AI Market insights

Analysis, how-tos, and guides on AI adoption, B2B automation, and configurator best practices.

• INSIGHTSJun 4, 2026

  GEO in June 2026: The Methods and Metrics That Actually Work

  Zero-click search, citation concentration, and why prompt-monitoring dashboards mislead. A ground-level GEO guide: what the numbers mean, what teams do in practice, and how to measure AI visibility honestly.

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• FEATURED
  INSIGHTSMay 29, 2026

  The Gap Is Not Just About AI Talent Readiness

  Enterprise AI readiness is not a talent problem — 88% of leaders say they deploy AI while 86% admit they are not operationally ready. This article maps the five organizational revolutions behind the gap and how mid-market B2B companies should sequence adoption in 2026.

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• INSIGHTSMay 21, 2026

  Why On-Premise LLM Is Not a Good Idea for Midsize Companies

  On-prem LLM sounds cheaper, safer, and more independent. Full TCO, DPA-covered cloud, and model-agnostic architecture make that case unsustainable for most midsize companies — own the architecture, not the GPU cluster.

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• INSIGHTSMay 12, 2026

  The Autonomy Trap: Why Mass-Market AI Agents Are the Wrong Default for Serious B2B Companies

  When Meta's Director of AI Safety reports an autonomous agent cleared her inbox without approval, the lesson targets the default, not AI itself. Mass-market autonomy erodes differentiated B2B processes; bounded autonomy and governance are the alternative.

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• FEATURED
  INSIGHTSMay 4, 2026

  AI-Driven B2B Sales in 2026: Trends, Benchmarks, and What Actually Works

  87% of sales orgs use AI now; only 24% run agentic workflows. The gap between adopters and performers is compounding. Benchmarks, buyer-side LLM discovery, four trends, ROI tiers, and what to fund first.

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• INSIGHTSApr 17, 2026

  29% of Fortune 500 Already Pay for AI: What Mid-Market Companies Should Do Next

  AI is no longer a Fortune 500 experiment: nearly one-third are live, paying customers of leading AI startups. This article explains what that statistic really measures, why the adoption wave hits mid-market faster than previous cycles, and what leaders should do next.

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• INSIGHTSApr 3, 2026

  How to Measure AI ROI: A KPI Framework for Mid-Market Leaders

  A three-layer KPI framework — tech floor, process metric, business outcome — so you define success before the build. Customer-facing, internal, and high-stakes AI, with baseline, stop rule, and vendor questions.

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• FEATURED
  INSIGHTSMar 28, 2026

  Ecommerce Agent Optimization (AO): The New Competitive Discipline for Online Stores

  Ecommerce Agent Optimization is the discipline that determines whether AI agents find, choose, and buy your products. 85.7% of online stores have near-zero AI visibility, and it does not show in your analytics.

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• FEATURED
  INSIGHTSMar 24, 2026

  Custom Is the New Black: Why Smart Companies Are Ditching SaaS for Custom AI Development

  Why mid-sized companies are replacing fragmented SaaS stacks with custom AI systems: economics, risk trade-offs, and a practical build-vs-buy framework for 2026.

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• INSIGHTSMar 16, 2026

  The 2026 Agentic Commerce Stack: What to Build Before the Window Closes

  How ACP, Visa TAP, and WebMCP are rewriting online commerce in 2026–2027 — what leadership needs to decide now, with technical depth available on demand for your engineering team.

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• INSIGHTSMar 6, 2026

  AI and Jobs: What Data Shows for Sales Tech

  Anthropic's labor market study: AI coverage vs theory, who's exposed, who isn't. What it means for presales, qualification, and why sales automation isn't job replacement.

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