Rozz AI Search Infrastructure

Three surfaces — § 01

Your new users are already here.

Inside your site — i.

What is your chatbot saying about your product?

Rozz answers visitors with content from your own pages, with links to the source.

Every conversation tells you what your audience came to learn.

Outside your site — ii.

What does ChatGPT say when someone asks about you?

AI assistants are answering questions about your category before prospects reach your site.

Rozz builds authoritative content these assistants use, and Rozz reports monthly on which pages they accessed.

Inside AI tools — iii.

What happens when a coding agent reads your pricing page?

Tools like Claude Code go from question to working code in seconds when your content is built for them.

On the Genymotion AI site, one session did exactly that.

No browser involved.

Control + optimization — § 02

You control what AI says about your product.

Pin the answers that matter.

Override the topics.

Set priorities.

Protect the terms that must stay exact.

Rozz produces the right format for AI assistants, your chatbot, and coding agents, then gives you what you need to optimize each one.

Pinned answers

Lock the exact response a chatbot or AI assistant returns for the questions that matter most.

Topic overrides

Steer the topic map your AI site exposes: promote what matters, retire what doesn't.

Priority weights

Tell the system which pages are canonical, which are seasonal, and which are deprecated.

Protected terms

Product names, trademarks, version numbers: kept verbatim, never paraphrased.

The real work — § 03

The work isn't llms.txt.

It's what's in it.

2% of a typical marketing site is useful for AI. The rest is navigation, boilerplate, and deprecated content.

Anyone can generate llms.txt, JSON-LD, schema markup, or a mirror site. The work is what goes in those files.

Knowing which 2% to keep, how to cluster it into topics LLMs recognize, and how to phrase a Q&A so it matches how prospects actually ask AI assistants is editorial.

Enter Rozz.

The reader's side — § 04

What changes for the AI reader.

the reading budget

Two or three page loads per answer.

Make them count.

An assistant answering a buyer does not browse. It fetches a few pages and writes.

Genymotion's pricing page is about 182,000 tokens of markup around 3,000 tokens of text. The same facts on their AI site take 2,400 tokens and one fetch.

What an assistant doesn't spend parsing, it spends reading.

your prices

Prices an AI can quote.

A pricing widget reads to an assistant as "$ 239 99 / year", next to a billing toggle it cannot see. On the AI site it is a sentence: $239.99 per year, per computer.

A quotable sentence is the difference between being quoted and being misquoted.

scattered answers

One place instead of three.

Your answer lives across your website, your docs and your help center. An assistant won't make three hops. It answers from the first one.

The AI site brings them together under your domain, with every answer linked back to the page it came from.

what you don't do

It says where the product stops.

When your site is silent, an AI guesses. Usually in your favor, until the customer finds out.

An AI site states limits plainly: no native GitLab integration is documented; GitHub Actions, CircleCI, Bitrise and Jenkins are. An assistant repeats that instead of inventing a yes.

The AI site is where assistants read. Your domain is what they cite.

It lives on your subdomain. Every answer names its source page on your site, and carries the date it was last verified against it.

What Rozz does — § 05

A single editorial system, three audiences.

AI assistants

Builds the AI site they crawl.

Cleaned content.

The right schema.

Topic structure they recognize as a coherent map.

Refreshed weekly.

your chatbot

Answers visitors with your own pages.

With links to the source.

Promotes the best conversations into Q&A pages on the AI site, each one rewritten as documentation and linked to its source page.

coding agents

Authors runbooks linked from every relevant Q&A.

When an agent reaches the pricing page, the implementation steps are one fetch away.

A case in evidence — § 06

Ninety days on genymotion.com.

Genymotion · cloud + desktop · publicly reported

2026

Inside the site

3, chatbot sessions across 6,420 questions in 90 days.

In ChatGPT and Claude

8, 313 answers where ChatGPT opened the AI site while replying to someone. About 92 a day.

Claude: 260 and rising.

Jun 23 to Sep 20.

