Yes.

We give you 3 free articles so you can test Penfriend and see the results for yourself.

Sign up in the nav bar and generate your first article.

Yes.

Penfriend articles are safe for Google.

Our platform generates unique and original content that adheres to Google's guidelines. We prioritise creating content that offers genuine value to readers, making sure it aligns with best practices and avoids any potential penalties from search engines.

Yes.

Penfriend articles are crafted with search optimization in mind.

Built with the expertise of an SEO Content Strategist with over 10 years of experience, our articles are designed to be search engine friendly.

Penfriend is built using the expertise of an SEO Content Strategist with over 10 years of experience, who’s delivered $36.1M in client revenue.

And we’ve dedicated over 1,500 hours to refining our article writing prompts.

This combination makes sure our articles are optimised for search engines and reader engagement.

Penfriend uses the OpenAI API to generate articles.

In the future we plan to add other LLMs because some are better at particular tasks and we want to reduce the dependency on one LLM.

Yes.

We’re creating a list of article examples over here.

No.

You can’t do what Penfriend does in ChatGPT.

Penfriend does use the ChatGPT API to generate articles but there are over 40 unique prompts and agents that go into building each article section by section.

Penfriend is designed to make long form articles that rank in Google.

The 20+ prompts that go into making an article are based on a proven SEO content strategy that’s delivered $36.1M in client revenue.

But, we have seen people use the articles Penfriend generates for other things:

1. Video scripts
2. LinkedIn posts
3. Personal blog posts

Just know that we built it to make articles that rank in Google.

Yes and no.

Today you can generate one article at a time in one tab.
But, you can also run Penfriend in multiple tabs. (I've had +80 instances running at once before now...)

In the future we plan to allow multiple generations at once. 

Penfriend articles are designed to be high quality and close to a publish-ready state.

But, as with any automated tool, we recommend a review to make sure it’s factually correct and that the content aligns with your brand voice.

Before publishing you may also want to consider:

1. Adding images, videos, charts, and infographics to break up the text
2. Adding quotes, testimonials, or case studies
3. Adding personal stories 

Yes.

You can add and remove sections as you wish. You can edit H2s, H3s, and bullet points.

But remember, we’ve based the outline on a proven content strategy to help the articles rank in Google. Too many edits might risk that.

Examples of good edits:

1. Changing the tone
2. An extra step in a how-to section
3. Changing competitors in comparison blog

Examples of bad edits:

1. Removing “related keywords” from H2s
2. Removing too many H2 sections
3. Adding too many H2 sections

We made an editing framework called the YOURS framework.

Here’s an overview:

Y = Your voice
The main reason we edit. Does it feel like you? Read like you?

O = Optimize
Increase ranking via SEO. Add places for social distribution.

U = Update
Check the facts, the numbers, the quotes, the stats. Update them to suit.

R = Relatable
Add your own experience here. Remember you’re a human talking to another human. Stories and first hand accounts work perfectly.

S = Strengthen
Weak content is boring content. We make content strong via videos, images, quotes. Think multimedia.

For more help, check out this fully fledged blog we wrote. How to edit AI articles.

No.

You don’t even have to think about OpenAI keys, Claude keys, piano keys or door keys.
We handle that all for you.

Yes.

Article credits never expire so it’s up to you when you use them.

Yes.

You’ll get all the credits at once in case you want to use more in certain months.

e.g. If you buy the Premium annual plan which gives you 35 article credits a month, you get 420 article credits on day one.

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No. Not even kinda.

We don’t have an AI model to train.

And we use OpenAI’s API which they don’t use to train their model.