Observed Signal · Apr 29, 2026 · Research Report · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Responsive Study: Execution, Not AI Adoption, Drives Results
Responsive released the 2026 State of Strategic Response Management (SRM) Report, in partnership with the Association of Proposal Management Professionals (APMP). Based on responses from more than 1,100 decision-makers worldwide, the study finds a widening divide between organizations that merely experiment with AI and those that operationalize it. Top-quartile "SRM Leaders" (the top 20% by maturity) report stronger revenue impact from AI — including higher growth from strategic responses, faster sales cycles, greater efficiency and higher employee satisfaction. The report also introduces an SRM Maturity Index and recommends integrating AI, knowledge management, and people/training to realize measurable ROI from AI in strategic response processes.
The report provides empirical evidence that operationalizing AI (not just adopting it) drives measurable revenue and ROI in strategic response processes and introduces a new SRM Maturity Index that vendors and buyers can use to benchmark maturity and prioritize investments.
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Key Takeaways & Evidence Grounding
- Responsive published the 2026 State of Strategic Response Management (SRM) Report in partnership with the Association of Proposal Management Professionals (APMP).
- Report surveyed more than 1,100 decision-makers and practitioners, about half in revenue or executive leadership roles.
- Organizations classified as "SRM Leaders" (top 20% maturity) report higher growth from strategic responses (73% vs. 60%) and faster sales cycles compared with less mature organizations.
- Nearly two-thirds of companies now report achieving positive ROI from AI in SRM within the first 12 months, up from fewer than half the previous year.
- The report introduces an SRM Maturity Index and provides a 12-month roadmap for improving knowledge management, AI integration, and response workflows.
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Unlocking AI ROI: Smartcat's Blueprint for Global Enterprises
Smartcat published its flagship research report, The 2026 State of Global Enterprise Growth, examining how enterprise teams scale AI ROI across global content operations. The study surveyed enterprise leaders responsible for workforce enablement, brand growth and revenue, finding 98% of respondents reported a significant increase in content demand over the past year. Smartcat identifies a wide performance gap: teams with the highest AI ROI are nearly seven times more likely to have significantly faster localization workflows and tend to embed AI across connected workflows (creation, review, localization, maintenance). High‑ROI teams also adopt three operating transformations — unified workflow orchestration, structured AI training for process automation, and proactive governance integrated into workflows. The report includes a stage‑based AI maturity framework to help organizations prioritize investments in technology, training, and governance to improve AI ROI.
Survey: 91% Claim an AI Search Strategy
Scribewise and Scrunch released the “Moving fast, flying blind: 2026 AI search survey,” polling 602 U.S.-based full-time marketing and PR professionals. The study finds 91% of respondents say their organization has a documented AI search visibility strategy, yet many are not effectively executing it: 51% are unsure their approach is correct, only 33% analyze AI bot traffic, and 23% actively optimize content for AI systems. 82% view AI search visibility as a top priority in the next 12 months, while 62% feel behind competitors. The research also reports organizations using dedicated AI visibility monitoring platforms outperform those using free or manual methods on nearly all measured tactics.
Survey: AI Search Rapidly Shifts Marketing Budgets
Branch’s AI Search and Discovery: Enterprise Benchmark Report, based on a survey of 300 enterprise senior marketing executives, finds rapid adoption and budget reallocation toward AI-driven search. Respondents report AI search increased traffic share (15%) while traditional SEO rose 8% year-over-year; 89% said AI search improved overall marketing performance. In 2026, 65% of surveyed teams plan to dedicate at least 25% of marketing budgets to AI search (28% plan >50%), and 87% expect to be selling via AI within the year. The report also highlights notable concerns—data privacy, accuracy, workforce impact and long-term economics—despite broadly positive sentiment.
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