Industry report

ChatGPT 'Email Marketing & CRM' Ads Skip the ESPs and CRMs

Not a single major ESP or CRM cracks the top 10 advertisers on ChatGPT's 'Email Marketing & CRM' surface; ZoomInfo, Monday.com, and Planhat run the top three.

ChatGPT Ads Library2 min read

The 'Email Marketing & CRM' ad surface on ChatGPT is not owned by email platforms or CRMs. ZoomInfo Technologies Inc sits at #1 with 9.05% share of voice, and the top 10 includes no HubSpot, Mailchimp, Klaviyo, Salesforce, ActiveCampaign, or ConvertKit. The category label is real, but the advertisers underneath cluster around something else, and adjacency is winning.

The top 10 holds zero ESPs or CRMs, and all 14 of the top triggering prompts in this niche open with the phrase 'AI agent.' The surface looks like email and CRM. The demand underneath is AI agent workflows on email and CRM data.

0
ESPs or CRMs in the top 10
577
advertisers competing
7,904
total placements
13.7
avg placements per advertiser
20.11%
combined SoV of the top 3
Top 10 advertisers on the 'Email Marketing & CRM' surface
2
Monday.com491 placements
3
Planhat383 placements
4
AirOps378 placements
6
HoneyBook Inc246 placements
7
Reevo209 placements
8
Evertune Inc.194 placements
Share of voice, top 10 advertisers
39.85%
  • Others60%
  • ZoomInfo9%
  • Monday.com6%
  • Planhat5%
  • AirOps5%
  • Others15%
The top 10 capture 39.85% of placements; the remaining 567 advertisers split what is left.

The top of this surface does not list a category owner. The cluster themes attached to these advertisers point to intent data, AI search visibility, customer success, GTM, and post-call CRM, not email platforms or CRMs. The matching signal on this surface looks like adjacency to the real buyer question: AI agents acting on customer data, not the literal 'email and CRM' label.

What users actually ask ChatGPT
14 real prompts
AI agent A/B testing automation
AI agent CAC optimization
AI agent CRM data enrichment
AI agent LTV calculation automation
AI agent SEO audit automation

Cluster economics: fragmentation is a mirage

Placements per advertiser, by cluster theme
AI-powered sales rep (24 advertisers, 111 placements)
4.6per advertiser
Post-call CRM (48 advertisers, 138 placements)
2.9per advertiser
Demand gen / account-based (59 advertisers, 153 placements)
2.6per advertiser
Intent data (29 advertisers, 72 placements)
2.5per advertiser
GTM / unified GTM (39 advertisers, 88 placements)
2.3per advertiser
Restaurant marketing (34 advertisers, 66 placements)
1.9per advertiser
AI search visibility (145 advertisers, 130 placements)
0.9per advertiser
Narrow, intent-rich clusters return up to 5x more placements per advertiser than the most crowded theme on the surface.

A single tight cluster on this surface returns more than five times the placements-per-advertiser of the most crowded theme.

Mastercard ranks #10 with 120 placements (1.52% share), a brand with no ESP or CRM product line. Category name alone does not appear to be the matching signal on this surface.

What advertisers should do about it

Four things. First, mirror the literal prompt language. Build ads around 'AI agent + workflow' (churn prediction, data enrichment, attribution, onboarding) and you match the queries; build them around 'best email platform' or 'HubSpot vs Mailchimp' and you do not, because the buyer is not asking that question on this surface. Second, own one cluster, not the surface. The math rewards focus. The AI-powered sales rep cluster is the clearest entry point: 24 advertisers, 4.6 placements each, and the prompts actually name the workflows the cluster covers. Third, do not enter the AI search visibility cluster: 145 advertisers fighting over 130 placements is a guaranteed share-loss position. Fourth, revisit the competitive set. The real opponents here are the same intent-data, customer-success, and AI search visibility vendors showing up across nearly every martech-adjacent ChatGPT surface, not the ESP and CRM brands on a traditional B2B shortlist.

Methodology

We probe ChatGPT with realistic consumer prompts and capture the sponsored ad cards it returns — every creative, the triggering prompt, and the advertiser. Figures reflect our captured sample, not OpenAI's internal data. Explore the live ad library and market intelligence.