Technology
Infrastructure
The layer everything else runs on.
Infrastructure is bought by people already in trouble. Cloud spend that outran the business, racks that need booking two quarters out, a build queue nobody can clear, a network blamed for the application's faults. The question they put to a model is the diagnosis, not the vendor. Whoever answers the diagnosis well gets asked the vendor question next.
Where the answer is being lost
Every one of these buyers searches a symptom, not a supplier.
A cloud architect three months into a cost overrun asks 'How do you reduce cloud costs without reducing capacity'. An engineering lead with a queue of pull requests asks 'How do you speed up CI pipeline times for a large monorepo'. The engine answers with hyperscaler documentation and the tooling vendor's own guide, because those are the only sources written at the depth of the question. The partner who actually does this work, on this stack, in this region, is not cited, and hears about the project only when the shortlist is already three names long.
How we win this
The programme for infrastructure
Answer the symptom first
These buyers arrive holding a bill, a queue, a latency figure or a clause in a contract. None of them arrives holding a category. The answer-pages and blogs we build take the symptom in the words they used and carry it through to a decision. Each lever gets its trade written beside it: what it returns, what it costs somewhere else, who has to approve it. A recommendation with no cost attached is where an infrastructure buyer stops reading.
Claim a stack, not a category
A cloud partner described as a cloud partner is interchangeable with two hundred others, and a model treats it that way. Schema work fixes the specifics in machine-readable form: which platforms, which certifications, which regions, which size of estate, which industries under which compliance regime. It is the cheapest route by which a specialist becomes selectable beside a hyperscaler's own documentation.
Publish the measurement
Infrastructure claims get tested, so the material that earns citation here is the material that shows its working. A costing method laid out step by step. A benchmark harness anyone can run. A survey of what these projects really cost at each size. Deployments sit under NDA and partner terms. Method and measurement do not, and they travel further.
Four buyers, four volumes
The four specialisations below produce enquiries at completely different rates, so we do not scope or price them the same way. Devtools brings a steady stream of small enquiries from people who evaluated you before making contact. Data centres might bring a handful in a year, each one worth a hall. Networking brings almost none on demand, and there the honest job is being on the shortlist when the refresh comes round.
The mix that carries it
Content
Answer and comparison pages
Cost, process, eligibility and comparison pages built for direct extraction, not for a reader who scrolls.
Content
GEO blogs and authority content
The definitive written answer to the questions your buyers put to an engine, structured so it can be lifted and attributed.
Foundation
Entity and schema engineering
Structured data and entity definition so engines know exactly what you are, where you operate, and what you are credible in.
Authority
Original data and benchmarks
Proprietary numbers, surveys and benchmarks — the most-cited asset class there is, because nobody else has them.
Measurement
AI Presence tracking
Standing measurement of inclusion, share of answer and competitor movement as models update.
Foundation
Technical fixes
Crawlability, render, speed and the machine-readability faults that keep an engine from reading you at all.
The constraint we work inside
Two ceilings are real here. Hyperscaler and OEM documentation will always be the default source for the general question, so we only take the specific one. And named deployments usually sit under NDA or partner marketing terms, so the proof has to be method and measurement rather than logos.
Specialisations
4 total
The pitch is different for each one, because the buyer, the trigger and the rules on what may be published are different for each one. Open the one that is yours.
Spend is climbing faster than usage, the finance review is already in the diary, and nobody can name the line item that did it. So the cloud architect asks the question in full, in the words she would use with her own team, and takes whatever comes back as the brief for what she proposes.
The question deciding this today
“How do you reduce cloud costs without reducing capacity”
- Who they sell to
- Organisations renting compute and storage instead of owning servers
- Who signs
- CTO, cloud architect, CIO
- What starts it
- Migration, cost overrun, scaling event, compliance requirement
- Cost of staying invisible
- Cloud spend growing faster than the business using it
Put 'How do you reduce cloud costs without reducing capacity' to an engine and you get rightsizing, reserved capacity and lifecycle policies, drawn from the hyperscalers' own cost guidance and a couple of global consultancies. All of it correct. None of it naming a partner, a workload or a number. The migration and optimisation firms that do this work every week are absent from the one answer their next client reads. The first they hear of that estate is a request to quote against a design somebody else already shaped.
What we would run
- 01Answer and comparison pages
One cost page per workload pattern: managed Kubernetes, data warehouse egress, GPU capacity on demand versus committed. Each states the levers in the order they should be pulled, what each one gives back, and the point where cutting starts costing availability.
The architect is searching the workload that is bleeding, not the category. A page named for that workload meets them in the week the finance review is booked.
- 02Entity and schema engineering
An entity definition that pins the specifics: platforms certified on, partner tier, regions operated in, estate sizes handled, the compliance regimes your clients sit under. Written into structured data, not left implicit in a services page.
Hyperscaler documentation owns the general question, so the specific one is all that is left worth winning. Tier, region and estate size band are the three attributes that narrow a question far enough to land on you rather than on the platform's own guidance.
- 03GEO blogs and authority content
The architecture explainers nobody writes properly: what actually changes when a workload moves off a lift and shift, when a multi-cloud design earns its complexity, why a saving evaporates at the next scaling event. Versioned, dated, revised when the pricing model moves.
The CTO builds the mechanism picture before they build the vendor list. This is the material that comes back at you on the first call, phrased the way you phrased it.
- 04Original data and benchmarks
A published costing method with the workings shown: how an estate is audited, what is measured, how a saving is verified after the fact. Plus a size-banded benchmark of what these estates typically run, gathered and dated openly.
Client names sit under partner and NDA terms. A method the buyer can audit does the same job as a case study and travels into answers more easily.
- 05AI Presence tracking
Tracking of who gets named on the cost, migration and architecture prompts across the main engines, month by month, with the source pages those answers draw on and the movement of the other partners in your tier.
Instance families, pricing tiers and free allowances change constantly. An answer page that was accurate in March quietly stops being cited by August.
What we would not recommend
- X. X is where cloud cost talk actually happens, and it happens as savings claims with no estate behind them. Joining that means asserting a figure you would immediately be asked to show workings for, in a format with no room for the workings. The architect who matters is reading the bill, not the timeline.
- Video and YouTube. The talk this buyer would watch is the platform's own conference recording of the same subject, already published by the vendor with the vendor's audience attached. Your version competes with the source and loses. The one exception is a screencast of the teardown method itself, and that belongs on the costing page, not on a channel.
What a lead looks like
A cloud architect at a mid-size product company, six weeks before the annual commitment renews, who has read your egress teardown and your page on committed versus on-demand GPU capacity. They send the bill breakdown in the first email and want to know whether your method holds for a workload that cannot be paused.
What we measure
- Named on cost-reduction prompts
- A cost page per workload pattern
- Enquiries that cite a specific page
- Pricing changes reflected within weeks
- Share of answer against peer partners
What changes
The enquiry arrives with the problem already quantified. A cloud architect sends the month's bill breakdown and asks whether your teardown method applies to their reserved capacity. An engineering lead asks what your build cache did to a repository the size of theirs. An infrastructure head asks about residency before asking about price. They arrive mid-diagnosis rather than mid-tender. By the tender the design is settled and a specialist can only quote against it.
Start here
See who gets named in infrastructure today
We put your buyers' real questions to the live models and come back with the businesses they name, the sources behind those answers, and the gap between that list and yours.