We tell you what is actually wrong.
Then we fix it, or hand you the list.
Opinions with receipts.
Every recommendation comes with the evidence, the cost, and what happens if you do nothing.
Four things we consult on
Each one ends in a document you can act on without us.
That is on purpose.
If we think a thing is not worth paying for, we say so. Some of those things are ours.
Stack audit
Two weeks. We read the code, the hosting or cloud environment, the plugins, the analytics, the CRM, and the workflows people actually follow. Then we write down what is slow, fragile, or expensive, in the order we would fix it, with the cost of fixing and the cost of leaving it. Credited in full against any build work you hire us for.
Deliverable: a written findings document, a prioritized list, and a one-hour walkthrough.
"It looks like you're trying to use AI."
AI training for marketing and operations teams
Clippy meant well. We do better: half-day and two-day working sessions on your team's real tasks, on site or remote. People leave with prompts and workflows that hold up on Monday, a clear line on what stays inside your data policy, and a short list of things not to automate.
Deliverable: a team playbook, a data-policy one-pager, and a follow-up session 30 days later.
"You've got mail." On purpose, this time.
Automated digital marketing
Lifecycle and onboarding email, lead scoring and routing, CRM hygiene, review requests, abandoned-cart recovery, and reporting that runs without anyone touching it. Built on the CRM you already have, usually HubSpot or Salesforce, and documented so your team can change it without calling us.
Deliverable: working automations, a workflow map, and the documentation to change them.
Search and answer-engine readiness
SEO fundamentals plus getting cited by ChatGPT, Perplexity, and Google's AI answers. We audit structure, freshness, and sourcing, fix the shape of the content, and tell you which parts of "AI optimization" are not worth paying for. Some of them are ours; we will still tell you.
Deliverable: a readiness report, fixed page templates and schema, and a content-shape guide for your writers.
What two weeks of audit actually looks like
Not a discovery call.
A reading.
Days 1 to 3
Access, inventory, and the question we ask everyone: what breaks most, and what does it cost when it does?
Days 4 to 8
We read the code, the infrastructure, the plugin and app list, the analytics, and the CRM. We measure instead of guessing.
Days 9 to 12
Findings drafted, ranked by cost and risk. Each one has evidence, a fix, an estimate, and what happens if you leave it.
Days 13 to 14
A one-hour walkthrough with your team. You keep the document. The fee is credited if you hire us for the work.
Questions about consulting
What is in a stack audit?
Two weeks of reading: the code, the hosting or cloud environment, the plugins and apps, the analytics setup, the CRM, and the workflows people actually follow. It ends in a written list of what is slow, fragile, or expensive, ordered by what we would fix first, with the cost of fixing it and the cost of leaving it. The fee is credited in full against any build work you hire us for.
What does AI training for a marketing or operations team look like?
A half-day or two-day working session, on site or remote, using your team's actual work. People leave with prompts and workflows that hold up on Monday, a clear line on what stays inside your data policy, and a short list of things not to automate. No slideware about the future of work.
What is automated digital marketing?
Marketing that runs without a person clicking Send: lifecycle and onboarding email, lead scoring and routing, CRM hygiene, review requests, abandoned-cart recovery, and reporting. FusionPig builds it on the CRM you already have, usually HubSpot or Salesforce, and documents every workflow so it can be changed without calling us.
Can you help us show up in ChatGPT, Perplexity, and Google AI answers?
Yes, and we will be honest about what moves the needle. Being cited by AI answer engines depends mostly on the same things that earn search rankings: clear page structure, fresh and accurate content, and credible sourcing. Schema and llms.txt help machines read a site but do not guarantee citations. We audit for readiness, fix the content shape, and say plainly which parts are not worth paying for.
Start with the audit
Two weeks, one document, and the fee comes off the top of whatever comes next.