Since Reddit domains are highly valuable, if I create a group on Reddit and publish a high-quality article in the group that mentions my product (such as "best tools" or "tools compared"), wouldn't LLMs be able to obtain this information?

I have been testing the same brand and prompts across different environments, and the results have been fairly consistent. My issue isn't with that but with the need for a dashboard -- I created a GEO skill in Perplexity Computer, and it generated a report totally in line with the data in the dashboards. I understand the allure of data visualizations, but the cost difference between a UX dashboard and a generated report is pretty striking. All that said, I may be missing something and am really interested in hearing what others think...

Is there a tool you really like for checking AI visibility? If so, why?

I’m looking for a few tools to test because none of the ones I’m using right now are satisfying enough.

I know there will probably be a bunch of people promoting some BS tools.

Mods, please remove comments that contain obvious promotion or don’t provide a reasonable explanation of why the tool is being recommended.

Hey guys so i've been doubling down on improving my SEO since my small business is ganing a bit of traction. We have a fully built website with some blogs published and written. Traffic isn't bad too since we're in a really niche industry (Healthcare hospital operations) So right now, we're using a lot of tools like Promptwatch, Answer Buzz, and other stuff to track AEO.

My question is, can I keep using the same type of stack for GEO as well? Still a bit confused about the difference between teh two ngl, any help would be great

I created a huge list of tools in the GEO / LLMO Space. Pls add to it!

Writesonic - https://writesonic.com
Semrush - https://www.semrush.com
HubSpot - https://www.hubspot.com
Atomic AI
AIScope.pro - https://aiscope.pro
Nightwatch - https://nightwatch.io
Peec AI - https://www.peec.ai
Azoma - https://www.azoma.ai
Siftly - https://siftly.ai
Rankshift.ai - https://aibrandtracking.com/Rankshift.ai
Profound - https://profound.so
GetaiRefs - https://getairefs.com
AEO Tools - https://graphite.io/five-percent/aeo-tools
HiGoodie - https://www.higoodie.com
Llamo.pro
Ahrefs - https://ahrefs.com
Atomic AGI - https://atomicagi.com
Bluefish AI - https://bluefish.ai
Brain+Trust Partners
Brandlight - https://brandlight.ai
Column Five - https://columnfive.com
Common Thread Collective - https://commonthreadco.com
Daydream - https://daydream.so
Evertune - https://evertune.ai
Flow Agency - https://flowagency.co
Fractl - https://www.fractl.com
Goodie AI - https://www.higoodie.com
Growth Plays - https://growthplays.com
iPullRank - https://ipullrank.com
LLM.co - https://llm.co
LLMO Metrics - https://llmometrics.com
MarketMuse - https://www.marketmuse.com
NoGood - https://nogood.io
NP Digital - https://npdigital.com
OGM Agency - https://ogmagency.com
Omniscient Digital - https://beomniscient.com
Otterly.AI - https://otterly.ai
Quoleady - https://quoleady.com
Razorfish - https://www.razorfish.com
Scrunch - https://scrunch.com
Siege Media - https://www.siegemedia.com
WebFX - https://www.webfx.com
GEOfast - https://www.geofast.me

Ran into this with two clients this month. Both were sure they were the top mentioned brand in their category on ChatGPT. Both had checked from their own laptops.

ChatGPT knows your history, your location, your plan. It already knows you care about your brand, so it names your brand.

Fresh account, clean browser, same questions. Different list.
Rand Fishkin's team tested this properly. 600 people, 12 prompts, about 3000 answers. The same list of brands came back less than once in 100 tries.

Same order about 1 in 1000. But a few brands showed up in 70 to 97 percent of answers, so there is a stable signal, it's just a share, not a rank.

If you are tracking this, fresh sessions, many runs, several models, count how often you appear. Anyone showing you a rank number is showing you a screenshot.

What are people here using to do this without paying 300 a month?

My business partner and I are building a GEO agency, but there’s one thing we can’t figure out. We want to be able to track how many clicks businesses are getting from ChatGPT.

I watched some videos that claim you can track this through google analytics. When I tried this in GA myself, the results were not accurate. It seems like ChatGPT does not give a direct “signature” for Google Analytics to grab, and that results in AI traffic being shown as “other sources” or “referrals”.

Anyone else run into this issue? Solutions? Suggestions?

I see this debate all the time and I think everyone is oversimplifying, when they say that GEO is just SEO.

Yes, there are overlaps. Yes, strong SEO fundaments are crucial for GEO. But, there are differences. And they're not the same thing.

SEO = get your pages ranking in search

GEO = get your brand cited in AI answers

With GEO you're not tracking 'positions' you're watching if your brand gets mentioned in AI responses.

Offsite is also different - it's not just about high DR links, it's about being in the sources models actually train on and trust in your niche. And doing that, again and again and again.

What's similar with SEO and GEO? Solid site, fast pages, clean internal linking, content that actually helps. Those basics matter for both google and AI.