What they came to read

1 in 7 of those answers was about pricing or licensing.

Buyers ask an assistant what you cost before they ask you.

Read the full case study. 90 days on Genymotion.com →

Who we are — § 07

Specialists in AI answers.

We've watched AI read for years.

Before Rozz built AI sites, we spent three years running production chatbot pipelines and twenty years building software. We've watched AI assistants read, retrieve, and cite across millions of real questions, and learned exactly what they keep and what they ignore.

That expertise is the product.

Knowing which content AI trusts, how to structure it, and how to phrase an answer the way buyers actually ask is what goes into every AI site we build.

Specialists in AI answers, now building the sites those answers come from.

Reading — § 08

Insights.

How it works for your team — § 09

Two DNS records. One script tag.

You won't touch your CMS. Two DNS records and one script tag are the only changes to your site. Rozz handles the rest. First measurable AI activity within two to four weeks.

Your data stays controlled.

Only publicly-available content from your site is collected. PII is minimal, and systematically filtered from any Q&A page before publishing. Sessions are stored on our infrastructure under industry-standard security. When a session captures an email, the visitor sees a notice and can opt out.

Built on three years of production chatbot pipelines and twenty years of software experience.

Pricing — § 10

$997 .

a month · all in · cancel anytime

One price. Every surface. One price covers the AI site, the chatbot, the editorial controls, and monthly reporting. Refreshed weekly. No setup fee.

• AI site with weekly refresh
• On-site chatbot with citations
• Editorial controls + Q&A authoring
• Monthly retrieval & citation report
• Coding-agent runbooks

Are you an agency?

Rozz is starting a partner program.

Why now

Every time a new version of ChatGPT, Claude, or Gemini ships, it trains on what was available before the cutoff.

The companies being cited now get cited more confidently in the next version.

The ones that weren't there stay invisible.

When you're not in the answer, your competitors are.

Questions — § 11

Frequently asked.

Can't I just add structured data to my existing site? +

You can add schema markup to your existing site, and you should.

But structured metadata on a page that loads 50+ scripts and organizes content by navigation menus is a marginal improvement.

An AI site gives agents structured content they can actually extract: schema markup on every page type, llms.txt discovery files, JSON APIs, topic taxonomy, Q&A pages from real questions, answer-first structure, and sub-100ms rendering.

On Genymotion, 94.8% of ChatGPT citations go to the client's main domain, 0% to the mirror site. The AI site is a knowledge funnel, not a competing authority.

Is this GEO or AEO? +

GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are the AI-era version of SEO: ways to make your existing website easier for AI to read, trust, and cite.

The difference between them is small.

AEO is about being the direct answer an assistant gives. GEO is about being cited in the answer it generates.

Rozz delivers both, but doesn't stop at tuning your current site. It gives you a dedicated AI site with answer-first content, Schema.org markup, llms.txt, and Q&A pages built in.

Content engineered for extraction, not retrofitted onto a marketing page. GEO and AEO are the goal; the AI site is how Rozz gets you there.

Does a mirror site hurt SEO? +

No.

The AI site uses canonical tags pointing back to the main domain.

Google has been clear that canonical tags handle alternate representations, the same pattern AMP pages used for years.

The AI site sits on a separate subdomain and does not compete with the main site for Google rankings.

How much work is this for my team? +

Two DNS records.

That is it.

Rozz runs, supervises, and monitors everything. The AI site is updated weekly, automatically. This is a managed service, not a tool you operate.

How much does Rozz cost? +

Rozz costs $997 per month.

This includes the AI site, chatbot, dashboard, weekly content updates, and ongoing monitoring.

30-day money-back guarantee.

Additional content shown in screenshots (not present as headings in the extracted HTML)

GENRATIVE ENGINE OPTIMIZATION

AI SEARCH INFRASTRUCTURE

Last Updated: 2025-12-08

ROZZ helps B2B SaaS companies get discovered and cited by ChatGPT, Claude, Perplexity, and Google AI Overviews. We built the infrastructure layer that makes your content machine-readable for AI search — an AI chatbot that captures visitor questions and turns them into clickable Q&A pages, Schema.org markup, and llms.txt discovery files. Unlike monitoring tools that track visibility, ROZZ creates the technical foundation that makes visibility possible.

