A brand-new site, starting from zero, grew to around 1,400 monthly visits from the US using Arvow to publish blog content. That traffic is worth roughly $1,200/month in equivalent ad spend, and the site is already cited across ChatGPT, Perplexity, Gemini and Copilot, even for queries where it does not rank on page 1 of Google.
How the site was diagnosed, built and cited in LLMs.
Small numbers, real value
Fourteen hundred visits does not sound dramatic until you price it. These are US searches with buying intent, worth about $1,200 a month to rent through Google Ads.
And the site got there from nothing, with no big team, no link schemes and no complex content operation, just a focused strategy run through Arvow.
The part people miss: LLM citations without Google rankings
Here is the surprising bit. Almost one third of the pages cited in ChatGPT have zero traffic from Google. You do not need to rank on page 1 to be recommended by an LLM.
A well-structured article that matches the prompt can get cited even when no human would ever find it in classic search. For a brand-new site, that is a way in long before Google rankings arrive.
have zero Google traffic. LLMs crawl and cite pages that don't rank at all in classic search, which means a new site can earn AI recommendations long before it earns Google rankings.
You don't need to rank on Google to be cited in ChatGPT. It helps, but you don't need it.
The results
- From 0 to ~1,400 monthly visits, mostly US
- Worth about $1,200/month in equivalent ad spend
- Cited in ChatGPT, Perplexity, Gemini and Copilot
- Achieved with a focused content strategy, no link schemes
Starting from scratch? Arvow is built for exactly that.
Common questions
Is 1,400 visits worth writing a case study about?
The point is not the volume, it is the value and the trajectory. This US traffic is worth about $1,200/month in ad spend, it grew from zero, and it is already earning AI citations. The curve matters more than the current number.
How can a site be cited in ChatGPT without ranking on Google?
LLMs crawl and cite pages based on how well they answer a prompt, not their Google position. Ahrefs found roughly a third of ChatGPT-cited pages have zero Google traffic. Good content can be recommended before it ever ranks.
What kind of content did they publish?
Standard SEO blog posts built around buyer-intent keywords, using Arvow's default template. No custom templates, no backlink campaigns, just consistent intent-matched content.
How do I make traffic actually convert?
Build conversion into the articles: sticky calls to action, internal links to product and feature pages, comparisons and alternatives content. Traffic is only useful if it turns into signups or sales.
