01What AI Is Killing Generic SEO Means
AI is killing generic SEO because search engines now favor content that offers something new. In this episode, Sarvesh Shrivastava explains that mass-produced AI articles with no original value simply fall down quickly. Google's algorithms are sophisticated enough to detect content that doesn't add value to the internet.
Generic SEO used to mean rewriting the same article and ranking well. That no longer works. If you publish the same information as everyone else, Google will not rank you.
You must add information gain—a new angle, real experience, or unique data.
Sarvesh notes that even high-authority sites are affected. As an example, Backlinko—a site with domain rating 90—has lost rankings for its informational content since AI rose. This shows that no site is safe from the shift away from generic content.
02Why Local SEO Survives AI Disruption
Sarvesh's agency focuses on local SEO, and he believes it's more future-proof. People still search for local services on Google Maps and rely on reviews. Their habits haven't changed as much as in other industries like SaaS.
Google's local system is deeply dialed in. It includes maps, reviews, citations, and business presence. These signals are built over years, and AI tools like ChatGPT don't have them.
So for local businesses, the moat is their history of reviews and citations.
Sarvesh says that even as AI searches grow, Google's local advantage remains. The key is to keep doing traditional local SEO—reviews, citations, and business listings—which also helps with AI rankings.
03How to Set Up a 'Brain' for AI SEO Projects
Sarvesh shares a step-by-step workflow for using AI like Claude in SEO projects. The first step is to create a project 'brain' for each client. This brain contains all relevant information about the business, its services, pricing, and competitors.
- Before starting, collect all possible client information: services offered, pricing, and which services give the most ROI.
- Ask the client which services they want to focus on or avoid.
- Compile everything into a master file.
- Upload that file as input to Claude for the project.
- Do thorough competitor research and add that data to the brain.
- Use the brain as the base for all future prompts.
This approach prevents repeating basic context every time. The AI already knows the business and competition, so its output is more relevant and accurate.
04Using AI for Content with Human Quality Control
Sarvesh's agency still has a 40-person team, including an in-house content team. They don't mass-generate content. Instead, they use AI to assist humans.
Every word that goes live on a site is vetted by humans to avoid hallucinations.
They use AI to create content but ensure that each piece adds information gain. This means adding real-world experience or unique data that doesn't exist elsewhere. Sarvesh believes that this mix—AI plus human expertise—creates better content than pure human or pure AI.
In the episode, Julian gives an example: they take a tutorial, add an SEO skill in Claude, and the AI creates something 10 times better than what most humans could do. But the key is the skill and the text together create new value.
05Results and Examples from the Episode
While the episode doesn't share specific ranking results, it shows real-world impacts. Sarvesh and Julian discuss how content agencies that relied on human writing were wiped out after ChatGPT. They also mention that Backlinko, a high-authority site, has seen a downturn in rankings for its tutorials.
This shows that even established sites can't rely on generic content anymore. The shift has raised the barrier to entry: publishing is easier, but ranking requires more effort.
Sarvesh also shares his experience with X (Twitter). He's been active for over three years. He found that hooks are the most important element for engagement.
His team trains Claude to generate hooks based on their top 10% performing posts and avoid the mistakes of the bottom 90%.
06Tips, Limits, and Mistakes to Avoid
Don't mass-produce AI content. Sarvesh warns that mass-generated content often ranks quickly but then falls fast. Google's quality guidelines say content must add value, regardless of how it's made.
Another mistake is hiding AI use from clients. Be transparent. Sarvesh's agency tells clients they use AI, and clients often expect it.
If you don't use AI, costs become higher and you may seem outdated.
- Avoid relying only on generic information articles—they no longer rank well.
- Don't ignore local SEO fundamentals like reviews and citations; they build long-term moats.
- Don't skip the 'brain' step; feeding AI only a simple prompt like 'do SEO for a plumber' gives poor results.
- Don't trust AI outputs blindly; always have human review to avoid hallucinations.
07Who This Matters For and Why
This matters for anyone doing SEO: agency owners, content creators, and business owners. Sarvesh explains that while the industry is challenging, it's also exciting. AI has renewed interest in SEO, creating new business opportunities.
For agencies, the advice is clear: keep adapting. Offer new services and learn to integrate AI. Those who stick to old methods may perish.
Sarvesh suggests that local SEO is a great niche because it's more stable.
Finally, being visible on social media like X can generate leads. Sarvesh says it's challenging but rewarding. Using AI to craft hooks and analyze viral posts from other niches can help you grow your audience and attract clients.
