How is Position Score calculated?
Position Score is a 0–100 read of how strongly AI answers place your brand in a defined market. It looks at whether models name you, recommend you, explain you clearly, use strong proof, and separate you from rivals. The score is read by buyer, rival, and AI engine, so you can see where you are winning and where the answer is weak.
The score starts with the answer itself. When a buyer asks an AI model about your category, does the model name your brand at all? If it names you, does it recommend you, place you near the top, or treat you as an afterthought?
Then the read looks at the proof around that answer. Does the model explain why you fit the buyer's need? Does it cite or repeat strong evidence, such as a benchmark, case study, comparison page, or clear capability claim? Does it separate you from rivals, or does it make you sound interchangeable?
The result is a 0–100 score for one market context, not a global brand grade. You can read it by buyer, rival, and AI engine, which makes the score useful: a weak answer on Claude may need different proof than a weak answer on ChatGPT.
- 0–100 read of how strongly AI answers place your brand
- Checks whether models name, recommend, explain, and trust you
- Shows when rivals are being recommended instead
- Read by buyer, rival, and AI engine
- Built to show where the answer is strong and where it needs proof
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