AI Search Visibility
AI Search Visibility
Get cited by answer engines, not only crawled by search engines.
AI search visibility makes company and service facts clear enough to cite through server-readable pages, consistent entities, visible definitions and structured data tied to the same content.
SUB SERVICES
Work inside this line
AI Search Visibility contains 3 sub services: Technical foundation, Entity and structured data and Answer engine content. Deliverables: Schema implementation under Entity and structured data.
Technical foundation
Crawlability, rendering and information architecture, checked against what engines actually read.
Entity and structured data
One consistent entity across the site and its markup, so engines link the brand to the right things.
Answer engine content
Pages that answer a real question in a paragraph someone can quote.
HOW WE WORK
A bounded path into production
Above: what you hold after the stage. Below: what you supply.
Stage 1, Read the server output: you supply site access and the route list; you hold readability assessment. We inspect the HTML, routes, crawl controls and internal links available without browser scripts. Stage 2, Fix the entity record: you supply approved company facts; you hold entity register. Company, service and relationship facts are aligned across pages and markup. Stage 3, Write the definitions: you supply subject review of each page; you hold definitions for scoped pages. Each important page receives a self-contained explanation that can stand outside its layout. Stage 4, Generate the markup: you supply access to the content records; you hold generated structured data. Structured data comes from the same approved records as the visible page. Stage 5, Check the citation path: you supply search console access; you hold citation path report. We verify discoverability, hierarchy, source context and factual consistency.
01
Read the server output
We inspect the HTML, routes, crawl controls and internal links available without browser scripts.
You supply: Site access and the route list
You hold: Readability assessment
02
Fix the entity record
Company, service and relationship facts are aligned across pages and markup.
You supply: Approved company facts
You hold: Entity register
03
Write the definitions
Each important page receives a self-contained explanation that can stand outside its layout.
You supply: Subject review of each page
You hold: Definitions for scoped pages
04
Generate the markup
Structured data comes from the same approved records as the visible page.
You supply: Access to the content records
You hold: Generated structured data
05
Check the citation path
We verify discoverability, hierarchy, source context and factual consistency.
You supply: Search console access
You hold: Citation path report
WHAT YOU GET
Concrete items your team can hold
- Readability assessment
- Routes, server output, crawl controls and internal links documented.
- Entity register
- Approved names, identifiers, relationships and owners.
- Page content set
- Definitions and supporting facts for the selected pages.
- Schema register
- Generated markup, source fields and validation results.
See these items in a worked example of AI search visibility, written as method rather than a client story.
OUR STACK
Tools we use for this work
We inspect server HTML, crawl responses, sitemaps, canonical tags, structured data and the content records that feed them.
Implementation stays inside the site's current rendering and content system so visible facts and machine-readable facts share one source.
Where an existing stack is in place, we work inside it.
FAQ
AI search visibility questions
No. It should describe facts visitors can read on the page.
Make the important facts quotable
Bring the current site structure and approved company facts. We will identify the first readability and entity repairs.