Why AI keeps ignoring your brand

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It sounds backwards, but it’s one of the biggest structural shifts happening in ecom right now.

AI systems don’t struggle with small catalogs.. they struggle with large, constantly changing ones.

Prices change.

Inventory shifts.

Product data updates.

Descriptions vary across channels.

From the outside everything looks fine, but to an AI system trying to decide:

“Which brand should I recommend?”, that same catalog can look stale, incomplete or contradictory.

And when AI isn’t confident, it simply recommends someone else. This isn’t a problem most brands have thought about yet… because until now:

Customers did the comparison themselves.

But as AI agents start handling discovery, comparison and decision-making, reliability becomes the deciding factor.

That’s exactly what we’ll unpack in our upcoming live session.

LIVE WORKSHOP

JOIN US LIVE - Turn AI Agents Into a Predictable Source of Organic Traffic for the Next 10 Years

April 9th · 10am EST · Live workshop with Ankur Modi (ex-Meta, Ex-Amazon systems architect, & NASDAQ IPO veteran). 60-minutes · Q&A - ask any questions

In this discussion with Ankur Modi, former systems architect at Meta and Amazon, we’ll cover:

Why discovery is moving from search → AI recommendation

How to create infrastructure that makes your brand AI’s default recommendation for the next decade

How catalogue scale actually creates visibility problems for AI

What “AI-mediated commerce” means for DTC brands

Bonus for attendees

At the end of the session, we’ll offer brands a free AI-visibility / agent-readiness audit, revealing:

How accurately AI systems interpret your product catalog

Where AI sees conflicting information

What improvements could increase AI recommendations

The brands that prepare for this shift early will likely have the same advantage early SEO adopters had in 2005. Except this time the gatekeeper isn’t Google.

It’s AI.

Eight parents were asked to find a local basketball league for their kids. Same goal, same life stage. Every single one phrased their search differently.

One gave a ZIP code. 

One roleplay-prompted ChatGPT as a youth coach. 

One called it "Dolly" and forgot to mention her city.

SparkToro  ran a version of this at scale. They asked hundreds of people to write prompts expressing the same underlying intent. The average semantic similarity score across those prompts was 0.081. 

Basically zero overlap in phrasing, even when everyone wanted the same thing.

This is the part most AI visibility strategies get wrong. They treat prompts like keywords — a fixed list you optimize for. 

But real people don't search that way. They explain. They add constraints. They personalize. The wording changes based on experience level, confidence, urgency, and what went wrong last time.

SparkToro found that despite all that variation in phrasing, AI tools still returned similar clusters of brands. The models are good at reading intent even when the surface language looks completely different.

So the real question is whether a brand shows up reliably across the full range of ways real people describe that problem.

That starts with audience research.

Read the forum threads, go through the support tickets, look at how customers describe the problem in reviews.

Action Summary:

Credit:  Amanda Natividad

Let us know by simply replying to this email, and we’ll have an expert reach out to you and answer that, and you can also expect to receive some helpful resources.

Most email problems aren't copy problems. They're structure problems.

Good words buried in bad layout still get ignored. 

Here's what a high-performing email looks like, section by section.

Flowium uses this exact framework when designing emails for their clients.

Subject line: Curiosity, urgency, or a clear benefit. 

Keep it under 50 characters; most subscribers are reading on mobile. 

A/B test constantly. No single format wins every time.

Preheader: 

Don't repeat the subject line; instead, tease what's inside or add context that makes the open harder to skip.

Hero image:

Branded or custom visuals outperform generic stock. 

Emails with images see 42% higher click-through rates, and alt text means the message still lands when images don't load.

Headline + subheadline:

One clear value prop, scannable in two seconds. 

Example: "Take 15% Off Everything — Today Only." 

CTA:

One button in the hero section. One strong ask, placed where the reader's eye lands first.

Body copy:

Short paragraphs, benefit-focused. 

Sans-serif fonts improve readability by up to 19%

Links:

A mix of internal links and outbound links to trusted sources builds credibility and keeps readers engaged longer.

Social proof:

A short review or trust signal near the CTA reduces hesitation. 

One specific line from a real customer is enough.

Action Summary:

Credit: Andriy Boychuk, founder at Flowium

Attention is the hardest thing to buy. And everyone else is bidding too.

When people are scrolling, skipping, swiping, and split-screening their way through the day, finding uninterrupted moments where your audience is truly paying attention is the priority.

That’s where Performance TV stands out.

Check out the data from 600+ marketers on the most effective channels to capture audience attention in 2026.

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