800M+
people use ChatGPT every week
Answer Engine Optimization (AEO)
Anybound helps brands appear in AI answers in ChatGPT, Google AI Overviews, and Perplexity.
Let's TalkThe Shift
800M+
people use ChatGPT every week
92%
of consumers do not click traditional links when AI summaries appear
61%+
of consumers have used AI answer engines to shop online
What We Do
We structure product and category content so answer engines can parse, trust, and cite your brand correctly.
We improve the third-party signals models read across review ecosystems, forums, and commerce graph sources.
We strengthen topical authority with category-level proof, expert framing, and verifiable brand signals.
We track recommendation share, prompt coverage, and model behavior shifts so progress is measured weekly.
Our Approach
Continuous measurement. Rapid iteration. Compounding results.
We track where and how your brand appears across AI answers.
We identify gaps, missed intents, and competitive advantages.
We implement structured changes designed to influence inclusion.
What works scales. Visibility compounds.
Why Anybound
Model-native
Anybound optimizes for how AI systems source, rank, and recommend products.
Unified visibility
Anybound tracks performance across major answer engines, not a single surface.
Rapid iteration
Anybound ships tightly-scoped experiments and read impact quickly to reduce guesswork.
Proven leadership
Anybound is led by seasoned operators with extensive leadership experience across marketing, product, and design.
FAQs
Answer Engine Optimization (AEO) is the practice of improving how a brand appears in AI-generated responses from systems like ChatGPT, Google AI Overviews, and Perplexity. Instead of focusing only on webpage rankings, AEO aims to help a company become part of the answers and recommendations users receive.
Traditional SEO focuses on earning clicks from search engine results pages. AEO focuses on influencing which brands and products are mentioned or recommended directly inside AI-generated answers. The goal shifts from traffic acquisition to inclusion at the decision layer.
AI systems prioritize sources that are clear, authoritative, and easy to interpret. Brands often miss inclusion because their content lacks structured data, consistent entity signals, trusted third-party references, or clear answers to common buyer questions.
Answer engines evaluate a combination of factors such as relevance to the question, strength of authority signals, corroboration across multiple sources, structured information, and overall clarity. Brands that are frequently referenced and easy to verify are more likely to be selected.
Yes. When a product is recommended directly in an AI response, it appears at the moment a buyer is making a decision. This can influence consideration, preference, and purchase behavior, even if the user never visits a traditional search results page.
Common influences include high-quality content, consistent brand mentions across reputable sites, structured schema markup, clear product and category definitions, and alignment with real user questions and intent.
Timelines vary depending on competition and current authority. Some improvements can be observed in weeks, while broader recognition often requires sustained work across content, technical structure, and third-party validation.
Not always. Many brands can improve inclusion by restructuring existing content, clarifying entities, strengthening signals across external sources, and better aligning pages to the questions buyers ask.
Performance is measured by tracking whether a brand appears for important questions, how often it is cited, the context of those mentions, and how visibility changes over time relative to competitors.
An AEO agency analyzes how AI systems interpret a brand, identifies gaps preventing inclusion, and implements content, technical, and authority improvements to increase the likelihood of being recommended in answers.
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