Contents
- A new perspective from customer reviews: competitors are exposing SEO opportunities
- Trust in AI search is falling: SEO is no longer just about being “mentioned by AI”
- PPC for law firms: optimize for signed cases, not just leads
- Google expands Smart Bidding Exploration and adds Promotion Mode
- Agentic commerce is rewriting the rules of Google Ads
- What does Google say about website folder structure and SEO?
- Q4 budgets should be rebuilt from new search data, not old habits
- Google Cloud introduces Open Knowledge Format: a new foundation for context-aware AI
- A perspective for the Vietnamese market
- References
From competitor reviews, declining trust in AI search, to website structure and product data for agentic commerce, international analysis in July 2026 shows that SEO has expanded into a systems-level challenge. For Vietnamese marketers, this means optimization no longer stops at keyword rankings but must also cover brand authority, clean data, and the ability for both users and AI to understand content correctly.
A new perspective from customer reviews: competitors are exposing SEO opportunities
Search Engine Journal emphasizes that reviews are not only a reputation asset but also a strategic data source for local SEO. Most teams still focus on the number of reviews, star ratings, or review growth rate, while the actual content in reviews is where users speak very honestly about a business’s strengths and weaknesses.
The notable point is that this data comes not only from your own customers but also from your competitors’ customers. From an SEO perspective, recurring complaints in competitor reviews can suggest content gaps, sales messaging gaps, service gaps, or frequently asked questions that your website should answer more clearly. Source: Search Engine Journal.
Trust in AI search is falling: SEO is no longer just about being “mentioned by AI”
Research published by Fractl and Search Engine Land shows that trust in AI search is declining. If in 2025, 82% of users believed AI search was more useful than traditional search results, by 2026 that figure had dropped to 54%.
The implication is that users are increasingly inclined to verify information across multiple platforms rather than immediately trust an AI-generated answer. That makes “AI visibility” inseparable from brand authority, earned media reach, and entity authority structure. For marketers, this is a reminder that SEO must go hand in hand with digital PR, expert content, and consistent information management across channels. Source: Search Engine Land.
PPC for law firms: optimize for signed cases, not just leads
In Search Engine Land’s analysis of PPC advertising for law firms, the core issue is that leads and signed cases are not the same thing. A campaign with a low cost per lead or a high volume of leads can still be ineffective if the intake, qualification, and follow-up system fails to convert them into actual clients.
The article stresses the need to revisit keywords, landing pages, intake processes, and measurement models. Although this is an example from the legal industry, the lesson still applies to SEO and digital marketing in general: do not optimize for top-of-funnel metrics if they do not reflect the final business outcome. Source: Search Engine Land.
Google expands Smart Bidding Exploration and adds Promotion Mode
Google continues to adjust its advertising ecosystem by expanding Smart Bidding Exploration and adding Promotion Mode. According to Search Engine Land, this signals that Google wants to create more room for algorithms to find new conversion opportunities while better supporting promotional campaigns.
For SEO and paid media professionals, this change matters because the search landscape is no longer neatly separated between organic, shopping, Performance Max, or new AI fronts. As Google pushes automation further, input data, feed quality, conversion signals, and measurement capability will matter even more in determining performance. Source: Search Engine Land.
Agentic commerce is rewriting the rules of Google Ads
Search Engine Journal describes agentic commerce as a structural shift for e-commerce: the actual buyer may be an AI agent acting on behalf of the customer to find products, compare them, and complete payment. Salesforce is cited with an estimate that around $67 billion in global sales during Cyber Week 2025 came from AI and agents, equivalent to about 20% of total orders.
The meaning of this trend is that product feeds are no longer just product catalogs but signals used by systems to make decisions. At the same time, new display surfaces in Google’s AI Mode could change ad delivery logic and tracking. This is a strong signal for both SEO and e-commerce: product data must be clean, structured, and semantically rich enough. Source: Search Engine Journal.
What does Google say about website folder structure and SEO?
In an analysis reported by Search Engine Journal, Google offered an unusually fresh perspective on website folder structure. Rather than treating it as a simple ranking factor, the focus is on organizing information so that systems – including both humans and AI – can understand and use the content more easily.
This reinforces a long-standing principle in technical SEO: a good website structure not only supports crawlability and internal linking, but also helps users locate topics, understand content hierarchy, and increase site-wide consistency. Source: Search Engine Journal.
Q4 budgets should be rebuilt from new search data, not old habits
Greg Jarboe on Search Engine Journal warns that many Q4 budget plans are still being built on last year’s search data, even though the market context has changed. The article suggests combining multiple signals at once: consumer confidence indicators, market data, and new search reports to get a more realistic picture for Q4 2026 and even the 2027 budget.
For SEO, this means you should not forecast content, topics, or search demand based only on inertia. User behavior, purchase readiness, and search touchpoints may have shifted significantly over the course of a year. Source: Search Engine Journal.
Google Cloud introduces Open Knowledge Format: a new foundation for context-aware AI
Google Cloud announced Open Knowledge Format (OKF), an open standard designed to organize and exchange the knowledge that AI systems need to work more effectively. According to the article, the core reason is that foundation models, while more powerful, still lack the right context if data is scattered across multiple different systems.
OKF is designed to help knowledge move between people, tools, AI agents, and organizations. For SEO professionals, this is an important signal for the future of content and structured data: whoever owns a clear, machine-readable information system will have a major advantage in an increasingly AI-mediated search environment. Source: Search Engine Journal.
A perspective for the Vietnamese market
From Vietnam’s perspective, these eight stories point to one thing: SEO is moving closer to a systems problem rather than the optimization of individual pages. Vietnamese businesses should prioritize four things: mining reviews for content and service insights; strengthening brand authority across channels to adapt to AI search; reviewing website structure and product data; and linking SEO to real business KPIs instead of looking only at traffic or leads.
As AI increasingly intervenes in how users search and make decisions, the advantage will belong to the brand that has useful content, clean data, and a trustworthy operating system.
References
- The Review Gap: Finding Client Opportunities In Competitor Feedback
- What new AI search data reveals about visibility and trust
- Law firm PPC: How to optimize for signed cases instead of leads
- Google expands Smart Bidding Exploration, adds Promotion Mode
- Agentic Commerce And The New Rules Of Google Ads
- Google’s Unexpected Take On Site Folder Structure And SEO
- Your Q4 Budget Is Built On 2024 Search Data – 3 New Reports That Should Reshape It
- Google Cloud Announces The Open Knowledge Format
