SEO Gains New Value as AI Distorts the Customer Journey

Written by Đội ngũ Marketing365, reviewed under the Content Policy of Marketing365. Last updated 20/08/2026.

Contents

SEO in the era of AI search and commerce data: what is changing is not just how people search, but how they are seen
Updates in measurement tools and the visibility layer — affecting how SEO teams must control data
How SEO is changing: rankings, citation potential, and data trust are starting to pull against one another
SEO in Vietnam: the market will reward those who can deliver both search and trust
What SEO needs to do to avoid getting stuck at rankings
References

SEO is entering a different phase: it is no longer just about optimizing to rank, but also about proving that impressions, clicks, and revenue come from a system that can be verified. For Vietnamese marketers, this matters because search behavior is being redistributed by AI, advertising, and new touchpoints before users even get to a website.

Looking at recent international developments, the issue is no longer “Is Google still important?” but rather “How is SEO measured and trusted when multiple layers of intermediaries come between a query and a purchase decision?”

Key points

SEO is shifting from ranking optimization to optimizing for recognition by AI, platforms, and users.
AI search, merchant data, and new measurement tools are raising the bar for verification over intuition.
Businesses need to revisit how they measure traffic, conversion sources, and data risk.
The Vietnamese market will need to prioritize content that can be found, cited, and proven effective.

SEO in the era of AI search and commerce data: what is changing is not just how people search, but how they are seen

The common thread across recent developments involving ChatGPT, Google Ads/Analytics, Merchant Center, and Yelp is very clear: the path from need to action is becoming shorter, but also less transparent. Users can ask AI before visiting the web; platforms can insert ads or actions directly into the experience; and commerce data is becoming a condition for products to appear in the right place. The lesson for SEO is that organic traffic is no longer the “final reward” of a good page, but the result of whether the system recognizes, trusts, and surfaces it. Sources such as Search Engine Land, which reported ads appearing in 26% of commercial prompts on ChatGPT, along with Yelp bringing reservations and waitlists into ChatGPT, show that search behavior is moving into the overlap between search, assistant, and commerce.

At the same time, Google continues to add more automation to Ads and Analytics, while Merchant Center remains a point where issues can occur. This reminds SEO teams that visibility increasingly depends on clean data, correct feeds, and strong enough measurement signals. If SEO once only needed to pay attention to crawl, index, and content, it must now also consider how content and product data move through the ecosystem.

Updates in measurement tools and the visibility layer — affecting how SEO teams must control data

This section is not about vague ideas. It is about changes already happening in tools and platforms, and each one forces SEO to work differently.

Google Analytics gets campaign benchmarking: reports are no longer just for reading

Google is bringing campaign benchmarking into Analytics through Ask Advisor, according to Search Engine Journal and the Google AI Blog. For SEO, this is not just another reporting feature. It highlights a reality: without strong comparison standards and context, metrics are just isolated numbers. When marketing teams use GA to evaluate organic traffic, assisted conversions, or landing page performance, they will need to look at internal performance and compare it with the broader benchmark for the channel or campaign at the same time. This pushes SEO beyond simple “up or down” reporting and brings it closer to accountability.

Viewer comparing a printed campaign report with a comparison ruler on a data board

Source: Search Engine Journal and Google AI Blog.

Merchant Center and commerce feeds: product SEO depends on clean data

Search Engine Land reported that Google is investigating a Merchant Center issue. From an SEO perspective, this is a very practical reminder: if product data is faulty, missing, or out of sync, the visibility of a commerce page will be affected before the content even has a chance to work. For e-commerce sites, SEO cannot stand apart from catalog, price, availability, and structured data. When a system like Merchant Center has problems, SEO teams need a process for checking feeds, tracking, and inventory synchronization as part of normal operations.

Source: Search Engine Land.

