Visibility to value: Winning in the age of AI search and discovery

Customers who arrive from AI recommendations spend more time on site, view more pages, bounce less, and complete purchases at an average order value 30% higher than those arriving via traditional search (Source: Shopify). That is not a marginal difference. It is a signal that something structural is changing in how ecommerce discovery works.

In a recent webinar, we brought together Christian Kilin, CEO of Glara, Emil from Grebban, and Lewis Allen, SEO Manager at Represent, to explore how fashion and lifestyle brands can navigate the shift from traditional search to AI-mediated discovery. Here is what came out of it.

The funnel has moved outside your website

One of the most important structural changes in ecommerce right now is happening upstream, before a shopper ever reaches your site.

Shoppers are increasingly doing their research inside AI assistants like ChatGPT, Perplexity, and Google AI Overviews before they ever land on a PDP. They arrive more educated, closer to a decision, and with higher intent. Google's own research models a customer journey that used to involve seven or more steps across forums, review sites, and comparison pages. In some cases, that loop is now being compressed into a single AI conversation.

The practical result is a different kind of visitor. One who has already shortlisted you and is arriving to confirm, not to explore.

What this means for your website

If the upper funnel now happens outside your site, the role of the website and especially the PDP starts to change.

Emil from Grebban put it plainly: "We have to not build trust, rather validate it."

The visitor arriving from an AI recommendation already believes the product is worth considering. They are not browsing to explore. They are landing to confirm. The PDP's job in that moment is to prove the recommendation was right, not to start the relationship from scratch.

This creates a tension that the best brands are starting to navigate carefully. Done well, compressing your brand story, validation signals, and product detail into a tighter and more decisive PDP means you can capture a more qualified buyer.

Overcorrect and flood the page with reviews, specs, and FAQ modules at the expense of the actual product experience, and you strip away the desire and brand quality that made the recommendation worth following in the first place.

Emil describes this as environmental storytelling: using typography, imagery, color, tone of voice, and art direction to frame the product and build brand context without relying on heavy editorial copy. Shorter, more efficient, and more felt than read.

The opportunity is in finding the balance between validation and brand experience. Both extremes, doing nothing or overloading the page, carry real cost.

SEO still matters. Here is what needs to adapt.

Lewis Allen brought a practical perspective that is worth unpacking. The overlap between traditional SEO and AI discoverability (GEO) might be bigger than most people assume, and the fundamentals still matter enormously.

Strong site structure, E-E-A-T signals, domain authority, and helpful content all feed the same systems and the difference can be in the specifics.

A few shifts Lewis highlighted that are already changing how the SEO and GEO function works in practice:

Above-the-fold clarity is now a requirement. AI assistants want to extract an answer quickly. If your About Us page buries the brand story, mission, and key facts below the fold inside long paragraphs, the assistants are less likely to interpret them clearly. Structure your key information so it is easy to locate and extract.

FAQ schema is worth revisiting. It was deprecated from SERP features in 2024. But AI models actively use structured Q&A data, which makes it worth rebuilding around the questions your customers are actually asking.

Brand terms matter as much as non-brand. In an AI discovery context, it is not enough to rank for "high grade hoodie." You need to clearly communicate why your brand makes the best one. The brand narrative has to be specific and legible, not just present.

Narrative coherence is now measurable. When organic social, PR, on-site copy, and product descriptions tell the same story consistently, AI models build a cleaner picture of what your brand is for and who it is for. As Lewis put it: "If your story is inconsistent, that shows. If it is clear and specific, that shows too."

The technical layer: what machines are actually reading

This is where a lot of brands have a gap they're not aware of.

AI agents retrieving product information in real time don't primarily crawl your HTML. They pull structured data: product feeds, APIs, schema markup, Shopify metafields. When an agent falls back to crawling HTML, it typically captures somewhere between 10 and 15% of the context your product pages actually contain.

In practice that means a feature you are proud of, the phone pocket in the shorts or the machine-washable finish on the merino, may be clearly visible in your photography and implied in your lifestyle copy, but if it is not explicitly present in your structured product data, an AI model responding to "what are good gym shorts with a phone pocket" will not surface you.

This is the most common gap Glara finds when auditing brands on Shopify. Metafields are underused. Variant-level attributes are incomplete. Natural language descriptions exist for humans but technical specifications are missing for agents.

The fix is not complicated. It is specific: add the attributes that agents need to match your products to the right queries, write for the conversation a shopper is having with ChatGPT and not just for the search bar, and do it at scale across category level and variant level, not just for hero products.

Who should own this?

The honest answer from the webinar: right now, it often falls to whoever is most engaged with search. But the right answer is that someone needs to own the full agentic journey: from AI visibility at the top of funnel, through to how the site converts the traffic that arrives.

SEO teams are well placed to lead it. They are used to working across content, data, and technical implementation, and they are accustomed to rapid change. But AI discoverability pulls in product data, design, brand, and performance in ways that make it genuinely cross-functional. It needs a single accountable owner, not a committee.

The biggest friction is rarely budget or technology. It is capacity. Most brands do not have spare bandwidth to run audits, generate insights, and execute optimizations manually at the speed this space is moving.

Practical action plan: what to do now

This week:

• Run a structured data audit. Are your Shopify metafields complete? Are product attributes specific enough to match natural-language queries?

• Check your About Us and brand pages. Is the core message above the fold? Are key facts segmented clearly?

• Revisit FAQ schema. Build Q&A content around the questions your customers are actually asking AI assistants.

This quarter:

• Map your top three customer intents for key categories. Build PDP experiences around them: different intents may justify different PDP logic.

• Align brand narrative across site, PR, and social. The story needs to be consistent everywhere, not just on your homepage.

• Benchmark your AI visibility now, before competitors move further ahead. Understand which products show up in AI recommendations and which don't, before the gap widens further.

Ongoing:

• Track AI-attributed revenue alongside organic. It is an emerging channel. Treat it like one, with proper measurement and attribution.

• Keep your strategy integrated. Everything that serves AI discoverability should amplify what you are already doing for SEO and brand, not run parallel to it.

The bottom line

The brands that perform well in 2026 will not necessarily be the ones who move first or spend most. They will be the ones who understand that AI discovery is a new surface for the same fundamentals: clear data, a consistent brand story, and experiences that meet the customer where they actually are.

Discovery is increasingly happening outside your website. Make sure your products are legible and visible wherever that conversation is taking place. Then make sure your website earns the confidence of the customer who already believes you are worth their time.

Watch the full session replay: Visibility to Value: Glara × Grebban × Represent

Want to see where your brand stands in AI-powered discovery? Talk to the Glara team