Fact Density Audit is an example of an agent your team can build in Sylvie: it reads a page sentence by sentence, scores how much verifiable information it actually carries, and flags every line that is adjective, hedge or filler. It runs on your brand brain, so it does not just delete the fluff, it names the real specs, numbers, dates and approved claims that should stand there instead. Nothing arrives pre-built: you assemble this agent once on your own context, and it audits against what your brand can genuinely prove.
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.
Fact Density Audit is an agent you assemble inside Sylvie, not a tool you subscribe to. Point it at a URL, a draft or a whole content library and it measures fact density: how much of each passage carries checkable information (a number, a spec, a date, a named entity, a source, a result) versus how much is confident-sounding air. It returns a score per page and a line-level map of where the substance runs out.
This matters more than it did two years ago. Search engines and the AI systems that summarize them reward passages that answer something concretely and skip the ones padded with "leading", "innovative" and "seamlessly". For an agency, low fact density is also the quiet reason a client's content underperforms while looking perfectly professional, and the reason the same page needs rewriting every six months.
Before it scores anything, the agent reads the brand brain: the product specs and technical facts, the proprietary data and benchmarks, the case study outcomes with real numbers, the claims legal has cleared and the words your guidelines ban. That is what makes the audit actionable rather than a red pen, because it knows which facts this brand actually holds and can name what belongs in place of a vague sentence. Each client's brain stays separate and permission-aware, so one brand's numbers never appear inside another's audit.
Then it runs end to end inside Sylvie: it parses the page, scores density per section, flags the filler lines and hedges, marks assertions with nothing behind them, and drafts denser replacements pulled from the brain with the source attached. You get a prioritized fix list instead of a wall of comments, and every rewrite you approve teaches the brain, so the next audit and the next first draft both start denser.
Fact density becomes a number per page and per section, so "this reads thin" turns into evidence a writer or a client can act on. The argument about tone ends and the fix list begins.
Because it audits against your brand brain, it does not simply cut a weak sentence, it proposes the spec, benchmark or customer result that should replace it. The proof was already in the account, just unused.
Every "helps improve", "industry-leading" and "various solutions" gets marked with a concrete alternative beside it. The copy stops sounding like everyone else's.
Any assertion with nothing behind it is flagged before the page goes live, so a client or a journalist never finds it first. Risky lines get sourced or cut while that is still cheap.
Point it at two hundred URLs and it ranks them by how much substance they are missing, so you fix the pages where density gains actually move rankings. A month of manual review compresses into an afternoon.
Every approved rewrite and every new fact lands back in the brain, so the next brief starts from a denser baseline. Writers stop padding because the substance is already at hand.
Here is where SEO and content teams point a Fact Density Audit once it is built on the brand brain. Each one turns a vague quality problem into a specific, sourced fix.
A key commercial page has sat below the fold for a year and nobody can say why. The agent scores it at a fraction of the density of the three pages above it, marks the eleven filler sentences and supplies the specs and results that replace them. The rewritten page starts climbing after the next re-crawl instead of waiting on another link push.
You take over an account with four hundred blog posts of unknown quality. The agent audits the whole library in one pass, ranks every URL by missing substance and hands you a prioritized rewrite plan in week one, so the promise you made in the pitch has a roadmap behind it instead of a hunch.
The team is shipping faster with AI-assisted drafts, but the pages are fluent and empty. The agent runs on every draft before publish, flags the confident sentences with no fact inside them and swaps in real product detail from the brain, so the speed gain stops costing you substance.
A product page states a performance number that no one on the team can trace. The agent flags it as unsourced, checks it against what the brand brain actually holds, and either attaches the real source or replaces it with a claim you can defend, before legal or a competitor raises it.
A client is quoted by nobody when buyers ask an AI engine about the category. The agent shows the pages are too thin to extract anything from, densifies them with specs, data and named entities, and those pages become quotable enough to start being picked up as sources.
A CMO asks why they should keep paying for content. The agent produces a before and after density read across the pages you reworked, with the facts added and their sources listed, so the review shows measurable improvement instead of traffic screenshots you cannot fully attribute.
No engine publishes a "fact density" metric and we will not pretend otherwise. What is true is that search engines and the AI systems summarizing them extract and reward passages carrying concrete, checkable information, and skip padding. This agent gives your team a consistent way to measure and fix that, grounded in the facts your brand brain actually holds, so you improve the thing that gets rewarded instead of chasing a vanity score.
Those score you against competitor pages and term coverage, which is useful, but their advice is to mention something more often. This agent is built on your brand brain, so it can say which specific spec, benchmark or customer result belongs in the sentence that is currently empty. Keep the tools you optimize with; what changes is that every fix arrives with your own proof attached.
No. Sylvie assembles it on the brand brain you already have, connected to wherever your product facts, research and approved claims live. You are configuring an example agent to your standards, deciding what counts as filler for each client, not engineering an SEO tool from scratch.
Then the audit is more useful, not less: it shows exactly which facts are missing and worth gathering. Most teams find the proof does exist but is scattered across decks, spec sheets and old case studies, and the first audit is what pulls it into the brain. From then on every page you write can reach it.
It tends to do the opposite. The agent reads the tone rules in the brain and only touches lines that carry no information, so the voice stays and the vagueness goes. You review every suggestion, and each edit you approve teaches the brain where that brand's line between style and filler actually sits.
You build it once and run it on each client's own brand brain, so every account is audited against its own facts, claims and tone, with strict isolation so no brand's numbers or research surface under another's name. One agent, one standard, twenty separate sets of proof.
Book a demo and we will map the workflows worth turning into agents, and show how each one runs on your brand brain.
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