Keegan Edwards wanted to know if AI content could genuinely rank. He grew his blog from 137 to 981 indexed pages and now pulls 1,500 clicks and 2,300 impressions a month from Google. Here is his exact process.
Keegan walks through his exact process in the video.
Who he is
Keegan Edwards runs a personal site and a handful of businesses. Like most people the first time they try AI content, his question was blunt: does this actually work, or am I about to waste money publishing posts that never rank?
So he tested it, tracked it in Google Search Console, and shared the numbers.
The results
After switching to AI content with a real process, indexed pages jumped from 137 to 981, and Search Console clicks climbed to 1,500 a month off 2,300 impressions.
The process he followed
The key lesson from Keegan: AI content does not rank just because you published it. It ranks when you point it at the right keywords and structure it properly.
Step 1 is the one people skip. Chase keywords that are too competitive and even great content stalls; pick the right, winnable keywords and AI content indexes and climbs, which is exactly what took him to 981 pages and 1,500 clicks.
Not impressions that never convert, actual clicks to the site, distributed across many pages rather than riding on one lucky post.
The question was never "will AI content rank." It was "did you point it at the right keywords." Keegan did, and the clicks followed.
What you can take from it
- 137 to 981 indexed pages and 1,500 clicks a month, all from AI content on a personal blog.
- Keyword selection is the lever: winnable "money" keywords over vanity terms you will never rank for.
- Volume plus structure gets pages indexed; the clicks compound as they mature.
Common questions
Do AI-written blog posts actually get indexed and ranked?
Yes. This blog went from 137 to 981 indexed pages and now pulls 2,300 impressions and 1,500 clicks a month from Google, all with AI content, as long as you follow a real process rather than mass-publishing low-quality posts.
What is the process to rank AI content?
Four steps: find money keywords worth ranking for, create the content with Arvow, publish it, and let it index. The keyword selection is what separates content that ranks from content that just sits there.
How long does it take?
Indexing and early rankings show within weeks of publishing at volume, with clicks compounding as more pages get indexed and mature.
Right keywords, AI content, publish, index. A simple loop that took one blog to 1,500 clicks a month. See how Arvow works.