This guide is for cloud migration and modernization consultancies whose content gets read by engineers but not found by the people who commission migrations. It explains why the results page looks the way it does and which pages reach buyers.
The results page is not neutral
Search for a cloud topic and the results are filled with provider documentation, partner marketplaces, comparison articles and tool vendors. These sources are authoritative, numerous and aimed at the practitioner asking how something works.
A consultancy writing a similar explainer competes with the source of record. It rarely wins, and when it does, it attracts engineers, not the people who commission a migration.
Two kinds of queries, two kinds of audiences
| Query type | Example | Who is typing | Who wins |
|---|---|---|---|
| How-to | “migrate PostgreSQL to a managed database” | Engineers solving a task | Vendor docs, forums, tool vendors |
| Evaluation | “cloud migration cost”, “lift and shift vs re-platform” | Managers and architects scoping | Mixed: vendors, analysts, some consultancies |
| Provider | “cloud migration partner for SaaS”, “who can migrate our ERP to the cloud” | The person commissioning the work | Directories, lists, firms with specific pages |
The third row is where a consultancy has a chance, and it is also the row most firms do not write for.
What buyer-level pages contain
- The scenario. Source environment, target, workload type and the constraint that makes it hard: downtime, data volume, compliance, a deadline.
- The method. Assessment, planning, migration waves, cutover and stabilization, with what each phase delivers.
- The cost drivers, stated honestly: what moves effort up or down, without invented price ranges.
- The people. Named architects with experience a reader can verify.
- Verifiable partner evidence. Official partner status and certifications that match the cloud provider’s own directory.
- Anonymized evidence. A runbook excerpt, a cutover plan outline or a retrospective, shared with client permission.
What to change
- Write a page per migration scenario you actually perform rather than one page titled “cloud migration”.
- Add decision content: when to rehost, replatform or refactor; how to estimate; how to avoid a cost surprise after the move.
- Link practitioner articles to the scenario page they support, and track them separately from buyer traffic.
- Keep partner listings, profiles and your site consistent so answers describe the firm the same way everywhere.
Quick diagnostic map
Starting hypotheses to test against your own data.
| Symptom | What to check | Likely fix |
|---|---|---|
| Engineer traffic, no migration inquiries | Share of how-to versus provider-level queries | Add scenario and decision pages; link tutorials to them |
| Firms with less experience outrank you for “partner” queries | Their page structure and evidence | Add method, people and verifiable partner status |
Limits of this guide
Marketplaces, co-selling and referrals from vendors are real channels that search data will not show.
Do not publish performance or savings claims you cannot support, and respect client confidentiality when using evidence.
Common questions
Why do cloud vendor docs outrank consultancy articles?
They are authoritative, heavily linked and aimed at practitioners asking how to do something. A consultancy has a better chance on queries that ask who can do the work, where specific scenario pages can answer more directly than a general document can.
Should we list our cloud partner status?
Yes, where it is accurate and verifiable in the provider’s own partner directory. It is independent confirmation that people and AI engines can match against your site.
Do tutorials help a cloud consultancy?
They can earn practitioner attention and links. They usually need a clear path to a buyer-level service page, and should be measured separately from commercial traffic.
Structuring accurate, discoverable service pages around buyer situations is part of SEO for IT and developer firms.
Kryston publications
Analysis for IT services and software development firms on search, AI visibility and buyer trust.
