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Perception answers the question “how does AI talk about us?” The platform asks each AI model directly about your brand and about each named competitor, runs sentiment analysis on the answers, and shows you the strengths and weaknesses it keeps returning to and the sources it cites when it does. Where Visibility asks whether you appear, Perception asks how you are described.

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Before you start

Perception runs off the brands in Settings > Brands. Your default own brand is the subject; competitor brands become the benchmark. Set those up first: Setting up your brand.

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Reading the dashboard

Open Perception under AI Search Intelligence in the sidebar.
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Overall is your AI Sentiment Index (ASI), a weighted average across all the models. Positive values mean AI describes you favourably, negative values unfavourably. AI models are positive by default, so the index is adjusted rather than raw. Three metrics sit alongside it: Change over Time charts the index per model across runs. Details breaks the current run down by model.

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Competitors

Benchmarks your brand’s sentiment vs. competiEach competitor gets the same metrics plus Advantage: a comparative score relative to your brand. Positive means the model views them more favourably than you.

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Strengths and weaknesses

Select a brand to see the themed strengths and weaknesses the models return, each with a sentiment score and the number of times it was mentioned across responses. This is the list to take into a positioning discussion: a weakness mentioned often with a low score is where the market narrative is working against you.
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Sources

This shows you which domains are defining the way AI views and presents the different brands in your category. See how influential your own site is (are you the defining authority on how AI views you?) and which third party sites (reviews, comparisons, industry publications) you need to prioritise.
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When it refreshes

Runs are scheduled per workspace, weekly by default. Any change to the scope triggers a fresh run at the next scheduled pass. Progress appears in Settings > Jobs under Prompt Execution and Analysis Pipeline.

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Troubleshooting

  • No perception data yet. The first run has not completed. Check Settings > Jobs for a Prompt Execution or Analysis Pipeline job in progress. If nothing is listed, confirm an own brand exists in Settings > Brands.
  • Budget limit reached on a job. The workspace’s daily token budget for AI calls was hit. The run resumes on the next scheduled pass; contact Demand-Genius if it recurs.
  • A competitor is missing. Check it exists in Settings > Brands with context Competitor, or add it directly in the scope editor.
  • A model shows no data. Not every model is enabled for every workspace. Google AI Overviews in particular is a Visibility engine and does not produce Perception results.