From 0 to 1.4K Monthly Visits Using Arvow's AI Content

A brand-new site started from zero traffic and grew to around 1,400 monthly visits, mostly from the US, using Arvow to publish high-quality blog content.

According to Ahrefs-style estimates, that traffic is worth roughly $1,200/month in equivalent Google Ads spend – meaning the organic traffic is not just a vanity metric, it has real monetary value.

On top of that, the site is already being cited in major LLMs (ChatGPT, Perplexity, Gemini, Copilot, etc.), even for queries where it doesn’t rank on page 1 of Google.

All of this was achieved without a huge team, link schemes, or a complex content operation – just a focused content strategy implemented through Arvow.

The Project

• Starting point: New-ish site with no meaningful traffic

• Goal: Get measurable, valuable traffic from:

  • Google organic search

  • LLMs (ChatGPT, Perplexity, Gemini, etc.)

• Constraint: Minimal manual writing time – leverage AI while still keeping quality and SEO best practices

Strategy

The strategy was simple:

1. Focus on blog content that matches search & prompt intent

2. Target high-buying-intent keywords and prompts, not just “traffic for traffic’s sake”

3. Use Arvow to produce SEO-optimized blog posts at scale

4. Structure and interlink content to help both users and machines (Google + LLMs) understand the site

Instead of only chasing classic blog posts, the strategy allowed for multiple content types, including:

• Standard blog articles

• Tutorials and guides

• Comparison pages

• “Alternatives to X” pages

• Listicles

• News-based articles

This mix is what allowed the site to be visible both in Google SERPs and in LLM answers.

Execution With Arvow

1. Understanding What Works (Competitor & Top Pages Analysis)

To reverse-engineer what was already working in the niche, we looked at:

• The site’s top pages by traffic and value

• The positions these pages held in Google

• The type of content used on each page

The pattern was clear:

The pages driving the most traffic were blog posts – not fancy landing pages or tools.

Each successful article followed a simple but effective structure:

• Featured image

• Clear H1 title

• Short intro

• Key takeaways at the top

• Well-structured body with:

  • Quotes

  • Tables

  • Bullet points

  • Internal links

  • External links

  • Occasional embedded videos

Arvow was used to generate this structure out of the box, using its standard SEO article template.

2. Producing High-Quality Blog Content at Scale

The client used Arvow’s SEO article templates to generate articles that:

• Answered specific keywords and prompts

• Included relevant internal and external links

• Included images, headings and sections formatted for readability

• Satisfied search intent (informational, comparison, transactional, etc.)

They didn’t even use custom templates in this case – just Arvow’s classic SEO article formatting with:

• Title

• Intro

• Key takeaways

• Structured sections

• Media (images / videos)

• Links

Despite this “basic” setup, the site quickly started climbing in traffic.

3. Converting Traffic (What They’re Still Improving)

One thing the client hasn’t fully implemented yet, but that we recommend, is a strong conversion layer on the blog:

• Sticky call-to-action (CTA) in the sidebar or header

• Secondary CTA within or at the bottom of the article

• Links from articles to:

  • Product pages

  • Feature pages

  • Lead magnets

On Arvow’s own blog, for example, every post includes:

• A sticky CTA that scrolls with the reader

• An additional CTA lower on the page

• Internal links to relevant features and case studies

This is the next logical step for the client to turn traffic into paying customers.

4. Targeting High-Buying-Intent Keywords & Prompts

Instead of just going after any keyword, the strategy focused on:

• Transactional / high-intent searches

• Queries where a user is likely to buy or sign up after reading

Examples of good intent:

• “Best X alternatives”

• “X vs Y comparison”

• “Best [tool] for [specific use case]”

Examples of low-buying intent:

• “Free [tool] templates”

• “Best free [thing]”

• Ultra-broad informational searches with no commercial angle

Arvow’s keyword workflows were used to:

1. Collect a large pool of keywords and prompts

2. Filter for search intent and commercial value

3. Prioritize topics to write about

LLM SEO: Getting Cited Without Ranking on Page 1

One of the most interesting outcomes from this project is how well the site performs in LLMs, even beyond what’s visible in classical SEO tools.

Research shows that:

• Almost one-third of pages cited in ChatGPT have zero measurable traffic from Google

• LLMs often pull from pages that don’t rank on page 1 for the equivalent keyword

We saw the same pattern here:

• For prompts like “best alternatives to [brand]”, the site was cited or mentioned in LLM answers

• Yet for the equivalent Google keyword, the same page either:

  • Didn’t rank on page 1

  • Or was buried so deep that no human would realistically click

In other words:

You don’t need to rank on Google to be mentioned in LLMs – but having structured, high-quality content massively improves your odds.

This site is benefiting from both:

• Google traffic that shows up in tools as 1.4K visits / $1.2K traffic value

• Additional LLM exposure that is not even counted in those traffic estimates

Results

• Organic traffic: ~1,400 monthly visits (mostly US-based)

• Traffic value: ≈ $1,200/month in equivalent Google Ads spend

• Source: Primarily SEO blog content generated with Arvow’s templates

• LLM visibility: Site is cited in major LLMs, even for prompts where it does not rank visibly on Google

• Technical SEO: No heavy on-site technical optimization yet (Site Optimizer not fully used), so there’s still upside

Importantly, this growth was achieved:

• In a short period of time

• With standard Arvow templates

• Without a massive SEO team

Why This Works

This case study proves a few key points:

1. Blogs are not dead.
   Well-structured blog content still drives meaningful traffic and revenue.

2. LLM SEO is a separate (and huge) opportunity.
   You can be cited and recommended by LLMs even if you’re not ranking top 10 in Google.

3. Template-driven content ≠ low quality.
   When done well (headings, structure, links, images, intent matching), template-based AI articles can outperform traditional content workflows.

4. You don’t need to overcomplicate it.
   A clear content strategy + Arvow’s article engine was enough to go from 0 to 1.4K visits/month and build LLM presence.

How You Can Replicate This With Arvow

Here’s how you can follow the same playbook:

1. Define your niche & audience
   Understand the problems your ideal customer is trying to solve.

2. Collect keywords & prompts
   Use Arvow to generate and cluster keywords and LLM-style prompts.

3. Filter for buying intent
   Prioritize topics where the person searching is likely to buy or sign up.

4. Generate content using Arvow’s SEO templates

   • Add intros, key takeaways, and structured sections

   • Include internal + external links

   • Embed relevant media

5. Add conversion elements to your articles

   • Sticky CTAs

   • In-article CTAs

   • Links to key product/feature pages

6. Expand into other content types

   • Comparisons

   • Alternatives pages

   • Tutorials and guides

   • News-based articles in your niche

7. Optionally, use Site Optimizer
   Let Arvow analyze your site and suggest better titles, descriptions, schema, etc., for even more growth.

Want Similar Results?

This customer used Arvow to go from zero to $1.2K/month equivalent traffic value and to start appearing in LLM answers across the web.

If you’d like to do the same for your site:

Start publishing with Arvow and turn AI-written content into real, compounding traffic from both Google and LLMs.