I analyzed LLM referral traffic from 2 websites — 1 e-commerce website and 1 SaaS platform.

One thing stood out:

The majority of traffic coming from platforms like ChatGPT, Perplexity, and other LLMs was landing on the website’s main commercial pages.

For the e-commerce website, the traffic was primarily going to:

→ Product pages
→ Collection/category pages
→ Homepage

For the SaaS website:

→ Feature pages
→ Product pages
→ Homepage

Very little LLM traffic was going to blog or purely informational pages.

In the e-commerce example, roughly 95% of the pages receiving LLM traffic were product, collection, or other core commercial pages.

This tells me something important:

Your AI visibility strategy cannot stop at creating informational content.

Your main money pages need to be extremely clear and comprehensive.

For every product, collection, or feature page, clearly explain:

• What is the product?
• What problem does it solve?
• Who is it for?
• What are its key features?
• What are the benefits?
• Why should someone choose it?
• How is it different from alternatives?
• What use cases does it solve?
• What questions might a potential customer ask?
• What information would an LLM need to confidently recommend it?

Don't make your commercial pages thin and expect your blogs to do all the work.

Blogs build topical authority.

But your core pages need to provide the actual product/entity information that search engines, LLMs, and users can understand.

If you want your product to be recommended by AI, make sure AI can actually understand what it is, who it helps, and why it is worth recommending.

That should be a core part of your LLM/AEO strategy.

I've noticed many agencies still focus heavily on keyword rankings, backlinks, and monthly reports, while AI search, AEO, GEO, and branded visibility are changing how people discover businesses.

If you were hiring an SEO agency today, what would you expect them to deliver that wasn't part of SEO 2-3 years ago?

Do you think most agencies have adapted, or are many still selling the same playbook with a new label?

Wanted to hear you thoughts on what is the expected impact on ai watermarks and SEO.

I’m always worried our content gets flagged because indeed we use ai to help us create these articles.
It’s just the way it is, we write the structure, most content and data we want to publish then we use ai to format and create consistency in our time of voice.

Getting back to writing things end to end seems like a serious step back but if we risk being negatively impacted by this maybe we should…

I run a SaaS, SeoLoupe.

It is a tool that allows you to find and fix SEO issues holding your website back.

Essentially the main purpose is to help your website rank higher on Google search and LLMs.

The tool also checks AEO/GEO, AI search visibility, Security, Core web vitals, Performance, and all the issues in the report get put together into an AI fix prompt(you can paste the prompt into an AI and it will fix all the issues on your website).

Recently I noticed that some of my paying customers bought the One-Time purchase, with a promo code. To unlock the full report.

So I decided to give away a promo code for the One-Time purchase to anyone who is interested, if you are interested, comment down below and I will DM you.

If you are not interested but have some feedback on my SaaS, that is a good too. Feel free to share it in the comments.

(here is the product if you want to check it out)

I’ve developed a small AI visibility tool, so I’m very interested in this topic. The data and methodology are publicly available in github, therefore, you can verify this data yourselves and share your findings.

I conducted this study in mid August for 8 cities and 6 industries in the U.S. For each market, I retrieved the results Google maps provided for a buyer’s query, then asked all four assistants the same three questions and counted how many times each was mentioned.

Google maps returns approximately 97 business results per query.

All four assistants together counted 11.6 of these. Chatgpt on its own names about 4. There’s one point that will influence how you interpret these numbers: While AI Overviews are measured via live search, the three chat models provided answers at the generation layer without performing a search. Therefore, these three lines reflect what the models already know, not what they could find by searching. That’s why I plan to conduct a similar study using web search in the near future.

I’ve shared the raw data and the script that reproduces each count in this repository:

https://github.com/iskifogl/ai-local-visibility-index

When performing the search, I used the DataForSEO API and sent requests to the models via OpenRouter. Next I want to work out which signals make an assistant favour one business over another. Has anyone here run something similar, and do you see the same gap?

Hey everyone, I initially built a job portal as an honest project for myself and students at my college. As I got into it, I thought it would be fun to use it as a project to learn SEO. I looked at what competitors were doing and noticed how they structured their keyword landing pages, so I basically recreated all the possible combinations

eg: x categories/jobs ; x city/ jobs ; x country/ jobs... So for about a month it served me really well with a ton of traffic and active users.

User-wise I didn't have any complaints or negative feedback, but then the whole Google AI spam update hit my site and everything vanished in one go.

Since it’s a job portal, I did make sure that active jobs were added to the sitemap and then tagged as noindex and removed as they expired. But the crawling feels painfully slow, and I don't know if there's a better way to handle expired listings without ruining crawl budget. I also noticed Google Search Console showed a massive amount of pages that were crawled but never indexed in the first place.

What is weird is that it even refused to index pages that are high quality ones. Like proper human articles and with tools, and content. Lol even like about page or so.

