How content is researched and written here
I publish under my own name, so every article has to earn its place. This page explains the standard: experience-led, people-first, rigorously sourced, and assisted by AI but never written by it.
The short version: if I have not done it, measured it, or sourced it, it does not go on this site. Content here is rooted in real client work and 14 years in the trenches, backed by primary research, and held to the same quality bar Google uses to judge the web. No recycled takes, no paraphrased filler, no AI-written slop.
The content process
Every article moves through the same path, start to finish. It is deliberately slow where it matters.
- 01
Topic & search intent
Every piece starts from a real question a buyer or peer actually asks, and the intent behind it. No topic gets written just because it has volume.
- 02
SERP & competitor benchmark
I study what currently ranks: the format, the depth, the angle, and the gaps. The goal is to understand the bar, not to copy it.
- 03
Deep, primary research
Claims are grounded in primary sources: peer-reviewed and industry research papers, Google Patents, official documentation, and benchmark data from the most trustworthy search brands.
- 04
Information gain & a first-party angle
Then I add what the SERP does not have: original data, first-hand results from real client work, and a genuine point of view. New value, not a rehash.
- 05
Experience & expertise
The piece is written from 14 years of hands-on SEO and GEO and from real-world case studies, the E-E-A-T that a model cannot fake.
- 06
AI-assisted, human-written
AI helps with data research and content engineering. The thinking, the judgement, and the writing are mine. AI never writes the article for me.
- 07
Fact-check & cite
Every figure and claim is verified and linked to a named, checkable source. If it cannot be sourced, it does not go in.
- 08
Publish, then maintain
Articles are kept fresh: facts updated, stats refreshed, and corrections made openly as the search landscape changes.
How I use AI, and how I don’t
I am an AI search consultant, so of course I use AI in my workflow. But there is a hard line between using AI to assist and letting it write. I use it for the first, never the second.
- Research and gather data, then cross-check it against primary sources
- Help structure, outline, and benchmark against the SERP
- Assist with content engineering: tables, formatting, and extractable structure
- Speed up the mechanical work so I can spend time on judgement and originality
- Write the article for me, start to finish
- Invent statistics, sources, or experience
- Produce generic, low-value "slop" to fill a page
- Replace fact-checking, first-hand expertise, or my point of view
The principles behind every article
Experience first
Content leads with lived experience and real case studies, not theory. If I have not done it or measured it, I do not present it as fact.
Primary, trustworthy sources
Statistics and benchmarks come from research papers, Google Patents, and high-trust search brands, attributed and dated. Named sources over anonymous ones.
No plagiarism, no spinning
Zero tolerance for plagiarism or paraphrased, spun content. Every article is original thought, structured and written from scratch.
People-first & HCU-aligned
Content is built for the reader first, in line with Google’s helpful-content principles. Useful, satisfying, and worth your time before it is anything else.
Within Google’s rules
I follow Google’s Search Quality Rater Guidelines and Spam Policies closely, the same standards Google itself uses to judge quality.
Accurate & accountable
Everything is thoroughly researched and fact-checked before publishing. Spot an error? Tell me and I will correct it openly.
Sourcing, originality, and Google’s rules
Benchmarks and statistics are drawn from primary and high-trust sources: peer-reviewed and industry research, Google Patents, and the most credible search brands, each one attributed and dated. I use SERP analysis to understand what is working on Google, but the aim is always information gain: adding something the existing results do not have, from first-party data and experience.
Originality is non-negotiable. There is no plagiarism and no paraphrasing or spinning of other people’s work. And the whole approach is built to be people-first and aligned with Google’s helpful-content guidance, its Search Quality Rater Guidelines, and its spam policies.
Found something off?
Accuracy matters more than ego. If you spot an error, an outdated stat, or a source worth adding, email devendra@serpmonks.com and I will review and correct it. You can read more about me or see how I work with brands.