What Google Is Now Officially Saying: The NewRules for Visibility in the AI Era

There has been much speculation in recent years about how brands should optimize

for AI search systems. Now Google itself has responded: With an official guide to

optimizing for generative AI features in Google Search, the company provides

definitive guidance on what works—and debunks a number of common myths in the

process.

This article summarizes the key points of the guide and translates them into concrete

implications for OTC and CHC brands.

The bottom line: SEO is here to stay—but the bar has been raised

Google’s first and most important message is a reassurance for anyone who had

already given up on traditional SEO: The existing fundamentals still apply.

Generative AI features like AI Overviews and AI Mode are based on the same

ranking and quality systems as traditional Google Search.

The difference lies in selectivity. AI systems distill answers from many sources—and

in doing so, prioritize content with genuine expertise, clear structure, and

demonstrable value. Those who have previously focused on quantity rather than

quality will feel the impact on their visibility.

What Google specifically requires—and what that means for product content

Unique content with genuine insight

Google clearly distinguishes between “commodity content”—general information that

can be reproduced at will—and content with genuine added value. The former is

systematically given less weight by AI systems.

For OTC product pages that have so far mainly listed active ingredients, package

sizes, and indications, this is a direct challenge: this content is interchangeable.

Pages that explain usage contexts, highlight differences from alternatives, or present

clinically relevant details in an understandable way are significantly more valuable to

AI systems.

Technical Structure as a Prerequisite

AI agents—including Google’s own browser agents used for shopping queries—

actively access website content. They analyze DOM structures, accessibility trees,

and visual renderings. A clean technical foundation is therefore no longer just an

SEO measure, but a prerequisite for AI systems to be able to process product

information correctly at all.

Google explicitly lists crawlable and indexable content, semantic HTML, correct

JavaScript implementation, and a good page experience as basic requirements.

Structured product data – particularly relevant for e-commerce

For product brands, Google explicitly highlights the use of Merchant Center feeds

and structured Schema.org data. Products with correct markup can appear directly in

AI-generated responses—including price, availability, and product details.

In the OTC segment, where products are sold through online pharmacies,

drugstores, and marketplaces, data consistency across all channels is a critical

factor—and, based on experience, one of the most common pain points.

Agent-friendly website architecture – the next differentiator

Google dedicates a separate section to the topic of “Agentic Experiences”: AI agents

that autonomously perform tasks such as price comparisons or product research.

With the Universal Commerce Protocol (UCP), a standard is currently emerging that

allows shopping agents to interact directly with websites.

Brands that do not align their digital infrastructure with these requirements risk being

excluded from automated purchasing processes—not by an active decision, but due

to technical incompatibility.

The Official List of Myths: What Google Explicitly Does Not Recommend

A notable feature of Google’s guidelines is the explicit section on misconceptions.

Google clarifies what has no practical effect—and thus, implicitly, where resources

are being misallocated:

• LLMS.txt and special AI markup files: No ranking advantage for generative AI features.

• "Chunking" content for AI: Not required—Google fully understands even longer, context-rich pages.

• Rewriting content specifically for AI: Superfluous. AI systems understand the meaning of content regardless of exact keywords or specific phrasing.

• Purchased or fake mentions: Spam detection also applies to generative AI features—and actively harms them.

• Excessive focus on structured data: Helpful, but not a prerequisite for AI overviews.

In short: Those who invest resources in technical hacks instead of content quality

and clean data structure lose twice—time and visibility.

The three key questions for OTC brands

Google’s guidelines are not an abstract SEO document. They describe the standard

by which product content will be measured in the future—by the systems that are

increasingly pre-structuring purchasing decisions. For OTC and CHC brands, three

concrete questions can be derived from this:

• Is our product content unique and informative—or could it come from any other website?

• Is our product data consistent, structured, and AI-readable—across all digital sales channels?

• Is our website architecture designed for AI agents—or is it still based on structures from the classic SEO era?

The answers to these questions will determine how visible a brand will be in the next

generation of search—regardless of how well it is positioned in the traditional search

results list.