Average AI position
#1.63Lower is better; #1 is the first recommendation.
See where AI recommends your brand first, which questions leave it further behind, and how stable its position is across repeated measurements.
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Explore the Positions dashboard
API measurements and separately measured interfaces can produce different results. Measurements describe the configured prompts and retrieval context.
A brand may lead a recommendation list or appear near the end of an answer. Measurable recommendation positions and saved text help explain the difference.
The Positions dashboard starts with the overall picture, then takes you through daily trends and prompt groups to the saved answer for an individual measurement.
Lower is better; #1 is the first recommendation.
Among all answers with a measurable position.
First, second and third positions combined.
Answers with a position in the filtered period.
Average position of the weakest question.
The denominator for the 83% first-place rate and 88% TOP 3 rate is the 415 answers with a measurable position, rather than all AI answers. First-place results also count towards TOP 3. A missing position does not mean last place.
The supplied admin screenshots show the state on October 13, 2026. These are fixed project figures for the selected filters; the original interface is in Hungarian.
Filter by period, AI models, tags and prompts. Own-brand and competitor views are separate, and results can be exported.
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A lower position on the chart means a better result. Below it, strong, weak and volatile prompts appear with their average positions. A question can belong to several groups.
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Questions with an average position of 3 or better.
Questions with an average position greater than 3.
At least 2 positions separate the best and worst results. The badge shows the average.
Position details list runs by timestamp, own position, AI model and prompt. In this example, the ChatGPT answer from October 13, 2026 at 00:14 has own position #1; its saved answer expands below the row.
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In the Intren – SEO screenshots, the question about Intren’s services has an average position of #1.0, while the question about the best SEO agencies in Budapest averages #4.7. A strong overall average can coexist with weaker general recommendation questions, highlighted separately in the prompt cards.
A fixed example from the supplied Intren – SEO screenshots for September 14–October 13, 2026, not a promise of results.
Answers must contain an interpretable recommendation position. A missing position does not mean last place.
It is a recommendation position within an AI answer. Traditional Google rankings are covered by the Google SERP feature.
Position three or better among answers with a measurable position. First-place results also count towards TOP 3; answers without a position are excluded from this denominator.
The answer may be descriptive rather than an ordered recommendation. The mention remains a signal, but assigning an artificial position would be misleading.
Yes. Fewer but better-positioned recommendations can improve the average. Read appearance rate and measurable sample counts alongside it.
Matching questions provide a basis, but answer formats differ. Check the share of measurable recommendations and original text as well.
They show how often you lead recommendations. Reviewing second- and third-position prompts gives a different focus from investigating questions where you never appear.
Find out which buying questions bring your brand into AI answers and where competitors receive more attention.
Explore this feature →: AI visibility measurementCheck how AI speaks about your brand, including the context of recommendations and criticism.
Explore this feature →: Sentiment and topicsSee your brand alongside competitors: who receives more mentions, who ranks higher in AI recommendations and which new brands appear in answers.
Explore this feature →: Competitor benchmarkingTell us which brand and website you want to measure and what question you need to answer. We will discuss the subscription and data connections your project requires.