A: Hi @ConComSys,

Thanks so much for the kind words. We are building number of things to increase both the relevance and quality of the content we output with our AI models.

For training purposes, we currently handle all training internally, but we have roadmapped Q3 fine-tuning of models with the ability to submit sample articles, as well as choose your "voice and tone" for all articles or specific for a single article.

Keywords data is currently on hold as we use DataforSEO as our source for keyword search metrics. This data was conflicting with our semantic research because the data was missing for many of the keywords we pulled semantically. We are in process of creating a dynamic system that will provide keyword metrics and "quality" scores for keywords while also holding true to the general value that writing about what your audience cares about is most important.

Thirdly, for external and internal linking, the new o3 model which we are actively testing with web search, is outputting external link references in articles it generates and at the bottom for further research. We will continue to experiment on how we can add more quality to the external link references.

More importantly, we import your entire sitemap.xml files with each domain, so we will be including those as "internal link candidates" for all content in our Q3 roadmap. The system will generate direct internal linking within the articles automatically.

This may be a paid add-on, depending on AI credit usage we find during our testing.

Hope that helps answer the questions and apologies for the delay as we were finalizing a few things on our roadmaps.

-Peter