The content engine behind +400% conversions. Built for Hatchbox.
We audited your domain, your AI-search visibility, and the keyword territory your competitors are winning. Below is what we’d ship in the first 90 days — grounded in your numbers, not a template.
We pulled this from your home page, pricing, and blog before running the rest of the analysis.
Ideal customer
Small-to-medium Rails, Ruby, and Node.js development teams looking for a cost-effective, managed deployment alternative to centralized PaaS platforms like Heroku.
Core offer
Hatchbox manages and provisions your own cloud servers so you can deploy Rails, Ruby, and Node.js applications with zero-downtime deployments, SSL, databases, and cron jobs — without the DevOps overhead.
Headline value
Deploy to your own infrastructure at a fraction of the cost of Heroku, with a flat $10/server/month pricing model and unlimited apps per server.
Now let's see how visible Hatchbox actually is when developers ask AI for deployment recommendations.
AI search visibility
When buyers ask AI about your category, what does it say?
We ran 8 buyer-style prompts across 5 AI-search surfaces. Below: where Hatchbox shows up, and where a competitor wins the answer instead.
29%
Your share of voice
3% citation rate
83%
heroku.com share of voice
Across the same prompts × surfaces
25/40
prompts × surfaces where you’re absent
Each one is a buyer hearing about someone else
Prompt
ChatGPT
Gemini
Claude
Perplexity
AI Overview
What's the best managed deployment platform for Rails apps that lets me use my own cloud servers instead of paying Heroku prices?product recommendation
I have a small Node.js team and we want to deploy to our own infrastructure without hiring a DevOps person. What tools should we look at?product recommendation
How does deploying Rails apps on your own servers with a managed provisioning tool compare to staying on Heroku in terms of cost and flexibility?comparison
What are the differences between managed PaaS alternatives like Render, Railway, and self-server deployment tools for Ruby on Rails apps?comparison
We're a 5-person Ruby dev team spending $300/month on Heroku dynos and our costs keep growing. How can we reduce hosting costs without taking on a bunch of server management work?problem solving
I need zero-downtime deployments, managed SSL, and database backups for my Rails app but I don't want to learn Kubernetes or set up CI/CD pipelines from scratch. What are my options?problem solving
What's the current best practice for small Rails teams that want to own their infrastructure but avoid the complexity of manual server provisioning and deployment pipelines?industry expert
As someone running multiple Ruby and Node.js side projects, what does the modern deployment stack look like if I want flat predictable pricing and full control over my servers?industry expert
Primary recommendation
Mentioned secondarily
Not mentioned
No data
Click any dot with a run count to inspect the captured AI answers, cited URLs, and highlighted mentions behind that result.
Who buyers hear about instead
Every company the captured answers named, ranked by share of voice (answers that mention them / answers captured).
Herokuheroku.com
83%60/72
DigitalOceandigitalocean.com
64%46/72
Hetznerhetzner.com
51%37/72
Renderrender.com
50%36/72
AWSaws.amazon.com
39%28/72
Kamalkamal-deploy.org
39%28/72
Dockerdocker.com
33%24/72
Fly.io
29%21/72
GitHubgithub.com
29%21/72
Dokkudokku.com
25%18/72
What gets cited
Domains behind the URLs cited in these answers (75 citations captured).
Domain
Citations
hatchbox.iosite 3
3
reddit.com
28
render.com
13
digitalocean.com
8
fly.io
7
deployhandbook.com
6
northflank.com
6
coolify.io
4
The market signals below explain why this visibility gap matters right now.
Here's the size of the opportunity sitting inside that landscape.
The opportunity, sized
What the analysis is actually worth.
Demand we already measured around Hatchbox’s category — before any new positioning, distribution, or AI-search work.
3,662,100
Monthly searches in the gap territory
2,421 keywords your competitors rank for, you don’t
$30,761,640
Annualised paid-traffic value of those gaps
Sum of (monthly searches × CTR × CPC) × 12
51
AI-search responses that don’t mention you
Across 5 surfaces, 8 prompts; repeated probes included
AI search
…is the new SEO
AI-search surfaces (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews) now serve a meaningful share of buyer research traffic for developer tools, and that share is still growing. Absence from these surfaces compounds — every quarter a competitor is the default answer is a quarter of pipeline you’re not in the room for.