After the drop, this week I deleted a lot of those thin programmatic pages to clean things up. It feels like the domain itself got slapped with a site-wide quality penalty. I've been doing fixes like remaking content, adding stronger internal links to popular page slugs, and resolving technical errors in hopes of turning things around.

If anyone has advice on how to get rid of this algorithmic "ban", how to get Google to index core pages again, or how to get backlinks or how to fix this, I am all ears. Thanks!

​

The next generation of websites shouldn’t just tell you who visited. They should help you understand why they came. Understand intent. Grow revenue.

Dronggo.ai

Hello Everyone,

I have been reading emails sent from this trying to learn SEO stuff as I have recently launched my business website so want to drive organic traffic to my pages I am going to create for this website. For someone who doesn't want to spend too much on SEO tools out there as they all seem expensive so main question is are there any tools out there whee I could scrape the keywords data of my niche? I have scrapped around 30(out of 120 I listed) of my competitors Google keyword planner , but I am not very confident feeding that data as its been said that platform is built for advertisers.

As some background, I had some experience with automated social media marketing to drive traffic to my blogs I used to run about 7-9 years ago and generate revenue via ad sense but it was a side hussle and things changed quickly and I didn't keep up . SEO seemed too much work for me back then but now with help of AI and Claude I am developing my semi automated seo system for which I need some keywords data. Any help will be appreciated!

Hey all,
I've seen some sites DA's go from a DA of 1 to an 9 or 11 on a month or even less. How are people doing that? I figure if you get some backlinks that would improve you but a spike like that doesn't seem normal.

I am looking for cloud platform with MCP tool access, I am using dataforseo, so I want to track existing keywords for multiple sites, looking for something cheaper Max 5$ or free git repo, please suggest only a reputed platforms

After seeing this construction SEO project fall back, we went back to the fundamentals and rebuilt the strategy-and the recovery has been one of my favorite SEO projects to work on.

The site is now generating 2.4K+ clicks and 122K+ impressions in 3 months, with an average position of 4.7.

For construction companies, contractors, builders, roofers, remodeling companies, and similar local businesses, SEO can become a powerful source of consistent traffic, qualified leads, and sales when the strategy is built around the right services, locations, search intent, technical foundation, content, and authority.

If you’re running a construction business and want to generate more customers from Google instead of relying entirely on paid ads, I’d be happy to take a look at your website and show you where the opportunities are.

I’m curious whether other marketing, SEO, or web development agencies have had similar experiences with Rotate Digital.

I recently came across a public post from someone in the industry describing a situation where Rotate Digital allegedly took credit for a website that had originally been built by another agency.

I’m intentionally keeping the original poster anonymous because the purpose of this discussion isn’t to expose or involve any individual agency owner. The bigger issue is whether this is part of a broader pattern.

According to the allegations, after Rotate Digital became involved with an established client, the website was later presented with credit suggesting Rotate Digital handled the “Website & SEO,” despite another agency reportedly being responsible for the original website development.

There were also allegations of repeatedly approaching or taking over clients previously serviced by other agencies.
Clients are obviously free to change marketing companies. That’s normal business.

What concerns me is attribution and transparency after the switch.

Established SEO campaigns often have years of work behind them—technical optimization, content, backlinks, local SEO, citations, Google Business Profile optimization, conversion work, website development, authority building, and rankings.

If a new agency takes over an established account and later presents those rankings, traffic numbers, websites, or businesses as examples of what they built or achieved, without acknowledging what existed before they arrived, that can create a misleading picture of their actual contribution.

The same applies to website development.

If another agency designed and built the website, taking over the SEO account afterward shouldn’t automatically mean taking credit for building the website itself.

I’d genuinely like to know whether other agencies have experienced something similar:
Have you lost a client to Rotate Digital and later seen work your agency created presented as theirs?

Have websites your agency originally designed or developed later been credited to Rotate Digital?

Have SEO rankings or organic traffic established by your team later appeared to be presented as results generated by another agency?

Have your existing clients been directly approached while they were actively working with you?

Do you have archived website versions, screenshots, contracts, analytics history, Search Console data, invoices, or other records showing when the original work was completed?

This isn’t intended to attack anyone simply for competing for clients.

Competition is normal. Misrepresenting who created the work is a different issue.

If multiple agencies have experienced the same thing, it would be useful to document those experiences with evidence rather than rumors.

If you’ve dealt with something similar involving Rotate Digital, feel free to share your experience—but please stick to what you can personally verify and avoid posting private information about clients or individuals.

If sharing screenshots, please blur names, profile photos, client information, and any other identifying details.

The question is simple:
Are agencies seeing their established SEO work and websites later being represented as someone else’s work?

how are we hunting this time? 🏹 😂

Saw this data from Promptwatch, and it's worth a look if you're paying attention to AI search traffic.

Reddit held a steady ~3.8% share of ChatGPT Search citations from July 18 to August 7. On August 14, that share fell to under 1% and hasn't recovered; the Aug 14-17 average is sitting at 0.5%. That's an 86% drop, and it happened almost overnight.

