Every major AI model has its own opinion about your brand. We watch all five of them, every day, and walk you through exactly how each one is answering when buyers ask about your space.
From the verbatim quote each engine gave back, to the source it cited to defend it. In both grounded web search and ungrounded model-only modes.
Group prompts around a launch, a persona, or a marketing plan. Each campaign runs on its own schedule across every engine you track, and rolls every signal into one weighted score.
When the score moves, drift alerts surface the why. Open the campaign and the per-engine breakdown shows where to ship next.
Our curator reads your brand, goal, and audience, then writes the buyer prompts your customers already type into AI. Every one runs across every engine, on your cadence.
A brand brief becomes a saved bank of buyer prompts in one pass. Edit, lock, or regenerate any of them.
KPIs that move the needle, audits that flag what is hurting visibility, and a queue of fixes pointing at the next ship.
One source of truth for everything Seeqly measures, and recommends you act on.
Pick the path that matches how your team works. Both run on the same engines, the same prompts, the same daily snapshots.
See what five engines say about you, and what they say about everyone else. Daily, with the full prompt trace.
Monitor visibility across your roster, share the report your client actually reads, and ship findings in time for the standup.
Billing questions live on Pricing. Team-specific answers live on the Solutions pages.
We check that for you. The Citation Audit shows which of your pages each AI engine has fetched, how recently, and which content blocks got cited.
Citations come from sources AI engines trust: Reddit in your category, structured pages on your domain, and third-party reviews. We map your current source base and surface where you are under-cited.
Yes. AI engines describe brands differently from how they list them. We separate mentioned from recommended, so you know if you are winning the visibility but losing the framing.
Share-of-voice tells you who AI engines name alongside you. New entrants show up the run they break into the conversation, not 90 days later.
It does, more than most teams expect. The same buyer question in Hinglish vs English, or German vs English, or Spanish vs English, often produces a different top three.
That is the most common starting point and the easiest to act on. We baseline you in 90 seconds, and you will usually see your first measurable improvement within the next run after a content change.
