Six systems our team designed and built, and what changed after.

The Problem

Inbound leads sat in a shared queue with no enrichment and no scoring. Reps checked the queue when they had time, so first touch was inconsistent, and leads got assigned to whoever picked them up rather than by fit or territory. Around a third landed with the wrong owner and had to be reassigned by hand.

What We Built

A system that catches every new lead the moment it comes in, enriches it with company and role data, scores it against our ideal customer profile, and routes it to the right owner automatically. High-intent leads get flagged so reps see them first.

What Changed

First touch moved from hours to minutes. Routing stopped being first come, first served, and misrouted leads dropped sharply. Reps stopped spending time sorting leads and started spending it talking to the right ones.

The Problem

Pages that used to rank well were quietly losing traffic, and nobody noticed until a quarter later, because the only check was a manual pull of Search Console data every few months. By the time anyone caught it, the window to fix it had narrowed and the traffic was already gone.

What We Built

A weekly check that flags any page losing position or clicks beyond a set threshold, ranks those pages by how much traffic is at stake, and points to a likely fix for each one, whether that's a content refresh, better internal links, or a technical issue.

What Changed

Decay is now caught within a week instead of a quarter. The team stopped guessing which pages needed attention and started working from a ranked list with a clear next step on each one.

The Problem

Reps followed up with inbound leads when they had time, so most leads got one message and then went cold. There was no consistent sequence, and the leads that needed a second or third nudge usually didn't get one.

What We Built

A follow-up system that sends personalized messages based on how each lead is behaving, stops the moment a lead replies or books a meeting, and hands high-intent leads to a rep in real time instead of waiting for the next scheduled step.

What Changed

Leads went from a single touch to a full sequence without any extra rep time. Meetings booked from inbound leads went up, and reps only stepped in once a lead showed real interest, so their time went to conversations worth having.

The Problem

Weekly reporting meant pulling numbers by hand from three different tools, reconciling them, and writing up a summary. It took the better part of a day, and by the time leadership saw the numbers, they were already a week old.

What We Built

A pipeline that pulls the numbers on a schedule, reconciles them automatically, and delivers a standing report on the same day each week, with anything unusual flagged instead of buried in a spreadsheet.

What Changed

Manual assembly dropped to almost nothing. Leadership went from reviewing week-old numbers to same-day visibility, and the time that used to go into building the report went into acting on it instead.

The Problem

Competitor content moves were tracked by memory and the odd manual check. Nobody could say with confidence which competitors were gaining ground, on what topics, or why, so the team only reacted after noticing a competitor ranking somewhere new.

What We Built

A system that tracks competitor content performance on a schedule, works out who's actually gaining momentum rather than just where things rank today, and explains what changed and why in plain language, delivered as a standing report.

What Changed

The team went from noticing competitor moves after the fact to getting a standing, explained view of who's gaining ground and why. The explanation was the difference. It read like analysis, not a spreadsheet of numbers nobody had time to interpret.

The Problem

Pages that already ranked well on Google were still invisible in AI search, and there was no reliable way to tell why. Closing that gap meant guessing, not measuring.

What We Built

A tool that audits a page already ranking near the top of Google and identifies exactly which sub-topics it needs to cover to show up when AI engines answer related questions, ranked by how much each gap is likely holding the page back.

What Changed

The question "why isn't this page showing up in AI answers" turned into a specific, closeable list instead of a guess. Because the tool only runs on pages already ranking near the top of Google, every gap it finds is the actual distance between ranking in traditional search and getting cited in AI search.