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