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AI SDR agents · October 2026 Edition

Apollo.io vs Agent Frank

Three of fourteen models named Apollo.io first on the direct prompt; zero named Agent Frank. Apollo.io was named by thirteen of the fourteen models and Agent Frank by eight and Apollo.io carries 33 labels and Agent Frank 10, so the shares are not directly comparable.

Apollo.io

accepted challenger

San Francisco, United States, founded 2015. Named in twenty-six categories this edition.

Agent Frank

accepted challenger

Named in one category this edition.

First-choice share24%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 12; printed, not drawn.
Labels3310A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Apollo.io 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 Artisan Ava · Apollo.io vs AiSDR · Apollo.io 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.
Apollo.ioFirst choices, of fourteen modelsAgent Frank
Direct30
Paraphrase51
Comparative01
Budget-constrained50
Scale-constrained00
Negative00
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 Apollo.io and Agent Frank stood in it.
ModelDirectAFParaphraseAFComparativeAFBudget-constrainedAFScale-constrainedAFNegativeAF
Claude Haiku 4.5
GPT-5.4 miniAF
Gemini 3.5 FlashAF
Perplexity Sonar
Grok 4.20
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
Apollo.ioAF Agent Frank first choice named as an alternative argued againstblank: not namedEach cell is one answer, Apollo.io on the left and Agent Frank on the right.

The direct prompt

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

Apollo.io first, Agent Frank not the choice

3 of 14 modelsAgent Frank was named in the answer but not as the choice, or not at all.
GPT-5.4 miniApollo.io, Qualified Piper alternatives: Salesforce Agentforce SDR
Perplexity SonarApollo.io alternatives: AiSDR, Amplemarket Duo, Regie.ai
Kimi K2Apollo.io alternatives: AiSDR, Artisan Ava, Regie.ai, ZoomInfo Copilot

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20AiSDR, Artisan Ava alternatives: Apollo.io, Conversica, Reply.io Jason
Qwen 3.7 FlashSalesforge Agent Frank alternatives: Apollo.io, Clay, ZoomInfo Copilot
Muse Glimmer 30BArtisan Ava alternatives: 11x Alice, Apollo.io

Neither was named

8 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
Gemini 3.5 FlashAmplemarket Duo alternatives: 11x, Artisan Ava, Clay, HubSpot Prospecting Agent, Piper, Topo.io
Mistral SmallArtisan Ava, Regie.ai alternatives: Conversica
DeepSeek V4 FlashArtisan Ava alternatives: AiSDR, Clay
Llama 4 Maverickno first choice
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

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
Apollo.io leads by twenty-six points.
Apollo.io32%#1 of 9
Agent Frank6%#4 of 9
The full small business standing →
Mid-marketThe figures above
Apollo.io leads by twenty-two points.
Apollo.io24%#1 of 12
Agent Frank2%#7 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Apollo.io0%#11 of 11
Agent Frank0%#– of 11
The full enterprise standing →

What the models said about Apollo.io

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

“Best for budget-conscious teams wanting database + outreach in one tab, giving high-end AI power to small teams who don't have a $5,000 monthly budget” Claude Haiku 4.5 · budget 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.