Next, the specific keyword territory where competitors are capturing that demand instead.
Keyword gap map
Where your competitors rank and you don't
Top 15 of 2,421 keywords where heroku.com, render.com, fly.io rank and you don’t. If there are no valuable keywords in this space, that is great news for you!
Knowing where the gaps are is one thing — here's what closing them actually looks like.
Curious what this looks like for you in 90 days?
30 minutes to align on the first 30 days of content, AI-search targets, and the keyword territory we’ll go after first.
14-day money-back guarantee.
Content health
How the content engine is performing today.
The content program scored 24/100 overall, driven by near-absent blog depth (7/100, averaging just 79 words per post with only 4% containing code samples) and zero LinkedIn activity over the trailing 90-day window. Blog publishing cadence was low at 4 posts in 90 days (40/100), and the posts that do exist lack the technical substance needed to support meaningful organic or social distribution.
Publishing cadence
40
/100
4 posts in last 90 days
Technical depth
7
/100
Avg 79 words · 4% with code
LinkedIn cadence
—
No LinkedIn page detected
AI-generated signal
—
GPTZero scan not available
Overall
24/100
Weighted over the signals with enough evidence.
Blog cadence
Posts per period
LinkedIn engagement
Last 90 days · 0 posts
Avg reactions
0
No data
Avg comments
0
No data
This isn't theory — here's what the same approach has produced for comparable teams.
Results
What this looks like in production.
Two recent engagements where the same machinery we’d run for you has already shipped — with independent measurement, not vendor marketing language.
AppSignal
APM / Observability · ~30-person SaaS DevTool
5×
per-visitor conversion
0.21% → 1.05% — tier-1 rate for B2B developer content
6×
per-post efficiency
0.013 → 0.079 paid signups per post per 90 days
3 months
to measurable results
engagement Feb 2026 → 24-post cohort shipped Mar–Apr 2026
AppSignal's pre-existing 973-post catalog converted at 0.21% per-visitor signup intent. The Literally cohort hit 1.05% across just 24 posts — a 5× lift on the same audience. The format the prospect is reading right now is the same format that produced that result.
“Literally's content converts visitors to signup intent at 5× the per-visitor rate of the prior catalog and produces 6× more paid signups per post.”
— Content & SEO Report, Mike, AppSignal CMO
“Per-visitor conversion on their published cohort is 1.05% — that's a tier-1 conversion rate for a B2B developer-content blog.”
— Content & SEO Report, Mike, AppSignal CMO
QA.tech
AI testing / DevTool · Seed-stage, developer-facing
4.4×
AI search mentions
plus 2× citations — measured across LLM surfaces
2×
organic reach
doubled inside 5 months of Literally taking over publishing
8 / mo
posts, zero gaps
up from inconsistent in-house cadence; fully managed end-to-end
QA.tech tried managing technical content in-house — engineers spent spare time writing, publishing was inconsistent, and AI-generated drafts underperformed under Google's ranking updates. Three months after handing the program to Literally: cadence stabilized at 8 posts/month with zero gaps, organic reach doubled inside five months, AI search mentions jumped 4.4×, and two product launches landed at the top of Product Hunt and trending on HackerNoon.
“Literally is a true partner, replacing an in-house team of content marketers. They are offloading us from all the content operations and have proven to be very reliable during our product launch.”
— Daniel, QA.tech CEO
“1. You actually listen instead of coming in with opinion first.
2. When needed you do have an opinion, and those are actually useful.
3. You care about the quality and take care to protect/deliver it.
4. You're expanding your services really well, that's helpful.
I worked with 5-8 content/marketing agencies and you guys are the best experience I ever had.”
— Chris, QA.tech Head of Marketing
Featured by Product Hunt — Vercel Day winner announcement
Straight from the people who run content with us — unscripted, in their own words.
Antonija — Content Lead, AviatorArmend — Founder, GlassFlowChris — Head of Marketing, QA.tech
Four reasons those outcomes repeat, not just for them but for teams like yours.
