AI SDR agents
Asked as “AI SDR agent”, and as “AI sales development tool that prospects and books meetings”, on behalf of a mid-market B2B software company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
24%
Contested · Artisan Ava 24%
24Apollo.io24Artisan Ava18AiSDR35others
24% of first choices, contested.
Since September 2026▲+8Since September 2026: 20% → 27%, +8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.Apollo.io held the lead, +8 points on 20%, inside the 12-point floor.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01
Apollo.io24%0%33accepted challenger▲+8Since September 2026: 20% → 27%, +8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 27%
Apollo.io24%0%33accepted challenger▲+8Since September 2026: 20% → 27%, +8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.20% → 27%02
Artisan Ava24%26%53criticized challenger▲+8Since September 2026: 13% → 21%, +8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.13% → 21%
Artisan Ava24%26%53criticized challenger▲+8Since September 2026: 13% → 21%, +8 points. Inside the 12-point floor: within noise. Read over the models both editions asked.13% → 21%03
AiSDR18%7%42accepted challenger▲+14Since September 2026: 2% → 17%, +14 points. Past the 12-point floor: movement. Read over the models both editions asked.2% → 17%
AiSDR18%7%42accepted challenger▲+14Since September 2026: 2% → 17%, +14 points. Past the 12-point floor: movement. Read over the models both editions asked.2% → 17%04
Regie.ai5%11%19accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 6%
Regie.ai5%11%19accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 6%05
Amplemarket Duo4%9%11accepted challenger▼−11Since September 2026: 15% → 4%, −11 points. Past the 12-point floor: movement. Read over the models both editions asked.15% → 4%
Amplemarket Duo4%9%11accepted challenger▼−11Since September 2026: 15% → 4%, −11 points. Past the 12-point floor: movement. Read over the models both editions asked.15% → 4%06
Instantly4%20%10accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 4%
Instantly4%20%10accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 4%07Agent Frank2%0%10accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
08
Salesforge Agent Frank2%14%14accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 2%
Salesforge Agent Frank2%14%14accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.4% → 2%09
Qualified Piper2%7%14accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%
Qualified Piper2%7%14accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 2%10
11x2%50%38criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 2%
11x2%50%38criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 2%Show the two products at 0%, ordered by negative rate
11
Reply.io Jason0%6%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%
Reply.io Jason0%6%16accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 12-point floor: within noise. Read over the models both editions asked.2% → 0%12
Clay0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%
Clay0%0%13accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 12-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 12 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. How the floor is measured
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.
All twenty-one head-to-head pages: the top seven products, each against each
AiSDR vs Regie.aiAiSDR vs ClayAiSDR vs 11xArtisan Ava vs Apollo.ioArtisan Ava vs Qualified PiperArtisan Ava vs Regie.aiArtisan Ava vs ClayArtisan Ava vs 11xApollo.io vs Qualified PiperApollo.io vs Regie.aiApollo.io vs ClayApollo.io vs 11xQualified Piper vs Regie.aiQualified Piper vs ClayQualified Piper vs 11xRegie.ai vs ClayRegie.ai vs 11xClay vs 11x
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 →
010203040506A07
0809101112Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Apollo.io24%
Apollo.io24%02Artisan Ava24%
Artisan Ava24%03AiSDR18%
AiSDR18%04Regie.ai5%
Regie.ai5%05Amplemarket Duo4%
Amplemarket Duo4%06Instantly4%
Instantly4%07Agent Frank2%
08Salesforge Agent Frank2%
Salesforge Agent Frank2%09Qualified Piper2%
Qualified Piper2%1011x2%
11x2%11Reply.io Jason0%
Reply.io Jason0%12Clay0%
Clay0%What they warned about
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.
11x50%
19 of 38 labels negative · 13 of 6 models · 10 hard negative
“11x had been listing companies as customers that were not customers, with ZoomInfo's lawyer threatening legal action” Claude Haiku 4.5, negative prompt
Artisan Ava26%
14 of 53 labels negative · 11 of 6 models · 9 hard negative
“Artisan faced platform-level enforcement including a LinkedIn ban ... Artisan reviews and third-party reports document concerns around zero quality leads despite high outreach volume” Muse Glimmer 30B, negative prompt
AiSDR7%
3 of 42 labels negative · 3 of 6 models
“they appear more specialized and less universally established than Apollo or Qualified” GPT-5.4 mini, direct prompt
Instantly20%
2 of 10 labels negative · 2 of 6 models · 1 hard negative
“Avoid if you want an *agent* that thinks and responds; this is just a high-volume sender.” Qwen 3.7 Flash, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the six in this edition.
