Your buyer asks an AI
before they ask you.
By the time a B2B prospect fills in a form, a shortlist already exists and something helped build it. We find out what the engines say when your buyers ask, fix what is making them say it, and re-run the same questions to show the difference.
Why this is now a separate line of work
Each figure names its source and sample size. The two Ahrefs studies are vendor research, labelled as such; the buyer survey is G2's. We walk through what the published evidence does and does not support in what the research actually measures.
The four questions we answer
01
Which prompts does the buying committee actually run?
A B2B purchase involves several people asking different questions: the practitioner asks which tool does the job, the manager asks about alternatives and pricing, procurement asks about security and compliance. We build the prompt set around all of them, not around keywords.
02
What does the engine cite when it answers them?
Usually not you. Most of what an engine reads about a vendor sits on third-party pages — comparison posts, review sites, forum threads. An agency that only edits your own site is working part of the surface.
03
What changes, and who ships it?
A prioritised fix list with the work named: evidence added to the pages engines quote, rendering fixed so crawlers get full HTML, new pages for the questions you currently lose, and coverage off your domain. We ship them as pull requests or CMS drafts you approve.
04
How do you know it worked?
The same prompts, re-run per engine, before and after, repeatedly. Answers vary run to run, so a single reading proves nothing either way.
Selling SaaS specifically?
Category prompts behave differently when the product is software a buyer can trial in an afternoon. The SaaS version of this page covers that, including a published study of how three engines answer a real software category and how many established brands they never name at all.