Editorial standards

Contents

1. Accuracy first
2. Prices in their own units
3. Vendor claims are labelled
4. Fair to every option
5. No paid placement
6. How we use AI tools
7. Corrections

Accuracy first

Every factual claim about a vendor links to a source we opened, with the access date. If we cannot verify something, we leave it out or say it is not published.

Prices in their own units

Vendors price by the minute, the call, the unique caller or the platform. We quote each price in the vendor's own unit and terms, and label any conversion to a common unit as our own calculation.

Vendor claims are labelled

Case-study figures and comparisons published by vendors are labelled as theirs and kept separate from official data.

Fair to every option

Each option is described in plain, neutral language, with its strengths, its limits and the companies it suits. We say when another option is the better choice.

No paid placement

No vendor pays to appear, to be ranked or to be described differently. There are no affiliate links.

How we use AI tools

We use AI tools to help with research and drafting. Every factual claim is checked against the source it cites before publication.

Corrections

If a fact is wrong or out of date, tell us. We fix verified errors quickly, update the page's date and record the change in its change log.

Further reading

• Guide · CostAI vs human receptionist: what each really costs in 2026Pricing units in this market (salaries, minutes, calls, unique callers, platforms) make options hard to compare. This guide puts them on the same footing.
• Guide · Receptionist and CRMHow to connect an AI receptionist to your CRM and calendarAn AI receptionist that answers well but leaves the CRM untouched has moved the typing from the phone to the inbox. This is how the integrations differ, and how to test them.
• Guide · Property managementThe AI receptionist for property managementResidents call at all hours, emergencies cannot wait for the morning, and every call should become a work order or a showing. This is how AI receptionists handle that, and where they should not.