BTWA

SEO · AEO · GEO

SEO, AEO & GEO for the AI Search Era.

BTWA works on technical SEO, crawlability, useful content, internal links, consistent business information, appropriate structured data, and measurement.

Search is no longer one channel. Brands are discovered through Google, AI Overviews, ChatGPT, Perplexity, Gemini, social search, maps, paid media, and answer engines.

The work now has to serve two audiences: people who need clarity, and machines that need structure.

○

Human search

  • intent
  • trust
  • clarity
  • offer
  • conversion
◆

BTWA system

  • landing pages
  • content architecture
  • SEO / AEO / GEO
  • tracking
  • reporting
  • optimization
◇

Machine retrieval

  • crawl path
  • structured data
  • consistent facts
  • metadata
  • useful content
  • internal links
Crawled · Clear · Consistent · Measured

The terms changed because the search environment changed.

01

SEO

SEO is the practice of making a brand easier to find, understand, and trust in traditional search engines.

BTWA treats SEO as technical visibility infrastructure: crawlability, content architecture, internal linking, page performance, structured metadata, local signals, and conversion paths.

02

AEO

AEO is the practice of structuring content so answer engines can extract clear, useful responses from it.

AEO puts a direct answer on the page for questions people ask in AI Overviews, voice search, snippets, and conversational search.

03

GEO

GEO is the practice of making a page’s facts, offer, and structure clear enough for a generative system to read and summarize.

That means crawlable pages, useful content, internal links, consistent business information, structured data that matches the page, and measurement.

Search is becoming an answer layer.

When search engines and AI systems answer more questions directly, the page has to state the offer and the facts clearly enough to be read before a click.

Zero-click pressure

More answers now appear before a click. Brands need pages that can still be found, understood, and chosen when the result never leaves the search surface.

AI-generated answers

Answer engines summarize pages they can read. The work is to state the offer, the facts, and the next step specifically on the page.

Conversational research

Buyers ask questions in full sentences. Pages have to answer those questions directly, then give a next step a person can take.

Readable structure

Headings, consistent facts, and structured data that matches the visible page help a crawler read the site. A separate AI schema is not required.

Traditional SEO is still part of the work. A modern search system also needs crawlable pages, useful content, internal links, consistent business information, structured data that matches the page, a clear next step, and measurement.

Marketing for humans and machines.

Modern marketing has to persuade people while giving machines enough structure to understand, classify, and retrieve the brand.

For humans, the page needs clarity, trust, useful content, strong creative, and a conversion path that makes sense.

For machines, the page needs a crawlable structure, clear headings, useful content, internal links, consistent facts, and structured data that matches what a person can read.

Human layer

  • message
  • offer
  • trust
  • proof
  • conversion

Machine layer

  • crawl path
  • structured data
  • metadata
  • consistent facts
  • internal links
  • measurement

A page that can convert the person and explain itself to the machine.

A campaign page is no longer just a page.

A campaign landing page is both a human conversion surface and a machine-readable evidence object.

Campaign Landing Page Execution Model

Problem

The campaign has a strong message, but search engines and AI systems cannot clearly understand the offer, audience, proof, or next step.

Outcome

The page states the offer, the proof, and the next step in language a person can use and a crawler can parse.

BTWA builds

  • landing page structure
  • answer-first content blocks
  • offer hierarchy
  • structured data that matches the page
  • internal linking
  • tracking events
  • conversion path
  • reporting view
  • SEO / AEO / GEO content layer

01

Brief

02

Landing page

03

Human conversion

04

Machine retrieval

05

Tracking

06

Reporting

07

Optimization

The work.

Technical SEO, crawlability, useful content, internal links, consistent business information, appropriate structured data, and measurement. Content still has to be true and specific. Structure helps a crawler read it.

Inclusion in Google AI features does not require a special LLM script, an llms.txt file, or a separate AI schema. BTWA does not guarantee rankings, citations, recommendations, or that an AI system will change an answer.

01

Technical SEO and crawlability

  • Crawlable pages
  • Site architecture
  • Page performance
  • Indexation
  • Clean status codes

02

Useful content

  • Pages that answer real questions
  • A clear offer
  • Proof a person can check
  • A next step

03

Internal links

  • Related services
  • A path through the site
  • Links that match the visible topic

04

Consistent business information

  • The same name
  • The same services
  • Facts that match across pages

05

Appropriate structured data

  • Schema that matches the visible page
  • Organization and service facts
  • No separate AI-only markup

06

Measurement

  • Search performance
  • Visits
  • Conversions
  • What changed after the work

Content, structure, and measurement.

The page, the content, the technical structure, structured data that matches what a person can read, the next step, and the reporting loop are built as one system.

  • Pages built to be crawled and understood
  • Content that answers specific questions
  • Internal links between related pages
  • Business information that stays consistent
  • Structured data that matches the page
  • Measurement of visits and conversions

Search

Start a conversation.

Share the site, the offer, and what you want people to be able to find. BTWA replies by email about the crawlability, content, links, business information, structured data, and measurement that would be part of the work.

Start a conversation
  • Technical SEO and crawlability
  • Useful content
  • Internal links
  • Consistent business information
  • Structured data that matches the page
  • Landing pages with a clear next step
  • Measurement

Common questions.

What is the difference between SEO, AEO, and GEO?

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SEO is the technical work that makes a site easier to crawl and understand in traditional search. AEO structures content so a direct question has a clear answer on the page. GEO uses the same foundations — useful content, links, consistent facts, and structured data — so a generative system has something specific to read.

Does SEO still matter in the AI search era?

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Yes. SEO remains the technical foundation for crawlability, content structure, metadata, internal links, performance, and local visibility. AEO and GEO extend that foundation into answer and retrieval systems.

What is Generative Engine Optimization?

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Generative Engine Optimization is technical SEO, useful content, internal links, consistent business information, structured data that matches the page, and measurement, so a generative system can read what the business does.

How does this work relate to AI answers?

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Clear pages, a crawlable structure, consistent facts, and structured data that matches the visible page give a system something specific to read.

What makes a page machine-readable?

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A machine-readable page can be crawled, uses clear headings, answers specific questions, keeps business facts consistent, links related pages, and uses structured data that matches what a person can read.

Why does schema matter for AI search?

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Appropriate structured data can describe the organization, service, and page that a person already sees. It is not a special AI schema, and it is not a separate requirement for Google AI features.

Can BTWA optimize WordPress, headless, and Next.js sites?

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Yes. BTWA works across WordPress, headless CMS architectures, and Next.js systems when the goal is clean technical structure, performance, tracking, and search-ready content.

What does the work include?

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Technical SEO, crawlability, useful content, internal links, consistent business information, structured data that matches the page, and measurement.

How does this connect to paid media and landing pages?

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Paid traffic still needs a page that explains the offer, converts the person, tracks events, and gives machines structured context. The same infrastructure supports both search and campaign performance.