{"id":11112,"date":"2026-06-10T07:17:50","date_gmt":"2026-06-10T13:17:50","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=11112"},"modified":"2026-06-10T07:17:50","modified_gmt":"2026-06-10T13:17:50","slug":"the-martech-categories-hit-hardest-by-ai-agents","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=11112","title":{"rendered":"The martech categories hit hardest by AI agents"},"content":{"rendered":"<div><img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"452\" src=\"https:\/\/martech.org\/wp-content\/uploads\/2025\/11\/71049762-8d55-4ea5-89e3-f02bfc13a42d-800x452.png\" class=\"attachment-large size-large wp-post-image\" alt=\"\" \/><\/div>\n<p>Whether your marketing team can take advantage of AI agents depends less on the agent tools themselves and more on whether your existing platforms have the API infrastructure to support them. A <a href=\"https:\/\/saastr.ai\/api-report-card\">new public dataset<\/a> grades 152 B2B APIs on their agent-readiness \u2014 giving you a framework to pinpoint where your stack can support automation and where it might hold you back.<\/p>\n<p>That matters a lot if you\u2019re considering replacing some SaaS with a vibe-coded, homegrown version. Many companies are doing just that, leading to growing concerns about a SaaSpocalypse. And with good reason. Earlier this year, roughly $300 billion in market value evaporated across software stocks after Anthropic released Claude Code and Claude Cowork \u2014 tools that let AI agents build and modify software autonomously. <a href=\"https:\/\/www.deloitte.com\/us\/en\/insights\/industry\/technology\/technology-media-and-telecom-predictions\/2026\/saas-ai-agents.html\">Deloitte, citing Gartner<\/a>, projects that 35% of point-product SaaS tools will be replaced by AI agents or absorbed into larger agent ecosystems by 2030.<\/p>\n<p>\u201cVibe coding will lead to a renaissance of 1 million new SaaS apps. It is [sic] already begun,\u201d SaaStr founder Jason Lemkin <a href=\"https:\/\/www.linkedin.com\/posts\/jasonmlemkin_many-talk-about-saas-being-dead-and-many-activity-7379972264261222400-knyD\">wrote on LinkedIn<\/a>. But the flip side is that the platforms with weak, human-first APIs are the most exposed. \u201cThe \u2018SaaS apocalypse\u2019 narrative is more about acceleration than extinction,\u201d Jen Grant, CMO of conversational AI platform Quiq, <a href=\"https:\/\/www.cmswire.com\/customer-experience\/what-does-the-saas-apocalypse-mean-for-cx-leaders\/\">told CMSWire<\/a>. \u201cSystems of record \u2014 your CRM, your data warehouse, your core operating platforms \u2014 are not going away. What is shifting is the layer above them.\u201d<\/p>\n<p>Scott Brinker, editor of the Martech Landscape and chiefmartec, and Frans Riemersma, founder of MartechTribe, offer a more measured take in their annual <a href=\"https:\/\/chiefmartec.com\/2025\/12\/heres-your-copy-of-our-martech-for-2026-report-free-and-ungated\/\">Martech for 2026 report<\/a>. \u201cBig changes are happening in the stack and in the market. AI agents are real, and they are rewiring the ways marketers market \u2014 and the ways buyers buy. But the hype still exceeds reality,\u201d they write. \u201cYou should lean in and learn. But maintain healthy skepticism toward the AI equivalent of \u2018wild-eyed pistol wavers\u2019 pushing for a radical rebuild of your entire stack. Experiment boldly, but scale wisely.\u201d<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"800\" height=\"489\" src=\"https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents-800x489.png\" alt=\"\" class=\"wp-image-409606\" \/><\/figure>\n<p>Their data bears that out: 90.3% of marketing teams already use AI agents somewhere in their stack \u2014 but enterprises most often run agents embedded in their existing platforms (68%), not replacing them.<\/p>\n<h2 class=\"wp-block-heading\">Checking your own stack<\/h2>\n<p>For a marketing operations manager, the report card is more useful as a diagnostic framework than a shopping list. Instead of asking whether to replace a platform, the more productive questions are:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li>Does my current marketing automation platform have API limits that an agent would burn through in minutes during a segmentation workflow?\u00a0<\/li>\n<li>Can my stack push real-time updates via webhooks, or will an agent have to poll constantly?\u00a0<\/li>\n<li>Can I safely test agent workflows in a sandbox without risking live data?