How Monk Built A Working SEO Engine In Two Months

CLIENT

Monk

PROJECTS

SEO Audit, Technical SEO, On-Page SEO, Content Strategy, Reddit Marketing, Backlinks

DATE

May 28, 2026

LOCATION

United States

Client Overview

Monk is the AR automation platform that helps ambitious founders and finance teams accelerate cash on hand through intelligent collections, automated invoice generation, and AI native cash application, with native integrations into Stripe, HubSpot, QuickBooks, NetSuite, and Salesforce. The product handles the most complex contracts, sends invoices on time, and delivers a more than 40 percent average reduction in DSO for customers across the portfolio. Operating from New York and backed by recent venture funding, the team is scaling the platform across finance and revenue operations teams who are done with spreadsheets, manual chasing, and point solutions. The product was strong and the GTM was working, but the search and AI discovery surface was thin enough to leave real demand on the table when CrawlCrest came in.

Problem

Monk had a sharp brand and a viable category, but the SEO surface was underbuilt for a company at this growth stage. Schema markup was missing across the key page types, which meant AI engines could not parse the platform's actual capabilities cleanly when deciding who to cite inside answer boxes. Technical SEO was weak. Indexation hygiene, page speed signals, and structured data coverage were not in the shape that competitive AR automation searches require, leaving traffic on the table even for queries Monk was qualified to win. Content was thin. The blog had volume but not the topical depth and structural quality that AI Overviews and ChatGPT actually extract from. Backlinks were limited, with very few editorial mentions from the finance and SaaS publications that buyers reference before they open a sales conversation.

We ran this as a tight two month sprint focused on shipping a working foundation rather than incremental optimizations on broken infrastructure.

Run A Full SEO Audit

We started with a complete audit across technical SEO, on page elements, schema, content depth, link graph, and AI visibility. Every issue was triaged into a prioritized backlog with a clear owner and a clear path to fix, so the team always knew what was shipping each week and why it mattered for the AR automation buyer.

Resolve Technical And On Page Issues

We cleared the technical debt first. Indexation strategy was tightened, the missing schema markup was implemented across product, blog, and customer story templates so AI engines could extract Monk's offer cleanly, and on page elements across titles, H1s, meta descriptions, and internal linking were rewritten against actual buyer intent rather than placeholder copy.

Set Content Quality Guidelines

Rather than replacing the in house writing team, we gave them a clear playbook. Topic clusters, blog quality and structure guidelines, citation friendly formatting, internal linking maps, and the on page patterns that AI Overviews and ChatGPT actually extract from. The blog now compounds rather than scatters, and every new piece supports the commercial pages.

Run Reddit Marketing And Build Backlinks

We ran a sustained Reddit marketing program inside the finance, operations, and SaaS subreddits where Monk's actual buyers hang out, building brand mentions that compound inside AI Overviews and ChatGPT answers. In parallel, we built quality backlinks from publications and SaaS roundups aligned with the AR automation buyer audience, with each placement on a topical match rather than a generic mention.

Results

In just two months, the metrics moved across every dimension we set out to influence. Branded clicks rose by 60 to 70 percent as the brand became consistently discoverable across Google and the AI answer engines. Domain Rating climbed by more than 30 percent in the same window, and referring domains grew by over 60 percent. The live backlink count nearly tripled. The shift was qualitative as much as quantitative. Monk now shows up in AI Overviews and ChatGPT answers for category defining queries around AR automation, accounts receivable, and intelligent collections. The technical foundation, the content guidelines, and the authority flywheel are in place, with every metric continuing to push further into compounding territory.