Questions answered.

Answer engine optimization (AEO) is the practice of making your business cited by AI assistants, including ChatGPT, Claude, Perplexity, and Google AI Overviews, when buyers ask category questions. It overlaps with SEO but rewards entirely different signals: structured data, user-generated content on Reddit and review platforms, and consistent entity information across the web. The old game was ranking links; the new game is being the answer.

Es un archivo en tu sitio que da instrucciones claras a los rastreadores de motores de IA sobre qué contenido pueden leer y citar.

Estas plataformas funcionan como validación externa de que tu empresa es real y activa, algo que los motores buscan antes de recomendar una fuente.

Cada motor de IA pondera señales como la actualidad del contenido, la autoridad del autor o la estructura de la página de forma diferente.

It is a file on your site that gives AI engine crawlers clear instructions about what content they can read and cite.

These platforms act as external validation that your company is real and active, something engines look for before recommending a source.

Each AI engine weighs signals such as content freshness, author authority, and page structure differently.

No. Both will exist for several more years and overlap heavily. Google's AI Overviews are part of Google search, so optimizing for them is partly an SEO task and partly an AEO task. The honest framing: SEO is the discipline you should already be doing. AEO is the layer you add on top, and the two reinforce each other when done right.

Ambas cosas ayudan. Una página dedicada facilita que el motor identifique explícitamente las preguntas y sus respuestas.

No es obligatorio, pero el contenido que ayuda a comparar opciones, criterios, categorías o casos de uso suele ser más citable que el contenido puramente promocional.

Puede influir en qué tan bien un motor interpreta y prioriza tu contenido frente a consultas de usuarios de la región.

Both can help. A dedicated page makes it easier for an engine to identify questions and answers explicitly.

No, but content that helps compare options, criteria, categories, or use cases is often more citable than purely promotional content.

It can influence how well an engine interprets and prioritizes your content for queries from people in the region.

Si un rastreador está bloqueado, es posible que ese motor no considere tu contenido, sin importar qué tan bueno sea.

No, es complementario. Un buen sitio sin presencia externa todavía puede tener una brecha de credibilidad ante los motores de IA.

Significa que, entre las preguntas probadas, ese motor no citó ni mencionó tu marca en sus respuestas.

If a crawler is blocked, that engine may not consider your content, regardless of how good it is.

No, it is complementary. A strong site without external presence can still have a credibility gap with AI engines.

It means that, among the questions tested, that engine did not cite or mention your brand in its answers.

Most B2B industries already are, even if buyers are not telling you. Forrester found that 94% of B2B decision-makers used a large language model during 2025 purchases. In regulated industries (finance, healthcare, legal), the adoption curve runs six to twelve months behind tech, but it is moving in the same direction. The companies building the foundation before their industry catches up will own citation authority when it does.

No. Identifica si tu contenido actual sigue esta estructura. La priorización forma parte del análisis del Blueprint.

Revisa si ese tipo de contenido existe en tu sitio, no su calidad ni profundidad.

No. Esta herramienta evalúa específicamente contenido escrito en español.

No. It identifies whether your current content follows this structure. Prioritization is part of the Blueprint analysis.

It checks whether this type of content exists on your site, not its quality or depth.

No. This tool specifically evaluates content written in Spanish.

No. Start with the technical foundation: schema, llms.txt, robots.txt, owned knowledge graph seed. The off-site work has nowhere to point if your site is not readable. Most companies get the technical and content pillars right in months one and two, then layer the off-site work in parallel from month two onward.

It is a plain text file at /llms.txt, the equivalent of robots.txt for AI crawlers. It lists the canonical pages on your site for AI assistants, grouped by category: Pricing, Products, FAQ, Documentation. Format is simple: a heading describing your business, then categorized page URLs. Most companies can write theirs in 30 minutes. We spec it as part of Foundation and the Blueprint.

Yes, if your team has the capacity. The technical foundation is doable with a developer who has CMS access. The harder part is operational discipline on the off-site work: sustained Reddit participation, structured review campaigns on G2 and Capterra, YouTube transcript strategy. That work requires 10 to 15 hours per week, every week, for at least six months. Most small marketing teams do not have that capacity alongside their existing programs.

Press coverage helps in the first few weeks after a story runs and produces backlinks. What it does not produce is the durable, structured citations LLMs prefer. The same budget spent on Reddit operations, review activation, and structured content produces more compounding AEO lift. If your goal is being quoted in TechCrunch, hire a PR firm. If your goal is being the answer ChatGPT gives, the budget is better spent here.

SEO retainers focus on ranking pages in Google's blue-link results. Our retainers focus on being cited inside AI-generated answers. The technical foundation overlaps. The off-site signals do not: SEO rewards backlinks and domain authority, AEO rewards Reddit threads, review platforms, YouTube transcripts, and structured first-party content. We do not pitch journalists, chase backlinks, or bolt AEO language onto an existing SEO retainer.

Three metrics, reported monthly: prompt-level visibility (share of voice across a tracked prompt set), branded search volume (the leading indicator that AEO is compounding), and source attribution on inbound leads . We do not have CRM access, so we ask clients to report the third number directly. All three go into a monthly dashboard you own.

We white-label for a small number of agency partners who want to add productized AEO to their offer without building the capability internally. It is not on the public pricing page because the scope conversation is different. Email us directly if you are an agency considering this.

SaaS tools show you data. They tell you what is happening and leave execution to you. The Blueprint takes that same data layer, adds a custom audit of your technical foundation, a competitor analysis, and a content gap inventory, and produces a prioritized strategy built by a real strategist. The dashboard is an input. The Blueprint is the plan.

No. Work begins within two business days of intake form completion; we front-load the effort so the deliverable is ready on time. By the time you receive the PDF, the full diagnostic has been run and documented. The Blueprint is a service, not a product with a return window.

