Your prospects ask AI before they visit your site. Are you in the answer?
Rozz builds an AI site for your brand. Same content, built for AI agents. A structured layer at rozz.yourdomain.com that AI systems trust, crawl, and cite.
The problem
Your website wasn't built for AI agents
Humans and AI agents are both users of your content. They need very different things. Your website is built for one of them.
Human website:
- Content mixed with tracking scripts, analytics tags, A/B frameworks, cookie consent, and chat widgets
- AI crawl budget spent parsing overhead instead of reading answers
- Content organized by navigation menus, not by topic or question
- No way to tell which pages are current and which are three years stale
- One generic schema type across the whole site
- No discovery file telling bots where to start
AI crawl efficiency:
- genymotion.com: 69 scripts, 3,249 DOM nodes
AI site:
- Pages are content: clean HTML, structured data, nothing in the way
- Every request returns extractable answers
- 178 Q&A pages organized into 15 semantic topics
- Every page has explicit timestamps; stale content refreshed or removed weekly
- Schema.org on every page: QAPage, WebPage, CollectionPage
- llms.txt discovery file tells bots exactly where to look
AI crawl efficiency:
- rozz.genymotion.com: 2 scripts, 61 DOM nodes
Same content, separate layer
Same content, separate layer. Designed for how AI agents actually retrieve and cite information.
And once agents start acting on behalf of buyers (booking demos, starting trials, pulling specs into procurement docs) the gap between having this layer and not having it gets a lot wider.
Ask: what would my AI site look like?
What you get
Three things, fully managed
1. An AI site at rozz.yourdomain.com
Your content, restructured for AI agents.
Clean HTML. Schema.org markup on every page. Q&A pages generated from real visitor questions. Topic taxonomy. llms.txt discovery files. JSON APIs.
Updated weekly.
You can visit it and see exactly what AI agents see.
2. A chatbot that feeds the system
Answers visitor questions instantly using your own content.
Every question becomes potential Q&A content for AI discovery.
Hundreds of new questions come in every week. Visitor intent becomes citable pages.
Single script tag. Deploys in minutes.
3. A dashboard showing what AI is doing with your brand
Which bots crawl your content. What gets cited. What questions people ask. What's working.
GEO analytics by bot, by page, by topic.
Visibility into a channel that's currently a black box.
Everything runs on Rozz infrastructure.
No content to produce, no new CMS to manage, no structured data to learn.
Your team stays focused on what they're already doing.
How it works
Live in days, not months
1. We set up your AI site. You add 2 DNS records. 2. AI agents discover and crawl your content. 3. You get cited when people ask AI about your category. 4. You see everything in your dashboard.
15 minutes to set up. Two DNS records and one file at your domain root. No website redesign, no CMS changes.
Case study: Genymotion
Cited in 95% of AI queries, up from 14%.
Genymotion makes an Android emulator used by developers worldwide.
After deploying their AI site at rozz.genymotion.com, their citation rate went from 14% to 95% across relevant AI queries.
The questions being cited are purchase decisions: pricing, system requirements, compatibility, how to get started.
When Genymotion isn't in the answer, their competitors are.
FAQ
Can't I just add structured data to my existing site?
You can add schema markup to your existing site, and you should.
Structured metadata on a page that loads 69 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
- sub-100ms rendering with minimal DOM
Same content, built for a different consumer.
Canonical tags keep your SEO intact.
94.8% of ChatGPT citations go to the main domain. 0% to the mirror site.
Is this safe for our SEO?
The AI site uses canonical tags pointing back to your main domain.
Google has been clear that canonical tags handle alternate representations.
This is the same pattern AMP pages used for years.
The AI site is on a separate subdomain and doesn't compete with your main site for Google rankings.
Tracked across 120 unique cited URLs.
All citations attribute to the main domain.
How much work is this for my team?
Two DNS records. That's it.
Rozz runs, supervises, and monitors everything.
The AI site is updated weekly automatically.
New Q&A pages are generated from real visitor questions.
Stale content is refreshed.
This is a managed service, not a tool you operate.
How do I know it's working?
Your dashboard shows which bots are crawling, which pages get cited, and what questions are driving traffic.
You can also test it yourself: ask ChatGPT about your product category and see if you're in the answer.
Genymotion went from 14% citation rate to 95% within weeks of deployment.
Two DNS records. That's all we need to start.
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.
Pricing
$997/month
AI site + chatbot + dashboard + weekly updates. 30-day money-back guarantee.
v2025.12.08
GENERATIVE ENGINE OPTIMIZATION
AI SEARCH INFRASTRUCTURE
Last Updated: 2025-12-08
Rozz helps B2B SaaS companies get discovered and cited by AI search
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 citable 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 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.
2000 SEO ERA (Google Rankings)
2025 GEO ERA (AI Citations)
New to GEO? Start here:
- What is GEO and why does it matter?
- How is AI search different?
73% of B2B software buyers now start their research with AI tools
They’re not Googl ing 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.
TODAY / MODEL TRAINING / NEXT RELEASE
Them:
- [VISIBLE] → [IN TRAINING DATA] → [CITED MORE]
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
Skip traditional navigation. Our AI answers your questions based on your role.
CEO / FOUNDER
- Show me the 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 is this 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:
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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 questions from customer 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 statement:
- SEO-SAFE: Mirror site uses canonical tags pointing to your original content. No duplicate content penalties. Your existing Google rankings are protected.
Machine-readable layer statement:
- 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
See what AI says about your category today
- SIGN UP NOW
Start getting cited by AI in 30 days
ROZZ — AI Search Infrastructure
rozz@rozz.site
San Francisco Bay Area
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