Inicio
Para individuos y experimentaciรณn.
Gratis
Incluye
Hasta 100 variaciones de anuncios /por mes.
Integraciรณn de alimentaciรณn CSV y API.
Plantillas bรกsicas y localizaciรณn.
Actualizaciones del bot de Slack. Hasta 50 desencadenadores.

Utiliza tus datos con reglas dinรกmicas para personalizar creatividades, transformando campaรฑas genรฉricas en anuncios altamente relevantes y centrados en la conversiรณn.
Crea variables dinรกmicas y asรณcialas con datos en tiempo real. Genera instantรกneamente creatividades personalizadas que siempre reflejen la informaciรณn mรกs reciente.
The Analyzer continuously measures how popular AI engines, including ChatGPT, Gemini, Perplexity, and Google AI Overviews, answer the questions your buyers ask, across relevant queries and multiple brands. It tracks brand visibility and the sources each answer cites, yielding actionable data to produce targeted strategies. Competitors are tracked on the same queries, so a gain or loss in AI visibility reads against your category. The query set covers non-branded questions too, the ones buyers ask before they have a vendor in mind. Citation data shows whether a gap sits on your own site or in the third-party pages AI search already relies on.
Our Simulator reproduces how generative AI search engines answer customer questions, so your team can test a content change offline before it reaches the live site. Validated with a confidence level, simulation unlocks a suite of experiments for your marketing team to improve AI visibility. Edits to existing pages and new content can both run through it. That puts a test between finding a gap and publishing a fix, a stage where AI search optimization has usually meant publishing and waiting. Each result is a modeled estimate, which makes the Simulator most useful for comparing drafts and choosing the strongest one.
The Optimizer proposes changes, runs them through the Simulator, and keeps only what raises your AI Visibility score. Test suggested and human-led changes offline, mitigating brand risk and misdirected budget. A strategist's draft and the Optimizer's own suggestion face the same test, so generative engine optimization decisions rest on simulated evidence before anything is published. For teams doing SEO for AI search, that moves learning ahead of publication. Without that step, each attempt means publishing a change and waiting several weeks to learn whether it worked.

Ben Barry
COO, Moradi Neufer

Elizabeth Hogan
Associate Dean, Duke University

Sean Frank
CEO, Ridge Wallet

Jim Hanrahan
Senior Brand Director, Mando (Mammoth Brands)
Crea variables dinรกmicas y asรณcialas con datos en tiempo real. Genera instantรกneamente creatividades personalizadas que siempre reflejen la informaciรณn mรกs reciente.