AI content optimization
A model lifts two or three sentences, not the page. If there is no self-contained passage in the text, there is nothing to quote, however much you publish. So we start with an audit of what you have already published rather than with new articles, rework key pages to open with a direct answer and checkable numbers instead of adjectives, and your product team reviews every rewrite, because invented figures come back.
Tick what you recognise – the estimate updates as you go.
A rough estimate from our audits, not a measurement. The exact figure comes after the review.
Three reasons your text never gets lifted
Models quote passages, not pages
A language model lifts two or three sentences, not your whole article. That single fact reorders everything: a page can rank well and still never be cited, because there is no self-contained passage in it worth taking. We rewrite so that each section answers one question completely, without needing the paragraph above it.
Adjectives are unquotable, numbers are not
“Fast, secure and scalable” cannot be lifted into an answer, because it asserts nothing checkable. “Median latency of 40 ms across 12 regions” can. Most B2B content is written in the first register, which is why competitors with weaker sites get cited instead.
Rewriting beats publishing
You almost certainly already have the material. In our engagements, reworking an existing library produces citations faster and cheaper than adding new articles, because those pages are already indexed and already carry links. New content is the second step, not the first.
What gets lifted and what does not
The last row is the commonest B2B mistake: the answer exists, but it sits under a paragraph about how remarkable you are.
From audit to new formats
What is quotable and what is not
We go through the existing content and score every page on the things that decide citation: is there a direct answer, are there checkable numbers, is each section self-contained, are sources named. Most libraries score under thirty percent.
A scored inventory and a list ordered by which rewrites pay back first.
The pages that already rank
We start with pages that already hold positions, because a rewrite there changes citation without risking traffic. Direct answers moved to the top, comparison tables added, adjectives replaced with figures your team confirms.
Eight to twelve reworked pages a month, each reviewed by your product team before it ships.
What the library is missing
Comparison pages, glossary entries and structured explainers – the formats that get lifted most often and that almost no B2B library contains. Schema and llms.txt go in here too, though they matter less than the writing.
Citations start appearing in Perplexity first; AI Overviews follow by roughly two months.

A model lifts two or three sentences, not a page. That single fact explains why a site can rank well and never be quoted: there is no self-contained passage worth taking. Adjectives cannot be quoted, numbers can – and most B2B content is written entirely in adjectives.
Alexei Rozenplenter · Founder and CEO · About the author · LinkedIn
What this did for tech companies' revenue
From 1,500 to 6,600 visits a month in the US market
Online exam platform: three locales that were blocking each other
Developer directory: from nothing to 1,083 queries in the top 30
Figures are taken from the clients' own analytics for the periods stated.
What actually changes in the text
Where the rewrite starts
The first move is scoring the library you already have, not writing new material. Every page is rated on four things: whether it answers a question directly, whether it carries checkable numbers, whether each section stands on its own without the one above it, and whether sources are named. Most libraries score under a third, which is good news, because reworking is cheaper and faster than producing.
We start with pages that already hold positions. A rewrite there changes citation while risking almost no traffic: the page is indexed, it has earned its links, and we are changing the form rather than the subject.
What changes in the text
The direct answer moves into the opening paragraph and the positioning moves down or disappears. Adjectives are replaced with values your team confirms: not "fast and reliable" but a specific latency under specific conditions. Comparison tables get added, because that is the format models lift most often and almost no B2B library contains it. Every section is rewritten so it can be read on its own.
Every figure is verified. An invented number survives until the first engineer on the client side reads it, and that costs more than having no number at all.
How this relates to ordinary search
These edits rarely hurt rankings and often help: a direct answer up top improves engagement, and self-contained sections raise the odds of a rich snippet. But that is not what we are aiming at. If you need growth in classic results, the work is site structure and links rather than the shape of the prose. That is the adjacent service, and we will say so if it suits you better.
We'll score your library
Alex will take ten of your pages and show which passages a model could lift and which it could not. Free, and the document is yours.
Send us ten pages
The site address is enough, we'll pick them. We'll show what a model could take from your text and what it could not.