AI Search
- AI search shifts strategy from keyword retrieval to earning citations through brand authority and user experience.
- LLMs utilize personalized user data and preferences to provide tailored recommendations that traditional search engines lack.
- Generative Engine Optimization (GEO) requires consistent messaging across both your local website and third-party platforms.
- Securing placements in niche publications and listicles is becoming essential for feeding AI models trusted source data.
Marketers must shift focus from ranking for keywords to building brand presence on third-party sites and specialized platforms to ensure AI models cite them as trusted authorities.
Search Features
- Google launched Information Agents as a paid subscription feature within Search AI Mode to handle tasks and perform proactive information seeking.
- Google Ads updated its Smart Bidding and Limited Ad Serving policies to restrict impressions from unqualified advertisers.
- The Google Local Finder has replaced traditional pagination with an infinite scroll interface.
- A technical bug is currently preventing some Google Business Profile users from sending or receiving owner and manager access invitations.
Marketers should monitor their advertiser qualification status to avoid impression limits and prepare for a shift toward paid 'agentic' search features.
Google Ads
- Google is expanding its Limited Ad Serving policy to restrict impressions from advertisers deemed unqualified or those providing negative user experiences.
- The policy targets ads that lack clear branding or reference other brands in a way that might confuse searchers about the advertiser's identity.
- User reports and feedback play a primary role in Google's determination of whether an advertiser's account will be restricted.
- Advertisers are encouraged to pin their domain or brand name to ad titles to establish trust and clear identity.
Advertisers must prioritize transparent branding and positive user feedback to prevent Google from automatically throttling their ad reach and visibility.
Google Ads
- Google will change bidding target optimization starting August 17 to match your set CPA or ROAS targets more strictly.
- Campaigns that previously outperformed their targets may see performance decline or costs rise if targets are not manually adjusted.
- Smart Bidding Exploration is expanding to all Performance Max campaigns and certain Shopping ads.
- A new Promotion Mode beta allows for scheduled temporary budget and ROAS tolerance changes during peak demand periods.
You must lower your CPA targets or increase ROAS targets by August 17 if your actual performance is currently more efficient than your settings to avoid a sudden drop in ROI.
Search Features
- Google is launching Information Agents within Search AI Mode for Google AI Ultra subscribers.
- These agents monitor the web 24/7 for specific topics like apartment listings or product drops and provide real-time updates.
- The feature uses blogs, news, social posts, and real-time data to notify users the moment new information becomes available.
- Currently available to paid subscribers, the tool is expected to expand to more users throughout the summer.
This shifts search from a reactive to a proactive tool, meaning marketers must ensure their content is indexed quickly to be captured by these automated monitoring agents.
Technical SEO
- Google warns that using markdown to simplify content for AI crawlers can remove essential semantic context.
- Stripping HTML reduces the structural signals Google uses to understand content relationships and importance.
- The practice of optimizing specifically for AI bots by converting layouts to markdown is discouraged.
Relying on simplified markdown instead of rich HTML can degrade your site's SEO by hiding the structural cues Google uses to rank content.
Industry News
- Marketing workflows are shifting from manual content creation to building automated systems and processes.
- AI is being used to scale output while humans focus more on high-level strategy and quality control.
- Data suggests that personal branding and creator-led content are becoming essential for business growth.
- The role of a content marketer is evolving into that of a systems architect.
Marketers must transition from being pure creators to managers of AI-driven systems to maintain efficiency and relevance in the coming years.
Local SEO
- AI search engines like Gemini and Perplexity rely heavily on customer reviews as trust signals when recommending local businesses.
- Search engines prioritize businesses with high-velocity, recent, and keyword-rich reviews to populate AI Overviews and chat responses.
- Generating consistent user feedback helps businesses appear in both traditional local map packs and emerging AI-driven discovery tools.
Focusing on high-volume, keyword-rich customer reviews is now the primary way to influence whether AI search tools recommend your local business to users.
