Machina

AI Visibility · GEO / AEO

Get citedby AI.

The blue links are only half of search now. When someone asks ChatGPT, Perplexity, or Google's AI Overview a question in your market, we make sure the answer names you — quoted, cited, and linked.

The problem

Why ranking isn't the same as being cited

Classic SEO earns you a position in a list. It does not earn you a mention in the answer. Answer engines read the web differently than ten blue links ever did — and most sites give them nothing worth quoting.

You rank first and still get skipped

When an AI Overview answers the question outright, the click never happens — and being position one in the old index doesn't make you the source the model quotes. They're two different games, scored on different rules.

Machines can't lift your answer

Answer engines break pages into passages and rank them. If your answer is buried three scrolls down, wrapped in preamble, with no clear claim to extract, the model moves on to a competitor who front-loaded theirs.

The model doesn't know who you are

Without entity markup, a language model has to infer your identity from whatever surrounds your page — which is exactly how it confuses you with a competitor, garbles your services, or leaves you out of the answer entirely.

The system

How we make you quotable

Getting named by a language model is an engineering problem before it's a writing one. We make your business legible to the retrieval systems these engines run on, then hand them a clean answer worth citing.

Machine-readable facts

Structured data turns your pages from prose a model has to interpret into facts it can retrieve with confidence. Schema is the difference between an engine guessing about you and an engine quoting you.

Answer-first, extraction-ready

We restructure content so the answer leads: a clear claim up top, evidence beneath, a question-and-answer shape the retrieval layer can chunk cleanly. Written for the reader and the machine at once.

Authority the model trusts

Language models favor sources with visible expertise, outside corroboration, and recency. We build the E-E-A-T signals — author identity, citations, entity links, a freshness cadence — that decide whose passage gets pulled.

What's included

What an AI Visibility engagement includes

Six workstreams that move you from absent to cited across the engines your customers actually ask. Machina is one of the few agencies actively engineering for LLM citation, not just rankings.

AI Visibility audit

We run your highest-intent questions through ChatGPT, Perplexity, Gemini, and Google's AI Overviews and record exactly where you appear, where a competitor is cited instead, and what earned it.

Structured data engineering

Organization, Service, FAQPage, and Article schema built as the deterministic fact layer LLMs retrieve — not a rich-snippet checkbox bolted on at the end.

Entity & knowledge graph

We define who your business is with entity markup and sameAs links to Wikipedia, Wikidata, and other authorities, so engines resolve you to the right entity every time they answer.

Answer-first content

Priority pages rebuilt to front-load the answer in the claim-and-evidence shape retrieval systems reward — the format that gets a passage lifted and quoted rather than skipped.

llms.txt & crawler access

An llms.txt file and crawler configuration that tell AI systems which content to read and cite — the emerging standard for guiding how models access your site.

Citation monitoring

Ongoing tracking of where and how often you get named across the major answer engines, so AI visibility is a measured number — not a hopeful assumption.

How we work

Four steps, in sequence

We start by watching how the engines answer your market today, then engineer the signals that place you inside the answer — and keep watching.

01

Query & citation audit

We compile the questions your customers actually type into AI, run them through ChatGPT, Perplexity, Gemini, and Google's AI Overviews, and map who gets cited today — including which competitors, and what about their pages earned the mention.

02

Structure & schema

We deploy the structured data and entity markup that make your business legible to retrieval systems, then restructure priority pages into the answer-first, claim-and-evidence shape these engines pull from.

03

Authority & freshness

We build the E-E-A-T signals models weight — clear authorship, outside corroboration, sameAs entity links — and set a freshness cadence, because recently updated pages get cited far more often than stale ones.

04

Monitor & iterate

We track your citation share across the engines month over month, watch which prompts you win and lose, and keep refining the pages and schema that move you into more answers.

How we compare

An AI-visibility engagement vs. a typical SEO agency

Most agencies are still optimizing only for the ten blue links. Here is where an AI-visibility engagement diverges.

Typical SEO agencyMachina
Optimizes only for blue-link rankings — no AI-answer strategyOptimizes for the answer itself — citations in AI Overviews, ChatGPT, and Perplexity
Treats schema as a rich-snippet checkboxEngineers structured data as the fact layer language models retrieve
Leaves the model to guess who you areEntity markup with sameAs to Wikipedia and Wikidata, so engines resolve you correctly
Writes content for readers onlyAnswer-first structure built for machine extraction and readers both
Publishes once and forgetsA freshness cadence, because recent pages are cited far more often
Has never configured llms.txtllms.txt and AI-crawler access set up for how models read your site
Reports keyword rankingsTracks citation share across every major answer engine

FAQ

Questions we get every time

Ready to start

Be the answer AI gives

Start with a free AI Visibility Score. We'll show you where the engines cite you today, where they cite a competitor instead, and exactly what we'd build to change that.

No long-term contracts Free AI Visibility Score to start One of few agencies optimizing for LLM citation