Get cited by ChatGPT, Perplexity and Google AI Overviews.
“AI search optimization is the work of making your firm the source an answer engine quotes. It means pages that answer the question a client would ask, structured data that matches what is on the page, a policy that lets the engines read the site, and content that stays current under a named reviewer. It is also called generative engine optimization (GEO) or answer engine optimization (AEO).”
The client asks an engine first.
The question is no longer which page ranks. It is which firm the answer names. Three of the questions a professional-services buyer now types into an engine:
“Who can build a custom AI system for my law firm?”
“How do I get my firm recommended by ChatGPT?”
“Does my firm show up in Google AI Overviews?”
Providers who still write for keyword density are optimising for a reader that has stopped reading that way. The engines look for the sentence that answers, the entity behind it, and the structure that lets them trust both.
How the engines decide.
Entity
An engine has to know who you are before it can quote you: a named organisation with an address, the services it offers, the places it serves, all stated once in structured data that matches the page.
Citation
Engines quote sentences that answer a question directly and can stand alone. A page that opens with the answer, then explains, gets cited. A page that opens with a slogan does not.
Structure
Questions and answers in the open with FAQ schema, a sitemap and canonicals that agree, an llms.txt that says what the site is for, and a robots policy that lets each crawler in by name.
Delivery contract
What we ship.
In phases. Each item is built for machines and written for people, and each one lives in your repository when it is done.
You own everything the work produces, we operate it until handover, and what is measured is citations per engine, monthly.
- owner
- your team
- operator
- our team, until handover
- measure
- citations per engine, monthly
- promise
- the work, not a ranking
what an answer engine reads / Terms
You own everything the work produces, we operate it until handover, and what is measured is citations per engine, monthly.
- owner
- your team
- operator
- our team, until handover
- measure
- citations per engine, monthly
- promise
- the work, not a ranking
Answer-first pages
Each key page opens with a direct answer under its heading, written for the question a client asks, and carries one sentence built to be quoted.
Entity and FAQ schema
Organization, Service and FAQPage structured data that matches the visible copy word for word, because engines penalise the mismatch.
llms.txt and crawler policy
A plain-language index of the site for language models, and a robots policy that admits ChatGPT, Perplexity, Google, Copilot and Claude by name.
Review-first content pipeline
New pages and insights drafted by a model from your own sources, held for a named reviewer, published with a date. Nothing publishes itself.
First citation measurement
A baseline: which engines already cite you, for which questions, against which competitors.
Citation monitoring
A monthly check per engine, the share of answers that name you, and the pages that earned it. What changed and what to do next, in one page.
Read this page the way an engine does.
The ledger on the right is generated from the same objects that emit this page's structured data. View the source and compare. Then ask an engine yourself.
This page carries the entities it describes: a citable definition, seven questions with FAQ schema, a breadcrumb, a crawler policy and a canonical.
- citable
- “AI search optimization is the work of making your firm the source an answer engine quotes.”
- FAQPage
- 7 questions, answers visible below
- BreadcrumbList
- Home / Services / AI Search Optimization
- robots
- GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Bingbot, Googlebot: allow
- canonical
- /services/ai-search-optimization/
what an answer engine reads / WebPage
This page carries the entities it describes: a citable definition, seven questions with FAQ schema, a breadcrumb, a crawler policy and a canonical.
- citable
- “AI search optimization is the work of making your firm the source an answer engine quotes.”
- FAQPage
- 7 questions, answers visible below
- BreadcrumbList
- Home / Services / AI Search Optimization
- robots
- GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Bingbot, Googlebot: allow
- canonical
- /services/ai-search-optimization/
Measured monthly, honestly.
We measure three things: which engines cite you for which questions, the share of answers that name your firm, and what the site's enquiries do afterwards, from questionnaire to booked call. No traffic or ranking is promised.
Engines re-read pages on their own schedules, so movement is reported monthly, against the baseline taken on day one.
The first 30 days.
Week 1
Audit of the current site, the entity layer and the crawler policy. The first answer-first rewrites drafted.
Week 2
Structured data, llms.txt, sitemap and canonicals shipped. The review-first pipeline set up in your repository.
Week 3
Key pages rewritten answer-first and reviewed. The engines re-read pages on their own schedule from here.
Day 30
First measurement: citations per engine and per question, against a baseline taken on day one.
Questions, answered.
The same questions and answers are published as FAQPage schema, so what you read is what an engine reads.
What is AI search optimization?
AI search optimization (also called generative engine optimization, GEO, or answer engine optimization, AEO) is the work of making a site the source an AI answer engine quotes: pages that answer a question directly, structured data that matches the visible copy, a crawler policy that lets the engines in, and content that stays current under review.
Does it replace our SEO agency?
It replaces the part of the work that targets AI answers. Classical search still matters, and the technical groundwork (sitemaps, canonicals, fast pages) serves both. If your agency still writes for keyword density, that is the part that changes.
Which engines do you work on?
ChatGPT and its search, Perplexity, Google AI Overviews and AI Mode, Microsoft Copilot, and Claude. Each reads pages differently. The deliverables cover what they have in common and the crawler policy names each one.
Can you promise we will be cited?
No. No traffic or ranking is promised. What we promise is the work: the pages, the schema, the policy, the pipeline, and a monthly citation check per engine so you can see what changed.
What do you actually change on our site?
Each key page opens with a direct answer under its heading, carries visible questions and answers with FAQ schema, and publishes Organization and Service entities that match the page. The site gets an llms.txt, a robots policy that admits the AI crawlers, canonicals and a sitemap. New content goes through a review-first pipeline: drafted, held for a named reviewer, published with a date.
How long until we see anything?
The technical layer ships in the first two weeks. The first citation measurement is at day 30, and the engines re-read pages on their own schedules, so movement is measured monthly, not daily.
What do we own when it is done?
Everything: the pages, the schema, the pipeline scripts and the monitoring checks live in your repository, under your accounts.
Check your AI visibility
Tell us three questions a client might ask an engine.
We run them against ChatGPT, Perplexity and Google AI Overviews, note who gets named, read your site the way the engines do, and send you what we found. It is read first by our own AI intake, then by a person.
Built to be quoted.
Thirty minutes. Bring the questions your clients ask and leave with a straight answer about what it would take to be the firm the engines name.