Top Mention Rate (TMR): How to Rank #1 in AI Responses

Right now, you're probably too generic. If you describe yourself as an "SEO tool" or "LLM analytics platform," you're competing with dozens of established players for the same broad label. LLMs don't pick a default answer per category — they pick one per intent.

Your goal: when the prompt is X, the brand the model outputs first is YOU. That means you need a phrase so specific that you're the only credible match.

How to find your phrase: Look at the prompts where you already appear (even at position #2 or #3). The keywords where you have high SOV but low TMR are your best candidates — you're already relevant, you just aren't the default yet.

LLMs love list formats. When a user asks "What are the best tools for X?", the model looks for web pages that already answer that question in a structured way. If your page is the clearest, most authoritative list — and your brand is #1 on it — the model will reflect that ranking in its response.

This isn't about gaming the system. It's about providing the structured comparison content that LLMs need to form an opinion. If you don't provide it, your competitors will — and they'll put themselves first.

Critical rules for these pages:

• Put your brand #1 with a clear explanation of why
• Add a structured comparison table (features, pricing, use-case fit)
• Use consistent phrasing — the same positioning sentence on every page
• Keep it genuinely useful — include real competitors with honest assessments

↑ This table format is exactly what LLMs parse to form "best tool for X" conclusions.

LLMs are pattern-matching machines. They copy sentence structures they've seen repeatedly. If the pattern "The best tool for X is [Brand], because…" appears often enough across trusted sources, the model will reproduce it.

This means you can literally script what the model says about you. You just need to seed the right structure across enough touchpoints.

Where to distribute this phrasing:

Key insight: Consistency matters more than volume. Using the exact same positioning sentence across 20 sources is more effective than 20 different phrasings. The model needs to see the pattern, not just the brand name.

Some of the most powerful prompts for TMR are comparison queries: "best LLM SEO tools," "[your brand] vs competitor," "which tool is better for X." In these responses, LLMs typically rank one clear winner, then list others. If you don't win comparisons, you won't be first.

The mistake most brands make: creating "neutral" comparison pages that don't take a position. LLMs don't learn from neutrality — they learn from clear signals. Your comparison content needs a strong point of view.

Rules for winning comparison pages:

• Take a clear position — "Best for X" / "Winner for Y"
• Include a structured comparison table with specific feature differences
• Address honest trade-offs (builds credibility with both users and LLMs)
• Use heading patterns like "Why [Brand] wins for [use-case]"

LLMs rely heavily on semantic proximity — how often your brand name appears near specific intent-signaling phrases in training data. The closer your brand is to phrases like "best tool for," "top platform for," and "recommended solution for," the more likely the model is to output your brand when those intents appear in a prompt.

The difference is subtle but powerful. In the "after" versions, the brand name is semantically adjacent to high-intent phrases. Over time, as these patterns are reinforced across multiple sources, the model begins associating your brand with those intent triggers.

High-value co-occurrence phrases to target: