r/Agentic_SEO

Me and my friend landed a potential client — a private university in India. We need advice on pricing.

Current state of their website:

• 18-year-old domain, completely untapped
• 90% of pages not indexed by Google
• 98% branded traffic, zero organic traffic
• No schema, no sitemap, no mobile optimisation
• Important content buried in PDFs
• Messy URL structure, no on-page SEO at all

What we plan to do:

• Full technical SEO audit + fixes
• Complete website redesign (mobile-first)
• 40–60 pages of SEO + AEO + GEO optimised content
• Schema markup, internal linking, content clusters
• PDF to webpage conversion
• GSC + Bing Webmaster setup
• CMS templates for their team

Our situation: Two-person team, both under 2 years freelancing, handling everything ourselves. Timeline is 6 months to 1 year.

Our questions:

1. What's a fair price for this in the Indian market?
2. Are we missing anything important in our scope?
3. How should we structure payments across 6–12 months?
4. Should AEO and GEO be separate line items or bundled?
5. Any red flags with university clients?

Would love input from anyone who's done education SEO or large website rebuilds. Thanks!

For AI visibility tracking, what metric do you trust most?

Did you buy a separate AI visibility tool, or do you use it inside an all-in-one SEO platform?

What did you choose and why?

Instead of asking for a full article with one prompt, I give the AI:

• Basic info about the topic
• Competitor article links for reference
• Target keywords I researched
• Audience reading level / English grade
• Broad heading structure (H1/H2/H3)

Then I use the output as a draft and manually edit it afterward.

This gives me more relevant and readable content than generic prompts.

Anyone else using a similar workflow?

AI traffic analytics

I did a super detailed audit of our new landing page to see how AI agent ready it was. Scored 9/100 (it's two weeks old website so no feelings hurt).

So I spent an afternoon fixing all the issues on the audit report. Then one day we got this spike in AI traffic and it continued for the days after.

I'm still monitoring whether these agent visits can bring us actual human users. But seeing the chart move that fast off a few hours of work is pretty incredible! Wow

Checklist of what I fixed:

1. AI Accessibility
   • Publish a robots.txt that explicitly allowlists major AI bots (GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, CCBot)
   • Add a Content-Signal directive and a sitemap reference inside robots.txt
   • Serve a sitemap.xml with lastmod on every URL
   • Publish llms.txt (short) and llms-full.txt (comprehensive), per llmstxt.org
   • Add an AGENTS.md to guide coding agents through your product
   • Render pages server-side, not as a client-only SPA (SPAs return blank HTML; agents read HTML, not JavaScript)
2. Brand Identity
   • Embed sitewide JSON-LD Organization + WebSite schema (name, url, logo, description)
   • Match the brand string exactly across <title>, og:title, and Organization name (inconsistencies split your brand authority across duplicates)
   • Ship full Open Graph + Twitter Card metadata
3. Content Readability
   • Write real semantic HTML sections with proper headings and body text (agents can only quote what they can parse)
   • Load web fonts with display: swap
4. Quotability
   • Embed FAQPage JSON-LD wherever you have Q&A content
   • Chunk content into structured blocks (easier for agents to lift quotable snippets)
5. Platform Fit
   • Combine your AI bot allowlist, Content-Signal, llms.txt, and FAQ schema to cover per-platform signals
6. Site Hygiene
   • Set <link rel="canonical"> on every page
   • Include meta description, keywords, and authors
   • Ship a full favicon set (favicon.ico, apple-icon, 192px, 512px)
   • Configure robots directives (index, follow, max-image-preview: large)

If you want to check your website's AI readiness, try our audit tool at agentraffic.com

Are you focusing more on:

• Entity SEO?
• Brand authority?
• Structured data?
• First-hand expertise?
• Long-form editorial analysis?

What’s actually working right now?

\*Is anyone else tracking AI visibility separately from traditional SEO?\*

\*I've noticed my clients rank well on Google but barely get mentioned when someone asks ChatGPT the same question. Started monitoring this manually and the gap is significant.\*

\*How are you handling AI search visibility for your clients? Any tools or processes you've built?\*

What actually worked for you in SEO when starting from 0?

Fully organic. No paid ads, no audience.

Was it mostly blogs?
Or something else entirely?

Curious what got people their first real traffic/customers:

• content?
• backlinks?
• niche sites?
• Reddit?
• free tools?
• programmatic SEO?

What would you do again? and what was a waste of time?

