Lastfind asks each AI your project monitors to score your brand and your competitors from 0 to 100 on the attributes buyers compare (value for money, catalogue, ease of use…), on one scale: 0–59 the attribute is weakly perceived, 60–79 well perceived, 80–89 fully perceived, 90–100 the excellence zone, kept for the clear reference of the category. Every score of 60 or more needs evidence: a concrete fact of that attribute, with its source when the AI gives one; without a fact the score stays at 59 or below. It keeps the reason, the evidence and the sources behind every score. Summary gives the overall score by AI; Associations (Who is associated with what) shows the AIs’ mean score for each brand on each attribute, with a trophy on the highest and a competitor less than 5 points from your brand in gray (margin of error), and a cell opens its justification; Radar draws your brand and the nine highest scores on the same chart, its legend hides or shows each one and its +N adds the others; Justifications and Sources show why.
Every AI your project monitors is asked the same way as in the daily collection, in English or Portuguese: ChatGPT, Gemini, Google AI Mode and AI Overviews in what a person sees, with the AI’s own search. AI Overviews answers one search for every group of up to five brands, so every brand gets its turn. An AI enabled after today’s collection joins the next one. A brand you just added shows “Next round” in its cells until the next collection asks about it. Facts are given only when the AI is sure.
Turn it on and choose 3 to 10 attributes in Settings > Semantic Branding. One AI is enough for a score; with two or more it also shows a margin. The period and AI filters apply; topics and tags do not, because it asks its own questions. The info icon beside each block explains how it is calculated.