Google has just announced an important update for Chrome: integrating Gemini commands - a feature that allows users to directly command the browser to perform daily tasks. This is not just a small update in the experience, but a major shift in the way people search and interact with the internet.
In this in-depth article, I will analyze:
Why Gemini commands in Chrome are a turning point.
Agentic Search Optimization (ASO) is different from traditional SEO.
Practical directions for SEOers and businesses business in Vietnam.
How Tan Phat Digital is applying to help customers grasp the new era.
1. Chrome officially supports Gemini Commands - from passive browser to active AI Agent
In the latest update, Google Chrome integrates the Gemini button right on the interface. Users just need to enter or say a command, Gemini will:
Open a new tab, filter and synthesize information.
Compare products according to the user's criteria.
Can even make purchases directly in email.
The browser, which was just a "gateway" to access the web, has now become AI proactive agent, capable of:
Understanding context.
Acting on behalf of the user.
Making direct decisions or suggestions.
This changes the entire search experience: instead of typing “best massage chair under 20 million” into Google, the user will tell Gemini:
“Find me a massage chair under 20 million, compare the pros and cons and recommend buying.”
AI will synthesize, analyze, filter data from many websites and then provide a list of suggestions.
2. Agentic Search Optimization SOP – SEO for AI Agent
When search behavior changes, SEO cannot stand still. This is where a new concept appears: Agentic Search Optimization SOP (ASO SOP).
2.1. Traditional SEO focuses on:
How to get website displayed on SERP.
Optimizing keywords, backlinks, technical SEO.
Pulling traffic from users directly.
2.2. ASO focuses on:
How to make AI agent choose your website as a data source.
Optimize structured data (schema, entity, metadata).
Build trust signals so AI evaluates you as a reputable source.
Design a cost-effective experience detailed and clear so that AI does not miss it.
Use dynamic rendering to display content suitable for each type of agent.
If traditional SEO optimizes for users, then ASO optimizes for AI representing users.
3. From the dream of “Star Trek computer” to “Neural Search”
3.1. Larry Page & Star Trek computers
Larry Page, co-founder of Google, once shared his vision: the ideal search engine should be like the computer in Star Trek – just ask in natural language, it will answer accurately, understand context, no need for manual operation.
3.2. Matt Cutts & Neural Search
Matt Cutts (former head of Google's webspam team) also mentioned the concept of “neural search” - where the search engine operates like the brain:
Understanding context.
Understanding relationships between entities.
Meeting real information needs, not just relying on words lock.
3.3. LLM makes the vision a reality
Large language models (LLMs) such as Gemini, GPT, Claude, Perplexity AI are the tools to make this vision a reality:
Understand natural language.
Connect complex data.
Make personalized suggestions chemistry.
Gemini commands in Chrome is the clearest step to bring AI agentic search to hundreds of millions of users.
4. Impact of Agentic Search on SEOers & businesses
4.1. How AI agents choose websites
AI does not "scan SERPs" like traditional users, but it:
Reads structured data (schema, entity graph).
- Specific example in Vietnam
Suppose you sell massage chairs. Users asked Gemini:
“What kind of massage chair should I buy under 20 million?”
If your website has a complete Product schema (price, features, warranty, review), clear comparison content, smooth experience → Gemini will choose you.
If not → you will lose customers, even though you are ranked 1 on Google. system.5. ASO SOP Process – Implementation Guide
5.1. Identify important AI agents
For the Vietnamese market: Gemini, ChatGPT, Perplexity AI.
For the international market: expand Claude, Copilot.
5.2. Analyze log & traffic from AI
See how the AI agent is crawling the website.
Distinguish traditional Google Search bots from Gemini bots.
5.3. Optimize structured data
Product Schema, Article, FAQ, Review.
Entity-based SEO: consistent brand, address, NAP data.
5.4. User Experience & AI
Loading speed < 2s.
Content is detailed, logical, easy to extract.
Friendly UX for AI to read and summarize.
5.5. Dynamic Rendering
Display content depending on the agent type.
For example, with Gemini, prioritize schema & clearly structured data.
6. Actual orientation for SEOers in Vietnam
Do not abandon traditional SEO: SERP is still important.
Parallel optimization for AI agents: add schema, entity, data clarity.
Invest in detailed content: articles need to directly answer the intent instead of just stuffing keywords.
Monitor AI traffic: use server log & bot analysis.
Cooperate with specialized units: such as Tan Phat Digital, which is researching ASO to deploy for e-commerce and service customers.
Updating Gemini commands in Chrome marks a turning point in search behavior. From Larry Page's dream of "Star Trek computer" to Matt Cutts' concept of "Neural Search", now a reality thanks to LLM.
For SEOers and businesses, optimizing just for humans is not enough. The next step is Agentic Search Optimization SOP – ensuring that not only users see you, but AI agents also choose you when making suggestions.
Those who get it early will have a sustainable competitive advantage in the era of Agentic Search.
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