Question Title * 1. How are AI agents currently deployed in your marketing/sales organization? Experimentation only (testing, pilots, proofs of concept) Limited production (used in specific cases but not widespread) Full production (integrated into core processes or customer-facing experiences) Not in use yet, but planning on it within the next 6 months Not in use, no short-term plans Question Title * 2. What internal-facing AI agents have you used, even in a pilot or experimental stage? (Select all that apply.) Content production agent Customer journey builder agent Audience discovery/segmentation agent Offer/next-best-action decision agent Prospect researching agent Social media agent Data hygiene/enrichment agent Competitive analysis agent Ad optimization agent Sales assistant agent (live guidance for reps) Other (please specify) None Question Title * 3. What customer-facing AI agents have you used, even in a pilot or experimental stage? (Select all that apply.) Customer service chatbot agent, on website or in mobile app Customer service messaging agent, on social media, SMS, or WhatsApp Customer service voice agent, in phone system or contact center Inbound email response agent Outbound email outreach agent (i.e., AI BDRs/SDRs) In-ad conversational agent (i.e., conversational ads) In-product agent/co-pilot for tours/tutorials/assistance Shopping/product selection assistants Other (please specify) None Question Title * 4. What are you doing to support external AI agents that operate on behalf of buyers, including AEO (Answer Engine Optimization/AI Engine Optimization)? (Select all that apply.) Publishing AI-optimized content (e.g., structured Q&A/FAQs, schema markup) Publishing machine-readable feeds (JSON/CSV) for product and pricing data Publishing an llms.txt or agents.json file Exposing deep links/APIs for AI agents to take actions Providing an MCP (model context protocol) server Measuring AI inclusion rate and agent-referred conversions Other (please specify) None Question Title * 5. How are you acquiring or developing AI agents for marketing use cases? (Select all that apply.) Embedded agents in software we already use (e.g., MAP/CRM/CDP) Purchased a standalone commercial agent platform/product Configured with no-/low-code tools (e.g., iPaaS/automation/agent studios) Built with pro-developer frameworks/SDKs (APIs, orchestration libraries) Not using/building agents yet Question Title * 6. What is the relationship of these agents to your existing martech stack? (Select all that apply.) Enhancing existing functionality/use cases Replacing existing functionality/use cases Implementing entirely new functionality/use cases Other (please specify) Question Title * 7. How are AI agents, tools, or agentic workflows integrated with your tech stack today? (Select all that apply.) Custom-built integrations — built internally or with a systems integrator Pre-built, out-of-the-box integrations — provided by the app/AI vendors iPaaS integrations — e.g., Gumloop, Make, n8n, Workato, Zapier Question Title * 8. Are you using any MCP (Model Context Protocol) connectors? (Select all that apply.) Yes, in AI assistants, e.g., ChatGPT, Claude, Gemini, Microsoft Copilot Yes, in iPaaS and AI agent/automation platforms, e.g., n8n, Workato, Zapier Yes, in core marketing/sales platforms, e.g., Salesforce, HubSpot No I don’t know Question Title * 9. What internal data sources are you integrating into AI agents or agentic workflows? (Select all that apply.) CRM/CDP profiles Transactions/order histories Product catalog/content Emails Call transcripts Support tickets Community forums Product analytics/user behaviors/clickstream data Knowledge base Brand/marketing assets Brand voice/style guide Campaign performance data Policies and legal guidelines Internal docs/wiki Other (please specify) None Question Title * 10. Which external data sources are you integrating into AI agents or agentic workflows? (Select all that apply.) Customer/prospect profile enrichment data Customer/prospect intent data Public web — customer/prospect websites Public web — competitors’ websites Public web — other 3rd-party websites Social media (e.g., LinkedIn, YouTube, Instagram, X) Marketplace/review sites (e.g., Amazon, G2, Trustpilot) Weather data Stock markets/financial data Partner/distribution channel data Other (please specify) None Question Title * 11. Are you integrating data directly from a cloud data warehouse/lakehouse to AI agents? Yes No Question Title * 12. What is the level of autonomy your AI agents currently operate at? (Select all that apply.) Assist only (AI suggests, human decides) Execute with approval (AI proposes action, human approves before execution) Execute with rollback (AI executes, humans can reverse if needed) Post-hoc review (AI executes, human reviews afterward, but cannot prevent execution in real-time) Question Title * 13. What challenges or difficulties are you having with these integrated AI systems? (Select all that apply.) Poor data quality (missing/stale/inconsistent) Lack of a unified customer ID/identity resolution Integration friction (legacy systems, limited APIs, schema mismatches) Governance constraints (privacy/consent, data residency, content rights/licensing) Security vulnerabilities (prompt injection, data leakage) Latency/SLA limits for real-time experiences Unreliable LLM output; inconsistent brand/regulatory guardrails Cost observability & budget control Org/process readiness (skills gap, unclear ownership, change management) Other (please specify) Question Title * 14. Is your business B2B, B2C, or both? B2B B2C B2B & B2C Question Title * 15. What is the size of your business? SMB: 1-499 employees Mid-market: 500-4,999 employees Enterprise: 5,000+ employees Question Title * 16. What industry are you in? Automotive Banking & Financial Services Building & Construction Charity Consumer Products Energy & Utilities Industrial & Chemical Manufacturing Pharma, Healthcare, & Life Sciences Professional Services Public Sector, Government, & Education Retail Technology Telecommunications, Communications, & Media Transportation & Logistics Travel & Hospitality Wholesale Question Title * 17. Which best describes the department/team you work in? Marketing Marketing operations Revenue operations (revops) Operations (other) IT External service provider/consultant Other Question Title * 18. Which best describes the level of your role? C-Level (e.g., CMO, CIO, CEO, COO) VP/SVP Director/Senior Director Manager/Team Lead Individual Contributor Question Title * 19. OPTIONAL "THANK YOU" RECOGNITIONIf you want to remain completely anonymous to us, you can skip this question and just click the "Done" button below.However, if you want to share your email address with us, we are happy to offer you two tokens of our gratitude:1. The option of receiving a credit with your name or your company's name in the credits of our Martech for 2026 report that will be released in December. We will follow up to confirm that you want to be credited and how — we won't name you without your express permission.2. Being entered in a drawing for an optional free 30-minute martech session with Scott Brinker and Frans Riemersma. We will select one winner at random from all participants who enter. It can be a private consultation or a public interview published on our social media channels, whichever you prefer.You can have either or both of these (or none) — entirely your choice.We will not share your email with anyone else, and we will not attribute any of your answers on this survey to you. Your survey response will remain anonymous, and we will only be publishing the aggregate results for everyone.Thank you! Done