate sourcing tool”, “candidate sourcing tool”, “sourcing tools”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Beamery beamery.com | 20% | 262 | 1,000 | 21 | 12,866 | 0 | ||
| SeekOut seekout.com | 15% | 153 | 6,600 | 52 | 5,796 | 1 | ||
| LinkedIn parent site LinkedIn Recruiter 15% | 15% | 108 | 11,100,000 | 77,031 | ||||
| Gem gem.com | 10% | 182 | 246,000 | 225,116 | 16,291 | 10 | ||
| Lever lever.co | 8% | 221 | 60,500 | 24,663 | 189,552 | $657 | 7 | |
| Eightfold eightfold.ai Eightfold AI 5% | 5% | 520 | 4,400 | 187 | 53,360 company | 17 | ||
| hireEZ hireez.com | 5% | 174 | 2,400 | 43 | 3,058 | 35 | ||
| Avature avature.net | 5% | 106 | 2,900 | 60 | 541,149 | 44 | ||
| SmartRecruiters smartrecruiters.com | 5% | 168 | 9,900 | 194 | 272,094 | 0 | ||
| Workable workable.com | 5% | 332 | 14,800 | 520 | 698,499 | $14,562 | 77 | 2 |
Google's top ten for the three searches hold 18 sites; 4 of them are among the sites the models cited here (juicebox.ai, metaview.ai, pin.com, selectsoftwarereviews.com). The first result for “best candidate sourcing tool” is hiretruffle.com.
How 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.ShowHide
How 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.
ShowHideModelDirect“What is the best candidate sourcing tool for an enterprise B2B company?”Paraphrase“Which recruiting CRM would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade sourcing tools and how do they differ?”Budget-constrained“What is the best candidate sourcing tool 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 a candidate sourcing tool. What should we look at?”Negative“Which sourcing tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceBeameryChangedno first choiceEightfold AIno first choicenothing named
Two alternatives
Avature, SmartRecruitersOne alternative
LinkedIn RecruiterGPT-5.4 miniLinkedIn RecruiterAvatureChangedno first choiceSeekOutagainst: LinkedIn Recruiterno first choicenothing named
Three alternatives
Eightfold AI, Phenom, iCIMSTwo alternatives
Beamery, Salesforce Recruiting CRMGemini 3.5 FlashGemBeameryChangedGem, hireEZEightfold AIagainst: Gem, LinkedIn Recruiter, SeekOutno first choicenothing named
Three alternatives
Eightfold AI, SeekOut, hireEZFour alternatives
Avature, Eightfold AI, Gem, PhenomThree alternatives
Eightfold AI, LinkedIn Recruiter, SeekOutThree alternatives
GoPerfect, Pin, TeamtailorPerplexity SonarSeekOutBeameryChangedno first choiceAvatureagainst: LinkedIn Recruiterno first choiceagainst: Apollo.io, ZoomInfo
Three alternatives
Cognism, Gem, HumanlyOne alternative
AvatureTwo alternatives
Gem, SeekOutGrok 4.20LinkedIn Recruiteragainst: BeameryBeameryChangedno first choiceLeveragainst: Greenhouse, LinkedIn Recruiter, SeekOut, hireEZNoonagainst: LinkedIn Recruiter, SAP, SAP Ariba, ZoomInfo
Two alternatives
Gem, hireEZFour alternatives
Eightfold AI, Lever, Oracle Fusion Recruiting, iCIMSTwo alternatives
Workday Recruiting, iCIMSFour alternatives
Gem, Pin, SeekOut, hireEZMistral SmallSeekOutBeameryChangedSAP AribaGem, LinkedIn Recruiterno first choicenothing named
Four alternatives
Eightfold AI, Findem, Gem, hireEZTwo alternatives
Bullhorn, GemOne alternative
Coupa SourcingTwo alternatives
Eightfold AI, FindemDeepSeek V4 FlashLinkedIn Recruiter, SeekOutiCIMSChangedagainst: SmartRecruitersno first choiceagainst: SAP AribaWorkableagainst: JazzHR, LinkedIn Recruiter, Loxono first choiceagainst: Oracle, SAP
Two alternatives
Gem, hireEZFour alternatives
Gem, Greenhouse, Lever, Workday RecruitingTwo alternatives
Gem, SeekOutLlama 4 Maverickno first choiceno first choiceHeldno first choiceGemno first choicenothing named
Qwen 3.7 FlashLinkedIn RecruiterBeameryChangedagainst: Bullhorn, Gemno first choiceGemagainst: Apollo.io, ContactOut, Fetcher, LinkedIn Recruiter, Lushano first choicenothing named
Six alternatives
Gem, Hireful, JobDiva, SeekOut, Sourcery, Sovren / Jibe.ioTwo alternatives
Avature, iCIMSTwo alternatives
Manatal, SeekOutKimi K2SeekOut, hireEZagainst: LinkedIn RecruiterLever, SmartRecruitersChangedCoupa SourcingWorkday Recruitingagainst: Beamery, Eightfold AI, LinkedIn Recruiter, hireEZno first choiceagainst: LinkedIn Recruiter, Noon, Pinnothing named
One alternative
GemFour alternatives
Beamery, Gem, Workday Recruiting, iCIMSFive alternatives
GEP SMART, Ivalua, Jaggaer, SAP Ariba, ZycusFour alternatives
100Hires, Oracle HCM Cloud, Pin, SAP SuccessFactors RecruitingThree alternatives
Gem, SeekOut, hireEZGLM 4.7 FlashXhireEZagainst: LinkedIn RecruiterBeameryChangedSeekOutLinkedIn Recruiteragainst: Findem, Gem, hireEZno first choiceagainst: Bullhorn, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Three alternatives
Gem, Pin, SeekOutThree alternatives
Bullhorn, Greenhouse, Oracle Fusion RecruitingSix alternatives
Eightfold AI, Gem, Hired, LinkedIn Recruiter, Mokka, NoonOne alternative
ManatalMiniMax M2.5SeekOutBeameryChangedno first choiceLever, SmartRecruiters, Workableno first choicenothing named
Three alternatives
Eightfold AI, Gem, LinkedIn RecruiterThree alternatives
Greenhouse, Metaview, iCIMSOne alternative
Workday RecruitingBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
