//.ai_workflows
Run at scale, measured every month.
The work that wins recommendation is repeatable. So we automate it.
Start free. No commitment.
User prompt: “Is Harbourview Wealth still a good shout this year?”
★ TRACKED MONTHLY, COMPOUNDING
Recommendation isn't a project. It's a standing capability.
Harvesting questions, building entities, producing citable passages, mining citation sources, re-measuring every engine — done by hand, it doesn't scale and it doesn't compound. Automated, it runs every month without burning your team, and every month of it deepens a record only you hold.
How we work
Automate the repeatable
n8n-driven AI workflows run the recurring GEO and SEO work — harvesting questions, building entities, feeding your data — so the engine keeps producing.Track the one number
Share of voice across the engines, measured every month, so you can watch the only metric that matters: how often you're the answer.Build the data moat
Every month of measurement and content becomes a first-party record in your own database — the asset that compounds and a rival can't copy.
What you get
Running AI workflows
The repeatable work automated and maintained — producing without burning your team's time.
Monthly share-of-voice
Your visibility across seven engines, tracked and reported every month, reproducible and dated.
A first-party data record
Your own citation and content history, in your own database — the moat that deepens every month.
The work, in order
Map the repeatable work
Which steps recur every month — and which can be automated without losing the human judgement that matters.Build the workflows
Automations that harvest, build and feed the engine, wired to your data and your rules.Measure and report
A monthly sweep across seven engines, surfaced as one number and a clear before/after.Compound the record
Bank every month into your first-party data — the asset that makes next month cheaper and stronger.
Automate → Measure → Compound
Scale comes from three moves: automate the repeatable work, measure it honestly, and bank the data so it compounds.
Automate
AI workflows run the repeatable GEO and SEO work, every month.
Measure
Share of voice across seven engines, tracked and reproducible.
Compound
A first-party data record only you hold, deepening month on month.
How we’re different
| Dimension | Avouch | Typical agency or tool |
|---|---|---|
| The work | Automated and repeatable, at scale | Done by hand, capped by hours |
| The metric | Share of voice — how often you're the answer | Traffic and rankings |
| The data | First-party, owned, compounding | Locked inside a vendor's tool |
Powered by the Citation Intelligence Platform.
The platform is where the measurement lives and the data compounds — a declared, versioned prompt universe run across seven engines, every month, banked to your own record.
See the platform →The compounding layer of the retainer — what turns a year of work into an asset that's yours.
Workflows questions
- Does “automated” mean low quality?
- No. We automate the repeatable plumbing — harvesting, building, feeding, measuring — so the human time goes into judgement and the work that genuinely needs it. Nothing ships that hasn't cleared your rules.
- What is the “data moat”?
- Your own citation and content record, in your own database, deepening every month. It's first-party and specific to you, so a competitor can't copy it — and it makes each month's work cheaper and sharper than the last.
- What's the one number you track?
- Share of voice across the engines — how often you're the answer your buyers get. It's measured the same way every month, so the trend is real, not a moving goalpost.
AI can't recommend what it doesn't know.
Start free. No commitment.