Sites the answers cite
80 of 84 answers in this category came back with a source list, from 14 of 6 models: citations where the model returns them, or the search results it consulted. 1068 links across 262 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · Salesforge42 answers · 67 citations · 13 models
vendor site · Artisan40 answers · 57 citations · 12 models
vendor site · ZoomInfo26 answers · 46 citations · 10 models
vendor site · AiSDR23 answers · 43 citations · 9 models
vendor site · Amplemarket23 answers · 27 citations · 9 models
20 answers · 20 citations · 11 models
vendor site · 11x19 answers · 29 citations · 10 models
vendor site · Coldreach19 answers · 21 citations · 10 models
16 answers · 27 citations · 10 models
vendor site · Dashly16 answers · 24 citations · 9 models
vendor site · Salesmotion15 answers · 17 citations · 7 models
vendor site · Instantly15 answers · 16 citations · 7 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.
34 answers · 12 models
29 answers · 10 models
23 answers · 9 models
20 answers · 11 models
20 answers · 9 models
14 answers · 9 models
10 answers · 4 models
8 answers · 7 models
8 answers · 8 models
8 answers · 6 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 “ai sdr agent”, “best ai sdr agent”. 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 |
|---|---|---|---|---|---|---|---|---|
| Apollo.io apollo.io | 24% | 1000 | 33,100 | 396 | 111,608 | 94 | ||
| Artisan Ava artisan.co | 24% | 132 | 170 | 6 | 49,821 | $266 | 6 | |
| AiSDR aisdr.com AiSDR 18%, AiSDR Solo 2% | 20% | 112 | 880 | 3 | 8,418 | 0 | 5 | |
| RegieGO regie.ai Regie.ai 5%, RegieGO 2% | 7% | 60 | 590 | 0 | 1,988 | 0 | ||
| Amplemarket Duo amplemarket.com | 4% | 25 | 20 | 0 | 12,067 | 8 | 7 | |
| Instantly instantly.ai | 4% | 106 | 74,000 | 87,944 | 59,881 | $986 | 17 | |
| Agent Frank | 2% | 210 | 152 | |||||
| Salesforge Agent Frank salesforge.ai | 2% | 36 | 10 | 0 | 119,383 | 19 | 1 | |
| Qualified Piper qualified.com | 2% | 36 | 170 | 4 | 24,264 | $23 | 17 | 3 |
| HubSpot parent site HubSpot Prospecting Agent 2% | 2% | 11 | 368,000 | 9,776 |
Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (aisdr.com, amplemarket.com, coldreach.ai, salesforge.ai). The first result for “ai sdr agent” is therankmasters.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 AI SDR agent for a mid-market B2B company?”Paraphrase“Which AI sales development tool that prospects and books meetings would you recommend to a mid-sized B2B company?”Comparative“What are the top AI SDR agents and how do they differ?”Budget-constrained“What is the best AI SDR agent for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an AI SDR agent. What should we look at?”Negative“Which AI SDR agents should I avoid or be cautious about?”
Claude Opus 5no first choiceno first choiceno first choiceno first choiceno first choicenothing named
Claude Opus 4.8no first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-6 Astrano first choiceno first choiceno first choiceno first choiceno first choicenothing named
GPT-5.6 Solno first choiceno first choiceno first choiceno first choiceno first choicenothing named
Gemini 3.1 Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Perplexity Sonar Prono first choiceno first choiceno first choiceno first choiceno first choicenothing named
Bold 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. Full answer text is in the free responses file. Download the record
Zero rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|
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
Amplemarket read as Amplemarket Duo
Amplemarket (Duo Copilot) read as Amplemarket Duo
Amplemarket (Duo) read as Amplemarket Duo
Amplemarket's Duo Copilot read as Amplemarket Duo
Artisan read as Artisan Ava
Artisan (Ava AI BDR) read as Artisan Ava
Artisan (Ava AI SDR) read as Artisan Ava
Artisan (Ava) read as Artisan Ava
Artisan AI (Ava) read as Artisan Ava
Artisan AI (agent "Ava") read as Artisan Ava
HubSpot Breeze read as HubSpot Prospecting Agent
Instantly Copilot read as Instantly
Qualified read as Qualified Piper
Qualified (Piper) read as Qualified Piper
Reply read as Reply.io Jason
Reply (Jason AI) read as Reply.io Jason
Reply.Io read as Reply.io Jason
Reply.io read as Reply.io Jason
Reply.io (Jason AI) read as Reply.io Jason
Reply.io (Jason) read as Reply.io Jason
Salesforce Agentforce read as Salesforce Agentforce SDR
Salesforge read as Salesforge Agent Frank
Salesforge (Agent Frank) read as Salesforge Agent Frank
Salesforge — Agent Frank read as Salesforge Agent Frank
Salesforge's Agent Frank read as Salesforge Agent Frank
Salesloft read as Salesloft Rhythm
ZoomInfo read as ZoomInfo Copilot
Unresolved, counted raw
Actively
Agentforce Sales
Anthropic (via agents)
AutoRev
AutoRev AI
Bland.ai
CallPrep
DealCrush
Firstquadrant
Funkel AI
Instanly Copilot
Laxis AI SDR
Luru
Outcraft AI
Persana AI Nia
Reply's Jason AI
RocketSDR
SalesMonk
Salesforce Outplay
Valley
Discontinued, still offered
No shut-down product was recommended here.