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 21:44 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 17:54 | yes | 3 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:43 | yes | 5 | 20 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 19:54 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:20 | yes | 40 | 18 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:56 | yes | 8 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:50 | yes | 19 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:07 | yes | 8 | 4 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:34 | no | 0 | 33 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:26 | yes | 10 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:33 | yes | 13 | 98 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:21 | yes | 5 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:10 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:05 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:01 | yes | 17 | 53 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 19:56 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:30 | yes | 40 | 19 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:05 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:08 | yes | 15 | 17 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:39 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:45 | yes | 13 | 68 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:13 | yes | 20 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:15 | yes | 25 | 61 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:27 | yes | 5 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:11 | yes | 15 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:39 | yes | 4 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 21:58 | yes | 10 | 47 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 18:38 | yes | 20 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:20 | yes | 24 | 16 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:11 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 18:29 | yes | 19 | 23 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:40 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:07 | yes | 5 | 50 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:55 | yes | 17 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:12 | yes | 10 | 42 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:05 | yes | 9 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:56 | yes | 18 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:01 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:06 | yes | 27 | 68 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 19:10 | yes | 20 | 6 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:15 | yes | 50 | 24 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:50 | yes | 7 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 19:39 | yes | 25 | 62 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:22 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 18:21 | yes | 8 | 82 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:47 | yes | 30 | 50 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:45 | yes | 29 | 132 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:11 | yes | 20 | 60 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 20:24 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:04 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:27 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 18:53 | yes | 20 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:48 | yes | 17 | 16 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:00 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 17:58 | yes | 27 | 33 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:36 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:04 | yes | 10 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:33 | yes | 14 | 59 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:52 | yes | 14 | 71 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:30 | no | 0 | 54 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:00 | yes | 26 | 14 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:37 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:04 | yes | 15 | 56 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 20:15 | yes | 20 | 7 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:51 | yes | 37 | 16 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 18:59 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:48 | yes | 19 | 21 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 18:11 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:41 | no | 0 | 28 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:27 | yes | 25 | 39 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 20:54 | yes | 27 | 69 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:53 | yes | 20 | 70 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Apollo read as Apollo.io
Coupa read as Coupa Sourcing
Coupa Strategic Sourcing read as Coupa Sourcing
Eightfold read as Eightfold AI
LeverTRM read as Lever
Oracle Fusion Cloud Recruiting read as Oracle Fusion Recruiting
SAP SuccessFactors read as SAP SuccessFactors Recruiting
Workday read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
Arbi
Basware
Clearbit
Globality
Hireful
Kodiak Hub
Salesforce Recruiting CRM
Seeking Alpha
Sourcery
Sovren / Jibe.io
Zycus Merlin
Discontinued, still offered
No shut-down product was recommended here.