Is GEO different from SEO?

It builds on SEO but focuses on being understood and cited by AI models, not only ranked by Google.

Can you guarantee ChatGPT will mention us?

No one can guarantee that. We improve the signals that make citation far more likely and track progress.

Who does the ai search optimization work?

The operator who scopes the work does the work. No hand-offs to junior teams.

Do we own everything?

Yes. Code, content, accounts, and data stay yours with zero agency lock-in.

Send a short brief or build a quick POC. We reply with a recommended next step.

Growth & Distribution

AI Search Optimization

Get cited by ChatGPT, Perplexity, and Google AI. Generative engine optimization so AI assistants understand, trust, and recommend you.

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Capability

Growth & Distribution

Primary outcome

Get cited by ChatGPT, Perplexity, and Google AI.

Delivery

Strategy through execution

In short

What this capability does

AI search optimization, also called generative engine optimization (GEO), makes your brand easy for ChatGPT, Perplexity, Claude, and Google AI Overviews to understand, trust, and cite. Cantellis combines structured data, llms.txt, answer-ready content, and authority signals with classic SEO.

Our point of view

The new front page is an answer, not a list of links.

Buyers increasingly ask ChatGPT, Perplexity, Claude, or Google AI Overviews which agency, tool, or consultant to choose. Those assistants answer with a short list and a summary. If your brand is not in that answer, or is described inaccurately, you lose the opportunity before a search result is ever clicked.

AI search optimization is not a replacement for SEO. It builds on the same foundations: crawlable pages, clear structure, authority, and genuinely useful content. What changes is the emphasis. Models reward direct answers, consistent facts across the web, structured data, and content that clearly states who you serve and what you do.

We practise this on our own site, with llms.txt, structured data on every page, direct answer blocks, and a public read-only MCP server that lets AI agents read our services accurately. We bring the same approach to clients, measured by how assistants actually describe them over time.

Critical signals

You likely need this if

01
Assistants recommend competitors but not you
02
AI describes your services incorrectly
03
Organic clicks fall while impressions rise
04
Buyers mention finding vendors through ChatGPT

The problem

What this solves

We turn the underlying constraint into a focused body of work, rather than treating surface symptoms in isolation.

01
AI assistants never mention your brand.
02
Competitors appear in AI answers instead of you.
03
Classic SEO alone is no longer enough.

Common use cases

Where this capability earns its place.

Brands missing from AI answers

Competitors are recommended by assistants while you are not.

B2B services with complex offers

Make services clear enough for AI to summarize accurately.

Content-rich sites with little visibility

Restructure existing content into answerable, citable formats.

What you get

Deliverables

AI visibility audit
Structured data and llms.txt
Answer-ready content
AI citation tracking

How it runs

Our approach

AI visibility audit

Test how assistants describe you and competitors today.

Technical foundation

Schema, llms.txt, sitemaps, crawlability, and clean metadata.

Answer content

Direct answers, FAQs, and comparison pages for real buyer questions.

Authority and tracking

Earn mentions and monitor AI citations over time.

Lovable and Claude

Excellence at speed

AI is the accelerator, not the product. One operator keeps strategy, build quality, and business context connected.

01
This site itself is built for AI search, with llms.txt, structured data, and an MCP server.
02
Claude is used to simulate buyer questions and test answer coverage.
03
Lovable implements technical changes immediately, no dev queue.

Expertise and outcomes

Capability that changes the work.

Our expertise

Generative engine optimization (GEO)
Structured data and llms.txt implementation
Pillar-cluster SEO strategy

Expected outcomes

Accurate descriptions of your brand in AI answers
More citations and mentions in AI search
Stronger classic SEO as a side effect

What we see go wrong

Common mistakes to avoid.

Assuming SEO rank equals AI visibility

Pages ranking on Google are not always the sources AI cites.

Inconsistent facts across the web

Conflicting descriptions confuse models and reduce citations.

Burying the answer

Long intros before the point make content hard for models to quote.

Chasing hacks

Hidden prompts and keyword stuffing risk trust with both search engines and models.

Measurement

How we measure success

AI mention rate: How often assistants name you for target questions
Description accuracy: Whether AI summaries match your positioning
Citation sources: Which of your pages get referenced
Organic and referral traffic: Including traffic from AI tools

Questions

FAQ

Is GEO different from SEO?: It builds on SEO but focuses on being understood and cited by AI models, not only ranked by Google.
Can you guarantee ChatGPT will mention us?: No one can guarantee that. We improve the signals that make citation far more likely and track progress.
Who does the ai search optimization work?: The operator who scopes the work does the work. No hand-offs to junior teams.
Do we own everything?: Yes. Code, content, accounts, and data stay yours with zero agency lock-in.
How do we start?: Send a short brief or build a quick POC. We reply with a recommended next step.

Pillar-Cluster Strategy

Topical authority that compounds over time.

AI Content Systems

On-brand content at scale, without AI slop.

B2B Growth Marketing

Full-funnel growth run by one operator.

Go-To-Market Launches

Launch with positioning, assets, and tracking ready.

Content Distribution

Put great content in front of the right buyers.

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Proof, not promises

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