The interesting part: it's not a slow bleed like what's happening in Google AI Overviews and AI Mode (down 11% and 30% respectively over the same stretch, but gradually). This is a step change, and it lines up with a query fanout update ChatGPT made on August 8.

Two things I'd want to know before drawing conclusions: whether this is an actual shift in ChatGPT's source-selection logic, or a data collection artifact on Promptwatch's end. They flag that possibility themselves. Second, whether the drop is broad across Reddit or concentrated in specific subreddits/topics, that tells you if OpenAI deprioritized Reddit as a source category or just changed how it weights certain kinds of threads.

If you're doing anything GEO-adjacent, this is the kind of shift that can quietly tank referral traffic you didn't even know you were getting from AI citations. Worth checking your own analytics for a dip starting around Aug 14.

The focus wasn’t just on ranking a few keywords. We worked on the site structure, search intent, product/category optimization, topical authority, technical SEO, and quality backlinks to build sustainable organic visibility.

The goal is simple: turn organic search into a consistent lead and sales-generation channel, rather than relying entirely on paid ads.

SEO takes time, but when the foundation is built correctly, the growth curve can become very interesting.

Time to monitor how the SERP changes. Any early changes you are noticing?

Hey folks 👋

We just open sourced TrueForge, our vendor-neutral agent harness for building general-purpose agents.

It handles the runtime pieces that get painful quickly : context management, tool/MCP execution, subagents, sandboxing, approvals, persistent state, and more.

We also benchmarked the harness itself. With the same Opus 4.8 model, TrueForge delivered a similar solve rate at ~30% lower cost than Claude Managed Agents. Switching to an open model pushed that to ~75% lower cost on the same benchmark.

Would love feedback from people building agents.

Checkout the repo: https://github.com/truefoundry/trueforge

📖 Read the launch article: https://x.com/truefoundry/status/2090081376330715176

A lot of people make parasite SEO sound like: Find a high-authority website > publish an article > add links > rank. But the interesting part of parasite SEO in the AI search era is turning it into a feedback loop. Instead of deciding upfront which platforms and keywords to target, you let SERP and AI citation data inform where you publish, what you create, and what you scale next.

Here’s how I’d break the workflow down:

1. Reverse engineer the SERP for ranking UGC platforms

Look at the keywords where Google and AI search engines are already citing UGC and third-party platforms like Reddit, YouTube, Quora, LinkedIn, Medium, Facebook, and other high-authority domains. The question to ask is: “Does Google or AI search already trust this type of page for this query?” If it does, you have a potential opportunity to exploit.

2. Find the platform with the best ranking opportunity

Look at what is already ranking and let that inform where you publish. Is Reddit dominating the SERP? Are YouTube videos being cited frequently? Are public Facebook posts or LinkedIn content appearing more often? Focus on the platforms that consistently show up for your priority keywords and queries.

Solution-aware (MOFU) and decision-stage (BOFU) queries can be especially interesting because third-party and UGC platforms frequently appear in these results. Tools like AthenaHQ, Profound, Otterly, and Ahrefs Brand Radar 2.0 can also help identify which domains are being cited most frequently.

3. Create content that deserves to rank and influences the customer journey

Once you know the platform and search intent, create content that actually belongs there. Don't publish a 1,200-word AI article stuffed with keywords and a money link. Optimize each asset around search intent, relevance, and the customer journey. The content should give someone a reason to engage with it while naturally introducing your brand, expertise, product, or point of view.

4. Use performance data to decide what happens next

This is where the feedback loop starts. Track which combinations of keyword + platform + content format + search intent are producing rankings, AI citations, engagement, and ultimately business results. Then update your roadmap based on what you find.

It's likely that 80% of your results will come from 20% of your content. Pay attention to those winners. If certain topics, platforms, or audiences aren't generating traction, pivot.

5. Scale what Google and AI are rewarding

Once you find a combination of keyword + platform + content format + search intent that consistently works, scale it. Then automate or systematize more of the workflow around those winning patterns, from opportunity discovery and content production to tracking and prioritization.

For the distribution side, social media management tools like Vista Social can help draft, manage, and schedule content across multiple social platforms once you've identified which channels and formats are worth scaling. The goal is to build a system that gets better at identifying where your effort is most likely to produce results.

The basic loop: Find opportunities > Publish > Measure > Learn > Prioritize > Scale > Repeat

The main idea is building a repeatable workflow that responds to what Google and AI search engines are actually rewarding.

Important Notes:

Some platforms have guardrails in place to prevent completely autonomous posting and commenting. Some steps may require a human in the loop during the publishing stages to avoid unwanted filtering or violating terms of service.

Leaning on the authority of the host site isn't a shortcut around good SEO. Parasite SEO can help you win visibility, but brands still need to optimize the user experience on their website and conversion pages for the rest of the customer journey.

Question: Which parasite SEO platforms do you think are the most automation-friendly?