Performance · AI & LLM Systems Consulting
AI, applied — not just discussed.
Every vendor is pitching an AI feature right now, and most of it doesn’t hold up past the demo. We help you separate what’s actually useful — AI-assisted content workflows, search integrations, internal automation — from what’s a distraction, and implement the parts that are worth it.
The problem
Leadership is under pressure to “do something with AI,” and most of what gets bought in response is either redundant with existing tools or built on a use case that was never actually validated.
What's included
AI readiness assessment
A clear-eyed audit of where AI genuinely improves your marketing or operations, and where it’s a solution looking for a problem.
AI search & visibility integration
Connecting your content and technical SEO strategy to how AI Overviews, ChatGPT, and Perplexity actually surface answers.
Workflow automation
Practical automation of content, reporting, and internal workflows using LLM tooling that fits your existing stack.
Chatbot & assistant implementation
Customer-facing AI assistants scoped to what they can reliably do, trained on your actual content and offerings.
How it runs
A defined process, not an open-ended retainer.
- 01
Readiness assessment
Current tools, workflows, and content reviewed to identify realistic, high-value AI use cases.
- 02
Prioritize & scope
Use cases ranked by effort and impact, with a scoped plan for the ones worth building first.
- 03
Implement
Integration or build work executed against the scoped plan, tested against real inputs before rollout.
- 04
Train & monitor
Team training on the new workflow or tool, with monitoring to catch drift or failure modes early.
Common questions
AI & LLM Systems Consulting, plainly explained.
- Do we need our own AI strategy, or can we just adopt what our tools already offer?
- Most off-the-shelf AI features are generic by design. A strategy matters when the use case is specific to your business — your content, your customer questions, your operational bottlenecks — which is usually where the actual value is.
- Is this the same as your GEO and AI content work?
- They’re related but distinct. GEO content writing is about getting your existing pages cited by AI answer engines. This is broader — evaluating and implementing AI tools and systems across marketing and operations, which may or may not involve content at all.
- We’re worried about AI tools producing generic or inaccurate output. How do you handle that?
- Any AI implementation we build is scoped narrowly and trained on your actual content and data, with a clear boundary on what it should and shouldn’t attempt. Generic, ungrounded output is usually a sign of a tool applied too broadly, not an inherent limitation.