Next-Gen Web Marketing in the AI Era, Vol.2: Preparing for AIAO and the Rise of Agentic Commerce

Introduction: Beyond AI Search — The Rise of "AI Agents"

In Vol.1, we explored AI Search Optimization (AIO), which focuses on adapting digital content for AI-generated search results. However, the transformation driven by AI does not stop at simple information synthesis. We are currently at a stage where a new trend called "Agentic Commerce"—where autonomous AI systems act on behalf of consumers to gather information, compare options, and eventually support actual purchases and transactions—is beginning to capture significant attention (Source: Hakuhodo Inc. News Release "Agentic Commerce ONE™").

This is an area closely related to "AI Agent Optimization" (AIAO), a new concept — independently proposed and defined by our team — that we are actively focusing on. The potential involvement of AI agents in consumer purchasing behavior is also highlighted in Hakuhodo Inc.'s news release regarding "Agentic Commerce ONE™". (Source: the same release, published July 7, 2026).

As a pioneering example of these forward-looking initiatives, the release of "Agentic Commerce ONE™," an integrated solution in the agentic commerce domain launched by Hakuhodo Inc. initially for the Japanese domestic market, serves as a valuable reference point for understanding future market shifts.

However, while the full-scale adaptation to AIAO and agentic commerce can be approached in a phased manner, the foundational step of AIO — ensuring that AI systems can accurately discover and understand your products and services — is best begun immediately. The window to act is now, not later.

AI investment in Southeast Asia is accelerating rapidly. According to the joint "e-Conomy SEA 2025" report by Google, Temasek, and Bain & Company U, the projected growth rate for data center capacity (AI infrastructure) in Southeast Asia (SEA) is expected to reach approximately 180%, significantly outperforming the 120% growth rate predicted for other areas of the Asia-Pacific (APAC) region. Furthermore, according to the same report, consumers in Southeast Asia show exceptionally high receptivity to AI; interest in general AI topics and multimodal AI models is 3x and 1.7x higher, respectively, than the global average. Given this environment, AI-driven touchpoints are highly likely to expand, making foundational AIO measures essential for businesses looking to maintain their digital visibility.

Chapter 1: What Exactly is "AIAO"? Understanding its Relationship with AIO

While the term AIAO may sound highly technical, it can be defined simply as "the strategic preparation of your digital data environment to ensure your products and services are accurately understood by AI models, anticipating a future where AI systems autonomously gather information and evaluate choices on behalf of users".

In the upcoming era of AI agents, the typical purchasing journey is expected to transition from human-led to agent-assisted:

• ● Today (Human-Led): A human user searches on their smartphone, compares multiple websites, and manually inputs credit card details to complete a purchase.
• ● The Future (AI Agent-Assisted): A user simply tells their AI, "Find a stylish humidifier for my room within a $200 budget." The AI instantly crawls the web, compares options, and presents the best matches. In the future, the AI may also assist in processing parts of the transaction.

When these "AI shopping proxies" (AI agents) navigate the web to evaluate options, ensuring your products are accurately interpreted and readily identified as top candidates is the core objective of AIAO.

Crucially, AIAO (Future) and AIO (Present) are not separate, unrelated strategies. They build on the same continuous path of "data structuring."

• ● AIO (Present): The foundational construction to make AI search engines "correctly understand" and quote your business content.
• ● AIAO (Future): The advanced application that leverages this well-structured data to let AI systems provide logical comparison and decision-making support.

To position your business for future AI-led comparison and selection, you must perform the basic construction today through AIO, creating a data environment that is easily readable by AI systems.

Chapter 2: Two Fundamental Pillars of the Future AIAO Era

In a world where AI agents assist in the buying journey, traditional web designs optimized solely for human visitors may no longer be sufficient. To prepare for the widespread adoption of AI, businesses must understand two fundamental premises:

Pillar 1: Shifting from "Visual Appeal" to "Machine-Readable Data Structures"

Historically, websites and e-commerce platforms have prioritized visual design and layouts (CRO) tailored to human emotions. However, AI systems do not evaluate brands based on aesthetic impressions. Instead of analyzing surface layouts, AI crawls page text, structured data, specifications, pricing, and live inventory to assess whether a product fits the user's criteria. Consequently, ensuring that all proprietary product data is accurately structured and easily accessible at a systemic level (Data Enrichment) will be critical for securing visibility in future AI comparative analyses. Sites with ambiguous or unstructured data will be difficult for AI models to interpret, making them far less likely to be selected as candidates.

Pillar 2: Establishing Authority as an Interconnected Web "Entity"

As shown in the study by NielsenIQ, "How AI is Reshaping Product Discovery, Evaluation, and Selection", AI agents do not form purchase recommendations solely by scanning self-published data on your homepage. They crawl the entire web, synthesizing external signals to evaluate a brand's holistic trustworthiness. They aggregate press releases, customer reviews, social media sentiment, and interactive discussions on community-driven forums and regional online platforms (Source: same report) — in Southeast Asia, this includes platforms such as Pantip in Thailand, which serve as key consumer sentiment hubs in the region — to map out a brand's credibility. Therefore, rather than simply increasing the volume of isolated, keyword-stuffed SEO articles on your site, you must focus on establishing a strong, interconnected digital footprint (Entity) across the web, ensuring that AI systems map your brand as a leading authority in your category.

