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AI SDR agents · October 2026 Edition

Regie.ai vs Agent Frank

One of fourteen models named Regie.ai first on the direct prompt; zero named Agent Frank. Regie.ai was named by ten of the fourteen models and Agent Frank by eight and Regie.ai carries 19 labels and Agent Frank 10, so the shares are not directly comparable.

Regie.ai

accepted challenger

Named in one category this edition.

Agent Frank

accepted challenger

Named in one category this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 12; printed, not drawn.
Labels1910A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Regie.ai reading right to left. Rank and label count are printed, not drawn.Artisan Ava was named alongside these two in nine of the fourteen direct answers. Apollo.io vs Regie.ai · Apollo.io vs Agent Frank · Artisan Ava vs Regie.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 AI SDR agents page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Regie.aiFirst choices, of fourteen modelsAgent Frank
Direct10
Paraphrase01
Comparative011 against Regie.ai
Budget-constrained20
Scale-constrained00
Negative001 against Regie.ai
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Regie.ai and Agent Frank stood in it.
ModelDirectAFParaphraseAFComparativeAFBudget-constrainedAFScale-constrainedAFNegativeAF
Claude Haiku 4.5
GPT-5.4 miniAF
Gemini 3.5 FlashAF
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 FlashAF
Llama 4 MaverickAF
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashXAFAF
MiniMax M2.5AFAF
GPT-6 Luna
Muse Glimmer 30B
Regie.aiAF Agent Frank first choice named as an alternative argued againstblank: not namedEach cell is one answer, Regie.ai on the left and Agent Frank on the right.

The direct prompt

The plain question, one answer per model, grouped by where Regie.ai and Agent Frank stood in it.

Regie.ai first, Agent Frank not the choice

1 of 14 modelsAgent Frank was named in the answer but not as the choice, or not at all.
Mistral SmallArtisan Ava, Regie.ai alternatives: Conversica

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarApollo.io alternatives: AiSDR, Amplemarket Duo, Regie.ai
Kimi K2Apollo.io alternatives: AiSDR, Artisan Ava, Regie.ai, ZoomInfo Copilot

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Artisan Ava alternatives: Jeeva, Persana AI, RocketSDR, Salesloft Rhythm
GPT-5.4 miniApollo.io, Qualified Piper alternatives: Salesforce Agentforce SDR
Gemini 3.5 FlashAmplemarket Duo alternatives: 11x, Artisan Ava, Clay, HubSpot Prospecting Agent, Piper, Topo.io
Grok 4.1 FastAiSDR, Artisan Ava alternatives: Apollo.io, Conversica, Reply.io Jason
DeepSeek V4 FlashArtisan Ava alternatives: AiSDR, Clay
Llama 4 Maverickno first choice
Qwen 3.7 FlashSalesforge Agent Frank alternatives: Apollo.io, Clay, ZoomInfo Copilot
GLM 4.7 FlashXLaxis AI SDR alternatives: 11x Alice, AiSDR, Amplemarket Duo, Reply.io Jason
MiniMax M2.5AiSDR, Artisan Ava alternatives: Coldreach, Reply.io Jason, ZoomInfo Copilot
GPT-6 LunaArtisan Ava alternatives: AiSDR
Muse Glimmer 30BArtisan Ava alternatives: 11x Alice, Apollo.io

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
Agent Frank leads by two points.
Agent Frank6%#4 of 9
Regie.ai4%#– of 9
The full small business standing →
Mid-marketThe figures above
The order flips: Regie.ai leads at mid-market.
Regie.ai5%#4 of 12
Agent Frank2%#7 of 12
The full mid-market standing →
Enterprise
Regie.ai leads by six points.
Regie.ai6%#4 of 11
Agent Frank0%#– of 11
The full enterprise standing →

What the models said about Regie.ai

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

“Note: Some reviews say it's more of a content creator for sequences than a true end-to-end SDR” Kimi K2 · comparative prompt · soft negative
“More of an AI copywriting and enablement tool than a full-stack autonomous SDR agent.” Qwen 3.7 Flash · negative prompt · soft negative
“Start with Apollo.io's free tier or Regie.ai's free plan” Kimi K2 · budget prompt · first choice
“the best fit is usually Regie.ai's Free or Pro tier” GPT-5.4 mini · budget prompt · first choice
“Regie.ai and Artisan are top choices” Mistral Small · direct prompt · first choice

What the models said about Agent Frank

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

“One of the most cost-effective options with genuine autonomy for a low price point.” DeepSeek V4 Flash · comparative prompt · first choice
“Top Recommendation: Agent Frank (Salesforge) Best Overall for Mid-Market B2B” GLM 4.7 FlashX · paraphrase prompt · first choice
“Agent Frank (Salesforge) | Teams automating full meeting-booking | $499/mo | Learns from corrections, own infrastructure” MiniMax M2.5 · 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.