Selected engagements.

A new consumer brand entering a crowded market, competing against operators with far larger budgets and established demand.

We built and ran the growth engine around organic demand rather than paid media: positioning, search visibility, reputation and a conversion path engineered to turn attention into bookings.

The company scaled from zero to $14M in annual revenue while paid advertising remained a negligible share of acquisition.

The year before we arrived, the company spent $30,000 on Google Ads with almost no sales to show for it. Budget was leaking into the wrong searches, including people looking for competitors’ customer service lines.

We rebuilt the account from the ground up: buyer-intent keyword architecture, strict negative-keyword controls, campaigns segmented by brand, residential and commercial, and conversion tracking tied to closed revenue rather than clicks. Weekly and monthly reporting now builds itself from the ad data.

Within six months, $6,510 in ad spend generated $358,632 in sales: a 55× return on ad spend from an account that had been losing money.

A company with real estate, construction, debt reduction and life insurance divisions was running on three separate CRMs and a spreadsheet. Agents re-entered the same customer information in multiple places, leadership had no single view of the business, and customers moving between divisions were served from incomplete records.

Phase one consolidated every division into a single CRM: one customer record, a pipeline for each division, and shared history across all four. Phase two deployed AI inside that CRM, bringing each customer’s full picture into one place so the team no longer moves between systems or tabs to find what they need.

Full transparency and visibility across the business, far less time lost to duplicated data entry, and more consistent customer support in every division. The team now spends its time on customer engagement rather than system navigation.

Growth depended on referrals and a handful of rankings, with no visibility in the AI answer engines buyers increasingly use.

An AI publishing pipeline producing location pages, commercial-property pages and pricing content in batches, with schema and internal linking that direct authority to the pages that sell.

An owned acquisition channel that compounds every month, visible in Google, AI Overviews and ChatGPT-style search, without adding marketing headcount.

A library of 900+ videos held the answers, but followers couldn’t find them and the educator couldn’t answer everyone personally.

A retrieval-based AI assistant trained on the full YouTube library, with caching so repeat questions cost almost nothing to answer.

Followers get accurate, on-brand answers 24/7 for a few dollars a day in running cost.

High lead volume across two languages, with agents spending their time on first-touch conversations that rarely converted.

Lead-generation sites plus an AI assistant that qualifies in English or Spanish and routes leads into a GoHighLevel pipeline with follow-up sequences.

Agents speak only to qualified buyers; the first touch is handled automatically.

Producing daily social content and weekly SEO articles for dozens of brands would normally require a large content team.

Specialized AI agents for scripting, captions, editing, imagery and brand voice, orchestrated into one pipeline with human review where it matters.

Daily output for every brand without adding headcount.