$997/month | Get cited by AI search | San Francisco

THE SEARCH PARADIGM HAS SHIFTED

When prospects ask AI "What's the best [your category]?" they get instant recommendations for 3 to 5 companies cited directly in the response.

ROZZ helps B2B SaaS companies achieve 75% citation rates across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.

Your competitors are in those AI responses. If you're not, prospects never discover you exist.

73% of B2B software buyers now start their research with AI tools

They're not Googling anymore. They’re asking:

• "What's the best CRM for small businesses?"
• "Which project management tool has the best API?"
• "Show me customer data platforms under $500/month"

ChatGPT responds instantly with 3-5 company recommendations. Perplexity provides a ranked list. Claude writes detailed comparisons.

YOUR COMPETITORS ARE IN THOSE RESPONSES. YOU'RE NOT.

THE GAP WIDENS

TODAY THEM: [VISIBLE] -> [IN TRAINING DATA] -> [CITED MORE]

NEXT RELEASE … COMPOUNDING ADVANTAGE

YOU: [INVISIBLE] -> [NOT IN DATA] -> [NEVER CITED]

VICIOUS CYCLE

WHY TRADITIONAL SEO WON'T SAVE YOU

Research from Ruhr University analyzing 4,600+ AI search queries:

53% of companies cited by AI search engines don't appear in Google's top 10 results. Some don't even rank in the top 100.

AI systems don't care about:

• Your backlinks
• Domain authority
• Keyword optimization

They use completely different retrieval mechanisms your SEO team doesn't understand.

THE HIDDEN COST OF INVISIBILITY

• Prospects exclude you before evaluation even begins
• Competitors with worse products get more inbound leads
• Sales cycles start later—after shortlists are already set
• Organic traffic plateaus despite content investment

FIND WHAT YOU NEED - SELECT YOUR ROLE

CE0 / FOUNDER

• Show me ROI and proof of results
• What's the timeline to see citations?
• Why can't we do this ourselves?

MARKETING LEADER

• How does GEO fit my SEO strategy?
• How much work for my team?
• How do you measure GEO success?

TECHNICAL

• Explain the architecture
• What's your tech stack?
• How does data privacy work?

AGENCY / PARTNER

• Partnership pricing and discounts?
• White-label options available?
• Implementation effort per client?

Or type your own query in the chat box below:

THE TECHNICAL FOUNDATION THAT ENABLES GREAT CONTENT

Your content marketing team creates valuable insights.

Our technical infrastructure makes them discoverable by AI systems.

Great content + Machine-readable structure = AI citations

ANSWER DIRECTNESS AI scans first 100 words heavily. We structure your content so answers come first, not after 300 words of preamble.

MACHINE READABILITY Clean HTML, semantic structure, Schema.org markup AI can parse with confidence.

SOURCE AUTHORITY E-E-A-T signals: author credentials, company info, citations to authoritative sources.

FRESHNESS SIGNALS Perplexity heavily weights recency. "Updated Dec 2025" matters more than you think.

Companies achieving 60-75% citation rates combine strong content with the technical layer AI systems require to extract and cite it.

CONTENT + INFRASTRUCTURE = DISCOVERABILITY

ROZZ: TECHNICAL INFRASTRUCTURE FOR AI DISCOVERY

We build the machine-readable layer that makes your website discoverable by AI search engines.

WHAT WE INSTALL

• AUTOMATED Q&A ARCHITECTURE

Extract customer from chat conversations, generate AI-optimized answer pages with responses in first 100 words, clean HTML that LLMs parse reliably, platform-specific variants for each AI system.

• COMPLETE STRUCTURED DATA

Automatic JSON-LD schema markup (FAQPage, Article, Organization), entity recognition signals, machine-readable metadata on every page.

