Modern marketing leadership. Built to scale, built to execute.
15+ years of B2B SaaS marketing across demand generation, content, positioning, and product-led growth.
Everyone wants to bring AI products to market. I have done it twice, for different companies in different markets.
Brands I've helped grow
What I do
Five things I bring to a marketing org.
- Turn one off
Together183
In isolation144
Compounding lift+27%
One buying question, asked the way people actually ask it on four different surfaces. Organic search, paid search, an LLM chat, and a Reddit thread. Implicit surfaces on all four. The share of signups each surface drove is from the Implicit case study.
ai knowledge base for support teams
implicit.cloud
Your AI Knowledge Engine for Maintenance and Support
Give an agent an answer they can trace back to a source, so the same question stops coming back.
22% of Implicit signups came from organic search.
zendesk ai knowledge base
Sponsoredimplicit.cloud
AI Knowledge Base for Zendesk
Answers your agents can trust, drawn from the knowledge your team already wrote.
27% of Implicit signups came from paid search.
our support agents keep re-answering the same product questions, what actually fixes that
Most teams solve this with a retrieval layer over the knowledge they already have, so an agent gets a sourced answer instead of another search box. The tools worth shortlisting cite where every answer came from.
Sources
23% of Implicit signups came from LLM answer engines.
ai knowledge base for support reddit
reddit.com › r/CustomerSuccess
Anyone using AI for internal support docs?
Implicit comes up in the replies as one of the options.
13% of Implicit signups came from Reddit.
Same buying question, asked four ways. See the Implicit case study
Four questions that decide whether a product-led motion can carry growth or whether it needs a sales-led one. Whether the product is useful to one person on day one, whether it can be bought on a card, whether buyers already know the category, and whether one user pulls in a team. Set to Implicit the answer is product-led, set to ConstructConnect it is both motions at once, and set to CEI Clairvoyance it is sales-led.
Product-led.
This is a true product-led motion. People find the product, try it, and start paying without talking to sales. It works when someone gets real value alone on day one and can expense it without a procurement review.
That’s Implicit. 2,500 signups in six months, from zero.
How the work splits between playing and coaching as a marketing team grows from one person to twelve. Copy, pages, campaigns, and reporting hand off as there are people to hand them to. Reading the numbers, picking what is worth building, and positioning stay hands on at every team size, so the player share falls but never reaches zero.
- Writing the copyThe team
- Building the pagesThe team
- Running the campaignsThe team
- The reporting stackThe team
- Reading the numbers myselfMe
- Picking what’s worth buildingMe
- Positioning and the storyMe
The player share falls as the team grows and never reaches zero. Staying close to the work is how you know what’s working and what isn’t.
Two AI products taken to market, each shown as what the company was selling before and what a buyer could purchase after. At Implicit, a pre-revenue AI-native startup, GraphRAG infrastructure sold to data science teams became an AI knowledge engine for maintenance and support teams, and qualified leads went from one a quarter to over a thousand. At CEI, a mid-size tech and AI services firm, an AI delivery capability that no client could buy became CEI Clairvoyance, a named and purchasable practice, taking AI project pipeline from nothing to millions.
-
Implicit Pre-revenue AI-native startup
GraphRAG infrastructure, sold to data science teams
Leads per quarter1
An AI knowledge engine for maintenance and support teams
Leads per quarter1,000+
-
CEI Mid-size tech and AI services firm
AI delivery capability, nothing a client can buy
Pipeline$0
CEI Clairvoyance, a named and purchasable practice
Pipeline$Millions
The technology was never the hard part. Making it something a buyer could understand and purchase was.
Right now
Every company is being asked to turn what it sells into an AI product.
Most teams are getting this assignment for the first time.
The technology is rarely the hard part.
-
01
Positioning
Something buyers have no reference point for.
-
02
Packaging
Turning it into something they can actually understand and purchase.
-
03
Demand
For a category that may not have a name yet.
I have done that twice, at two companies that could not have been more different.
The work
The track record across brand and demand.
Click to take a closer look at five projects and the results each one produced. Three of these projects successfully brought AI products to market in an extremely crowded and fast-evolving marketplace. The others highlight compounding organic demand and conversion optimization.
$5.5MM+
ARR generated by rebuilding the conversion path from first touch to trial signup.
ConstructConnect Conversion Optimization
B2B SaaS Read the case study2,500
users in six months, from zero
Implicit Product-Led Growth from Zero
Built the go-to-market motion at a pre-revenue company, across answer engines, organic search, paid, and community.
AI-Native StartupMillions
in AI project pipeline
CEI Clairvoyance AI Productization
Turned an AI capability into a named practice a client could buy, then took it to market across brand, web, delivery, and content.
Tech/AI Services Firm47%
organic traffic growth year over year
SEO and Content Marketing Growth
Built an ICP-led content engine across five service pillars, taking Page 1 rankings from 103 to 205 keywords.
Tech/AI Services Firm Brand and positioningRepositioning Agolo as Implicit
Renamed the company and moved it off selling GraphRAG infrastructure. Qualified leads went from one a quarter to 1,133.
AI-Native Startup Read the case study- AI Claude, Claude Code, Claude Cowork, Claude Design, ChatGPT, Codex
- AI app builders Lovable, Bolt, Replit
- CRM and marketing ops HubSpot, Salesforce, Marketo
- Website builders Webflow, Squarespace, WordPress
- SEO and paid GA4, Google Ads, SEM Rush
- Product analytics PostHog, Amplitude
- Dev and deploy GitHub, Vercel, Netlify
- Design Canva, Figma
The stack
Fluent in the modern stack.
These are the tools I work in day to day. I direct strategy and still execute regularly as needed.
Tim is scary smart and has strong hands-on technical skills. I’ve seen him build marketing campaigns from soup to nuts. He genuinely cares about the customers, and the people on his team. He’s a natural leader.
Where to next
See how this comes together.
More detail on how this comes together.
See The WorkAlso open to fractional and advisory work, if that's a fit.
Fractional CMO