The future of search is conversational. We optimize your website's content and structure to ensure your business is accurately retrieved, understood, and cited by AI Answer Engines like ChatGPT, Perplexity, and Google's AI Overviews.
Forward-thinking B2B companies, tech startups, and thought leaders who realize that their customers are asking ChatGPT for recommendations instead of Googling.
Focused implementation for the specific business problems listed below.
Overview
Entity optimization, conversational content structuring, implementation of llms.txt, and strict semantic HTML architecture designed specifically for AI crawlers.
Pricing depends on how much content restructuring is needed and the depth of the initial AI retrieval audit. This is a newer discipline, so scope is assessed project by project.
An initial audit and first round of implementation typically takes 2–4 weeks; like traditional SEO, visibility improvements in AI-generated answers build over time.
Common reasons businesses choose this service.
When you ask ChatGPT for the 'Best [Your Industry] Software', your competitors are listed but you are not.
AI tools are generating outdated pricing or feature information about your product.
Your website is built entirely on flashy visuals and videos, giving AI bots zero actual text to read and understand.
You lack a centralized 'source of truth' that LLMs can easily parse.
AI Retrieval Audit (Testing how LLMs currently view you)
Entity & Knowledge Graph Reinforcement
Conversational Content Restructuring (Q&A formatting)
llms.txt File Creation & Implementation
Strict Semantic HTML Enforcement
Information Density Optimization
Process
We query major AI models (GPT-4, Claude, Perplexity) to see what they currently 'know' about your brand and identify inaccuracies.
We strengthen your digital footprint by defining your company as a clear entity, linked to authoritative external sources (Crunchbase, Wikipedia, PR).
We reformat key pages to be highly dense in factual information, using direct Q&A formats that AI models prefer to use as citations.
We implement specialized files like llms.txt and ensure your HTML structure is impeccably clean and semantic for AI crawlers.
We periodically test the models to ensure the optimization has taken effect and your brand is being cited correctly.
Use Cases
Restructuring a B2B software company's feature pages so Perplexity accurately cites them as the top solution for a specific niche workflow.
Fixing an issue where ChatGPT consistently associated a brand with a defunct product line by updating entity schema and creating a clear llms.txt file.
Establishing a CEO as a recognized entity in their field so AI engines recommend their thought leadership alongside major industry figures.
Recommendations
This engagement is designed to integrate cleanly with your existing codebase, hosting infrastructure, and marketing workflows. Deliverables include complete documentation and technical handover for your internal team.
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Connected evidence
Explore technical case studies, architectural guides, and implementation decisions from our production projects related to this service.
Case studies
Related insights
Improve how AI search systems interpret your website with clear page structure, useful original content, crawlable pages, entity clarity, and accurate structured data.
Technologies
HA Web Studio builds AI agents that go beyond answering questions, taking multi-step actions like checking data, booking, or updating records.
FAQ
Direct answers to common questions about scope, technical delivery, and project expectations.
Start a project conversation or request an audit if you want to talk through the right next step first.