Be the Brand AI Recommends

Shoppers have moved on from search bars. They’re asking ChatGPT and other AI chatbots about your products. AI engines are already answering and recommending companies that are ready. Make sure your brand is one of them.

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The way customers discover products has changed forever

Half of your customers are no longer starting product searches on Google or Amazon. Instead, they’re asking AI-powered assistants — ChatGPT, Gemini, Google AI Overviews, Microsoft Copilot, Perplexity — to compare and recommend. And AI isn’t waiting for your brand to catch up. It’s already steering them to brands that gave it the best product data first.

Your products are invisible to AI, and you may not know it.

When AI can’t find the right data, it doesn’t wait for you to provide it. It moves on to a competitor who gave it more to work with. The average brand is missing 40–60% of the product data that large language models (LLMs) need to confidently recommend their products. You need to provide not just specs but the contextual details, use cases and product relationships that tell AI why a customer should choose you over a competitor. Without that foundation, your products are filtered out before any recommendation is made, and your share of voice in AI-generated answers drops to zero.

The average brand is missing 40–60% of the product data that AI needs to confidently recommend their products. You need to provide not just specs but the contextual details, use cases and product relationships that tell AI why a customer should choose you over a competitor. Without that foundation, your products are filtered out before any recommendation is made.

AI is writing your brand story whether you’re involved or not.

Companies now need to ask: “When AI describes our brand, whose words does it use?” Before AI search, you controlled your brand narrative. Traditional SEO allowed you to write the product descriptions, pay for SEO and define how customers understood your products. Today, AI systems synthesize whatever data they can find: outdated listings, Reddit threads, competitor messaging or nothing at all — and then fill the gaps with assumptions. Your premium product could be rated lower in AI-generated responses than a competitor’s, not because it’s worse, but because AI couldn’t find evidence to prove it’s better. The impact on brand perception and conversions is real and measurable.

Before AI search, you controlled your brand narrative. You wrote the product descriptions, paid for SEO and defined how customers understood your products. Today, AI engines synthesize whatever data they can find: outdated listings, Reddit threads, competitor marketing or nothing at all — and then fill the gaps with assumptions. Your premium product could be rated lower than a competitor’s, not because it’s worse, but because AI couldn’t find evidence to prove it’s better.

AI search optimization:

The new standard for AI-era brands

AI search optimization, also known as answer engine optimization (AEO), is the practice of structuring and enriching your product data so AI agents and bots can discover, understand and confidently recommend your products. It’s quickly becoming the decisive factor in whether your brand shows up in AI search results within citations or brand mentions — or gets left behind. Marketing teams that invest in their brand presence now are seeing measurable gains in AI brand visibility and brand performance, and they’re the kind of gains that digital marketing alone can no longer deliver.

The numbers don’t lie

~50%

of product searches now start with an AI assistant, not a search engine.

The average brand is missing

40–60%

of the product data AI needs to recommend them.

Structured product data accounts for an estimated

25%

of AI search influence. This is becoming the #1 factor brands can control — and the most important benchmark for AI visibility metrics that your competitors are already tracking.

Stibo Systems gives you the AI-ready data foundation to take back control of your brand narrative — and win the recommendations that should be yours

Product Experience Data Cloud (PXDC) lets you control, manage and enrich all your product data in one place. You define the product story. PXDC structures it so every AI model, ecommerce marketplace and agentic commerce platform can find it, understand it and use it to recommend your brand and increase your rankings.

Everything AI needs to recommend your products

PXDC is purpose-built to deliver the structured, enriched and governed product data that AI engines demand at enterprise scale, making it a powerful AI visibility tool.

Rich data foundation

Structured, machine-readable product data is the single most critical driver of AI search visibility.

AI doesn’t just read your title and SKU. It reads every attribute, relationship and contextual signal you give it. Build the mappings, product relationships and contextual attributes AI engines need to recommend your products and generate accurate summaries of your brand in their outputs.

Continuous enrichment

AI platforms are constantly evolving their recommendation logic. PXDC keeps you ahead of it.

PXDC identifies missing attributes, scores data completeness and keeps product data updated across all channels as AI requirements evolve. When the next AI search tool launches, you’re already ready.

Enterprise governance

AI confidence = data confidence. PXDC ensures AI-grade quality at enterprise scale.

AI won’t surface products with inconsistent or incomplete data. That’s why PXDC uses real-time dashboards and visibility data to monitor your data quality. PXDC’s core PIM and governance capabilities ensure data accuracy and consistency across millions of SKUs, channels and markets. Continuous governance prevents AI from misrepresenting your products or filling gaps with hallucinated content that damages your brand perception.

Single source of truth

When AI sees consistent data across every source it checks, it becomes more confident recommending your brand.

PXDC unifies your product data across all channels, markets and AI touchpoints into one authoritative foundation. Workflows automate data syndication via API to every channel. Consistent cross-channel data signals trust to AI engines, improving discoverability and protecting brand integrity everywhere customers encounter your products.