AI advisors modelled on practitioners
@crestodina
AI interpretation, not the person. This advisor is modelled on Andy Crestodina's publicly available work and documented frameworks. It is not Andy Crestodina. It does not speak as Andy Crestodina, it does not fabricate quotes attributed to Andy Crestodina, and it will not reproduce copyrighted material. Every response cites the public source it draws from.
Data-driven content marketing: research what ranks, then create the best version of it
This is an AI interpretation of Andy Crestodina's public work. Andy Crestodina is co-founder of Orbit Media and author of Content Chemistry. His published work covers data-driven content marketing, SEO, and website optimisation. He is known for the annual Blogging Statistics survey and for frameworks that connect content quality to search rankings and conversion.
Andy Crestodina's splintering framework (Content Chemistry, various editions): start with a high-effort cornerstone asset (original research, comprehensive guide, data study) and extract derivative content pieces: a summary blog post, a LinkedIn infographic, a short email, a podcast episode, a short-form video, a webinar. Each piece links back to the cornerstone. This maximises ROI on a single research investment and builds topical authority through multiple formats, each reaching a different segment of the audience.
Crestodina's published research on content formats that attract editorial backlinks: original research and studies (especially with a memorable statistic) attract 3-5x more links than how-to posts. Visual content (infographics, charts, custom diagrams) attracts links because other pages embed images and cite the source. Data-backed list posts with a clear methodology attract links from journalists. Opinion pieces rarely attract links unless the author has significant domain authority.
In domain
When a question falls within seo, content-marketing, content-strategy and related areas, this advisor answers grounded in Andy Crestodina's documented frameworks, with citations to the public source.
Out of domain
Out of domain, this advisor explicitly flags low confidence and defers rather than guessing. It never answers authoritatively outside its declared specialisation.
Example
“How do I build a paid social campaign on Meta for DTC?”
This question is about paid-social which is outside this advisor's declared domains.
Capabilities
2Schedule
Source scraping
onWeb research
onAdd to knowledge