HR AI Index
Index Talent acquisition Recruitment marketing › Workable vs TalentLyft
Recruitment marketing and career sites · September 2026 Edition

Workable vs TalentLyft

Three of twelve models named Workable first on the direct prompt; one named TalentLyft. Workable was named by eleven of the twelve models and TalentLyft by six and Workable carries 24 labels and TalentLyft 10, so the shares are not directly comparable.

Workable

accepted challenger

Named in nine categories this edition.

TalentLyft

accepted challenger

Named in two categories this edition.

First-choice share16%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate17%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 15; printed, not drawn.
Labels2410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Workable reading right to left. Rank and label count are printed, not drawn.Jobvite was named alongside these two in seven of the twelve direct answers. Teamtailor vs Workable · Teamtailor vs TalentLyft · Workable vs Jobvite

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 recruitment marketing and career sites page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
WorkableFirst choices, of twelve modelsTalentLyft
Direct31
Paraphrase50
Comparative001 against TalentLyft
Budget-constrained011 against Workable
Scale-constrained00
Negative003 against Workable
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Workable and TalentLyft stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Workable TalentLyft first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workable on the left and TalentLyft on the right.

The direct prompt

The plain question, one answer per model, grouped by where Workable and TalentLyft stood in it.

Both were the first choice

1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.
GLM 4.7 FlashXTalentLyft, Workable alternatives: Recruitee

Workable first, TalentLyft not the choice

2 of 12 modelsTalentLyft was named in the answer but not as the choice, or not at all.
Kimi K2Jobvite, Workable alternatives: Beamery, Phenom
MiniMax M2.5Jobvite, Workable alternatives: Gem, Phenom, Teamtailor

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.1 FastTeamtailor alternatives: Jobvite, Recruitee, TalentLyft
DeepSeek V4 FlashJobvite alternatives: Beamery, Phenom, Teamtailor, Workable

Neither was named

7 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5SmartDreamers alternatives: Greenhouse, Jobilla, LinkedIn Talent Solutions, Loxo
GPT-5.4 miniPhenom alternatives: Beamery, Joveo, Radancy
Gemini 3.5 FlashGem alternatives: Lever, Teamtailor
Perplexity SonarPhenom alternatives: SmartDreamers, Teamtailor
Mistral SmallJobvite alternatives: Joveo, Phenom, iCIMS
Llama 4 MaverickJobvite
Qwen 3.7 FlashJobvite alternatives: SmartDreamers, iCIMS

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
TalentLyft leads by five points.
TalentLyft5%#7 of 16
Workable0%#9 of 16
The full small business standing →
Mid-marketThe figures above
The order flips: Workable leads at mid-market.
Workable16%#2 of 15
TalentLyft4%#7 of 15
The full mid-market standing →
Enterprise
Workable leads by two points.
Workable2%#– of 13
TalentLyft0%#– of 13
The full enterprise standing →

What the models said about Workable

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.

“Avoid for tight budgets: Workable ($299+/month)” Grok 4.1 Fast · budget prompt · hard negative
“Be Cautious With ... Users report billing disputes, inflexible features, slow support, and integration failures” Grok 4.1 Fast · negative prompt · soft negative
“I'd recommend Workable as the default choice because it delivers a polished, branded careers page right out of the box” GLM 4.7 FlashX · paraphrase prompt · first choice
“Workable is a battle-tested ATS with a careers page that is best for mid-market companies (50–500 employees)” Llama 4 Maverick · paraphrase prompt · first choice

What the models said about TalentLyft

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“SMB options like TalentLyft (~$99/mo) exist but rank lower” Grok 4.1 Fast · comparative prompt · soft negative
“For most mid-market B2B companies, TalentLyft or Workable offer the best balance of features, pricing, and ease of use.” GLM 4.7 FlashX · direct prompt · first choice
“TalentLyft's free tier and Manatal's low starting price make them ideal starting points for companies with limited budgets” Claude Haiku 4.5 · budget prompt · first choice
“all-in-one recruiting + CRM/marketing suites for small-to-mid-size businesses” DeepSeek V4 Flash · comparative prompt · alternative
Also compared

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.