AI Search Visibility (AEO/GEO)

How We'd Run It

The same six steps, applied to this project

1. 1

   Diagnose

   We find out what real buyers ask AI tools when researching this category, and audit how often — and how accurately — the brand shows up today across ChatGPT, Perplexity, Gemini, and Claude.

2. 2

   Pilot

   We rebuild and structure the single highest-intent piece of content first as a pilot — the page most likely to earn a citation — and track whether AI mentions move before touching anything else.

3. 3

   Review, Together

   We review the pilot's real mention data together and confirm the approach is shifting AI answers, not just search-engine rankings, before scaling it.

4. 4

   Build

   We apply the validated approach across the rest of the brand's content and structured data, prioritized by which pages buyers' AI queries touch.

5. 5

   Launch, With a Human on Every Send

   We publish the updated content and structured data live across the rest of the site, on the schedule the validated pilot earned.

6. 6

   Operate & Improve

   We keep tracking mention share and answer accuracy after the initial push, since AI answer engines retrain and change their sources continuously.

Typical Timeline

A rough phase-by-phase breakdown

A target shape for a project like this, not a narrated account of a specific past engagement — actual pacing depends on scope and how quickly decisions get made.

1. 1

   Diagnose & Baseline

   Week 1

   Find what buyers ask AI tools and audit how often the brand shows up today across the major answer engines.

2. 2

   Pilot

   Early Week 2

   Rebuild the single highest-intent page most likely to earn a citation and track whether AI mentions move.

3. 3

   Review Together

   Mid Week 2

   Confirm the pilot is shifting real AI answers, not just search rankings, before scaling the approach.

4. 4

   Build

   Weeks 2-3

   Apply the validated approach across the rest of the brand's highest-intent content and structured data.

5. 5

   Launch

   Week 4

   Publish the updated content and structured data live across the rest of the site.

6. 6

   Operate

   Ongoing from Week 4

   Monitor AI-mention share as work goes live and keep tracking, since answer engines retrain continuously.

What's Included

What an engagement like this covers

• A baseline audit of how often and how accurately the brand shows up across ChatGPT, Perplexity, Gemini, and Claude today

• Research into what real buyers ask AI tools when researching this category

• A fixed-fee pilot on the single highest-intent page most likely to earn a citation

• Real mention-tracking data reviewed together before scaling the approach

• Content and structured-data work applied across the rest of the brand's highest-intent pages

• Ongoing AI-mention-share tracking after launch, since answer engines retrain continuously

Where Projects Like This Go Wrong

Common pitfalls, and how we handle them

• Treating AEO/GEO like traditional SEO keyword-stuffing, which AI answer engines are specifically built to see through — and which can actively hurt trust in the brand

• Chasing a vanity mention in one AI tool while a competitor is the answer given across the other three a buyer might use

• No way to measure whether AI mentions changed, so the work can't be told apart from noise or a model update

Targets, Not Results

What we consider success

These are the targets we'd work toward on a project like this — not results we're claiming to have already achieved.

• A measurable increase in how often the brand is mentioned or recommended across the AI answer engines that matter to its buyers

• Content and structured data that earns citations because it's genuinely the clearest, most authoritative source — not because it games a pattern

• A repeatable way to track AI-mention share over time, so future work can be judged against a real baseline instead of a gut feeling