No. SEO optimises for ranking inside a list of links. This optimises for selection inside a single generated answer, where there is no page two and often no browsing step at all. The inputs are different, the signals are different, and the work is different.

No. This is the organic side: getting named and recommended without paying for placement. I do also run ChatGPT Ads for businesses that qualify, and having run the ad account is a large part of why I understand the organic side. They are separate products.

How is success measured?

Three independent instruments, in order: whether AI crawlers are reaching your pages, whether the assistants name you when the buying question gets asked, and whether branded search picks up behind it. Crawl demand moves first, weeks before anything human shows up.

Do you guarantee results?

I guarantee the work, the measurement and the reporting. I do not guarantee a citation or a ranking, because as of the July 2026 research review no technique has been shown to move AI answers reliably across platforms over time. Anyone promising otherwise is guessing with your money.

The Method · Six stages

Most brands try to win clicks.

I make sure you are chosen before the click exists.

AI has collapsed the buying process into a single step: recommendation. This is how I work on that step. Six stages, each fixing a different layer of how an assistant finds, understands and chooses your business.

Why the old playbook breaks.

The old system gave you chances. You could rank. You could retarget. You could optimise your way back into the sale. That system depended on friction.

AI removes it. A question is asked. An answer is given. A decision is formed. There is no browsing phase any more. Either you are included, or you are never considered.

AI does not discover your brand. It selects from what it understands.

The six stages.

Every stage has one job. Each one moves you closer to being the business the assistant names, and to converting when it does.

Stage 01

Decision Mapping

I reconstruct how your customers actually decide.

The real questions they ask before buying
Intent clusters, from research to purchase
Constraints that rule you in or out
Decision triggers and blockers

Stage 02

AI Visibility Audit

I test whether the assistants name you.

Named or absent, across ChatGPT, Gemini and Perplexity
Which competitors take the answers you want
The gaps between what you say and what gets repeated
The external sources those answers are built on

Stage 03

Foundations

I make the business readable and trusted by machines.

Entity clarity: one consistent story about who you are
Structured data the models can actually parse
Crawler access, render speed, and the technical floor
Third-party consistency across the sources that get cited
For product businesses: catalogue structure, attributes and feed quality

The last line switches on only when a shopping-visibility check shows products actually surface for your category. I measure it rather than assume it - selling a product workstream to a business with no product surface is selling a dashboard of zeros.

Stage 04

Recommendation Engineering

I influence why the model picks you.

Comparison assets for the questions buyers actually ask
"Best for" framing that makes the fit obvious
Decision messaging aimed at the moment of choice
Authority signals on the sources that feed the answer

Stage 05

Conversion Alignment

I make sure the answer-driven visit converts.

Message continuity from the answer to the page
Friction removed from the path they arrive on
Trust signals where the hesitation actually happens

Stage 06

Proof

I show you the work, every month.

What moved
Why it moved
What I did
What is next

Same four questions, same order, every month. A flat month with a correct explanation builds more trust than a good month with none.

Questions.

Start at stage two.

The visibility audit is the second stage of this method, and I run it for anyone who asks - at no cost, before there is any question of hiring me.

See what AI says about you