Direct answer
The difference is accessibility and deliverable shape. Big-tech tools are self-service products: they give a score and a dashboard, usually behind a threshold — some require adding a sales contact and passing an approval step, others are paid products still in trial. They do not organise your corpus and they do not write your acceptance criteria. We deliver assets and acceptance: corpus preparation, an evaluation set, a standards gap list, and a re-checkable process record. The two do not conflict — tools observe, we deliver.
Start with the conclusion
They are not competitors, they are two different things: tools give you a score, we give you assets and acceptance.
1. Accessibility differs
Most big-tech tools run through enterprise sales or invitation trials: some require adding a sales contact and passing a review, some are paid and still in trial. Small businesses often cannot get inside that door at all — a great tool you cannot access is worth nothing.
2. Deliverable shape differs
| Big-tech self-service tool | Us | |
|---|---|---|
| What you get | A score, a dashboard, a report | Corpus base, evaluation set, gap list, process evidence |
| Who does the work | You | We do it, you accept it |
| Corpus preparation | Not included | Bucketed chunking, index isolation, metadata backfill |
| Acceptance criteria | None | Item by item, against standard clauses |
| Liability boundary | Vendor covers the system only | We cover the deliverables |
3. Why they should be used together
Tools are good at observing: trends and fluctuations. A service provider is good at delivering: turning scattered material into an asset that can be retrieved, cited and pass a compliance check.
Our advice: use every free observation tool you can get — search platforms' own AI performance reports, server logs, search console query data — to cover the observation surface; and hand the parts where someone must own the result to a service provider.
4. One honest note
If your material is small and your requirements are modest, you can absolutely do it yourself with tools — we will say so. Our value appears in these situations: large material volume with no clear sense of priority, a compliance check to pass, or a need for deliverables a third party can re-check.
Key facts
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Sources
- Our 2026-09 public-information review of mainstream AI visibility tools
- GB/T 47746—2026 self-check practice
- Our client-facing first-question response position
Follow-up questions
Which free observation tools do you recommend?
Search platforms' own AI performance reports, site log analysis, and search console query data. All official entry points, zero cost, enough to establish a baseline.
So do we still need tools?
Yes, but start with the free ones. Tools track trends; delivery builds the asset. The two do not overlap.