We use AI for
Keyword clustering, SERP pattern analysis, draft QA, readability scoring, internal link suggestions, schema generation, competitor content gap analysis.
Google still sends a lot of traffic. Classic SEO still matters. But the rules have shifted a lot in the last two years. AI SEO is how we do SEO now, with AI in the research and QA process, and with pages written for how modern search actually retrieves content.
There are two different things people call AI SEO, and we do both.
The first is using AI in our own process: faster keyword research, better topical clustering, smarter content briefs, automated draft QA. This doesn't mean we let a model write your articles, it means we use models to do the boring parts so our writers can spend their time on craft.
The second is making your site rank well in a world where Google uses AI to understand pages. Thin content, spun articles, keyword-stuffed paragraphs, all of it got a lot less effective in the last eighteen months. What ranks now is pages that show real expertise, answer a specific question, and sit inside a tight topical cluster.
Our AI SEO work covers both, the process and the output.
We're not shy about using AI. We're also not lazy about it. Here's exactly where models help and where humans still run the show.
Keyword clustering, SERP pattern analysis, draft QA, readability scoring, internal link suggestions, schema generation, competitor content gap analysis.
Writing published content. Strategic calls. Client reporting commentary. Anything that requires taste, judgement or a real point of view.
We ship faster than manual-only agencies and cleaner than AI-only ones. Writers get better briefs, strategists get better data, and you get work that actually reads like a human wrote it.
Hub-and-spoke content architecture mapped to buyer intent, not random keywords.
Four to ten new pages a month, depending on scope. Written by domain-aware writers, reviewed for quality, published on your stack.
Older pages that underperform get restructured, rewritten or merged. Often moves the needle faster than publishing new pages.
Core Web Vitals, schema, internal linking, XML sitemaps, crawl budget, redirects. Boring work that matters a lot.
Editorial placements in real publications your buyers actually read. No PBNs, no spammy tactics.
A monthly write-up that tells you what moved, what didn't, and what we're doing about it. No 40-slide dashboards.
The output looks similar, rankings, traffic, conversions. The process is different: AI in the research and QA loop, and content written for how modern search retrieves pages rather than for 2018-era keyword density.
Most brands benefit from all three, but the order depends on where you are. If Google traffic isn't working yet, start with AI SEO. If Google is fine but you're missing out on AI Overview citations, add AEO. If you sell to buyers who research on ChatGPT and Claude, add GEO.
No. That's the whole point. We use AI for research and QA, not writing. Our writers are humans based in India with category experience.
Three to six months for meaningful movement on competitive terms. Faster on long-tail and branded queries. We show you leading indicators every month so you're not flying blind.
Send us your domain. We'll send back a one-pager on where your SEO is leaking traffic and what to do about it.
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