"Which AI is best" isn't really a useful question without context - for SEO and content work specifically, each major model tends to have slightly different strengths, and most people doing serious content work end up using more than one depending on the task.

What each tends to be good at

Broadly: some models lean toward longer, more structured writing with fewer repetitive tics, which matters for long-form blog content; others are faster and cheaper for high-volume, simpler tasks like generating a batch of meta descriptions or title variations. Model quality also shifts with every new release, so a comparison written even six months ago can be outdated - it's worth testing the same prompt across a couple of models on your own actual content rather than trusting a one-size-fits-all ranking.

Understanding API cost if you're building something

If you're past just using the chat interface and calling a model's API directly - for a script, an automation, or a tool you're building - pricing is based on tokens in and tokens out, usually priced separately for input vs output. A rough way to estimate monthly cost: figure out your average tokens per request, multiply by your expected request volume, and multiply that by the per-token rate (check the provider's current pricing page directly, since rates do change).

What "RAG" means, briefly

RAG (retrieval-augmented generation) is a technique where a model pulls in relevant information from an external source (a document, a database) before generating its answer, rather than relying purely on what it learned during training. It's how a lot of "chat with your documents" tools work under the hood, and it's part of why those tools can answer questions about content the base model was never trained on.

Using AI tools without signing up for anything

Most major providers offer a free tier accessible through their web chat interface with no API key or billing setup needed - fine for everyday writing and research tasks, and worth starting there before committing to a paid API integration for anything that doesn't actually need one.

For the practical side of prompting these tools well once you've picked one, see our prompt template guide.