Questions
Fair
questions.
About the site, about how it is paid for, and about buying AI in general. If yours isn’t here, ask it.
Who is behind this site?
ArtificialIntelligences.com is an independent index run by a small team. It is not owned by, funded by, or affiliated with any of the AI companies listed on it.
How do you make money?
Three ways, all disclosed: affiliate commissions on some outbound links, clearly marked sponsored placements, and M&A advisory work for owners of AI companies. None of them affect rankings or scores. The methodology page spells this out in full.
Can I pay to rank higher?
No. You can buy a marked sponsored slot that sits outside the ranked list. You cannot buy a position in the ranking, a trust score, or a favourable review — and if that ever changes, the methodology page will say so before it happens.
How is the trust score calculated?
It is an editorial judgement out of 100, built from how clearly the product describes itself, whether pricing is public, whether there is a real company behind it, and whether it does what the marketing claims. It is not a benchmark and we do not pretend it is a measurement.
Why don't you publish benchmark scores for models?
Because we do not run our own evaluations. Republishing someone else's leaderboard numbers in our own table would give them a false authority. We publish what we can verify — context window, price, modality, availability — and point at sources for the rest.
How often is the data updated?
Model pricing and context windows carry a verified date on the page. Tool entries are reviewed on a rolling basis. This market moves faster than any directory can keep up with, so treat anything here as a starting point and check the vendor before you sign.
Something about my product is wrong. Can you fix it?
Yes, and quickly. Corrections from vendors about their own products are the fastest route to a better entry — send them through the contact form.
Which model should I use?
It depends on the job, but the honest general answer is: start with a mid-tier model from a major provider, measure whether it is good enough, and only move up when you can point at a specific failure. Most teams over-buy capability and under-buy evaluation.
Do I need to build my own AI, or can I buy something?
Almost certainly buy. Building makes sense when the workflow is your actual product, when you have data nobody else has, or when the per-unit economics of an API genuinely do not work at your volume. Otherwise you are rebuilding something that will be commoditised within a year.
Is my data safe with these tools?
That varies enormously and is the single most under-asked question in AI procurement. Ask every vendor whether your inputs train their models, where data is stored, and what happens to it when you leave. A vendor that cannot answer plainly has answered.