Position in AI Answers: How to Measure and Interpret It

Interpreting a Ranked Recommendation

Example: you ask ChatGPT "What are the best digital marketing agencies in Europe?" and it lists five agencies. Your brand appears fifth, after four competitors. Record that as a mention at position 5 of 5; on its own it does not show whether anyone will contact you.

Readers who scan a list may pay more attention to the first options, so position is worth tracking alongside whether you are mentioned, without treating it as proof of conversion.

The first step is knowing if ChatGPT recommends your brand. Once you confirm you appear, what matters next is where you appear.

The Google Analogy

In traditional SEO, higher positions get far more clicks than lower ones, and results on the second page get very few. Click-through studies differ in their figures, but the pattern is consistent.

AI answers have no second page: the answer contains a limited number of recommendations, and if it names five brands, those are the options the user sees in that answer. A follow-up question can change the list.

Users also tend to read answers from top to bottom, and the first option mentioned can come across as the main recommendation — a primacy effect known from other contexts. This guide does not provide a validated benchmark for how much more attention the first position receives in AI answers, so treat position as a relative signal and measure outcomes in your own data.

Your Position Changes by Model

Your brand can have very different positions in each AI model:

• In ChatGPT you might appear first, perhaps because the sources the model learned from or found in search describe you well.
• In Claude you might drop to fourth, because Anthropic's model draws on different data.
• In Gemini you might not appear at all, for example if its answer relies on Google Search results where you're weak.

These are illustrative scenarios; the reasons behind a specific result are rarely visible. What they show is that testing a single model and assuming the result is representative can mislead. For a real picture, analyze several models with the same questions.

It Also Varies by Language and Question

Position doesn't only change between models. It also depends on:

Question Language Answers in a given language tend to draw on content in that language, so brands with strong content in Spanish may do better in Spanish answers, and English-language brands in English answers. A European company might appear first in Spanish answers and not at all in English ones, or vice versa.

Question Type Asking "best options for X" isn't the same as "cheapest options for X" or "premium options for X." Each question type brings up different associations. Your brand might lead in quality questions but disappear in price questions, or stand out in general questions but not in specific niches.

Geographic Context "Best agencies in Spain" and "best agencies in Mexico" produce different results. Answers depend on the market implied by the question.

Measuring Mentions Isn't Enough: Measure Position Too

Many companies starting to look at AI visibility only check whether they appear. That's half the story. Two core indicators:

1. Mention rate: the percentage of relevant questions whose answer includes your brand. If you appear in 10 of 25 answers about your industry, your rate is 40%.

1. Average position: when you appear, where? An average of 1.5 means you're usually first or second. An average of 4.2 means you usually appear after three or more other brands; whether that is near the end depends on how long the lists are.

Together they give a fuller picture of your AI visibility. Because a higher number means a later position, a high mention rate with a high (numerically worse) average position is weaker than it looks, and a moderate mention rate with a consistent first position can be more valuable.

How to Measure Your Position Properly

Mentio records your position in each answer from each model included in your plan. It shows not just whether you appear but where: your overall average position, your position by model and your position compared with each competitor. The position tracking tool lets you compare analyses over time.

Discover your position in AI responses →

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