Agent Search Engine Optimization

Get inside
AI answers,
not just
search results.

SEO gets you ranked. Hunty gets you cited — by ChatGPT, Claude, Perplexity, Google AI Overviews, and every AI answer surface that's replacing the search results page.

View pricing What is Hunty? →
ChatGPT Claude Perplexity Google AI Copilot Apple your website Meta AI OpenClaw Gemini Brave You.com Phind llms.txt Schema robots JS ratio Meta
The problem

Search is no longer just search.

Your customers are asking ChatGPT, Perplexity, and Google AI what to buy, who to hire, and which tool to use. If your content isn't structured for AI retrieval, you don't exist in those answers.

Traditional SEO gets you a blue link. Hunty gets you cited as the source inside the answer itself.

Hunty — Definition

Agent Search Engine Optimization (Hunty) is the practice of structuring web content so that AI language models prefer to cite it when generating answers. Hunty targets entity density, structured data patterns, FAQ schema, and crawler access policies across every major AI answer surface.

7 surfaces we optimize for
ChatGPT / SearchGPT
Prefers dated, authoritative, bylined content
High priority
Perplexity
Answer-first paragraphs, inverted pyramid
High priority
Claude
Entity-dense, definitional content
High priority
Google AI Overviews
FAQPage + HowTo schema, E-E-A-T signals
High priority
Bing Copilot
Clear authorship, IndexNow, trust signals
Medium
Apple Intelligence
Safari Reader View, Applebot-Extended
Medium
Meta AI
OG metadata, social share signals
Growing
Brave + YouBot
Independent indices, clean robots.txt
Emerging
Process

From brief to cited in four steps.

01 / Research

Vertical & entity mapping

We map the questions AI agents answer in your space and identify the citation gaps your competitors aren't filling.

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02 / Strategy

AEO content architecture

Every page gets a citation strategy: entity declarations, FAQ schema, structured data, and semantic hierarchy optimised per surface.

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03 / Deploy

Copy, docs & skills

We write and deploy the copy, developer docs, and reusable prompt skills — plus annotated screenshot walkthroughs for onboarding.

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04 / Evergreen

Ongoing citation health

Monthly audits track your scores across all 7 surfaces and apply patches as LLM citation patterns and schema standards evolve.

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Pricing

Straightforward tiers.
No retainer surprises.

All tiers include the full Hunty audit, citation surface scoring, and llms.txt deployment. Ongoing maintenance included from Growth up.

Starter
Crawl
One-time Hunty audit and copy package for new sites and solo founders who need to get found inside AI answers fast.
$ 497 one-time
  • 7-surface citation audit with scores per page
  • Homepage + 2 page copy Hunty-optimised
  • FAQPage + Organization schema JSON-LD
  • llms.txt deployed at /llms.txt
  • robots.txt with all 10 LLM crawlers
  • 3 citation gap answer blocks
  • 1 annotated screenshot walkthrough
  • Delivered in 5 business days
Get started
No subscription. Take the files and go.
Most popular
Index
Full site Hunty plus monthly maintenance. Scores improve every month as LLM citation patterns shift and new surfaces emerge.
$ 297 / month
  • Everything in Crawl
  • Full site copy audit — up to 10 pages
  • Blog post / doc written monthly (AEO-first)
  • Monthly citation rescore across 7 surfaces
  • Standards drift tracking — schema, crawlers, CWV
  • 3 reusable prompt skills published to GitHub
  • 3 annotated screenshot walkthroughs
  • DevRel doc improvements (1/month)
  • Improvement score log — track progress over time
Start free audit
14-day trial. Cancel anytime.
Scale
Rank
Full-stack Hunty operations for teams with multiple products, developer audiences, and serious content velocity needs.
$ 797 / month
  • Everything in Index
  • Unlimited pages in citation audit
  • 4 blog posts / docs per month
  • Weekly citation surface rescore
  • Competitor citation tracking — are they outranking you in AI answers?
  • Full DevRel doc suite — getting started, explainers, cookbook
  • Full screenshot walkthrough library (all flows)
  • Quarterly full research refresh
  • Slack channel access for async questions
  • Priority turnaround (48hr)
Talk to us
Best for dev tools, SaaS, and API companies.

Enterprise & Agencies

White-label, multi-brand, custom workflows, and SLA-backed delivery. Built on the same OpenClaw agent pipeline.

White-label delivery Multi-brand management Custom agent workflows Volume pricing SLA guarantees
Get a quote

Questions agents ask about us.

What is Agent Search Engine Optimization (Hunty)?
Hunty is the practice of structuring web content so that AI language models — ChatGPT, Claude, Perplexity, Google AI Overviews, and others — prefer to cite it when answering user queries. It differs from traditional SEO in that it targets AI retrieval preferences rather than search engine ranking algorithms. The core techniques are entity density, structured data markup, FAQ schema, answer-first paragraph structure, and explicit crawler access policies.
How is Hunty different from traditional SEO?
SEO targets search engine ranking algorithms — PageRank, backlinks, Core Web Vitals. Hunty targets AI citation preference — entity recognition, structured data parsing, FAQ pattern matching, and RAG chunk quality. A page can rank #1 on Google and never appear in a single ChatGPT or Perplexity answer. Hunty optimizes for both simultaneously.
What is llms.txt and why does it matter?
llms.txt is an emerging standard (llmstxt.org) — a plain-text file placed at /llms.txt on your domain that tells AI language models what your site covers and which pages are worth citing. Think of it as robots.txt but written for AI agents rather than crawlers. We deploy it as part of every engagement.
How long until I see results in AI answers?
Citation appearances in LLM answers depend on when each model retrains or refreshes its retrieval index. For real-time retrieval surfaces like Perplexity and Bing Copilot, improvements can appear within days of deployment. For model knowledge cutoff-based surfaces like base ChatGPT, changes take effect at the next training cycle — typically 3–6 months. The Crawl tier delivers the foundation; the Index and Rank tiers improve scores as citation patterns evolve over time.
What is a citation surface score?
Each of the 7 LLM answer surfaces has different citation triggers. We score your content 1–5 per surface based on how well it matches that surface's retrieval preferences. A 1 means the content is unlikely to be cited; a 5 means it's structured for maximum citation probability. Monthly rescoring tracks whether your scores improve over time.
Do you write the content or just audit it?
Both. Every tier includes new copy written to Hunty standards, not just audits of existing content. We write homepage and service page copy, developer documentation, blog posts, email sequences, and reusable prompt skills. The Rank tier includes 4 pieces of new content per month.