AI search & generative engine optimisation
B2B AI SEO Agency Services, Sold Without the Numbers Nobody Can Source
B2B AI SEO agency services exist because your buying committee now asks a model before it asks a salesperson — and because most of what is being sold under that label is ordinary SEO with a new invoice line. This page separates the two. The parts that are genuinely new get named. The parts that are recycled get named too, including the ones we do.
Every agency in this category is quoting you the same handful of statistics about AI-referred traffic. We stopped using them, because when we went looking for the underlying studies most of them traced back to a vendor's own sample of a few hundred sessions. What follows is what we can actually stand behind: a documented mechanism, an honest account of what cannot be measured yet, and a published price.
Free AI visibility check
We run your brand through the major answer engines on your real buyer questions and send you what comes back — including the answers where a competitor is named and you are not. One business day, no call required.
The honest version
Three things are genuinely new. Everything else is SEO with a different label.
The most common warning in this category, repeated across practitioner communities all year, is that traditional agencies have relabelled existing services and raised the price. That warning is largely correct, and pretending otherwise would be the fastest way to lose a technical B2B reader. So here is the split as we see it.
Retrieval is not ranking, and the difference is structural
A search engine returns a ranked list of documents. A model composes an answer and decides which sources to name inside it. Those are different mechanisms with different failure modes. You can hold position three organically and be absent from the generated answer above it, because the passage the model needed was buried in a paragraph rather than stated as a claim it could lift. Content that ranks and content that gets quoted are overlapping sets, not identical ones.
Practical consequence: the fix is usually structural, not additive. More words rarely help.
You are an entity before you are a website
A model has to resolve who you are before it can recommend you — what category you belong to, what you sell, who you serve, and whether independent sources corroborate any of it. If your company does not resolve cleanly as an entity, you are not ranked lower in the answer. You are simply not in it, and no amount of on-page work fixes that alone, because the corroboration has to come from outside your own domain.
In B2B this bites hardest on companies with a generic name or a recently changed one.
Measurement is a decade behind the channel
There is no rank tracker for a generated answer, because there is no stable position to track. The same question asked twice, phrased two ways, by two users, on two model versions, returns different sources. Anyone selling you a guaranteed position in an AI answer either does not understand the mechanism or is counting on you not to. What can be done is sampling — asking the questions your buyers ask, repeatedly, across engines, and recording who gets named.
We report citation frequency across a fixed question set. Not a position. There isn't one.
The one piece of primary research worth citing in this category is the generative engine optimisation paper from Princeton, Georgia Tech, the Allen Institute and IIT Delhi, presented at ACM KDD in 2024. It tested specific content interventions against generated answers and found that adding citations, quotations and statistics to source material measurably increased visibility within those answers — while keyword stuffing, the tactic most people reach for first, did not.
Aggarwal et al., “GEO: Generative Engine Optimization.” arxiv.org/abs/2311.09735
The work
Four workstreams, and one of them is just good SEO
We would rather show you the boring composition than sell you a proprietary-sounding system. If a competing agency will not tell you which parts of their AI offering are new and which are repackaged, that refusal is the answer.
Workstream 01
Entity resolution
Organization and Service schema that agree with each other across the whole domain, a single canonical description of what you sell, consistent naming in every third-party profile, and cleanup where an old brand name or an acquisition still splits your identity across two entities. Unglamorous, and the thing most often broken.
Workstream 02
Quotable structure
Claims stated as claims, in one sentence, near the heading that asks the question. Definitions that stand alone. Comparisons in tables rather than prose. Numbers with a named source attached, because an unattributed figure is worth less to a model than no figure at all. This is where the KDD findings translate directly into production work.
Workstream 03
Third-party corroboration
Models weight what other sources say about you more heavily than what you say about yourself. Industry directories, review platforms, association listings, analyst mentions, comparison pages you do not control. In B2B this is the slowest workstream and the one with the longest half-life.
Workstream 04
The classical SEO underneath it
Crawlability, rendering, internal architecture, topical depth. Answer engines still retrieve from an index, and several of their crawlers are less capable than Google's at rendering JavaScript. A site that is hard to crawl is invisible in both channels at once. This is not new work and we will not price it as though it is — it is technical seo for b2b as it has always been done, and it remains the majority of the effort.
Where B2B is different
Five question shapes, and only two of them get answered by anyone's blog
The B2B buying committee runs six to ten independent research paths, and generative answers absorb the early ones first. What follows is how those questions actually arrive at a model, who inside the account is asking, and whether the answer determines a shortlist.
| Question shape | How it arrives | Who asks | Shortlist value |
|---|---|---|---|
| Category definition | what is vendor risk management software |
Junior researcher, new hire | Low — no vendor named |
| Requirement framing | what should we look for in a SOC 2 audit partner |
Project owner building criteria | Medium — shapes the RFP |
| Vendor discovery | best X platform for a mid-market bank |
Economic buyer, consultant | High — this is the shortlist |
| Head-to-head | A vs B for regulated environments |
Technical evaluator | Highest — two names, one wins |
| Objection check | does X integrate with our ERP |
Anyone, late, silently | High — decides deals quietly |
Almost every B2B content programme concentrates on the first two rows, because they have measurable search volume and are the easiest to write. The bottom three are where the revenue is, and they are chronically under-served — which is exactly why they are winnable in generated answers, where there is often no strong source for the model to pull from at all.
