Research with AI
Clustering, competitor gaps, question mining. Fast, broad, and checked before anything is acted on.
AI & Next-Gen Search · Delhi NCR & remote
AI makes some SEO work dramatically faster and some SEO work dramatically worse. Knowing which is which is most of the skill, and getting it wrong is visible from the first paragraph.
Short answer
AI SEO means using AI tools inside the SEO workflow — keyword clustering, competitor analysis, data processing, outlining, first drafts — while keeping human judgement on facts, editing and publication. Google’s position is that AI-generated content is acceptable when it is genuinely helpful; unedited bulk AI content is exactly what its spam policies target.
Four details. A real reply the same day, from me.
01 The premise
AI is genuinely transformative for a specific part of this job: anything involving volume, pattern and structure. Clustering four thousand keywords into intent groups used to take days and now takes an hour. Reading a competitor’s two hundred pages to find what they cover and you do not is now practical rather than theoretical. Turning a messy crawl export into a prioritised list is trivial.
It is much weaker at the things that decide whether content works: knowing what a customer is actually worried about, having an opinion worth reading, and being accountable for a fact being true. Those are not stylistic weaknesses that a better prompt fixes. They are consequences of the tool having no experience of your business and no stake in being wrong.
So the division I use is simple and I state it publicly. AI does research, clustering, analysis, outlining and first drafts. A person — me — rewrites, checks every fact, decides what to leave out, and puts their name on it as reviewer. If a page is not worth my name being on, it is not worth publishing on your site.
02 Straight talk
Both columns from doing the work, not from a policy position.
03 Policy
Worth reading directly rather than through the industry’s interpretation of it.
Free content review
Send me three pages. I will tell you whether they read as generated, whether the facts hold up, and what would have to change — which is usually less than a rewrite.
Four details, and a real reply today.
04 Workflow
The workflow, stated so you can hold me to it.
Clustering, competitor gaps, question mining. Fast, broad, and checked before anything is acted on.
A structural draft, then reordered and cut against what your customers actually ask.
A first draft is a starting point. What gets published shares almost no sentences with it.
Numbers, dates, claims, prices and platform behaviour checked against a source. This is the step that gets skipped everywhere else.
A named author and reviewer, with a real date. If nobody will put their name on it, it does not go live.
— AI & Next-Gen Search
These sit next to AI SEO and are usually bought with it. Same person doing the work in each case.
Be the answer, not result #7.
Read moreHow answer engines actually pick.
Read moreGet cited by ChatGPT and Gemini.
Read moreThe method, explained in full.
Read moreAI Overviews, Perplexity, Copilot.
Read more— Questions
Straight answers, including the ones that cost me work. If yours is not here, ask it — I reply the same day.
Not for being AI-generated. Google’s stated position is that it rewards helpful content however it was produced, while its spam policies target content generated at scale primarily to manipulate rankings. In practice that means unedited bulk AI publishing is at risk and carefully edited AI-assisted work is not.
I use it for research, clustering, analysis and first drafts. Everything published is rewritten by me, fact-checked against sources, and carries my name as reviewer. I tell clients this openly, because the alternative — charging for human writing and delivering generated text — is simply dishonest.
Yes, and plenty does. The failure mode is not detection, it is quality: generated content tends to be generic, occasionally wrong, and free of the specifics and opinions that make a page worth citing. It ranks until something better exists, which on any commercially interesting topic is soon.
Check the facts. Generated content states plausible things confidently, so errors cluster around numbers, dates and specifics. Also look for content that is fluent but says nothing you could not have guessed — no prices, no process, no opinion, no constraints.
It has made research and analysis much cheaper and made genuinely good content marginally cheaper at best, because the expensive part was always judgement and verification. Anyone offering dramatically cheaper content because of AI is passing on the saving from the step they stopped doing.
Google does not require it. I think naming a human author and reviewer is the more useful signal, because it says somebody is accountable for the content being right — which is the actual question a reader or an engine is asking.
Free consultation · No obligation
Send me three pages of your content. You will get an honest read on whether it reads as generated, whether the facts survive checking, and what would actually need to change.
Name, number, email, what you need.