— Answer engine optimization · B2B
Answer engine optimization services for B2B.
B2B buyers now ask ChatGPT, Gemini, Claude and Google’s AI answers before they ever reach a vendor site. We make mid-market and enterprise companies the source those answers cite, by fixing the entity, the structured data and the content behind it.
30+ years inside IBM · EY · J&J · McKesson
Lean Six Sigma Master Black Belt
AIMGrowth from $1,500
60-Day Ship Guarantee
— The pattern · Three failure modes
Why good companies stay invisible to AI.
01
An unclear entity
If an assistant cannot tell what your company is, what it sells and who it serves, it cites someone whose pages make that clear. Entity clarity comes before any content.
02
Pages built for keywords
Assistants answer questions. Pages built around a keyword list rarely contain the direct, sourced answer a model can lift and attribute to you.
03
Nobody measures citations
Rank tracking does not show whether an assistant named you. Without citation measurement, the programme is judged on traffic that answer engines increasingly never send.
— The work · What we do
Answer engine optimization services, run as a data problem.
This is work for mid-market and enterprise B2B companies with a real buying committee. We treat the facts a model reads about you the way we treat a lakehouse gold layer: defined once, sourced, and measured.
Entity definition
One clear definition of what your company is, sells and serves, and every page brought into agreement with it.
Organization and Service schema
Structured data that agrees across the site, so an assistant can attribute a claim to the right entity.
Question map from measured demand
The questions your buyers actually ask, measured from search and assistant data, prioritised by commercial value.
Answer pages with sources
New answer pages written and existing pages fixed, with the direct, sourced answer a model can lift and credit.
Answers built from your data
Where an answer depends on your own numbers, we build it from your lakehouse so the figures are real and defensible.
Citation measurement
A fixed set of buyer questions tracked across named assistants, alongside the traffic and enquiries that follow.
— Why a data firm does this
Answer engines reward clear, sourced facts.
Assistants cite the source that states a fact plainly, backs it and agrees with itself. That is a data problem, and the discipline we apply to a lakehouse gold layer applies equally to the facts a model reads about your company.
Why this is agency work and not a plugin is in what an AEO agency actually does, and the deliverables are set out in generative engine optimization services.
— The method · AIM-IT
Five phases. Measured from the first week.
Assess, Innovate, Model, Implement, Track. Each phase of AIM-IT ends in a named deliverable, and every change is compared with the baseline.
01 · ASSESS
Assess
AI visibility baseline
Where assistants cite you today, and who they cite instead.
02 · INNOVATE
Innovate
Entity and question map
The entity defined and the buyer questions you should own.
03 · MODEL
Model
First pages and schema
A first set of pages and schema rewritten, then citations measured against the baseline.
04 · IMPLEMENT
Implement
Site-wide rollout
The pattern rolled across the site with your team and your content owners.
05 · TRACK
Track
Citation routine
Citation and pipeline measurement, reviewed on a fixed schedule.
— The deliverable · What you get
What you own at the end.
- An AI visibility baseline: where assistants cite you, and who they cite instead.
- A defined entity, with Organization and Service structured data that agrees across the site.
- A prioritised question map built from measured demand.
- Answer pages written and existing pages fixed, with sources.
- A citation measurement routine your team can keep running.
7 to 14 days
Typical first build
5 phases
AIM-IT, end to end
$1,500+
Starting price
60-Day
Ship Guarantee
On every Sprint engagement: if we don’t deliver the agreed working artifact in 60 days, you don’t pay the final invoice.
— Who this is for
Built for a buying committee, not a local listing.
We do not run local SEO, small-business websites, ads or social media. This is answer engine work for mid-market and enterprise B2B companies, led by Frank “Rio” Shines, who spent 30+ years inside IBM, Ernst & Young, Johnson & Johnson and McKesson.
When the facts a model should cite live in your own systems, we build them under data engineering and on the lakehouse so the numbers hold up.
— Related reading · From the blog
Go deeper on answer engine optimization.
Agencies
What an AEO agency actually does
How agencies optimizing for AI answers compare, and what to ask them.
Services
Generative engine optimization services
Deliverables, process and outcomes, set out plainly.
Pricing
How much does AEO cost?
What drives the price of answer engine optimization.
Measurement
How to measure AEO ROI
Tracking assistant citations through to pipeline.
How to win Google AI Overviews
The tactics that get a page cited in AI Overviews.
Assistants
Getting cited by Claude, Gemini and Perplexity
Beyond ChatGPT: how the other assistants choose sources.
— Straight answers · The objections answered
Frequently asked questions (FAQs)
Do you do local SEO or small-business websites?
No. This work is for mid-market and enterprise B2B companies with a real buying committee. If you need a local listing, a website refresh or someone to run ads, we are the wrong firm and will say so on the first call.
What is the difference between AEO and GEO?
Answer engine optimization is about being the answer an assistant or AI summary gives. Generative engine optimization is the broader practice of being cited by generative models. In practice the work overlaps, and we run them as one programme.
How do you measure it?
We track whether and how often named assistants cite you for a fixed set of buyer questions, alongside the traffic and enquiries that follow. How to get cited by ChatGPT covers the mechanics.
Why would a data firm do this?
Because answer engines reward clear, sourced, structured information, which is a data problem. The discipline we apply to a lakehouse gold layer applies equally to the facts a model reads about your company.
What do answer engine optimization services cost?
AIMGrowth starts at $1,500 for a fixed-scope AI visibility sprint. Ongoing programmes are quoted after the review. Every engagement carries the 60-Day Ship Guarantee.
Start with the baseline, not the content plan.
One call, your buyers’ real questions on the table, and an honest read on where AI assistants cite you today.