AI Visibility Report: Outbound Sales Stack
31 brands · 10 AI models · 100 prompts · 1,000 responses · May 2026
For two decades, 'outbound sales tools' meant Outreach versus Salesloft. The only real question was which sequencer your SDR team would standardize on. Apollo changed that by bundling data, dialer, sequencing, and analytics into one platform at a price point that scales down to startups. AI search engines noticed before most RevOps leaders did.
We asked 10 AI search engines 100 questions about modern outbound. Apollo leads on every dimension we measured. First-pick rate: 96 wins. Total mentions: 645. Sentiment: 0.41, the highest in the niche. Recommendation rate: 21%. The old duopoly framing no longer matches what buyers actually see.
Three findings underneath the surface. ZoomInfo's pipeline.zoominfo.com is the most-cited domain on Claude and Perplexity — vendor editorial pulled in as canonical reference. Training-only models account for 35–65% of any brand's visibility share, so brands launched after 2023 get all their AI exposure through web-search-enabled models. And Lavender hits 32% recommendation rate on just 59 mentions — proving that mention count and intent are not the same metric.
“Apollo leads on every metric we measured. ZoomInfo's blog is cited more than Wikipedia. Lavender shows up rarely but gets recommended a third of the time it does. None of this matches what your G2 dashboard tracks.”
Who AI recommends in outbound sales stack
Ranked by weighted visibility score across all 10 AI models. Top 15 of 31 brands shown.
16 more brands in the full report, including per-model breakdowns.
Model-by-model analysis
How ChatGPT, Claude, Gemini, Perplexity, Grok, and 5 more each see the outbound stack. ChatGPT trusts Reddit. Claude trusts ZoomInfo's blog. Each surface is a different category map.
Head-to-head matchups
Apollo vs Outreach. Salesloft vs Apollo. ZoomInfo vs Cognism. Who wins when AI has to pick one — and which model is making the pick.
Citation source analysis
pipeline.zoominfo.com is the #1 cited source on Claude and Perplexity for outbound queries. 188 citations across 4 AI search engines — more than Wikipedia or Reddit. Why owned editorial is the cheapest visibility lever.
Mention vs recommendation rate
Lavender gets recommended 32% of the time it's mentioned — the highest rate in the niche. Reply.io is the inverse. Why brand strategy depends on which metric you optimize for.
The training-data cutoff problem
Why training-only models (Mistral, Qwen, Grok, DeepSeek) barely know Clay or Instantly exist, and what newer entrants have to do about it.
The playbook
Concrete recommendations for RevOps and B2B marketing teams on improving AI visibility in this category.
- 01The Thesis
- 02What We Measured
- 03How We Measure AI Visibility
- 04AI Visibility Rankings
- 05What the Models Reveal About Themselves
- 06Where the Models Disagree
- 07Head-to-Head: Who Wins When AI Decides
- 08The Visibility Landscape, Mapped
- 09The Sources AI Trusts
- 10What Kind of Content AI Actually Cites
- 11Mention Count vs Recommendation Rate
- 12How Different Model Categories See the Market
- 13The Playbook
- 14Methodology
Get the full report
All 31 brand rankings. Model-by-model breakdowns. Citation analysis. Head-to-head matchups. The actionable playbook.
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