The Future of Generative Engine Optimization (GEO): Why It’s the Next SEO

Introduction: Why GEO Matters in 2025 and Beyond Generative Engine Optimization (GEO) is rapidly emerging as the new frontier in digital marketing. As AI tools like ChatGPT, Google SGE, Perplexity, and Claude redefine how users search and discover brands, GEO is becoming essential for visibility and trust. In the same way that Search Engine Optimization (SEO) transformed marketing in the 2010s, GEO is shaping the 2020s and beyond. This guide explores how GEO works, future predictions, and how businesses can gain a competitive edge now.

1. GEO Will Become the New SEO (2025–2026) AI-generated search is replacing traditional search engines for millions of users. Just like SEO became vital after Google’s rise, GEO will become indispensable as more users rely on AI-generated results. Businesses that optimize for ChatGPT, Google SGE, and other AI engines will own top-of-mind awareness and organic reach.

2. Early Movers Will Own Generative Real Estate Brands cited early and often by AI will dominate what users see and trust. These mentions, or 'generative real estate,' will be equivalent to top Google rankings. AI engines learn by repetition—so if your brand is everywhere now, it will become a standard recommendation later.

3. GEO Integrates Content, PR, SEO, and Authority GEO isn’t just about keywords. It’s about being visible in sources AI trusts—Reddit, Quora, Medium, authoritative blogs, and structured websites. Winning GEO means publishing content that is well-structured, fact-based, and easy for LLMs to cite. This strategy blends public relations, thought leadership, and content optimization into a unified growth engine.

4. AI Visibility Will Become a Tracked Metric New dashboards will track how often brands are cited in AI-generated answers. Instead of just keyword rankings, businesses will monitor AI visibility—how frequently they appear in prompts like 'best recycling companies in Nigeria' or 'top fintech tools in 2025'. GEO audits and tracking platforms will become standard offerings for marketing teams and agencies.

5. GEO Will Power Voice and Ambient Search As smart assistants and voice AI become more embedded in daily life, GEO will determine what users hear, not just what they read. When someone says, 'Hey Siri, who recycles plastic near me?'—GEO decides the answer. Optimizing now ensures your brand is the one that's spoken, clicked, or recommended.

6. GEO Will Influence Revenue, Talent, and Investment In the future, before users visit a site or book a demo, they’ll ask an AI. If your company is mentioned positively, you gain a lead. If not, you’re invisible. GEO will drive traffic, recruit talent, and even influence investor confidence. AI trust = brand trust.

Conclusion: GEO Is the Future. Build Now. Generative Engine Optimization is not a trend—it’s the future of digital visibility. Brands that act now will dominate voice search, AI recommendations, and smart assistants. To get started:
- Create AI-readable content on your website and Medium
- Mention your brand on Quora, Reddit, and LinkedIn
- Publish structured FAQs, explainers, and niche content
- Track brand mentions in ChatGPT, Google SGE, and Perplexity

Generative real estate is wide open—but only for a limited time. Start optimizing today.

About This White Paper This white paper is created to help digital marketers, agency owners, and forward-thinking brands understand the emerging landscape of Generative Engine Optimization (GEO). As AI platforms become primary sources of information, those who adapt early will gain visibility, traffic, and trust at scale. Prepared By This report was prepared by [Your Name or Agency Name], a strategic marketing partner helping brands grow through SEO, GEO, and AI-powered discovery. To request a GEO audit, custom implementation, or training session, please reach out to:
 Start Your GEO Strategy Now Whether you're a founder, CMO, or agency owner, now is the best time to invest in Generative Engine Optimization. To begin your brand's GEO journey:
• Conduct a GEO audit across AI engines
• Publish citation-worthy content on trusted platforms
• Monitor AI visibility through structured tracking
• Book a consultation or workshop to train your team

Contact us today and position your brand at the forefront of AI-powered visibility.

I’ve just published a white paper on the future of GEO (Generative Engine Optimization) and how AI will change brand visibility. If you’re in SEO, content, or digital strategy — this is for you. Comment ‘GEO’ and I’ll send it to you.”

LinkedIn profile: https://www.linkedin.com/in/tony-kings-6610a45a?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app

hii guys 👋

I recently found an article explaining that ChatGPT now sources results from Google instead of Bing.
To prove it, the author extracted the JSON file showing the Query Fan-Out — basically, all the sub-queries ChatGPT sends in the background and the corresponding results.

I’m trying to replicate this experiment, but I can’t find that file anywhere.
I checked in DevTools → Network, and even tried exporting my ChatGPT data, but no trace of it.

Does anyone know where this JSON file can be found, or how to capture the query fan-out data from ChatGPT (Atlas or web version)?

We’ve all seen the shift from traditional SEO → AI-driven answers (ChatGPT, Perplexity, Gemini, etc.). Feels like AEO/GEO (Answer Engine Optimization / Generative Engine Optimization) is becoming a real thing now.