Chapter 3: Preparing to Build Consumer "Trust" in the AIAO Era

As AI-assisted information gathering and decision-making expand, the primary constraint is not technical capability; it is the human barrier of "Trust".

According to data from the "e-Conomy SEA 2025" report, three out of five digital consumers in Southeast Asia prefer final human confirmation, or use AI as one of several sources for decisions, rather than delegating transactions fully to AI agents. To prepare for a future where AI assists in user decision-making, businesses must act today to enhance the transparency and accuracy of their digital assets:

• ● Transparent Citation of Sources: Clearly define the pathways to your verified primary data (the factual information optimized via AIO) that backs the recommendations made by AI, enabling users to audit the accuracy of claims at any time.
• ● Providing Adjustable Settings: Offer users intuitive, flexible controls to customize and adjust how the AI filters, searches, and prioritizes recommendations (e.g., speed-focused versus price-focused).
• ● Transparency in Data Privacy: Explicitly and clearly state how personal data and purchase histories are safely and responsibly handled.
• ● Robust Security and Error Prevention: Deploy multi-layered security measures to prevent unauthorized transactions or billing errors caused by software bugs.

Among early AI adopters in the APAC region, supplementary research cited in the e-Conomy SEA 2025 report notes that 60% have achieved concrete business growth through generative AI, and another 60% report earning a Return on Investment (ROI) of over 3x from implementing "Agentic AI" (Source: Google Cloud APAC ROI of Gen AI study, n=702 early adopters, 2025; and Google-commissioned IDC Asia-Pacific Generative AI Adoption Study, n=950 early adopters, 2025, both referenced in the e-Conomy SEA 2025 report). This highlights the immense potential of AI to drive business growth. In the meantime, the most practical steps businesses should take today are structuring their data for machine readability and producing highly reliable content.

Conclusion: Changing Channels, Unchanging Essence, and the "Preparation" to Begin Today

Even as search channels shift from humans to autonomous AI agents, the fundamental axiom of business remains unchanged: "continuously provide trustworthy value to your audience, structured as accurately interpretable data".

As we have analyzed, AIO (Present) and AIAO (Future) share the exact same structural roadmap:

• ● AIO (Present): The foundational construction to make AI "correctly understand" your business.
• ● AIAO (Future): The advanced application that allows AI to provide comparison and decision-making support.

When the highly autonomous AIAO era inevitably arrives, being chosen by AI agents will require having already established an "AI-readable data environment" through diligent AIO execution today. This foundational construction is the mandatory starting point for tomorrow's advanced AIAO applications.

We help businesses build long-term digital resilience by structuring their data and designing optimized content, ensuring they are accurately understood by AI search engines today. From standard AI search optimization to preparing your information infrastructure for the era of AI agents, let us take the first step together today to translate your enduring business value into the digital language of the AI era.

Summary FAQ

Q1: What is the difference between AIAO and AIO?

A1:
AIO is a "present-day" strategy focused on ensuring AI search engines correctly understand and cite your content. AIAO is an emerging, future-facing strategy representing the advanced application where AI agents autonomously compare and evaluate options on behalf of users. Both share the exact same foundation of machine-readable data structuring.

Q2: What should businesses consider adopting as they prepare for the AIAO era?

A2:
The most reliable step is "Data Enrichment"—converting your product specifications and pricing into highly structured, machine-readable formats that AI can analyze instantly. Additionally, building a highly credible brand presence (Entity) across the web is essential, as AI agents synthesize multi-channel signals to evaluate your trustworthiness.

Q3: Why is this AI readiness (AIO/AIAO) particularly crucial in the Southeast Asian (SEA) market?

A3:
Southeast Asia has an exceptionally high AI infrastructure (data center capacity) growth rate (180%) and consumer interest in general AI topics (3x the global average). As highlighted by NielsenIQ, AI is rapidly reshaping how products are discovered and selected, making an AI-friendly data layer a vital strategic requirement in this high-growth region.

References

• ● Hakuhodo Inc. (Japan) — News Release: "Agentic Commerce ONE™" Launched to Prepare for the Era of Agentic Commerce (Originally launched for the Japanese market, July 7, 2026)
  https://www.hakuhodo.co.jp/news/newsrelease/267297/
• ● Google / Temasek / Bain & Company — e-Conomy SEA 2025 Report
  https://services.google.com/fh/files/misc/e_conomy_sea_2025_report.pdf
• ● NielsenIQ — How AI is Reshaping Product Discovery, Evaluation, and Selection
  https://nielseniq.com/global/en/insights/education/2026/how-ai-is-reshaping-product-discovery-evaluation-and-selection/