Human-Led, AI-Assisted

Our Approach to AI

AI makes our team faster at research, analysis, and drafting. People set the strategy, review every output, and own every decision that reaches a client. This page explains exactly where the line sits.

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Where the Line Sits

What AI Assists With and What Our Team Owns

The split is simple. AI handles volume and speed. People handle judgment, accountability, and everything a client sees.

AI assists with

  • Keyword, competitor, and SERP research at scale
  • Crawling and summarizing technical audit data
  • First-pass outlines and content drafts for specialist editing
  • Pattern spotting in analytics, rankings, and AI citation data
  • Tracking how brands appear across ChatGPT, Gemini, Perplexity, and Claude
  • Repetitive formatting, tagging, and reporting tasks

Our team owns

  • Strategy, priorities, and what gets worked on each month
  • Final copy, tone, and every claim published under a client name
  • Technical changes pushed to a live website
  • Link placements, partner outreach, and relationships
  • Interpreting results and recommending the next move
  • Every client conversation and every report
How Work Moves

Three Stages, One Owner

Every deliverable passes through the same three stages, and a named specialist owns it from start to finish. AI is heaviest in the first stage and absent from the last. The person who signs off is the same person you talk to.

The result is more ground covered each month across the five pillars of your engagement, with the same review standard that applied before AI entered the workflow.

1. Research and Draft

AI gathers data, summarizes audits, and produces first-pass outlines and drafts under a specialist's direction.

2. Review and Refine

The specialist edits, fact-checks, adds market context, and decides what gets built, published, or dropped.

3. Deliver and Own

The finished work is delivered by the person who owns the account, who can explain every decision behind it.

Our AI Standards

The Rules We Hold Ourselves To

Internal standards that govern how AI tools are chosen, used, and reviewed across every client account.

A Person Signs Off

Every recommendation, article, and technical change is reviewed and approved by a specialist before it reaches a client or a live site.

Data Stays Protected

Client data is only used in tools that meet our data handling standards, and sensitive information is kept out of AI workflows.

Open About Usage

Clients can ask how and where AI was used on any deliverable and get a direct answer from the person who produced it.

Tools Are Re-Evaluated

AI tools are reviewed on a schedule for accuracy, security, and value. Adoption is deliberate, and tools that stop earning their place are removed.

Why It Matters for GEO

GEO Starts With Understanding AI

Generative Engine Optimization is one of our three core services. Getting a brand cited by ChatGPT, Gemini, Perplexity, and Claude requires knowing how these systems pick sources, structure answers, and weigh trust signals.

Our team works inside these platforms every day and tracks citation behavior across them. That first-hand understanding is what shapes the five GEO pillars and the visibility tracking we run through Vantage, our AI visibility tool.

Platforms Tracked
ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews
Visibility Tool
Vantage, built by Skyfield Digital
Approach
Human-led strategy, AI-assisted execution
FAQ

Frequently Asked Questions

AI is used for research, outlining, and first drafts. A specialist then edits, fact-checks, and finalizes every piece before it is delivered. Raw AI output is never published for a client, and every article reflects the strategist who owns that account.

No. Your account is run by named specialists who set strategy, review outputs, and talk to you directly. AI removes repetitive work from their week so more of their time goes to the judgment calls that move rankings and AI visibility.

Client data is only used inside tools that meet our internal standards for data handling, and sensitive information stays out of AI workflows entirely. Access is limited to the specialists on your account. If you have specific data requirements, we will document them in your engagement.

It makes the work faster. More research, more analysis, and more drafts get done per month for the same investment, while quality is protected by the same human review that applied before AI was part of the workflow.

Generative Engine Optimization is the work of getting a brand cited inside AI answers. Because our team uses these platforms daily and tracks how they select sources, we understand what large language models reward, and that knowledge shapes every GEO plan we build.