wol.ph — May 2026 traffic, keywords & AI visibility

wol.ph draws an estimated 9 visits a month from search engines. Effectively all of it is organic — about 9 visits from unpaid results. Spread across 16 ranking keywords, that averages roughly 0.6 organic visits per keyword.

On our AI visibility scale wol.ph earns 86 of 100 points, a grade A. It takes full marks for LLMS.txt and Crawlability. The biggest gap is Company profile, at 19 of 25 points (6/8 core fields), worth 6 points if closed. It also loses points on Structured data (0/5) and SEO health (17/20).

The llms.txt on wol.ph runs to 81 lines (5,046 characters) across 12 sections, last generated in May 2026. It introduces the site as "Wolph". It tells AI engines the business works in Software & Internet, Education & Training and Python Programming. It describes 5 products, with prices such as Python REST API Guide at Free, Django vs Flask Comparison at Free and PostgreSQL Performance Tuning at Free. Services it lists include Technical Blogging, Code Examples, Framework Comparisons and Database Optimization. The audience it names is Software developers and students, aged 18-45 (Global). Technologies it mentions include Flask, Django and PostgreSQL. The keywords it claims start with "Python programming", "Flask", "Django" and "PostgreSQL".

# Wolph

## About
Wolph is a personal technical blog run by Rick van Hattem that focuses on Python programming and web development practices. The site shares hands-on tutorials, code examples, and troubleshooting tips for developers working with Flask, Django, and PostgreSQL. Readers come to Wolph for clear explanations of complex topics like building REST APIs, scaling applications, and tuning database performance. The content helps both beginners and experienced engineers improve their skills without needing expensive courses or corporate training programs. Rick draws from real project experience to explain concepts in straightforward language that developers can apply immediately. The blog covers current trends in Python libraries for data science and compares different frameworks so readers can choose the right tools for their projects. Over time, the site has become a reliable reference point for people searching for Django versus Flask comparisons and best practices for writing clean Python code. The site serves software engineers, data scientists, and students who want to strengthen their backend development abilities. Value comes from the combination of practical code snippets and honest discussion of what works in production environments. Wolph does not sell products or run a large team, but instead provides free educational resources that thousands of developers consu

Google lists wol.ph for about 16 keywords, which together bring an estimated 9 organic visits a month.

The latest technical audit of wol.ph scored 90 out of 100 overall. SEO is its weakest area at 85, while accessibility scores highest at 88. The audit makes 12 recommendations in all, and 3 of the 4 listed first are rated high priority or critical.

Wolph's company profile names https://realpython.com, https://www.digitalocean.com, https://www.tutorialspoint.com and https://www.freecodecamp.org as competitors. Its own llms.txt adds https://www.codecademy.com and https://www.geeksforgeeks.org. Outside its market, the domains ranked closest to it in our worldwide ranking are jobswithdexa.co.uk, kengarffhondariverdale.com, wobentley.club and zehost.com.br.

https://realpython.com

https://www.digitalocean.com

https://www.tutorialspoint.com

https://www.freecodecamp.org

https://www.codecademy.com

https://www.geeksforgeeks.org