Services

AI services built for real outcomes.

AI is not a feature — it's the foundation. We deliver AI systems that reduce costs, improve efficiency, and unlock growth. From strategy to production — everything we build is designed for measurable impact, compliance, and scale.

Advisory to productionPrivate · GovernedMeasured on outcomes

What we do

Five ways we work with you.

01

A private AI agent trained on your data, running on your rules. Deployed on Greenleaf's private infrastructure, built around your data, and running under your governance — so answers are instantly accessible, trustworthy, and traceable.

  • Grounded in your sources
  • Citations on every answer
  • Private, governed deployment
02

A platform that measures your AI brand visibility — benchmarking how the major AI models talk about you versus competitors — with an expert team that executes the plan to improve your metrics.

  • Visibility benchmarking
  • Expert execution plan
  • A Greenleaf product
03

We assess your AI readiness, workflows, and systems to find high-impact opportunities. Our focus is simple: real efficiency gains, lower costs, and sustainable growth — not theory.

  • AI readiness audit
  • Use-case prioritisation by ROI
  • Defensible cost model
04

We build and improve your data foundation — pipelines, storage, and governance — so your AI systems have clean, reliable data to work from.

  • Pipelines & warehouses
  • Governance & quality controls
  • Built for cloud-scale
05

We design and build AI products — from early prototypes to full platforms. This includes agents, copilots, and multimodal applications, all optimised for real use. We also build the wider technology stack around them: websites, apps, LMS, CRM, and custom platforms.

  • Copilots & agents
  • Apps, websites, platforms
  • Production-grade from launch
06

We provide AI, data, and engineering talent that works directly with your team. Flexible, scalable, and built to support your delivery.

  • AI & ML engineers
  • Data engineers
  • Product engineering

Spotlight · AI Brand Visibility (GEO)

When someone asks AI about your category, does your name come up?

Search is moving into the answer itself. Buyers ask ChatGPT, Claude, Gemini and Perplexity who they should be talking to, and act on what those models say. Generative Engine Optimization — GEO — is the discipline of moving those answers. We built the platform that measures it and we run the team that does the work.

900M+

people use ChatGPT every week

Source: OpenAI, February 2026

68%

of U.S. Google searches now end without a single click

Source: SparkToro · Similarweb, June 2026

~20%

of Google searches now carry an AI Overview

Source: Similarweb, 2026

Visibility Score

How often your brand appears in the AI's answer — measured every single day.

Share of Voice

Your share of mentions against every competitor, question by question.

Citation Sources

The exact domains the models read before they answer — so you know where to act.

30 questions × 4 engines × 30 days = roughly 3,600 AI answers sampled per brand, every month.

Asked nationally

best solar installers

0.0%

Ranked last of eleven

Asked in its own city

best solar installers near me

23.3%

Second overall

A regional solar company, measured across 480 real AI answers. Same business, same day. The only thing that changed was the location in the question.

The platform

  • Your brand tracked across ChatGPT, Claude, Gemini and Perplexity
  • 30–60 real questions your buyers ask, measured every day
  • Visibility Score and Share of Voice against your real competitive set
  • Citation sources and competitor movement
  • Alerts when your visibility drops
  • Dashboard and reporting included — no separate platform fee

The GEO team

  • Content built to be cited: answer pages, FAQs, comparisons
  • Site changes implemented: pages and schema, not just recommendations
  • Off-site presence: directories, listings, structured data, reviews
  • Query set and competitive set tuned as your market moves
  • A monthly working session, and an interpreted report of what changed and why
  • A mid-year re-audit: goals reviewed, questions refreshed

Measure it → improve it → prove it in the next report.

Not sure where to start?

Start with a
Blueprint.

2–3 weeks. Clear plan. Working prototype. Real cost model.