r/Agentic_SEO

https://preview.redd.it/j8nn4m3odckh1.png?width=1178&format=png&auto=webp&s=f9c07d7f52cf4194084c585480fde2f9aaefd9ef

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

Hat/tip to u/rustybrick for ringing the alarm bells!

Google has just announced the release of the August 2026 spam update and said it should only take a few days to roll out. This is a global update and is expected to impact all languages. This only impacts sites that spam, but with any update, there may be collateral damage.

Google wrote:

>Released the August 2026 spam update, which applies globally and to all languages. The rollout may take a few days to complete.

Google added on LinkedIn

>Today we released the August 2026 spam update to Google Search.

I recently had a call with a link-building agency, Outreach Crayon, which got me thinking about how we define success in AEO/LLMO—especially when investing in brand mentions and listicle placements.

“Getting mentioned in AI answers” sounds useful, but what would make you confident it is driving real business value?

Would it be:

• Qualified referral traffic from AI products?
• Visibility in high-intent recommendation prompts?
• Assisted conversions?
• Stronger branded search?
• Consistent descriptions of your brand across models?

Curious what people here are actually measuring—and which metrics you’ve stopped trusting.

Disclosure: I’m not affiliated with Outreach Crayon; the conversation simply prompted the question.

I am checking different ai readiness inspector and found out that most of these are just generating you a number or some of them are just telling you that either ai is citing you or not instead of telling you how they ave calculated that and what are the current issues and how to fix them to make the website eligible for AI Engines and get citied by AI. Have you found any real provider that offers the complete solution rather than just a readiness score or either you are cited or not? Please share your personal experience as that would be very helpful for not just me but the entire community.

hi i want to buy a few media properties to promote my saas, was looking at acquiring some existing sites (for upto $10k) that already have traffic (preferably direct) for this

1. wheres the best place to look for these kind of sites?
2. has anyone here done this? if so, how did it pan out?

thanks!

I’m about to start working on SEO/GEO for a real estate business focused on helping people buy and sell homes, and I’d love to hear from people who have worked in this space.

I’ve previously worked on SEO for healthcare and SaaS, but real estate seems quite different. One of the main challenges I’m seeing is that listing platforms and aggregators often dominate the SERPs, sometimes ranking above the actual real estate brands.

The ultimate goal isn’t just “more rankings.” We want to build SEO/GEO into a real acquisition channel that generates qualified leads.

At the same time, the CEO is interested in building visibility across social media and other external sources that can validate the company’s expertise, authority, and progress, and potentially improve how the brand is understood and surfaced by search engines and AI systems.

For those who have worked in real estate SEO:

- How would you structure the SEO strategy around listings vs. high-intent buyer/seller searches?

- What types of pages or content have actually driven qualified leads, rather than just traffic?

- How important are local/entity signals, PR, social media, reviews, and third-party mentions?

- How are you approaching GEO/AI visibility in this vertical?

- Are there specific content or technical strategies that work particularly well for real estate?

- What would you prioritize during the first 90 days if the goal were to build SEO into a measurable acquisition channel?

I’d especially love to hear from people working with brokerages, real estate marketplaces, agents, or companies operating in competitive local markets.

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?

AI-content detection seems to be moving from standalone detector tools into normal SEO workflows.

Ahrefs added AI-detection signals to its Site Audit URL details on August 1, so teams can inspect likely AI-written sections while reviewing pages.

I can see the use case on large content sites.

If you suddenly have thousands of pages and want to identify sections that may deserve editorial review, detection can be a useful triage signal.

What I wouldn't do is turn the score itself into an SEO KPI.

Google's published position is still that appropriate AI use isn't inherently against its guidelines. Its focus is on original, useful, high-quality content; using automation primarily to manipulate search rankings is the violation.

So:

“Likely AI-written” doesn't automatically mean bad.

And:

“Human-written” definitely doesn't automatically mean good.

I'd rather combine detection with checks for:

• unsupported statements
• repetitive phrasing
• factual errors
• lack of original insight
• weak sourcing
• pages that add almost nothing beyond existing results

Have you started adding AI-detection scores to editorial audits? Are they actually helping you find low-quality pages, or mostly creating false alarms? Also, are you merely deleting AI-written content or revamping it by providing needed value?

What strategies do you think will matter most for getting a brand mentioned in AI-generated answers?

Most of us been having a downside because of the release of Google AI Overviews. Some of our sites are seeing a -40% YoY for organic search traffic, and the clicks coming from citations from ChatGPT or perplexity is around 2% when lucky.

We been exploring some options about how we can maximize the traffic that still visits the sites, and the results so far are amazing! Some websites are almost back to the “normal” levels of 2024. Happy to share more about this.

My question for you is what initiatives are you doing assuming we will have Google Zero sometime soon! How are you protecting your revenue?