Know how AI describes your brand, not just whether it mentions you.

Aspects are the specific attributes AI answers keep raising about your brand, such as comfort, fit, durability, or pricing, and Seerly scores the sentiment of each one separately instead of collapsing everything into a single number.

Each aspect is pulled from the cited responses themselves rather than a fixed taxonomy, so the list reflects how your category is actually discussed.

• A positive, mixed, and negative split for every aspect
• Mention volume, so a single complaint is not mistaken for a trend
• The source type behind each theme: product pages, marketplaces, reviews, or reference sites
• Aspect-level movement between runs, so a souring theme is visible early

This is usually where an overall score becomes actionable: one weak aspect explains an otherwise healthy average.

Seerly runs sentiment on a prompt set tuned toward experiential and reputational questions, the kind buyers actually ask, so responses return opinion language rather than neutral product specifications.

Prompts stay editable, so you can add the comparisons and objections your sales team hears and drop ones that no longer matter.

• Prompts phrased as recommendation, comparison, and experience questions
• 25 tracked prompts per month on Basic, up to 100 on Pro
• Analysis runs twice a week on Basic, more frequently on Pro
• Custom prompt volume and run frequency on Enterprise

The same prompt set feeds visibility and sentiment, so tone and presence are always measured on identical questions.

Yes. Seerly keeps every scored run, so sentiment can be compared across rolling windows and you can see whether a shift is a genuine trend or a single unusual answer.

Because runs are scheduled rather than manual, the history builds continuously from the day tracking starts.

• Rolling comparisons across 7 days, 30 days, and 3 months
• Movement per aspect, so you can see which theme drove a change
• Movement per engine, since one engine often shifts before the others
• The underlying responses for any point in the trend, kept for inspection

Seerly reports the measured before-and-after rather than predicting where sentiment will land.

Seerly scores sentiment on ChatGPT, Perplexity, and Google AI Overview, and how many of those you see depends on the plan you are on.

Engines are scored separately because they read different sources, and the same brand can be framed generously in one answer and skeptically in another.

• Basic: one engine of your choice, either Google AI Overview or ChatGPT
• Pro: all three engines, ChatGPT, Perplexity, and Google AI Overview
• Enterprise: additional engines on request, under a custom scope
• Per-engine sentiment splits, never merged into one blended figure

Yes. Every sentiment score in Seerly opens into the verbatim response that produced it, with the engine that returned it, the run date, and the sources it cited.

That matters for negative scores in particular, where the useful information is the specific sentence, not the label.

• Full response text per run, attributed to the engine that produced it
• The sentiment label applied to that run, and the aspect it was counted under
• Every URL the engine cited alongside the scored answer
• The same prompt across earlier runs, for direct comparison

Only publicly available AI responses and public web pages are analyzed to build this view.