That is the whole opportunity, stated plainly. Not that AI search is enormous today, but that the questions deciding your deals have thin source material, and thin source material is cheap to outrank. It is the same argument behind our full B2B search offering, applied to a newer surface.
Disqualifiers
What we will not tell you about AI search
Not claimed
That we can guarantee a citation
Generated answers are probabilistic and vary by phrasing, context and model version. Nobody can guarantee a position in one. An agency that offers to is either uninformed or counting on you being.
Not claimed
That AI search is already your biggest channel
Referral traffic from AI platforms is growing quickly and is still a small fraction of total sessions for most B2B sites. The reason to work on it is the composition of those sessions, not the volume. Anyone leading with the volume argument is overselling.
Not claimed
That we have a proprietary model advantage
We have no privileged access to any engine, no relationship with any model provider and no tool that sees inside a retrieval decision. What we have is a repeatable sampling method and a documented content system. That is the honest inventory.
Not claimed
The conversion multiples going round this category
You have probably seen a figure claiming AI-sourced visitors convert several times better than organic ones. We traced it and could not find a study behind it that survives scrutiny. It may well be directionally right. We will not put a number on your proposal that we cannot show you the source for, and you should apply the same test to every agency you talk to — including on the pages where we quote our own results.
Published pricing
AI visibility is not a separate retainer
We do not sell generative engine optimisation as an add-on line, because three of the four workstreams above are things a competent SEO engagement should already be doing. Charging twice for entity cleanup and schema is how this category earned its reputation. The tiers below are our published b2b seo pricing, unchanged for this work, and the delivery scope behind them is set out in our B2B SEO solutions.
Foundation
$2,500/mo
- Technical audit and twelve-month roadmap
- Keyword universe with intent scoring
- Entity and schema cleanup
- Four authority posts per month
- Baseline AI citation sampling
Authority · most common
$5,000/mo
- Everything in Foundation
- Competitor gap analysis, top five rivals
- Eight authority posts per month
- Pillar and cluster architecture
- Third-party corroboration workstream
- Monthly citation sampling across engines
Domination
$10,000+/mo
- Everything in Authority
- Multi-brand or multi-location systems
- Dedicated strategy lead
- Custom pipeline attribution
- Weekly check-ins
Ranges reflect scope, not guarantees. If Foundation covers your bottleneck, buy Foundation — being sold up a tier you did not need is one of the reasons buyers distrust agency pricing in the first place.
Questions
What buyers ask before signing an AI SEO engagement
What do B2B AI SEO agency services actually include?
Entity resolution across your domain and third-party profiles, restructuring content so claims are extractable, a corroboration programme so independent sources describe you consistently, and the underlying technical and topical SEO that both channels depend on. Plus sampling: we ask your buyers' real questions across the major engines on a fixed schedule and record who gets named.
Is this different from regular SEO, honestly?
Partly. Roughly a quarter of the work is genuinely specific to generated answers — extractability, entity disambiguation, and citation sampling. The rest is SEO done properly. We would rather tell you that than charge you a premium for a relabelled service, and you should be suspicious of any agency whose answer to this question is that all of it is new.
Can you guarantee we get cited in ChatGPT or Google AI Overviews?
No. Generated answers vary by phrasing, user context and model version, so there is no fixed position to guarantee. What we commit to is a documented method, a fixed question set sampled on a schedule, and honest reporting of where you are named and where a competitor is named instead.
How do you measure it if there are no rankings?
Citation frequency across a fixed set of buyer questions, sampled repeatedly across engines, plus referral traffic from AI platforms where analytics can attribute it, plus branded and direct search movement, which often rises before referral traffic does. We report all three separately rather than blending them into a single flattering number.
How long before anything changes?
Entity and schema fixes can affect how you are described within weeks. Citation presence on competitive vendor-discovery questions follows the same curve as organic authority and takes considerably longer — our documented case study reached its primary keyword at number one within a year on a new domain with no backlinks. Nothing about AI search shortcuts that.
We already have an in-house SEO team. Do we need you?
Possibly not, and if the entity work and structural changes are things your team can execute, consulting is the cheaper and more honest purchase. Our consulting engagement exists for exactly that case and we will point you at it rather than sell you a retainer you do not need.
Why should we believe an agency's own claims about this?
You should not, on assertion. Ask for the source behind every number on the page, including ours. Ask which parts of the offering are new versus relabelled. Ask what happens to your accounts if you leave. We are a b2b seo services agency whose entire argument is published evidence, so applying that test to us is the point rather than an inconvenience.
Everything else we publish
The rest of the library
Nothing below is gated. If you would rather run b2b ai seo services yourself than hire anyone, these are written so you can.
By industry
AI search
Services and how to buy
Disclosure. Results described on this page reflect one documented engagement and the system replicated across a multi-brand portfolio; they are not a projection for your business and no outcome is guaranteed. Search and AI visibility results vary by industry, competition, budget and execution. The generative engine optimisation findings referenced are attributed to their published authors and linked in full. Where we describe general market patterns, those describe the category rather than any named firm. We provide SEO services and do not provide legal, financial or compliance advice. See the policies and disclaimers for the full terms.
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