\u00a0<\/li>\n<li>If an agent retries a failed action, will it create duplicate contacts or records?<\/li>\n<\/ul>\n<p>These are criteria to bring into a vendor renewal conversation. You don\u2019t need to be a developer to ask them. You just need to know that the questions matter.<\/p>\n<p>The layer shifting above them, increasingly, is AI agents. And which platforms survive that shift comes down to a single factor: how agent-friendly the API is.<\/p>\n<p>SaaStr\u2019s AI Agent API Report Card grades 152 B2B APIs on how well they support autonomous agents. The thesis is simple, as SaaStr founder Jason Lemkin explained: after running 20-plus AI agents in production for 18 months, \u201cthe single biggest variable in whether a vendor stays or goes hasn\u2019t been the UI. It hasn\u2019t been the price. It hasn\u2019t been the brand. It\u2019s been the API.\u201d<\/p>\n<p>That means the platforms at the bottom of the report card \u2014 the ones whose APIs are hardest for an agent to work with \u2014 are also the ones most directly exposed as the agent ecosystem matures.<\/p>\n<p>And the names at the bottom are not random.<\/p>\n<p>Marketo scores 50 out of 100. Gainsight scores 47. Workday (a frequent data source for marketing operations) scores 42. ActiveCampaign scores 53. Mailchimp scores 57.<\/p>\n<p>\u201cThey built empires with a human UI as the product,\u201d Lemkin wrote. \u201cThe API was an afterthought. The brand was the screen the rep logged into every morning. That worked for 15 years. It doesn\u2019t work now.\u201d<\/p>\n<p>Here\u2019s what\u2019s going on with several categories of solutions:<\/p>\n<h3 class=\"wp-block-heading\">Marketing automation<\/h3>\n<p>The marketing automation category is the cleanest example. Marketo\u2019s API scores five out of 10 on API design, five on webhooks, five on rate limits, five on SDKs and docs, and just four out of 10 on agent readiness. The Marketo REST API allocates 50,000 calls per day, but that is still modest by agent standards \u2014 a single\u00a0agent running a segmentation workflow could burn through that in hours, not days. The SaaStr report card\u2019s agent note calls it out bluntly: \u201cDated API\u00a0architecture\u2026 and complex Launchpoint auth make it one of the least agent-friendly marketing platforms.\u201d\u00a0<\/p>\n<p>Compare that to the AI and LLM APIs at the top of the list. OpenAI scores 90. Anthropic scores 90. These companies are building APIs specifically designed for programmatic access \u2014 because agents are their primary delivery channel.<\/p>\n<h3 class=\"wp-block-heading\">Customer success <\/h3>\n<p>Customer success platforms face a similar exposure. Gainsight scores 47 (C), with a 3 out of 10 on SDKs and docs and a 4 out of 10 on agent readiness. Freshdesk scores 58 (C+).<\/p>\n<p>The category\u2019s bright spot is Intercom Fin, scoring 70 (B) and earning a 9 out of 10 for agent readiness. Not coincidentally, this is the one platform in the category that explicitly built an AI agent platform for third-party developers.<\/p>\n<h3 class=\"wp-block-heading\">Sales intelligence<\/h3>\n<p>Sales intelligence tells a more nuanced story. Clay scores 75 (B+) with a 9 out of 10 on agent readiness \u2014 Lemkin called it \u201cpractically a visual agent builder.\u201d But Gong scores 63 (B-), Outreach scores 65 (B-), and Hunter.io scores 60 (B-). The tools that sales teams rely on for pipeline intelligence and prospecting are not yet built for the agents who will increasingly do that work.<\/p>\n<h3 class=\"wp-block-heading\">CRM<\/h3>\n<p>CRM fares better but still has pockets of vulnerability. HubSpot earns an 80 (A-), Salesforce a 75 (B+). But Zoho CRM scores 57 (C+) and Freshsales scores 55 (C+). The gap between the category leaders and the rest is significant \u2014 and growing.<\/p>\n<h2 class=\"wp-block-heading\">The metric that matters most<\/h2>\n<p>Perhaps the most revealing metric on the entire report card is agent readiness, one of the six criteria evaluated.<\/p>\n<p>Sales intelligence platforms average 7.0 out of 10 on agent readiness \u2014 decent, but heavily pulled up by Clay\u2019s 9. Marketing platforms average just 6.1. Customer success averages 6.3.<\/p>\n<p><a href=\"https:\/\/www.semrush.com\/lp\/semrush-one\/en\/?utm_campaign=ic_semrush_one&amp;utm_source=searchengineland.com&amp;utm_medium=overlay&amp;onboarding=off\" target=\"_blank\"><\/a><\/p>\n<div>\n<div>\n<div class=\"headline-responsive\">\n        Your customers search everywhere. Make sure your brand <span>shows up<\/span>.