Why us
Four reasons we keep winning.
Founder-voice content
Every piece runs through a senior writer who sounds like an engineer, not a marketer. Your audience knows the difference within two paragraphs.
AI-search native
We build for ChatGPT, Gemini, Claude, and Perplexity as primary surfaces — not just Google. The same machinery that audited you above runs in our editorial process.
Technical writers who understand the product
No "we'll need a brief from your engineers" overhead. We read your changelog, run your tool, and write from real usage. Drafts arrive ready for review.
Distribution, not just publishing
Most content agencies stop the moment a post is live. We don't. Every Growth and Scale engagement includes promotion into the large publications and newsletters your buyers already read — not your job to chase placements.
Here's what consistent execution on this model compounds into for Hatchbox specifically.
Projection
What this looks like for you, in numbers.
AppSignal's published cohort delivered 5× per-visitor conversion and 6× per-post efficiency vs. their prior catalog in 3 months. Below: what that translates to for Hatchbox in new customer signups and recurring revenue.
Inputs: existing traffic converts at 0.23% — a 10% lift on the assumed baseline of 0.21% via CTA + presentation tweaks; 2,500 new monthly visitors from Literally articles convert at 1% (our cohort baseline). Both run into 10% trial-to-paid, a $30/mo retainer, and a 24-month average customer lifetime. Headline reflects the recurring monthly LTV at steady state; held flat from month 3.
Month 1
Kickoff + first posts
We agree on tone, lock the 90-day editorial calendar for Hatchbox, stand up the publishing workflow, and start shipping posts in month one.
Month 2
First cohort expands
Two to five posts are live, indexed, and shared in the agreed distribution channels.
Month 3
Measurable lift
Early ranking + AI-search signal on render. First conversions traceable to the cohort.
Month 4
Compounding cadence
Backlog of evergreen posts builds; we start optimising the highest-performing pieces for AI-search citation.
Month 5
Distribution expands
Promo placements in 3rd-party publications + newsletters; AI-search mentions enter the regular reporting cadence.
Month 6
Format becomes the engine
Per-post efficiency and AI-search visibility start outperforming the legacy catalog by a measurable multiple.
Below, the operating model that makes each of those numbers land.
How we work
Clear lines, no ambiguity.
We handle
•Editorial strategy, calendar, and quarterly retros
•Writer + editor staffing and ongoing development
•Drafting, fact-checking, and SEO/AEO optimization
•Publishing into your CMS on the agreed cadence
•Distribution into partner publications and newsletters
•Monthly reporting on rankings, AI-search visibility, conversions
You handle
•A 30-min weekly review (async by default, sync if needed)
•Engineering review of any deep-technical drafts
•Final approval on launch posts and pricing-adjacent content
•CMS access + brand guidelines
Risk reversal
14-day money-back guarantee
If, within the first 14 days, you decide the partnership isn’t working, we refund the engagement fee in full. No questions, no procedure.
•Full refund of the first invoice if cancelled within 14 days
•You keep every draft, brief, and asset produced in that window
•No long-term contracts — month-to-month after the first 14 days
Why we do this
Because we only want to keep clients who feel the work pays for itself in month one. Carrying a sceptical client serves neither of us.
Pricing
Month-to-month after the first 14 days.
Starter
$3,600 / mo
✓We handle publishing
✓Shared Slack channel
✓Content production pipeline and platform setup
✓SEO optimization
✓AEO optimization
✓Dedicated Editor
✓Dedicated Designer
Growth
$6,900 / mo
Everything in Starter plus:
✓Distribution
✓Promo in large 3rd-party publications and newsletters
✓100% human content
Scale
$11,900 / mo
Everything in Growth plus:
✓Access to content dashboards and competitor data
✓Monthly workshop and strategy session
We know what ramen tastes like.
Toggle this if your company makes under $2m ARR to get 30 % off.
Let’s do this
Pick a 30-minute slot. We’ll bring the data.
We’ll walk through the audit live, align on the first 30 days of content, and ship a sample brief within 72 hours of the call.
