r/SEO_for_AI

There are hundreds of platforms out there that can do keyword research and spit out a fresh SEO-optimized article in minutes. That part feels pretty solved at this point.

But here’s what I keep running into: I have an existing blog with posts from 2–3 years ago that are slowly dying (rankings slipping, internal links broken, etc) . The kind of “content decay” that apparently affects pretty much everyone.

What I actually need isn’t another tool to generate new content. I need something that can audit and refresh what I already have e.g update the stats, rework the structure for AI search visibility, fix the gaps vs. current SERP results.

Does that tool exist? Or is “historical optimization” still mostly a manual job?

Would love to hear what workflows people are actually using for this.

This isn't a joke and I'm not trolling. I have not seen any case studies about an llms txt file being implemented that resulted in measurable improvements. I have looked and not found one. Anyone have one?

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Traffic was always a vanity metric.

Now it just becomes more apparent.

Traffic is like street traffic. People driving by your site.

I rather focus on visitors, those who leave the car in a way and visit your store to buy something.

So traffic is everybody including the lurkers who just do window shopping and don't engage.

On the Web there is what we call the 90-9-1 rule of (online community) engagement.

90% lurkers, 9% occasional engagers, and 1% hyperactive ones.

So due to AI Overviews many of the lurkers just view the summary on Google.

On AI Mode and chatbots most of them do.

So you are left with the 10% of people who actually engage.

Even if you get just the 1% like in AI Mode, that's the ones who matter and buy IMHO.

In an agentic Web even those 1% could buy using Google itself.

Then you can save a lot of money on website design, content, and link building.

Even hosting costs drop that way. So it's not all bad LOL.

So rather stop using traffic finally and focus on more sound metrics.

Statistics is a funny thing. When something grows from 0 clicks to 3 clicks, it makes it a 300% growth rate, to be sure. :)

AI traffic is 0.3% of all traffic for websites, on average, after three years of sending traffic, but we are still excited about reporting that :)

To be sure, traffic is not going to be a major AI visibility metric for a foreseeable future, since AI Answers are not designed for clicking. But it is nice that it grew to 0.3%

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Source: Seranking

Hi r/SEO_for_AI, and thanks to David and Ann for setting this up.

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I'm TJ Robertson. A bit of background so you know what I can speak to. I've been doing SEO for 17 years. In May 2025 I started my own agency, TJ Digital, and it's grown to $150k in monthly recurring revenue and 26 people since then. That growth came entirely from short-form video, mostly TikTok, not from the channels agencies usually rely on.

What keeps clients around is that we've gotten reliable at increasing visibility in AI search, mainly Google's AI results and ChatGPT. Getting a brand cited in the answers and recommended as the solution, consistently. We track more than 2,500 prompts across ~40 industries. Most of what I know comes from real results across a lot of verticals.

After 17 years in SEO, this is the biggest shift I've seen, and I'm glad to talk about it. I'm an open book.

The AMA goes live July 2. Leave your questions on AI search visibility, getting cited and recommended in ChatGPT and Google AI Mode, content strategy for AI search, or how we built the agency, and I'll work through them on the 2nd.

Bing Webmaster is the sleeper AEO/GEO tool. It's totally free, if you have access to GSC you can connect it in seconds and it's info is the best (I actually think at this point it's the ONLY accurate) intel we get on prompt volume by topic.

But now, we can also see four additional things:

1. Intent. This is Bing's best guess at prompt intention. Research, Informational, etc.

2. Topics. Related queries are grouped into broader thematic clusters (e.g., “solar panels” + “solar energy efficiency” → Solar Energy)

3. Citation share. THE BIG ONE! See how much of the citation space your site holds for a given grounding query. We have some where we're owning 50% of the citation. Insane.

4. Compare. This is just the ability to compare details for AI visibility against previous timeframe. Basic.

We typically use Bing Webmaster as the early directional data to see if updates are "working." We recently ungated a piece of research from last year and have received hundreds of citations with a 1% click through to the full research in just the first month.  

Wix just came up with its State of Websites report with one of those takeaways.

I genuinely like Wix and what they are doing for SEO (as far as education goes), but these correlation studies are a bit insane at this point.

I have the same theory here as to "Pages with schema are cited more" studies. There's another one for same as well:

Sites with structured data markup that passes Google’s rich-results inspection earn 2x more revenue and get 9x more traffic than sites without.

Look...

Businesses that use LLMs / Schema are more likely to have better SEO strategies overall, because they obviously care. That's it.

There's no direct impact here.

Hi All,

I have a question: I run an SEO copywriting agency, and my Reddit account just turned two. I've been more active on Reddit recently, but it feels more personal to me, as my existing account doesn’t use my brand name. Would changing my account to my brand name enhance my SEO and AI benefits on the platform? Or, would you recommend starting a new Subreddit with my corporate brand name as its own entity? Fyi...I'm also fairly active on LinkedIn, but use my real-world name as the main hub. Having two LinkedIn accounts - one personal, one branded - seemed redundant. So I'd also appreciate any advice you have regarding that platform.

With AI agents increasingly summarizing content instead of sending clicks, I'm wondering if you've changed how you write content.

Are you focusing more on direct answers, original insights, or content structure? Has it made any difference in AI visibility or traffic?

I am still early in this space so most of what works is just testing and learning as I go. I started by taking real questions people would actually ask in ChatGPT and Perplexity, then ran them regularly and observed what shows up. Patterns started to appear like which sources get picked, how answers are structured and what kind of content keeps getting referenced. I kept it simple and just improved week by week based on what I was seeing.

A few things that i did and actually worked. I started writing around real use cases instead of broad topics. I reused the same intent in different forms like short guides, comparisons so there are multiple entry points for the same query. I also paid attention to mentions outside my own site because that seems to matter more than people expect. And I tracked changes over a few weeks instead of expecting quick results. I ran repeated prompt checks across different AI systems to see how visibility changes over time and what actually gets picked up.

One thing that stood out is that nothing really moves fast. It usually takes a few weeks before I notice any real shift but once it does, the same patterns start repeating. Would like to know if others are seeing the same thing or doing it differently.

"Google just followed their user". Reddit ranks because people genuinely want real human opinions, not because of any backroom deal.

Interested to know how much traffic you are getting via AI Chatbots and LLMs with your sites and clients?

We still do a lot of SEO work for companies and organizations we work with. Overall that is still the majority of the organic traffic.

Most of the demand recently has obviously been working on getting AI Citations. That is why we focus most of our efforts on Reddit. 😄

From what I see the most amount of traffic from AI is still in the single digits.

Google still dominates the organic traffic game.

What are you finding with AI traffic?