\n      <\/div>\n<p>\n        The SEO toolkit you know, plus the AI visibility data you need.\n      <\/p>\n<\/div>\n<div>\n      <span>Start Free Trial<\/span>\n    <\/div>\n<div>\n<div>Get started with<\/div>\n<p>      <img decoding=\"async\" src=\"https:\/\/searchengineland.com\/wp-content\/seloads\/2025\/11\/semrush-one.webp\" alt=\"Semrush One Logo\" \/>\n    <\/p><\/div>\n<\/div>\n<p><\/p>\n<p>Agent readiness measures whether a platform has the basic safeguards an autonomous system needs: a safe place to test without affecting live data, error\u00a0messages a computer can actually interpret, the ability to retry a failed action without creating duplicate records, and the ability to push updates in real\u00a0time instead of waiting to be asked. It is the dimension that determines whether an AI agent can do useful work on the first try \u2014 or whether it will immediately hit a wall.\u00a0<\/p>\n<p>For the platforms scoring below 5 on agent readiness \u2014 Marketo (4), Gainsight (4), Heap (3) \u2014 hitting that wall is almost certain.<\/p>\n<h2 class=\"wp-block-heading\">What it means for practitioners<\/h2>\n<p>The question for marketing practitioners is not whether agents will operate these tools. It\u2019s whether the current tool will be the one the agent operates, or whether a more API-forward competitor will take its place.<\/p>\n<p>HubSpot\u2019s spring 2026 headless push and Breeze AI Agent APIs suggest it sees the writing on the wall. Intercom\u2019s Fin API Platform opens its AI agent to third-party development. Salesforce\u2019s Agentforce 360 and Agent Script earned it a 9 out of 10 on agent readiness.<\/p>\n<p>The vendors already investing in their agent interface are the ones pulling away. The rest \u2014 including some of the biggest names in martech \u2014 are making themselves replaceable.<\/p>\n\n<p>The post <a href=\"https:\/\/martech.org\/the-martech-categories-hit-hardest-by-ai-agents\/\">The martech categories hit hardest by AI agents<\/a> appeared first on <a href=\"https:\/\/martech.org\/\">MarTech<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Whether your marketing team can take advantage of AI agents depends less on the agent tools themselves and more on whether your existing platforms have the API infrastructure to support them. A new public dataset grades 152 B2B APIs on their agent-readiness \u2014 giving you a framework to pinpoint where your stack can support automation &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/attentionmedia.io\/?p=11112\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8220;The martech categories hit hardest by AI agents&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11112","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"featured_media_urls":{"thumbnail":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"medium":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"medium_large":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"large":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"1536x1536":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"2048x2048":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"inspiro-featured-image":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"inspiro-loop":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"inspiro-loop@2x":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-thumbnail":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-thumbnail@2x":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-masonry":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-masonry@2x":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-thumbnail_cinema":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-thumbnail_portrait":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-thumbnail_portrait@2x":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false],"portfolio_item-thumbnail_square":["https:\/\/martech.org\/wp-content\/uploads\/2026\/05\/how-marketers-use-agents.png",0,0,false]},"_links":{"self":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/posts\/11112","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11112"}],"version-history":[{"count":0,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/posts\/11112\/revisions"}],"wp:attachment":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11112"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11112"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11112"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}