• TOPIC-BASED CONTENT ARCHITECTURE

Semantic internal linking, topic clusters demonstrating comprehensive coverage, API endpoints for programmatic discovery.

• AI CRAWLER MANAGEMENT

llms.txt configuration, optimized structure for content extraction, platform-specific optimization rules.

• ROZZ AI CHATBOT (RAG-POWERED, NO HALLUCINATION)

Embedded AI search that answers visitor questions using YOUR content—not generic AI responses.

Because answers are grounded in your actual pages (Retrieval-Augmented Generation), there's no hallucination or off-brand responses.

Bonus: Every question is logged and feeds your Q&A pipeline, creating fresh content that matches what prospects actually ask.

THE ROZZ VIRTUOUS CYCLE:

• USER QUERIES
• ROZZ CHATBOT → INSTANT ANSWERS
• LOGGED → TO Q&A PIPELINE
• NEW CONTENT CREATED
• AI SYSTEMS CITE YOU
• MORE VISIBILITY
• MORE USER TRAFFIC
• MORE QUERIES (COMPOUNDS →)

THE ROZZ ARCHITECTURE Two integrated products. One virtuous cycle.

ROZZ CHATBOT

• Deployed on your domain
• AI-powered search widget embedded on your website.
• Answers visitor questions using YOUR content via RAG (Retrieval-Augmented Generation).
• No hallucination—grounded in your content
• Questions logged → feed content pipeline
• Single script tag deployment

GEO MIRROR SITE

• Deployed at: rozz.yourdomain.com
• Optimized content with Schema.org markup, answer-first structure, and freshness signals that AI systems require.
• SEO-safe: canonical tags to your original content
• Q&A pages from real user questions
• llms.txt for AI crawler discovery

CLIENT SETUP REQUIRED:

• 2 DNS records (CNAME for rozz.yourdomain subdomain)
• 1 file (llms.txt at your domain root)
• That's it. No website redesign. No CMS changes.

WHAT WE MEASURE

• Citation rate across Claude, ChatGPT, Perplexity, Gemini, Google AI Overviews
• Position when cited (1st, 2nd, or 3rd recommendation)
• Coverage across your priority queries
• Week-over-week improvement trends

TARGET: 60-75% CITATION RATE WITHIN 90 DAYS

WHAT THIS DOESN'T DO

ROZZ is technical infrastructure, not content creation:

• We don't write your marketing content (your team does that)
• We don't distribute to Reddit, YouTube, or social platforms
• We don't replace your content strategy
• We don't require website redesign
• We don't hurt your SEO

SEO-SAFE: Mirror site uses canonical tags pointing to your original content. No duplicate content penalties. Your existing Google rankings are protected.

We add the machine-readable layer that makes your existing content discoverable. Think of it as technical SEO for AI search—optimizations your content team can't see but AI systems require.

BUILT ON RESEARCH, PROVEN THROUGH SCALE

AUTHOR Adrien Schmidt, Co-Founder & CEO Former AI Product Manager with 10+ years experience building AI systems including Aristotle (conversational AI analytics) and products for eBay and Cartier. Founded Squid Solutions (Big Data analytics).

Our approach is grounded in peer-reviewed research on:

• Retrieval-Augmented Generation (RAG) systems
• Neural information retrieval
• LLM citation behavior
• Platform-specific ranking mechanisms

Every optimization is:

• Backed by academic papers on how AI systems work
• Tested across 200+ queries and four platforms
• Validated through measurable citation improvements
• Updated continuously as AI systems evolve

WE APPLY SCIENCE. NOT GUESSWORK.

FOR B2B SAAS CEOS WHO CAN'T AFFORD INVISIBILITY Your sales team can't sell to prospects who don't know you exist. Your best content is useless if AI systems can't cite it. Your competitors are getting cited right now—while you're excluded.

$997/month Get cited by AI search No long-term contract. Cancel anytime.

• SCHEDULE 15-MINUTE DEMO
• SIGN UP NOW

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