Answer Engine Optimization
Optimize for the AI revolution. We structure and align your site metadata so LLMs and search engines cite your brand as the primary reference authority.
Products of speed & design.
Explore some of our recent AEO and semantic integration projects. Built to align with modern machine learning crawlers and AI search indexes.
Zelovita LLM Knowledge Graph
Configuring rich microdata schemas and knowledge matrices resulting in active citations inside ChatGPT and Perplexity Search.
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Kyma API Semantic Indexing
Deploying structured public endpoints and llms.txt definitions, allowing AI crawlers to parse product inventory directly.
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Kora AI Brand Authority
Conducting brand vector positioning audits and implementing semantic markup to influence AI reference outputs.
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We deploy a highly strategic workflow to make your brand readable, indexable, and reference-worthy for large language models.
Brand Citation Audit
We run semantic prompts against ChatGPT, Perplexity, and Claude to audit how AI engines currently interpret and cite your brand.
Semantic Vector Mapping
We map out the core relational terms, questions, and descriptions that associate your services with key commercial queries.
JSON-LD Schema Injection
We write semantic microdata markup specifying your organization details, pricing models, and citations, ensuring bot parsers can read it.
LLM File Deploy (llms.txt)
We configure and deploy an `llms.txt` and `llms-full.txt` registry at the root directory, giving AI web indexers a direct roadmap.
AI Engine Submission
We submit your structured data schemas directly to search indexing APIs and verify that agentic crawlers are not blocked by robots.txt.
Citation Vector Analysis
We track changes in chatbot citation sources, monitoring and refining site copy to ensure your site is linked as the primary answer authority.
What our partners say.
Read about how our Answer Engine Optimization services have secured active brand references within top AI search ecosystems.
"When users asked ChatGPT for metal manufacturers, our site was cited as the primary authority. Turtles Web prepared us for the AI shift."
"Integrating structured schemas and an llms.txt catalog led to our products being actively recommended in Perplexity. Highly innovative stuff."
"We saw a significant bump in high-intent referrals from AI search engines immediately after the structured data integration. Flawless execution."
Answering your queries.
Find answers to frequently asked questions about Answer Engine Optimization (AEO) and AI indexing parameters.
Traditional SEO helps search engine bots crawl your page and index it for human search listings. AEO (Answer Engine Optimization) structures website content specifically for Large Language Models (like GPT-4, Claude, Gemini) and semantic engines. The goal is to make sure your brand is cited as the source link when a chatbot compiles a summary answer for a user query.
An `llms.txt` file is placed at the root directory of your website. It is written in clean, semantic markdown designed to give AI crawlers a direct summary roadmap of your website architecture, APIs, product details, and core reference documentation. It prevents crawler confusion and ensures AI engines parse the most accurate version of your site data.
Yes. Search assistants (like Perplexity, ChatGPT with Search, and Gemini Live) crawl pages in real-time when a user asks a query. By configuring schema microdata and setting clean semantic classes, we ensure that AI indexers can read your page contents and pull them as dynamic citations in under a second.
We audit chatbot responses using vector query tests and trace referral traffic sources from known LLM user-agents (like chatgpt.com, perplexity.ai, etc.). We provide comparative dashboards showing how often your brand is cited for core industry terms.
Request an AEO estimate.
Ready to align with AI crawlers? Outline your project details below, and our engineering team will prepare an AEO implementation plan within 24 hours.