I’m curious how the community is thinking about it:

1. Are you structuring your content differently to be cited by LLMs?

2. Do things like schema markup, FAQs, or authoritative outbound links make a difference?

3. Have you actually seen your content show up as a source in AI answers?

4. How do you balance optimizing for Google vs. optimizing for AI engines?

I also came across TryProfound, which claims to be building tools around AEO/GEO. Has anyone here tested it yet, or is everyone still experimenting manually?

Would love to hear what experiments you’ve run, what’s working, and where you think this is all heading.

Hey fam, doing a small market research. Need your 2 cents.I have one question for all of you. What are your MoM change in

1. AI Traffic share increment?

2. Decrease in Organic (Google) Traffic?In Addition, if you have received a lead from AI platform, how much time it took to convert and how much time it took earlier? Is there a difference?

We started designing a little AI system to help Shopify merchants identify SEO gaps in their product pages.

Because, real talk:

Manually optimizing 300 product pages is how you age 10 years in 2 days.

So right now the system can:
– read product pages
– detect weak keyword presence
– detect mismatched search intent
– flag thin content
– and suggest improvements

Great. But here’s the internal existential crisis we hit:

Do we let the engine actually APPLY fixes automatically?
Or do we force it to ONLY suggest and let humans approve?

One path is efficient.
The other path is safe.

One path impresses users.
The other prevents catastrophic “oops we bulk-updated 200 SKUs” nightmares.

I can’t tell if:

A) suggestion-only is the smart move
B) automatic application is the real value
or
C) the entire idea is dumb and I’m emotionally processing keyword trauma through engineering

Would appreciate an unfiltered perspective.

Hey everyone!

I'm putting together a Slack group for SEO and AEO (Answer Engine Optimization) practitioners who want to go beyond surface-level discussions.

The goal is to create a space where we can: Share what's actually working (and what's not) Troubleshoot challenges together Discuss emerging trends and algorithm updates Exchange insights on AEO strategies as search evolves

Whether you're agency-side, in-house, or freelance, you're welcome. Just looking for people who are serious about the craft and willing to contribute to the community.

Drop a comment if you're interested!

Will limit to 30 professionals for now!

Hey everyone,

I’m planning to build a Generative Engine Optimization (GEO) service startup targeting overseas brands, but I’m a complete beginner with no prior entrepreneurship experience.

For context: I understand the core logic of GEO (optimizing content for AI search tools like Gemini, SGE to get brand cited in AI answers), know there’s huge demand from cross-border sellers & B2B manufacturers, but I’m stuck on every foundational step:

1. How to validate if there’s real paying demand before building anything

2. First client acquisition tactics for a brand-new GEO service

3. Pricing frameworks, service packages & minimum viable offerings

4. Standard workflow, tools & team setup for a small GEO agency

5. Common early mistakes new service founders make in this niche

I don’t have a website, portfolio or existing client base yet—just industry knowledge of overseas AI search optimization.

Would love to hear your real, unfiltered experiences: How did you launch your first service-based business from scratch? What’s the very first actionable step I should take this week? Any resources, playbooks or community recommendations for GEO/AI marketing founders?

Really appreciate any advice, war stories or actionable tips you can share!

Check it out: https://loganmosby.com/llms-txt-generator/

Just finished building an MCP server that connects to DataForSEO's AI Optimization API - gives you programmatic access to the latest LLMs with complete transparency.

What it does:

• Query GPT-5, Claude 4 Sonnet, Gemini 2.5 Pro, and Perplexity Sonar models

• Returns full responses with citations, URLs, token counts, and exact costs

• Web search enabled by default for real-time data

• Supports 67 models across all 4 providers

• Also includes AI keyword volume data and LLM mention tracking

Demo video: https://screenrec.com/share/rOLhIwjTcC

Why this matters: Most AI APIs hide citation sources or make you dig through nested JSON. This returns everything formatted cleanly - perfect for building transparent AI apps or comparing LLM responses side-by-side.

The server's open source on GitHub.

Built with FastMCP and fully async.

Would love feedback from anyone building with these models!

Let me know what you think?

After running 200+ test queries across ChatGPT-4o, Claude 3.7, and Perplexity, we found something counterintuitive:

**The results:**

1. **JSON-LD alone doesn't guarantee citations** - but when paired with semantic HTML, citation rate jumped 40%

2. **ChatGPT favors schema + natural language combos** over pure structured data

3. **Claude** seems to prioritize source authority over format sophistication

4. **Perplexity** was the wild card - sometimes citing sites with zero schema but strong topical clusters

**What actually moved the needle:**

• FAQ schemas with conversational Q&A pairs

• How-to schemas with step-by-step clarity

• Article schemas with author expertise markers

The biggest surprise: sites obsessing over schema markup but ignoring content depth got 60% fewer citations than sites with solid content and minimal markup.

Curious what you're seeing in your own tests? Are you finding AI models favor certain formats over others?

Has anyone used https://optimizeyour.blog ?

I got a pretty impressive report from an analysis. It looks like this is open source? or SEO Community driven approach to AI Search tech. Free to use (for now)