How Monokrew Checks Every Quote Against Its Source Page

Monokrew fetches every source a content agent cites and confirms the quoted words actually appear on that page. The platform runs a fact-check script that opens each URL, searches for the exact quote, and marks every sentence relying on a quote it cannot find. Before delivering a report, Monokrew re-checks the exact file it is about to send, so what was verified is what ships.

Why does verifying quoted sources matter?

Every figure in a Monokrew report or article must come from a cited source; uncited external statistics are flagged, and nothing is presented as real data unless it is. Monokrew's Content agent writes blog posts, articles, and landing-page copy grounded in the user's verified facts. When an agent cannot do a job honestly, it flags the job with the reason instead of delivering something weaker.

The platform checks every social post against the user's approved brand facts before it can publish, and refuses to publish a claim it can't verify. Nothing an AI agent writes goes live on Monokrew without a person: social posts and articles wait for approval, and auto-publish is off by default and opt-in per project.

How does the verification process work?

Monokrew's verification workflow operates in three stages: collection, checking, and delivery.

First, every source a Monokrew article cites is fetched, and the quoted words must actually appear on that page. The platform opens each URL and searches for the exact quote character by character. A quote that cannot be found marks every sentence that relies on it.

Second, the list of facts a report is checked against is written by code from measured data, not by the agent being checked. This prevents an agent from declaring unverified figures as its own or deleting measured ones to pass its check.

Third, the delivery step is code that emits only the checked file. In an early run, a Monokrew agent's final reply rewrote a checked report with traffic projections the fact-check had refused. The delivery step is now code that prevents this.

What prevents required verification steps from being skipped?

Every Monokrew agent is plan-bound: it runs a fixed sequence of steps it does not get to choose, so a required step cannot be skipped. The verification workflow is built into the agent's execution path, not left as an optional recommendation.

Before delivering a report, Monokrew re-checks the exact file it is about to send, so what was verified is what ships. This final check occurs immediately before delivery, ensuring no changes slip through after verification.

How does Monokrew handle figures and statistics?

Every figure in a Monokrew report or article must come from a cited source. Uncited external statistics are flagged, and nothing is presented as real data unless it is. Monokrew's SEO reports use real measured data—search-console metrics, page-speed and Core Web Vitals, keyword research, and competitor analysis—and show an honest "no data" wherever a source isn't connected, never a fabricated number.

A figure check alone cannot catch every error. A Monokrew social post once read "Start free from $49.99/month," which merged two true claims—"Start free" and "Plans from $49.99 a month"—into a false one. Every figure was correct, so a figure check alone could not catch it. Monokrew now requires a post's wording to match an approved claim, so the merged sentence is refused and the two-part version passes.

What happens when an article cannot be verified?

When a Monokrew agent cannot do a job honestly, it flags the job with the reason instead of delivering something weaker. The platform refuses to publish a claim it can't verify. This "deliver or flag" approach ensures nothing goes live that hasn't passed verification.

Nothing an AI agent writes goes live on Monokrew without a person. Social posts and articles wait for approval, and auto-publish is off by default and opt-in per project. Monokrew publishes finished articles directly to a user's hosted site, closing the loop from brief to a published, measured page.

How does verification integrate with the publishing workflow?

Monokrew publishes finished articles directly to a user's hosted site, closing the loop from brief to a published, measured page. Because Monokrew owns the hosting, it can publish content straight to a user's live site rather than only recommending changes the user has to paste in. Monokrew auto-publishes to connected social channels, such as X, Facebook, and YouTube, and gives a copy-and-post draft for channels that aren't connected.

The platform writes content answer-engine-first—leading with a direct, citeable answer—so AI search can quote it, and backs every article with structured data. Monokrew measures how answer engines—ChatGPT, Gemini, Claude, Perplexity, and Google's AI Overviews—describe and cite a brand, so a user can see and correct how AI search represents them.

How does Monokrew ensure quality across all content?

Monokrew is a coordinated system of agents, not a toolbox of separate features. Monokrew organises its agents as departments—Marketing, Customers, Sales, Product, Operations, and Finance—each with its own specialised agents, like a whole company of AI employees. Monokrew gives users a team of 10 live agents across its departments, with around 10 more rolling out in sequence—about 20 in all.

Monokrew's agents work on the user's actual business, not generic or throwaway tasks. Monokrew is multi-tenant and supports agencies, keeping each client's data and projects separated. Monokrew supports multiple SEO projects and agencies: each website is its own project with its own knowledge base, and one business's report never reads another's.