How we work

Methodology

Three phases with measurable outcomes at each stage.

PHASE 01

Discovery

Mapping your current AI presence

We query ChatGPT, Gemini, Perplexity, and Claude with prompts specific to your industry and location
Every recommended business is recorded, including order, frequency, and confidence level
Your competitors' AI presence is mapped against yours
A full audit of your site's structured data, schema markup, and AI crawler access follows
The output is your baseline AI Visibility Score across all platforms

PHASE 02

The technical build

Comprehensive JSON-LD structured data goes in first (Organization, LocalBusiness, ProfessionalService, Person, Service, Review schemas)
We configure robots.txt for all major AI crawlers: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and 10+ others
We create an llms.txt file for direct AI platform discovery
Entity disambiguation signals go in to separate your business from competitors with similar names or locations
Content gets restructured and expanded to align with the natural language patterns consumers use when asking AI for recommendations

PHASE 03

Tracking real visibility changes

Rescans run monthly across all major AI platforms
Position changes, new appearances, and recommendation frequency are tracked against your baseline
Competitor movement in AI recommendations is monitored alongside your own
Implementation adjusts as platform behavior shifts
You receive clear progress reports with baseline-to-current comparisons and quantified score movement

Start here

Every engagement begins with a free AI Visibility Report. See exactly where you stand before we scope the engagement.