SEO & AI optimization

Become the source AI engines quote.

Citable Claims is an example of an agent you can build in Sylvie: it turns your positioning and proof into the self-contained, attributable statements that ChatGPT, Perplexity and Google's AI Overviews actually lift and cite. It runs on your brand brain, so every claim, statistic and definition it writes is one your brand can truly stand behind, drawn from approved facts and real data, never an invented number that gets you burned. You assemble it once on your own context, so the sentences the engines quote point back to you as the source.

Example agentSEO & AI optimization

Sylvie does not ship this agent pre-built. It is an example of an agent your team can build with Sylvie, powered by your brand brain, so it runs your workflow the way you actually run it.

What it is

What is the Citable Claims agent?

Citable Claims is an example of what a marketing team can build on Sylvie: an agent that manufactures the quotable layer of your content, the crisp, sourced sentences an answer engine can extract whole and attribute to your brand. It writes self-contained claims, defensible statistics and clean definitions, the atomic units AI models reach for when they assemble an answer, and phrases them the way those models like to lift. It is not a keyword tool or a page rewriter; it is an agent your team configures against the one brand brain that holds what this brand can credibly assert.

Search is splitting in two: people still click blue links, but more of them now read an AI answer that names a handful of sources and moves on. If your brand is not one of those cited sources, you are invisible in that answer no matter how well you rank. An agent that turns your real proof into citable statements, and refuses to invent the ones you cannot back, is how a brand earns its place in the answer instead of watching a competitor get quoted.

How it works

How the Citable Claims agent works

Before it writes a claim, the agent reads the brand brain: the product facts and specs you can state, the proprietary data and results you are cleared to publish, the positioning you own, the claims legal has approved and the language your guidelines ban. That is what keeps every statement true and attributable, an on-the-record claim rather than a confident guess. For an agency, each client's brain is separate and permission-aware, so one brand's data and approved numbers never surface under another's name.

Then it runs end to end inside Sylvie: it finds the assertions your brand can uniquely and credibly make, phrases each as a self-contained, quotable statement with its source attached, shapes the definitions and stats for extraction, and can audit an existing page to flag the vague lines an engine will skip and the citable ones to add. Every claim traces back to the fact in the brain it came from, and each approval teaches the brain, so your library of citable proof compounds.

Key benefits

Why teams build this agent

01

Cited, not just ranked

The agent writes the self-contained statements answer engines lift, so your brand shows up as a named source in AI results, not only a link somewhere on page one. You win the surface where the click no longer happens.

02

Only claims you can back

Because every statement is drawn from approved facts and real data in the brain, the agent never invents a statistic a journalist or a customer can puncture. Quotable and defensible are the same thing here.

03

Proprietary data, made quotable

Your survey results, benchmarks and product numbers become clean, attributable claims built for extraction. The data you already own turns into the citations competitors cannot copy.

04

Own the definition

The agent writes the crisp category and term definitions engines reach for first, so your brand becomes the source that defines the space. Definitional authority compounds into citations across every related answer.

05

Audit what won't get cited

Point it at a live page and it flags the vague, unquotable lines an engine skips and proposes citable replacements. Existing content starts earning mentions without a full rewrite.

06

A proof library that compounds

Every approved claim lives in the brain and feeds the next page, campaign and answer. Your brand's citable proof grows into an asset instead of being rewritten from scratch each time.

Use cases

Where it goes to work

A few of the jobs a team builds this agent to handle, each claim written from the brand brain so it is quotable and true at once. The result is consistent: your brand becomes the source the AI answer names, backed by proof you can actually stand behind.

The category your competitor gets cited in

Ask ChatGPT or Perplexity about your space and a rival keeps getting quoted while you never appear. The agent turns your positioning and proof into citable claims across the pages that matter, so within a content cycle your brand starts surfacing as a named source in those answers.

The proprietary survey nobody quotes

You published original research but it reads as a PDF, not as quotable facts. The agent extracts the findings into self-contained, attributed statements built for engines and links, so the study starts getting cited as the industry reference instead of sitting unread.

Product pages the AI shopping answers skip

Buyers now ask an AI which product to choose and yours never gets mentioned. The agent writes citable, spec-backed claims about what your product uniquely does, drawn only from approved facts, so your brand enters the comparison answer with statements it can defend.

Owning the definition of a term

A term is central to your category and no one owns its definition. The agent writes the clean, quotable definition from your positioning, so when an engine explains the concept it reaches for your wording and cites you as the source.

The stats page as a citation magnet

You want a single page that becomes the go-to source of numbers for your space. The agent assembles it from the real data in the brain as a set of attributable claims, so writers and AI answers alike cite it, and the links and mentions accrue to you.

Making thought leadership extractable

A strong executive byline is full of ideas but nothing an engine can lift cleanly. The agent surfaces the quotable assertions inside it and sharpens them into citable claims, so the piece earns mentions in AI answers instead of only readers who already found it.

FAQ

Questions, answered

A general model will happily write you a confident statistic it made up, and it knows nothing about what your brand can actually claim. Citable Claims is an agent you build on your own brand brain, so every statement comes from approved facts and real data, and every one is attributable to you. It is not a cleverer prompt, it is an agent grounded in proof your brand can stand behind.

That is exactly what building it on the brain enforces. The agent writes only from the product facts, approved claims and real data living in Sylvie, and ties each statement back to its source, so it cannot fabricate a number to sound quotable. Citable and defensible are the same requirement here.

No. Sylvie assembles Citable Claims for you on top of the brand brain you already have, connected to where your facts and data live. You are not engineering a GEO tool, you are pointing an example agent at your own proof and shaping the kind of claims it writes.

The brain is a structured, permission-aware memory of your facts, data, positioning and approved language. The agent reads it before it writes, drafts each claim from what is cleared and true, and logs the source, so your library of citable proof and the agent both get sharper every time you approve a statement.

Always. Nothing publishes on its own; you review every claim, adjust the framing and decide what your brand will and will not assert, and you can shape a differently tuned version per client. Each approval teaches the brain, so the next batch of claims lands closer to how your brand talks about its proof.

Each brand brain is isolated, so one client's data and approved numbers never appear under another's name, and agents only ever reach what your connected tools already allow. Every claim is logged and sourced, you can review or remove anything, and nothing you feed it trains a foundation model.

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