Research with AI
Clustering, competitor gaps, question mining. Fast, broad, and checked before it is acted on.
AI Creative · Delhi NCR & remote
If nobody will put their name on it, it does not publish.
AI drafts quickly and states plausible things confidently. Those two properties together are why unedited AI content is both cheap to produce and expensive to have published under your name.
Short answer
AI content creation uses language models to research, outline and draft written content, which a person then rewrites, fact-checks and publishes under their name. Google’s position is that it rewards helpful content regardless of how it was produced, while its spam policies target content generated at scale to manipulate rankings.
AI drafts, a person rewrites
Every fact checked
Named reviewer on every page
Never bulk-published
Free content review
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01 The premise
Confidently wrong is the problem.
The failure mode of AI writing is not bad prose. Modern models write fluently. The failure is that they state things which are plausible and untrue with exactly the same confidence as things which are true — a date, a statistic, a platform behaviour, a legal requirement. There is no signal in the text distinguishing the two.
That matters commercially because the errors cluster precisely where credibility lives: numbers, specifics, and claims about how something works. A page that is fluent and wrong about a technical detail damages trust with exactly the readers who knew enough to notice — which are frequently the ones who would have bought.
So the workflow that works is not "generate and publish", nor is it "refuse to use it". It is AI for research, clustering, outlining and first drafts, then a person who rewrites, verifies every specific claim against a source, decides what to leave out, and puts their name on it as reviewer. The saving is real; it is just smaller than the tools imply.
02 Policy
What Google actually says.
Worth reading directly rather than through the industry’s interpretation of it.
The policy position
- AI content is not banned. Google’s stated position is that it rewards helpful content however it was produced.
- Scaled content abuse is targeted. Its spam policies address content generated at scale primarily to manipulate rankings — which describes a common AI workflow exactly.
- The test is helpfulness. Does the page genuinely serve the reader. That direction predates AI and has not changed.
- Experience is weighted. First-hand experience is part of Google’s stated quality guidance, and it is the one thing a model cannot supply.
- Attribution matters. A named author and reviewer with genuine credentials — cheap to provide, and increasingly relevant across search and AI answers alike.
03 Straight talk
Where AI helps, where it hurts.
Both columns from doing the work rather than from a position.
Genuinely useful
- Research and clustering. Grouping thousands of keywords by intent. Transformative, and low risk.
- Competitor analysis. Reading a large site and reporting what it covers and omits.
- Outlining. A structural first pass that a person then argues with and reorders.
- First drafts. A starting point, on the understanding that almost none of it survives.
- Repetitive text at volume. Meta descriptions and alt text, reviewed rather than trusted.
Actively harmful
- Facts and figures. Stated confidently, frequently wrong, and clustered where credibility matters most.
- Your specifics. Prices, process, timelines. It will invent something reasonable-sounding.
- Opinion and judgement. What to leave out, and what your customer actually fears. It has access to neither.
- Bulk publishing. Volume without editing is exactly the pattern spam policies target.
- Anything unverified. If nobody checked it, nobody should publish it.
Free content review
Check three numbers in your own content.
Pick any three specific claims on your site and verify them. If AI wrote it unsupervised, at least one will usually be wrong — and the fluent ones are the hardest to spot.
- Facts checked, not just style assessed
- You keep the findings either way
- An honest answer, including "this is fine"
- Same-day reply, all 7 days
Free review
Get a free quote
Four details, and a real reply today.
04 Workflow
The workflow, stated so you can hold me to it.
This is what I actually do, and what you should require of anyone writing for you.
Outline, then argue with it
A structural draft, reordered and cut against what customers actually ask.
Draft, then rewrite
What gets published shares very few sentences with the first draft. That is the point.
Verify every specific
Numbers, dates, claims, prices, platform behaviour — each checked against a source. The step everyone skips.
Sign it
A named author and reviewer with a real date. If nobody will put their name on it, it does not publish.
— Questions
AI content — your 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 to manipulate rankings. Unedited bulk publishing is at risk; carefully edited AI-assisted work is not.
For research, clustering, analysis and first drafts, yes. Everything published is rewritten by me, fact-checked against sources, and carries my name as reviewer. I say so openly, because charging for human writing and delivering generated text would simply be dishonest.
Yes, and plenty does. The failure mode is not detection but 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.
Check the facts, because 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 constraints, no opinion. Both are reliable tells.
Research and analysis, substantially. Genuinely good published content, marginally at best, because the expensive parts were 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 correct — which is the question a reader and an engine are both actually asking.
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Draft it fast. Then check it properly.
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 actually needs changing.
- Facts checked against sources
- A named reviewer on every page
- AI for research, a person for the writing
- You keep the findings either way
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