AI Search
- Agentic marketing tools go beyond simple text generation to plan and execute multi-step marketing workflows autonomously.
- These systems can integrate with company data and various software platforms to handle tasks like competitor research and campaign launches.
- Marketers are encouraged to start with small, low-risk pilot projects to test AI agent reliability and data accuracy.
The shift from generative AI to autonomous agents will allow marketers to automate entire strategic workflows rather than just individual pieces of content.
Search Features
- Search is shifting from information retrieval to a recommendation-based model where AI systems act as travel planners.
- AI models build confidence in recommendations by consolidating data across websites, OTAs, TripAdvisor, and social media.
- Brand positioning must be clear and consistent across the web to help AI understand which specific travel personas you serve.
- Marketers should shift focus from direct clicks to branded search growth and assisted conversion paths in GA4.
Traditional SEO is no longer enough as AI uses third-party mentions and reviews to decide which businesses to recommend to travelers.
Search FeaturesCovered by 2 sources
- Google updated its documentation to clarify that llms.txt and similar machine-readable files have no impact on search rankings.
- Google Search may crawl and index these files, but it does not use them as a signal for its generative AI features or standard search results.
- The search engine remains indifferent to the presence of AI text files or Markdown content specifically created for LLM crawling.
- Marketers can still use these files for other third-party services without fear of a ranking penalty.
You do not need to spend time creating or optimizing llms.txt files for SEO purposes because Google completely ignores them when determining rankings.
AI SearchCovered by 2 sources
- Ahrefs analyzed 137,000 domains and found that 97% of llms.txt files have never been requested by bots.
- AI retrieval bots currently account for only 1% of total web requests.
- The llms.txt file is a relatively new standard intended to help AI models parse site content more efficiently.
While optimizing for AI bots is a growing trend, current data suggests that most AI crawlers are not yet actively using the llms.txt standard to access site data.
Google Ads
- A PPC lead underspent a client budget by €30,000 after tightening a target CPA without closely monitoring the impact.
- The underspend forced the client to return funds to finance, potentially jeopardizing future marketing budget allocations.
- The agency rebuilt client trust by implementing manual budget pacing updates and stricter monitoring of automated bidding changes.
- The incident highlights that relying on AI bidding tools requires human oversight and a mastery of foundational tracking.
Over-tightening automated bidding targets can inadvertently kill campaign volume, making manual budget pacing and human oversight essential even when using AI.
Search Features
- Search Console impressions can rise even as clicks drop when Google tests new search features or AI-generated results.
- Irrelevant rankings for high-volume keywords can inflate impression data without providing actual traffic value.
- New site content or indexation spikes often lead to temporary impression gains that do not immediately convert to clicks.
Marketers must analyze click-through rate and specific keyword intent to distinguish between meaningful growth and empty data spikes caused by SERP volatility.
Industry News
- The author shares practical applications for AI marketing assistants based on over 200 hours of usage.
- AI is increasingly used for coding simple marketing tools and automating repetitive content tasks.
- The focus is on moving past the debate of AI displacement to mastering AI as a productivity enhancer.
Marketers should shift from fearing AI replacement to learning how to use these tools for faster execution of technical and creative tasks.
Google Ads
- Microsoft Advertising introduced Product Explorer to help retailers manage their product feeds more effectively within the Merchant Center.
- The tool provides real-time insights into feed health and missing attributes that could prevent products from showing.
- Advertisers can now analyze individual product performance and status directly without downloading lengthy reports.
This tool simplifies the troubleshooting of product feed issues and performance tracking for ecommerce businesses running Microsoft Shopping campaigns.
Local SEO
- Google has removed the pagination bar from the Local Finder interface and replaced it with an infinite scroll experience.
- The change currently restricts some users to only seeing 20 business profiles before reaching the end of the list.
- It is currently unclear if this change is a permanent feature update or a recurring bug similar to one seen in November 2023.
This change could limit the visibility of businesses that previously appeared on subsequent pages of local search results.