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Research-backed drafts
Every article starts from real search demand and competitor gaps, not a blank prompt, so it targets a question people actually ask.
Service
AI-assisted, human-reviewed articles that front-load a concrete answer, so they can rank on Google and earn citations in AI answers.
How it works
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Every article starts from real search demand and competitor gaps, not a blank prompt, so it targets a question people actually ask.
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We put a concrete, checkable answer in the first paragraph, where around 44% of AI citations come from, then structure the rest with clear headings and lists.
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A person reviews every draft for accuracy, usefulness, and brand fit before it is delivered or published. AI assistance is fine; low-value content is not.
What you get
Written to a single search term, placed in a topic cluster, with a meta description and internal links already in place. Not a word count padded to look substantial.
A number, a price or a range that someone can verify. Kevin Indig's analysis of 1.2 million AI answers and 18,012 verified citations found roughly 44% of ChatGPT citations come from the first 30% of a page.
Structured so a section can be lifted whole into an answer. This is also what generates the FAQ schema that lets Google and the assistants parse the page.
Nothing is published without your sign-off. You are the publisher, so the accuracy of every claim is checked before it goes out, not after someone complains.
Connected strategy
Google's own position is that AI-assisted content is fine as long as it is genuinely useful, so the edit and the front-loaded answer are what separate a page that ranks from generic AI slop. It runs on the topics from keyword research and Reddit research. Read how we got a page cited by ChatGPT within one month from a DR 0 start.
Last updated .