Every Seeqly feature, one page each.

Measure brand presence in a defined sample of AI answers. Seeqly helps you organize buyer questions, inspect the responses and follow changes across the engines in your plan.

Review what sampled AI answers say about your company, including product descriptions, recommendations and possible inaccuracies. Brand monitoring adds context to a mention count.

See which URLs are linked as sources in sampled AI answers. Citation tracking helps you inspect the pages accompanying a claim and identify where your own content is being referenced.

Follow when your brand is named in sampled answers, and inspect the surrounding context. Seeqly groups those observations by prompt and campaign so you can review changes over time.

Compare your brand with a defined competitor set in the same sampled answers. Share of voice is a relative measure whose meaning depends on the brands, prompts and counting rules included.

Save buyer questions, run them repeatedly and review how AI answers change. Seeqly campaigns help you organize those questions around a use case, audience or buying task.

Review the brands appearing alongside yours in sampled AI answers. Competitor visibility tracking helps you compare the use cases, descriptions and cited sources in those responses.

Bring sampled answers, brand mentions, citations and competitor observations into a review your team can use. AI search analytics is most useful when the summary stays connected to the underlying evidence.

AI referral analytics examines identifiable visits from AI services in your website analytics. Read those visits alongside visibility observations while keeping the two datasets and their limits clear.

Give stakeholders a clear account of what your AI visibility sample showed, what changed and what your team plans to do. A useful report includes evidence and scope alongside the headline metrics.