Featured Snippet Target: This week’s AI marketing updates: (1) Google Ads launches enhanced B2B audience segments with company-level targeting, (2) Google confirms structured data as a ranking signal for AI Overviews, (3) LinkedIn updates its algorithm to prioritize expertise-driven content over engagement bait, (4) new study reveals B2B companies using AEO see 45% more brand visibility, and (5) HubSpot AI features expand to include predictive deal scoring.
Week 3 of the Expert Written Marketing AI Marketing Roundup. This week’s updates directly impact how B2B companies run campaigns, create content, and measure results.
Story 1: Google Ads Enhanced B2B Audience Segments
Google rolled out a major expansion of B2B-specific audience segments in Google Ads. The new segments allow advertisers to target based on:
Company-level signals: Target employees of companies in specific revenue ranges, growth stages, and technology adoption categories. This brings ABM-like targeting to Google’s Search and Display networks.
Decision-maker targeting: New audience segments specifically identify professionals in purchasing and decision-making roles, separate from general job title targeting.
In-market for B2B solutions: Expanded from 50 to 150+ B2B-specific in-market categories covering SaaS, professional services, marketing tools, and enterprise solutions.
What to do this week:
- Review the new B2B audience segments in Google Ads Audience Manager
- Layer the most relevant segments as “Observation” on your existing campaigns to gather performance data
- After 2 weeks of data, apply bid adjustments to high-performing B2B segments
- Test a new campaign using these segments as primary targeting for your highest-value offers
Story 2: Structured Data Confirmed as AI Overview Ranking Signal
Google confirmed what many SEOs suspected: structured data markup (schema) is a significant signal for AI Overview source selection. Pages with proper FAQ, HowTo, Article, and Organization schema are 45% more likely to be cited as sources.
Additional findings from Google’s documentation update:
- Pages with author schema showing real credentials (author name, bio, qualifications) receive preference
- FAQ schema with concise, well-structured answers is the highest-impact schema type for AI Overviews
- HowTo schema improves citation probability for process-oriented queries by 60%
What to do this week:
- Audit your top 20 content pages for schema markup implementation
- Add FAQ schema to every blog post and landing page that answers common questions
- Implement Article schema with author information on all blog content
- Add HowTo schema to any step-by-step or process content Verify schema implementation using Google’s Rich Results Test tool
Story 3: LinkedIn Algorithm Prioritizes Expertise Over Engagement
LinkedIn announced algorithm changes that reward genuine expertise and penalize engagement bait tactics:
What is changing: Content demonstrating professional expertise and unique insights receives higher distribution “Agree?” and “Thoughts?” style engagement bait posts receive reduced reach Posts with original data, case studies, and specific examples receive algorithmic boost Long-form posts (300+ words) with substantive content outperform short provocative takes
What is NOT changing:
- Carousels and document posts still perform well (especially educational ones)
- Video content still receives distribution priority
- Comment engagement still matters as a ranking signal
- Employee advocacy posts still receive algorithmic support
What to do this week:
- Audit your recent LinkedIn posts—are they expertise-driven or engagement bait?
- Shift your content mix toward sharing specific results, case studies, and professional insights
- Include data points, frameworks, and actionable advice in every post
- Stop ending posts with “Agree?” or generic engagement prompts
Story 4: AEO Drives 45% More Brand Visibility (New Study)
A comprehensive study analyzing 50,000 B2B search queries found that companies implementing Answer Engine Optimization strategies see 45% more brand visibility compared to companies relying solely on traditional SEO.
Key data points:
- Brand mentions in AI Overviews generate 30% recall with searchers (even without clicks)
- AEO-optimized companies receive 2.5x more AI Overview citations than non-optimized competitors
- The combination of AEO + traditional SEO produces 70% more total visibility than either alone
- Industries with the highest AEO impact: B2B technology, professional services, and financial services
What to do this week:
- Benchmark your current AI Overview presence for your top 10 target keywords
- Implement the AEO optimization tactics from our B2B SEO Strategy guide
- Create a tracking spreadsheet to monitor AI Overview citations weekly
- Prioritize adding definition paragraphs and structured answers to your highest-traffic content
Story 5: HubSpot Predictive Deal Scoring
HubSpot expanded its AI capabilities with Predictive Deal Scoring, available to Sales Hub Professional and Enterprise users:
What it does: AI analyzes your historical deal data to predict the probability of each current deal closing. Factors include: engagement history, email response patterns, meeting frequency, deal velocity compared to averages, and contact behavior on your website.
Why it matters for marketers: Predictive deal scoring helps marketing teams understand which lead sources produce the highest-quality pipeline. If marketing-sourced leads consistently receive higher close probability scores, that is ammunition for budget conversations.
What to do this week:
- Enable Predictive Deal Scoring if you are on HubSpot Sales Hub Professional+
- After 30 days of data, compare close probability scores by lead source
- Share findings with your CFO to support marketing investment decisions
This Week’s Quick Wins
- Add FAQ schema to 5 more content pages. Continue building your structured data foundation for AI Overview visibility.
- Test Google’s new B2B audience segments. Layer 3-5 relevant B2B segments on your best-performing campaign as observation audiences.
- Post one expertise-driven LinkedIn article. Share a specific result, framework, or case study insight. Avoid engagement bait.
- Create an AI Overview tracking spreadsheet. Search your top 10 keywords weekly and record whether you are cited in AI Overviews.
- Review your content for definition paragraphs. Ensure every key concept in your pillar content has a clear, extractable definition.
Coming Next Week
- Month 1 results recap: what worked, what we are adjusting
- New AI marketing tools launched in May 2026
- Deep dive into the LinkedIn algorithm changes
- Updated B2B marketing benchmark data for Q2
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