AI agents in Ads and Analytics: measurement will be automated more, but responsibility still stays with people

Google has made it clear that it is adding agentic experiences in Ads and Analytics to speed up marketers’ work. This has a direct impact on SEO because reports, alerts, and optimization suggestions will increasingly be processed by machines first. But when machines suggest faster, people must take even more responsibility for the decision-making logic. For SEO, that means you cannot accept “good-looking” reports without understanding the input data, knowing where the changes came from, or separating the impact of SEO from paid media, AI surfaces, or seasonality.

Operations staff checking printed reports beside a row of automated processing servers

Source: Google AI Blog and Search Engine Land.

How SEO is changing: rankings, citation potential, and data trust are starting to pull against one another

This is where SEO needs to be reconsidered as a market mechanism, not a technical checklist. Three forces are acting at once: users ask AI instead of only entering queries; platforms add more distribution and advertising layers; and commerce data, measurement, and benchmarking become conditions for content to be trusted. In that context, “ranking at the top” is no longer enough to guarantee business results.

AI is thinning the path to the website: the question is no longer clicks, but whether you are recognized

Research showing ChatGPT ads appearing on 26% of commercial prompts indicates that even in a conversational environment, the display space is already part of the game. Combined with Yelp bringing reservations into ChatGPT, it is clear that users are being guided toward action within the intermediary layer itself. SEO therefore has to optimize for being mentioned, cited, and prioritized where users make decisions. The website does not disappear, but its role changes: it becomes the trusted source and the place where conversion is finalized, no longer the only starting point.

Source: Search Engine Land and Search Engine Land.

Benchmarking and accountability: SEO can no longer just say “traffic is up”

When Analytics adds benchmarking, marketing teams gain another layer of comparison to answer the question: is this growth actually good, or just better than last month’s performance? For SEO, this is an important change because every content decision, internal link, technical fix, or schema implementation needs a clearer measurement method. Instead of reporting only impressions, CTR, or sessions, SEO teams will have to connect them to business goals, customer segments, and the channel’s own performance baseline.

A pedestrian walking through the street while an analyst holds a board checking traffic and conversions

In short: SEO in this era cannot stop at traffic reporting. It has to move on to accountability.

Source: Search Engine Journal and Google AI Blog.

Product data and standardized content: what determines whether the system trusts you

The Merchant Center outage and Google’s continued push into AI in Ads/Analytics together point to one thing: those who manage data poorly will pay the price in visibility. For commerce SEO, structured data, feeds, categories, product attributes, and landing pages must speak the same language. Otherwise, the system may misread, ignore, or display them without context. This is why SEO and e-commerce operations are becoming increasingly difficult to separate.

Source: Search Engine Land and Google AI Blog.

SEO in Vietnam: the market will reward those who can deliver both search and trust

In Vietnam, this pressure will be even more visible because many businesses still treat SEO as a keyword-ranking race. That approach is no longer enough in an environment where users can ask AI, read reviews, visit social platforms, and then return to search. For e-commerce, travel, education, finance, and B2B, what needs to be optimized is not just the page that ranks, but the data system behind it: expert content, consistent product information, clean tracking, and a landing page that is clear enough to convert.

A group of shop owners standing in front of a row of storefronts, reviewing catalogs and commerce data papers

What is notable is that the Vietnamese market often scales multichannel efforts faster than it standardizes data. In that situation, SEO is easily forced into the role of “traffic-driving team,” while the real problem is that content, feeds, and measurement are not yet aligned. Businesses that build a data-checking process, test technical SEO, and connect SEO with Analytics early will have an advantage as search is reshaped by AI.

What SEO needs to do to avoid getting stuck at rankings

Review the entire way organic traffic, assisted conversions, and internal benchmarking are measured so reports are no longer just up-or-down numbers.
Check product data, structured data, and feeds if you have a commerce business, because visibility now depends heavily on data cleanliness.
Write content in a way that makes it easy for AI and platforms to cite the right context, while still keeping enough expertise for users to have a reason to stay on the website.
Connect SEO with Analytics, paid media, and product operations to quickly detect when one issue distorts the entire outcome.

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