Hi guys, before saying I am giving wrong prompt, I give very critical prompt precisely that any guy on YT or others recommend and sometimes I use these ai agents itself to create prompt, and also ask to not to do sychophancy. But problem is, it always changing and agreeing with me, giving wrong illogical responses, making it's own strategy which is most time wrong, and not analyzing correctly. Basically after using Claude I found it always gave me very bad response. Please let me know how you guys using Claude for SEO and getting huge traffic jump and improving your rankings!

been running agentic workflows on a few projects over the past several months and the, pattern that keeps showing up is that the niche matters way more than the tooling. in high-volume, repetitive work like large ecommerce catalogs or programmatic content, agents are consistently faster, and more scalable than any human team i've worked with, at least for the right tasks. keyword clustering, metadata at scale, page audits, monitoring and triggering updates. in my experience all of it runs cleaner when you reduce the human bottleneck on execution. the speed difference is real, not just vendor hype, though results do depend heavily on data quality and how well your CMS or API layer is set up. but then i tried leaning on it harder in a more brand-sensitive niche and it got messy pretty quickly. the agent was doing technically correct things but missing positioning nuance, specifically brand tone and intent alignment, that a decent strategist would catch in five minutes. and in 2026 that gap matters more than it used to. search is no longer just rankings. AI Overviews, assistants, social, forums, all of it shapes discovery now, so brand voice and entity reputation carry real weight. an agent that optimizes cleanly but drifts off-brand can quietly do damage that's harder to measure and slower to fix. so the honest answer is that agentic SEO doesn't beat humans across the board, it beats them in specific lanes. high-volume execution, yes. brand strategy, positioning, complex B2B judgment, still needs a human in the loop. the best setups i've seen are human strategy driving agent execution, not one replacing the other. curious whether others are finding a clear dividing line in their own work or if it's blurrier depending on how the agent stack is configured.

Quick background: I run a startup. We were doing the standard SEO playbook — keywords, backlinks, on-page stuff. It worked okay. About two weeks ago I shifted our focus to what people are calling GEO, and the traffic pattern changed in a way I didn't expect. We picked up around 2K new users, and when I dug into the referral data, roughly 40% came through ChatGPT-connected searches. I can share analytics if people want proof — not trying to flex, genuinely was surprised.

So what is the difference between SEO & GEO?

SEO is keyword-driven. You match what people type into Google.

GEO is a different game. It's about understanding how people query AI tools — which is way more conversational and intent-driven than a Google search. Nobody types "best project management tool 2026" into ChatGPT. They say something like "I'm managing a 5-person remote team and need something lightweight, what should I use?"

The mental model that clicked for me: every product is basically competing in a speech contest inside the AI model. The one the model trusts most gets recommended. Keywords don't win that contest — authority and clarity do.

The thing most people miss

About 90% of ChatGPT and Gemini users are on the free tier. Free-tier users rely heavily on web search — meaning the AI pulls from live web results to generate answers.

Here's the key: you can't really control what the model "knows" from training data. But you can influence what gets pulled in during web-connected search. And from what I've seen over a few months of testing, these sources tend to carry the most weight:

• Official websites and blogs (well-structured, clear answers)
• Wikipedia (if you can get a legitimate mention)
• Reddit (ironic, I know — you're reading this on one of the highest-authority sources for AI search)
• Citations from established media

That's basically the pecking order. If your content lives in those places with real authority signals, it gets fed into the AI's answer.

What I actually changed

I stopped thinking in keywords and started mapping intent chains — what does someone actually ask an AI when they have the problem my product solves? Then I worked backwards:

• Wrote blog content that directly answers those conversational queries
• Started participating genuinely on Reddit in relevant subs (not spamming, actual answers)
• Got our product mentioned in a couple of niche publications
• Made sure our site structure was clean enough for web crawlers to pull the right context

Nothing fancy. No secret tool. Mostly just shifting the mental model from "rank on Google" to "be the answer ChatGPT gives."

Honest caveat

This seems to work well for startups with focused products and clear use cases. I've talked to people at bigger companies trying to do GEO and it's a totally different beast — tons of different intents, legacy content everywhere, brand complexity. Not a simple plug-and-play.

But if you're running something small and focused? The window is wide open right now. Almost nobody is optimizing for this yet.

Happy to answer questions or share more specifics. Still figuring this out myself.

ChatGPT SEO is the New Google SEO

Feels like most people still haven’t realized what’s happening 👀

A few years ago everyone wanted to:

• rank on Google
• go viral on social media
• optimize for search traffic

Now?

People are literally asking ChatGPT:

• “best email tool”
• “best CRM”
• “best AI app”
• “best software for small business”

And ChatGPT is choosing winners.

That’s wild if you think about it 😭

Because now distribution is slowly shifting from:
“how do I rank on Google?”
to:
“how do I become the answer AI gives?”

Feels like:

• brand mentions
• Reddit discussions
• community trust
• reviews
• backlinks
• niche authority
• people talking about your product online

…matter way more now.

Almost like AI is creating its own search engine layer on top of the internet.

Lowkey feels like early Google SEO days again where nobody fully understands the algorithm yet.

Curious though…

Do you think “ChatGPT SEO” actually becomes a real thing over the next few years?