The Second Buyer Audit
Your first buyer is a person. Your second buyer is the AI that decides whether the person ever sees you.
Something reads you before a person does. On AWS Marketplace it is the buyer's AI, ranking your listing against a requirements document written in plain language — live since 30 Nov 2025. Everywhere else it is an assistant answering “who should we buy this from?” out of whatever your page made checkable. Same read, two shelves. This is a written audit of how that read goes.
Two tracks — an AWS Marketplace listing or any website. You pick one at intake. Same six findings, same price.
10 business days. You get a document, not a call.
$2,500 one-time · credits 100% toward the 8-week sprint if you book within 30 days
What you get
6 findings, and a fix list in the order to do them.
Not a scorecard. A read of the 5 surfaces that decide the answer — and none of them is your copy. Each one is scored on your track: the listing, or the page.
Where you get filed
The highest-leverage decision you make, and usually the one made fastest and never revisited.
Listing: which shelf you're on, and whether you're compared against 9 listings or 90.
Page: which category an assistant files you under when it answers — and who it names beside you.
Where your words go
You have a fixed budget of words the machine actually reads. I measure how yours is spent against what buyers search and what competitors already own outright.
Listing: 3 keywords and 250 characters. That's the whole budget.
Page: title, meta description, H1 and the first hundred words — the part that gets quoted back.
The evidence surface
The part that can't be written, only earned — and which of it the read actually weights.
Listing: reviews, Foundational Technical Review, Competencies, Specializations, compliance records.
Page: named customers, dated numbers, third-party records — and what survives once the adjectives come out. 37% of the 595 listings I read carry zero checkable claims.
Agent-mode answerability
Whether you carry the facts that answer a real buyer requirements document — the security questionnaire, the RFP row, the plain “does it do X.” Most listings and most homepages describe a product beautifully and answer nothing.
A side-by-side
Against who you're actually measured against — not the competitors in your board deck — and the one axis where you win.
Listing: the listings you're ranked next to in the comparison.
Page: whoever the assistant names when a buyer asks your category question.
A ranked fix list
Everything above, turned into an ordered list of moves — sequenced by what actually shifts the read first. You can hand it to your team on day 11 and start.
The details.
This is not copywriting.
On 16 Jun 2026 AWS shipped AI-assisted product listing generation — it writes your listing copy for free. Every AI writing tool pointed at your website does the same thing. The machines automated the writing. They did not automate the deciding, and they cannot automate the earning. Copy is the only part either one can generate, because it's the only part that requires knowing nothing outside the page. Every finding in this audit requires knowing something your page doesn't contain — which category is filling up, what your competitors already own, which evidence the read trusts, and what a real requirements document asks for.
8 years inside AWS Marketplace as a Senior Technical BD Manager. 595 listings read.
Find out what the machine actually sees.
10 business days, a written audit, and a fix list in the order to do them. Your listing, your page, or both. $2,500 — and it credits 100% toward the 8-week sprint if you book within 30 days.
