Talent intelligence · October 2026 Edition
Eightfold AI vs SeekOut
One of fourteen models named Eightfold AI first on the direct prompt; one named SeekOut. Both were named by all fourteen models and Eightfold AI carries 59 labels and SeekOut 31, so the shares are not directly comparable.
Named in fourteen categories this edition.
Named in five categories this edition.
First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate54%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 13; printed, not drawn.
Labels5931A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Eightfold AI reading right to left. Rank and label count are printed, not drawn.Gem was named alongside these two in nine of the fourteen direct answers. Pin vs Eightfold AI · Pin vs SeekOut · Gem vs Eightfold AI
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 talent intelligence page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Eightfold AIFirst choices, of fourteen modelsSeekOut
Direct115 against Eightfold AI
Paraphrase307 against Eightfold AI
Comparative80
Budget-constrained006 against Eightfold AI · 1 against SeekOut
Scale-constrained002 against Eightfold AI
Negative0012 against Eightfold AI · 2 against SeekOut
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, Eightfold AI and SeekOut were named in the same answer 141 times, of the 567 answers naming Eightfold AI and the 224 naming SeekOut. In those answers SeekOut took the first choice twelve times and Eightfold AI forty-four.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Eightfold AI and SeekOut stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | | |
Eightfold AI SeekOut first choice named as an alternative argued againstblank: not namedEach cell is one answer, Eightfold AI on the left and SeekOut on the right.The direct prompt
The plain question, one answer per model, grouped by where Eightfold AI and SeekOut stood in it.
Eightfold AI first, SeekOut an alternative
1 of 14 modelsSeekOut was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashEightfold AI alternatives: Gem, RepVisor, SeekOut, ZoomInfo Talent
SeekOut first, Eightfold AI not the choice
1 of 14 modelsEightfold AI was named in the answer but not as the choice, or not at all.Kimi K2SeekOut alternatives: Findem, Gem
Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 mini365Talents alternatives: Fuel50, Phenom, SeekOut
Gemini 3.5 FlashGem alternatives: Findem, SeekOut, hireEZ
Perplexity SonarPin alternatives: Eightfold AI, Gem, Lightcast, SeekOut, hireEZ
Grok 4.1 FastGem, hireEZ alternatives: Bryq, Phenom, SeekOut
Mistral SmallGem alternatives: Eightfold AI, Neobrain
GLM 4.7 FlashXPin alternatives: Eightfold AI, SeekOut, hireEZ
MiniMax M2.5Metaview, hireEZ alternatives: Gem, SeekOut
Muse Glimmer 30BhireEZ alternatives: Gem, SeekOut
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Arya, Pin alternatives: Engagedly, Lattice, iCIMS Talent Cloud
DeepSeek V4 FlashGem alternatives: Fuel50, Pin, hireEZ
Llama 4 Maverickno first choice
GPT-6 LunaSeekOut Recruit alternatives: Lightcast
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.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
SeekOut leads by two points.
SeekOut4%#7 of 16Eightfold AI2%#12 of 16Mid-marketThe figures above
The order flips: Eightfold AI leads at mid-market.
Eightfold AI8%#4 of 13SeekOut2%#8 of 13Enterprise
Eightfold AI leads by sixty-two points.
Eightfold AI67%#1 of 15SeekOut6%#3 of 15What the models said about Eightfold AI
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“"Eightfold AI (Extreme Caution on 'Match Scores')… class-action lawsuit… acts as a 'consumer reporting agency' under the Fair Credit Reporting Act"... "Avoid for your size: Eightfold/Phenom/Gloat"” Muse Glimmer 30B · negative prompt · hard negative
“This is currently the most notable case. In January 2026, a class-action lawsuit (*Kistler v. Eightfold AI*) was filed in California alleging violations of the Fair Credit Reporting Act (FCRA).” MiniMax M2.5 · negative prompt · hard negative
“you should generally avoid the following enterprise-native TIPs... Eightfold AI: ... high total cost of ownership (TCO) and long, intensive implementation timelines.” Gemini 3.5 Flash · direct prompt · hard negative
“Eightfold AI — The Enterprise Heavyweight ... Best for: Large enterprises needing end-to-end talent intelligence across acquisition, internal mobility, and workforce planning.” DeepSeek V4 Flash · comparative prompt · first choice
“Primary Focus: Enterprise Skills Intelligence & Full-Lifecycle Matching... Extreme AI scale... Note: Implementation is highly complex, expensive” Gemini 3.5 Flash · comparative prompt · first choice
“I'd generally recommend Eightfold AI if your top priority is a single platform that combines external hiring + internal mobility” GPT-5.4 mini · paraphrase prompt · first choice
What the models said about SeekOut
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“18% negative sentiment noted. Seat-based model draws complaints on contact data accuracy, pricing, and ROI challenges” Grok 4.1 Fast · negative prompt · soft negative
“Users report it's "slower to reach ROI"” Kimi K2 · negative prompt · soft negative
“SeekOut – Best Overall for Mid-Market” Kimi K2 · direct prompt · first choice
“Choose a single-seat SeekOut Recruit Core plan to leverage enterprise-grade search filters without an enterprise contract.” Gemini 3.5 Flash · budget prompt · alternative
“Excellent for deep, diverse, and technical talent pools... though pricing has increasingly leaned toward enterprise budgets.” Gemini 3.5 Flash · scale prompt · alternative
Also compared
Pin vs Eightfold AIPin vs SeekOutGem vs Eightfold AIGem vs SeekOuthireEZ vs Eightfold AIhireEZ vs SeekOutEightfold AI vs Fuel50Eightfold AI vs MetaviewEightfold AI vs PhenomFuel50 vs SeekOutMetaview vs SeekOutPhenom vs SeekOutAll twenty-eight head-to-head pages and the full talent intelligence standing
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.