Products

Products connects AI visibility to outcomes. It shows which products are being mentioned in AI answers and which never appear, so you can improve product-level structure and coverage. Products is most relevant for brands that sell physical products that can show up in AI shopping-style results (product cards). If your business is not product/SKU-based, you can ignore this section. Right now, Products supports Shopify merchants by importing SKUs from Shopify. We’ll be adding additional product catalog integrations over time.

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Products and prompts (important context)

Products only shows visibility for the prompts you’re tracking. Meridian is monitoring whether each product appears in AI answers for your tracked prompt set. That means product visibility is driven by two things:

1. Whether AI answers include your products, and
2. Whether you are tracking prompts where a product could realistically be recommended.

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Example

If you sell basketball shoes but you aren’t tracking prompts such as “best basketball shoes” or “best shoes for indoor basketball,” you will almost certainly see products marked Not mentioned—because Meridian has no relevant answers to evaluate.

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Recommended setup

To make Products useful quickly, build prompt coverage around your catalog.

1. Create a Topic for each product line or category (for example: “Basketball shoes,” “Trail running shoes,” “Compression shorts”).
2. Then either:
   • auto-generate 10 prompts per topic, or
   • add prompts manually for your highest-priority products and categories.

Once those prompts are tracked, Products becomes a clear signal of which items are being recommended (and which are missing) for the queries that matter.

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What you see in Products

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Product cards (grid view)

Each product appears as a card with:

• product image and title
• price (if available)
• tags/categories (if available)
• a status label:
  • Mentioned (your product appears in AI answers for the tracked prompts)
  • Not mentioned (it does not appear in the tracked answers)

You’ll also typically see an action like See X responses on mentioned items so you can inspect where and how the product is showing up.

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Catalog count

At the top right, you may see the number of products in your catalog. This helps confirm Meridian is reading the correct product set for your company profile.

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How to use Products (practical workflow)

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Step 1 — Start with “Not mentioned” products

Scan for products marked Not mentioned. These are usually the highest-leverage gaps, especially if they are core to your business. Before you assume there is a product problem, sanity check:

• Are you tracking prompts that would recommend this product or category?
• Is the product name or category obvious in the prompt set?

If prompt coverage is missing, fix prompts first.

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Step 2 — Inspect products that are Mentioned

For products that are Mentioned, click See responses. This is where you learn why the product appears and what pattern you should replicate for other products. Use “See responses” to understand:

• which prompts trigger recommendations,
• which competitors/products appear instead (when you are not #1),
• and what criteria the answer uses (price, durability, trust, fit, etc.).

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Step 3 — Learn the winning pattern (and copy it)

When you find runs where your product is recommended, look for:

• prompt format (best-of list, comparison, “for X use case”)
• what criteria the answer emphasizes
• whether the response is driven by citations (and which sources)
• whether the answer is product-specific (specs/fit) or brand-level (trust/quality)

Then apply those patterns to:

• other similar products,
• your category pages,
• and supporting content.

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Step 4 — Prioritize “money products” and “money prompts”

You will get the fastest results when you focus on:

• your top revenue products,
• the prompts most likely to drive purchase intent,
• and the categories where your products are competitive.

Products is most powerful when paired with your prompt strategy.

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What can improve product mentions

Product improvements are usually structural and comparative. AI systems recommend products when the criteria are clear, the product fits the use case, and the information is easy to summarize. Common improvements include:

• Add clear specs and “who this is for” sections.
• Add comparisons against common alternatives (and be explicit about trade-offs).
• Add FAQs based on the questions AI is trying to answer.
• Ensure category/list pages include your products and match prompt formats.

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Practical examples of high-impact upgrades

• If prompts are “best X for beginners,” add beginner-oriented criteria (ease of use, fit guidance, sizing, care).
• If prompts are “best X for durability,” add durability proof (materials, testing, guarantees).
• If prompts are “best value,” add clear price/value framing and what’s included.

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Measuring impact

Over the next period, you should see:

• more products moving from Not mentioned → Mentioned,
• improved prominence on prompts where product recommendations appear,
• and more citations that reference your owned product/category pages.

If nothing moves after a full period, the most common reasons are:

• you are not tracking the right product/category prompts,
• competitor sources dominate citations for those prompts,
• or your product/category pages are not structured in a citeable way.