The data says real. Pew Research, Seer Interactive, Semrush, Forrester, and Gartner have all published primary research showing meaningful click-through-rate decline on traditional SEO, growth in AI-driven referrals, and divergence between AI citations and Google rankings. The behavior change is measured and consistent across independent sources. The discipline is new enough that the playbook is not yet commoditized, which is exactly when it is worth building.

Los motores de IA extraen texto buscando respuestas claras y directas; el contenido narrativo largo es más difícil de procesar y citar.

Las preguntas de comparación tienen una intención de compra alta: quien las hace ya está decidiendo, no solo explorando.

Sus datos de entrenamiento incluyen más contenido en español neutro o peninsular que en las variantes específicas del español latinoamericano.

AI engines extract text by looking for clear, direct answers; long narrative content is harder to process and cite.

Comparison questions have high buying intent: the person asking is already deciding, not just exploring.

Their training data includes more neutral or Peninsular Spanish content than content using specific Latin American Spanish variants.

No es estrictamente obligatorio, pero ayuda a los motores de IA a identificar y priorizar correctamente tu contenido.

No necesariamente. La consistencia (el mismo nombre y la misma descripción) en las plataformas relevantes para tu industria ayuda más.

La versión gratuita prueba un número limitado de preguntas por motor, suficiente para obtener una señal inicial.

It is not strictly required, but it helps AI engines identify and prioritize your content correctly.

Not necessarily. Consistency (the same name and description) across platforms relevant to your industry matters more.

The free version tests a limited number of questions per engine, enough to establish an initial signal.

83% zero-click rate on searches that trigger an AI Overview, compared with about 60% for traditional queries. If AI Overviews are appearing for your category keywords and you are not in them, you are losing visibility on an increasingly large share of your buyers' research, even if your SEO rankings are holding.

Las preguntas reales que tus compradores hacen antes de decidir, no necesariamente las que tú consideras más importantes.

Las tablas y listas estructuradas suelen ser más fáciles de extraer que los párrafos largos.

Vocabulario, estructura y formas de expresión que reflejan cómo escribe realmente la región, en lugar de una traducción genérica del inglés.

The real questions buyers ask before deciding, not necessarily the questions you consider most important.

Structured tables and lists are often easier to extract than long paragraphs.

Vocabulary, structure, and expressions that reflect how people in the region actually write, rather than a generic translation from English.

No. Identifica si el archivo existe y si el acceso está disponible. La implementación es un paso separado.

Las más comunes para validar negocios B2B, como Crunchbase, G2, Capterra y LinkedIn.

Los motores de IA actualizan constantemente la forma en que responden, por lo que los resultados pueden cambiar con el tiempo.

No. It identifies whether the file exists and whether access is available. Implementation is a separate step.

The platforms most commonly used to validate B2B businesses, including Crunchbase, G2, Capterra, and LinkedIn.

AI engines constantly update how they respond, so results can change over time.

46.7% of Perplexity's top citations come from Reddit, and about 21% of Google AI Overview sources come from Reddit as well. LLMs were trained on Reddit data and continue to value its conversational structure. Real-user language reads as more authoritative than marketing copy. A well-established subreddit thread can outrank a Fortune 500 site for the same query. This is not promotional posting; it is sustained, transparent participation in the subs your buyers actually use.

First citations typically appear 30 to 60 days after the technical foundation is in place. Compounding visibility (meaningful share of voice across your category prompt universe) takes 90 to 180 days. We front-load deliverables in month one so you see motion quickly, even though the real lift compounds over quarters.

An audit tells you where you are. A strategy tells you where to go and in what order. Skipping the audit means executing without context. Skipping the strategy means executing without prioritization. The Quick-Start Blueprint is both: a real diagnostic plus a 90-day prioritized action plan.

Yes, if they are competent and have CMS access. Schema deployment is mostly templating work. llms.txt is a single static file. Most of our clients deploy the technical foundation themselves: we provide the spec, they ship the change. We only charge for deployment when clients want us to do it.

Track three things. Prompt-level visibility: pick 20 buyer-relevant prompts and check monthly whether ChatGPT and Perplexity cite your site. Branded search volume: rising branded search is the leading indicator that AEO is compounding. Inbound attribution: a simple "how did you hear about us" field on your contact form shows AI-driven lead growth within 90 days.

Yes. Most clients start at Foundation or Momentum and move up after 90 days once they see what is working. We do not lock tier assignments in the SOW; the tier should match your current goals, not the goals you had when you signed.

No, and we are skeptical of any AEO agency that does. AI search measurement is too new for hard guarantees. LLM citation behavior changes as models are updated. What we guarantee is measurable monthly deliverables and prompt-level reporting. Consistent execution over six months produces compounding results.

Free AEO audits are lead magnets: generic, templated, and designed to sell a retainer. The Blueprint is different: built from real 20-prompt testing of your specific site in ChatGPT and Perplexity, it includes competitor share-of-voice, a 90-day prioritized action plan with DIY-vs-done-for-you tagging on every item, and a 30-minute live readout. A paid diagnostic also pre-qualifies you as someone serious about execution.

You keep the Blueprint. The 90-day action list is fully executable on your own or with another partner. Roughly 40% of Blueprint buyers do not move to a retainer, they execute internally or with an existing partner. That is expected. The Blueprint is a complete deliverable, not a sales funnel. Sign a retainer within 30 days of the readout call and the $500 credits toward month one. After 30 days, the credit expires.

Two paths. You execute the plan yourselves, or with another partner, and we are done. Or you sign a retainer and we start onboarding in the last week of the current month so the retainer kicks off at full cadence on the first of the following month. No pressure either way; the plan works without us.