Search Engine Marketing

Over the last 12-18 months, the rhetoric across Search Engine Land has shifted.  There’s now broad agreement that people don’t just “Google” to discover brands anymore. Audiences are finding brands on TikTok, researching on Reddit, watching YouTube, and increasingly asking AI to summarize everything for them – determining whether a brand is found or ignored. […]

In 2026, AI is no longer something marketers are debating. It’s actively shaping nearly every part of digital advertising and creative. Because the human brain processes visuals far faster than text, video ads are becoming more important and more effective, especially as creative costs continue to fall.  The question is no longer whether PPC teams

Marketers can now set a total budget for a campaign over a defined period. Google automatically optimizes spend to fully use the budget by the campaign’s end date. The feature, earlier only available for Performance Max, is now available Search and Shopping campaigns, reducing the need for daily adjustments. Why we care. Managing budgets for

Google Ads is adding account-level placement exclusions, letting advertisers block unwanted inventory across all campaigns from a single setting. What’s new. Advertisers can now apply one exclusion list at the account level. Exclusions apply across Performance Max, Demand Gen, YouTube, and Display campaigns. Previously, blocks had to be set at the ad group or campaign

Google AdSense publishers are reporting sharp drops in earnings over the past 24 hours, with many seeing eCPM and RPM declines of 50–70%, according to widespread forum complaints. Why we care. For publishers that rely on AdSense to fund operations, sudden revenue swings can threaten sustainability — especially when traffic hasn’t changed and costs remain

YouTube is upgrading its Promotions tool, letting creators target potential viewers by interests, not just age, gender, or location. What’s new. Creators can now target users by interest categories like Food & Dining. These categories are built from aggregated, anonymized signals, including search behavior and viewing habits. Example: Users who frequently search for recipes and