Boost your mid-market marketing strategy with six AI-driven search techniques, perfect for those without a mega-brand budget. Explore the rising trend of longer search queries, which are up 27% year-over-year. Summary: Google recently published a roundtable with marketing leaders from Ikea, Debenhams Group, and DoorDash on adapting to AI Search. The advice is sound but built for enterprise budgets and enterprise data sets. This piece translates the same six themes, longer co

WSI - August 27, 2026 Summary: Merchant Center used to be a feed you set up once and forgot. It's now doing three jobs at the same time: reporting, paid ad eligibility inside Google's new AI Mode ad formats, and the organic data source Gemini pulls from to cite products. For most brands, that feed isn't manually maintained. It flows in through an integration with the ecommerce platform, pulling directly from what's already published on the product page, which means the produ

WSI - August 17, 2026 Summary Google has set firm migration dates for the legacy Search campaign features it's replacing with AI Max. Campaign-level Broad Match and Automatically Created Assets auto-migrate starting September 1, 2026, with new legacy configurations already blocked since August 3. Dynamic Search Ads get a longer runway, migrating automatically in February 2027 after in-account notices starting this September. Google Ads API versions released after September 1

WSI - August 13, 2026 What's Different Starting August 17 and 24 Summary: Two Google Ads and Merchant Center changes are landing back to back this month. Starting August 24, Google is changing how Merchant Center classifies and reports traffic, retroactive to July 1. YouTube affiliate clicks move out of the organic count into their own category, organic YouTube measurement gets redefined to match YouTube's standards, and product-level reporting expands to include Performance

WSI - August 7, 2026 Summary: Google shipped a new Search Console report on June 3 that finally shows how often your brand shows up in AI Overviews. It still doesn't show clicks or sales, and neither does any other AI platform for citations you didn't pay for. Two low-lift methods close part of that gap right now: capturing the hidden link marker Google sometimes attaches to AI Overview clicks, and adding an AI option to your existing "how did you hear about us" question. Nei

New McKinsey research across nearly 4,000 B2B buyers and sellers in 13 countries points to the same infrastructure gap already showing up in CRM adoption numbers. Summary: McKinsey's 2026 B2B Pulse Survey found that fewer than 10 percent of organizations have scaled AI in any function, even though almost every B2B company is already using some form of it. The companies pulling ahead redesigned the workflow the tool sits inside, backed by a data structure where someone actual

WSI July 2026 Summary Google local now runs as two parallel selection systems. AI Mode and the traditional Local Pack return different businesses for the same query, overlapping about 71%, and the criteria that get a business into one are not the criteria that get it into the other. Consumer adoption of AI for local discovery went from 6% to 45% in twelve months, and nearly all of those users verify the AI recommendation against a review profile before acting on it. The pract

Summary Call tracking gets treated as a marketing reporting tool, but it sits at the handoff point between marketing and sales. Most attribution models assume every tracked call is a real opportunity. A lot of them aren't, and that gap costs businesses more than a broken dashboard. Fixing it starts with qualification, not better attribution. Key highlights 67% of lost sales opportunities trace back to reps not properly qualifying leads in the first place, per Landbase's 2026

Lead Management Architecture - AI Readiness Clean CRM data isn't the same as AI-ready CRM data The numbers below are some of the most important data to come out in 2026 on this subject. For the first time, there's hard, public evidence behind an argument that's mostly been made on pattern recognition until now. Summary: Salesforce's stalled Agentforce rollout is a preview of a much bigger problem sitting inside most enterprise CRMs. Most CRMs were never built to force real ag

Summary A cluster of 2026 research from Iterable, BCG, Grant Thornton, McKinsey, and PwC points to the same underlying issue across marketing organizations: the barrier to using AI more fully isn't the technology, it's ownership. Most teams have the tools to move faster, personalize more precisely, and act on data in real time. What's missing is a clear answer to who's accountable when a decision goes live. Closing that gap, one named owner per decision, is what separates org