ChatGPT lists your competitors but not you. Here's how to fix it.

One of our clients, a Belgian SaaS company in project management, discovered the problem by accident. A prospect told them in a meeting: "I asked ChatGPT for the best alternatives to Monday.com for SMEs. It gave me five names. Yours wasn't one of them."

They checked. Indeed: Asana, Notion, ClickUp, Wrike, Basecamp. Not them. Not on ChatGPT, not on Claude, not on Perplexity.

This isn't trivial. It's an invisible sales pipeline that's closing.

Why LLMs create lists (and how they build them)

Queries like "what are the best tools for X" or "alternatives to Y" are among the most frequent on LLMs. And the models always respond in list format. Generally 4 to 7 items, rarely more.

How are these lists built? Not by magic. The model was trained on data that contains:

Articles like "Top 10 alternatives to..." (Capterra, G2, specialized blogs).
Comparisons on review sites.
Reddit and forum discussions where people recommend tools.
Documentation and pricing pages that help the model "understand" what the product does.

If your product doesn't appear in any of these sources, or appears in a confusing way, the LLM can't include you. It doesn't know you exist, or doesn't understand what you do clearly enough to categorize you.

The European problem

LLMs have a massive Anglo-Saxon bias. Training data is predominantly in English, from American sources. A San Francisco SaaS with 100 clients will be better represented in responses than a Brussels SaaS with 500 clients, simply because the American media ecosystem produces more indexable content.

It's not fair. But it's reality. And it means European companies need to work harder to be visible in AI responses. You can't just wait for models to "find" you.

Tactic 1: Exist in the right comparisons

Identify the "alternatives to X" and "best tools for Y" articles that rank on Google in your category. These are exactly the articles that feed LLMs.

Contact the authors. Many of these articles are written by freelance writers or company blogs that accept submissions. Offer to have your product added, with a ready-to-publish paragraph. This is targeted digital PR.

One of our clients in the fintech sector contacted 15 blogs that had "alternatives to Stripe for Europe" articles. 6 agreed to add them. Three months later, ChatGPT mentioned them in 40% of similar queries.

Tactic 2: Create your own (honest) comparison

Publish a blog article "Our product vs [Competitor 1] vs [Competitor 2]." But do it honestly. List your strengths AND weaknesses. Explain which type of client each tool is best suited for.

Why does this work? LLMs pick up these comparisons and integrate them into their understanding of your positioning. If your own page says "our tool is better than X for SMEs under 50 employees, but X is better suited for large enterprises," the model knows where to place you.

Dishonest comparisons ("our product is better on every criterion") are counterproductive. LLMs cross-reference sources. If your comparison contradicts what every reviewer says, it will be ignored.

Tactic 3: Product schema, properly filled

Does your product page have a Product or SoftwareApplication schema with:

A clear name?
A description that says what the product does in one sentence?
A category (the type of software or service)?
offers with the price?
An aggregateRating if you have reviews?

Without this structured data, the LLM has to read your marketing prose to understand what you sell. Your marketing prose probably says "innovative solution that transforms how teams collaborate." That means nothing to a machine. "category": "Project Management Software" -- that's usable.

Tactic 4: Be present where LLMs learn

Reddit. Reddit discussions are a major training source for LLMs. If someone asks "what tool for managing projects in an SME?" and nobody mentions you, you don't exist in that conversation, and therefore in the model's data.

We're not saying to spam Reddit. We're saying to authentically participate in your industry's communities, answer questions, and mention your product when it's useful and honest. A well-upvoted Reddit comment has more impact on your AI visibility than a sponsored article.

G2, Capterra, Trustpilot. Review platforms are reference sources for LLMs when building recommendation lists. If you don't have a G2 profile, or have 3 reviews against 500 for competitors, the model won't include you. The goal: at least 20-30 verified reviews on one major platform.

Tactic 5: Ask the LLMs directly why

This is a trick we use a lot internally. Open ChatGPT and ask: "What are the alternatives to [competitor] for [your category]? And why isn't [your product] on the list?"

The response will tell you exactly what's missing: "I don't have enough information about this product," "I'm not sure about its category," "I haven't found verified reviews." It's a free diagnostic. Imperfect, but surprisingly useful for identifying gaps.

The realistic timeline

We won't lie: appearing in LLM recommendation lists takes time. If you apply all five tactics in parallel, expect 3 to 6 months to see results on Perplexity and Bing Chat, 4 to 8 months on ChatGPT and Claude.

The most important thing: start by checking where you stand. Ask the three main LLMs today. If you don't appear, you know what you need to do. And if your competitor is already there, every week of waiting is a week where they're capturing prospects you don't even see.