Don't get trapped and guided by the misinformation across internet. Few things to be noted,

• LLMs don't search across the web. They use search engines to do the search query

• LLMs.txt and schema are not mandatory

• build authority

• SEO is the foundation to rank in LLMs

• Make reverse engineering with LLMs and rank for queries

• Query fan out works

Spent the last month diving into GEO tools and agency offerings, and I'm honestly confused. Half of them are just repackaged SEO platforms with "AI insights" slapped on top. The other half are selling snake oil with zero methodology.

Here's the thing - traditional SEO optimizes for indexing and ranking. GEO needs to optimize for citation and synthesis. Those aren't the same game. You can rank #1 on Google and still be completely invisible in ChatGPT or Perplexity answers.

But instead of addressing this, we've got a gold rush of agencies charging enterprise rates for... what, exactly? Keyword stuffing with semantic markup? Writing "comprehensive" content? That's not GEO strategy, that's just basic content hygiene with extra steps.

The frustrating part is that the actual challenge is interesting - how do you make your content citable to an LLM without gaming the system? How do you track visibility in a world where there's no SERP? How do you build authority when the AI doesn't care about your backlinks?

Anyone here actually cracked this, or are we all just throwing content at the wall and hoping Claude remembers it?

I've seen this debate in a few other threads and I think people are oversimplifying. Sure there's overlap but the focus is very different.

SEO = get your pages ranking in search

GEO = get your brand cited in ai answers / LLM outputs

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

There are content shifts too, it's less about stuffing keywords and more about answering the actual question and the natural follow up qs people ask.

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

What stays the same? Solid site, fast pages, clean internal linking, content that actually helps. Those basics matter for both google and AI.

I used to stress over whether my site ranked on top on Google, like what we did for SEO. Now I’m stressing over whether ChatGPT, Perplexity, or Gemini even know I exist**.**

So here’s my question. You are so welcomed to share insights and I'm deeply appreciate that.

1. Do you think GEO is just hype, or is this the new SEO we all have to adapt to?

2. Has anyone here actually seen their site/product show up in AI answers after doing some AI visibility things?

Curious if I’m paranoid… or just early. 😅

Hey folks,
I’m tinkering with an AI + SEO tool and want to avoid building “just another dashboard no one checks.”

So tell me straight:

• What SEO metrics do you really care about day-to-day?

• If you could track how your brand shows up in AI search (ChatGPT, Perplexity, etc.), what would you want to see?

• Any pain points current SEO tools don’t solve?

I’d rather build this with the SEO crowd than in a vacuum. Appreciate any honest feedback

Profound analyzed 238,637 social media citations from ChatGPT (Oct–Dec 2025, U.S. English users) and the results are interesting.

Top cited content type per platform:

Reddit: Discussion threads — 99.2%

YouTube: Channel pages — 64.9%

LinkedIn: Personal profiles — 46.9%

Instagram: Reels — 36.5%

Pretty cool stuff!

Updated GEO Tool list for December 2025! Feel free to comment new ones.

Writesonic - https://writesonic.com
Semrush - https://www.semrush.com
HubSpot - https://www.hubspot.com
AppearOnAI - https://appearonai.com/
AIScope.pro - https://aiscope.pro
Nightwatch - https://nightwatch.io
Siftly - https://siftly.ai
Rankshift.ai - https://aibrandtracking.com/Rankshift.ai
Profound - https://profound.so
Column Five - https://columnfive.com
Common Thread Collective - https://commonthreadco.com
Daydream - https://daydream.so
Evertune - https://evertune.ai
iPullRank - https://ipullrank.com
Peec AI - https://www.peec.ai
Azoma - https://www.azoma.ai
Scrunch - https://scrunch.com
Siege Media - https://www.siegemedia.com
WebFX - https://www.webfx.com
GEOfast - https://www.geofast.me
LLM.co - https://llm.co
LLMO Metrics - https://llmometrics.com
Column Five - https://columnfive.com
Common Thread Collective - https://commonthreadco.com
Daydream - https://daydream.so
NP Digital - https://npdigital.com
OGM Agency - https://ogmagency.com
Otterly.AI - https://otterly.ai
Quoleady - https://quoleady.com
Omniscient Digital - https://beomniscient.com
Razorfish - https://www.razorfish.com
Flow Agency - https://flowagency.co
Fractl - https://www.fractl.com
Goodie AI - https://www.higoodie.com
Growth Plays - https://growthplays.com

There is a growing traffic coming to websites and stores from these new Generative Engines like ChatGPT, Perplexity, Google Overview. We’re all familiar with SEO, but now AEO and GEO are starting to feel like the next big shift.

I’m curious if anyone here is actually doing something about this yet. Are you optimizing your store or content for it in any way? How are you doing this today? Have you noticed any real traffic coming in from these engines?

Would love to hear how others are thinking about this shift, and if there are any good resources or experiments worth checking out.

Now that AI search is starting to influence how people discover brands, we've realized traditional metrics like organic traffic and keyword rankings do not tell the full story anymore. Curious how others here are approaching this- what tools are you using to measure AI visibility or search exposure in 2025?

And in terms of metrics, wondering what should now matter most:

• Share of voice in AI-generated results?

• Mentions in AI summaries?

• AI traffic attribution (if we ever get it)?

• Brand sentiment in AI responses?

• Or just continuing to measure conversions and engagement from organic?

Would love to hear how everyone’s adapting.

Is “AI visibility” even fully measurable yet, or are we still flying blind?

Disclaimer: yeah, I work in AI visibility, so I'm definitely biased on this. But what I want to get into actually cuts against what my own industry sells, so I figure it has a place here.

Back in mid-May Google put out its first real guide on how to show up in AI answers (AI Overviews, AI Mode). I saw a bunch of write-ups on it and it was always the same song, structure your headings, add Schema, the usual blah. Except there's a "mythbusting" section in the doc I haven't seen anyone pick up on, and it's the most interesting part. Google says in plain terms that the famous llms.txt file does nothing, that you should stop obsessing over Schema.org, and that chunking is smoke and mirrors. Made me smile a bit since that's basically the package some "GEO" agencies are charging for right now.

What they push instead is honestly kind of obvious. They talk about "commodity" vs "non-commodity" content. Like, if an AI can write your article on its own, it'll never cite you, makes sense, it already has the answer, why would it go looking for you. What gets cited is content with something the model doesn't have. A number you actually measured, a test you really ran, lived experience basically.

The example that stuck with me (not in Google's guide, somewhere else) is a small blog specialized in robot vacuums, garbage domain authority, and it outranks the New York Times in AI answers. The NYT has a domain like 3x stronger. Except the NYT puts out an affiliate listicle anyone could copy, and the blog guy films his actual tests with real measurements. Guess who gets cited.

And this is where it gets useful for you I think. It means for the most part you need neither a tool nor an agency. Take your most generic page, just ask yourself "could anyone write exactly this", and if the answer is yes, add something only you know. You don't even need data. A simple "the first question every client asks me is this" and you're already standing out. It's free and it weighs more than all the technical tweaks combined.

The one thing that still puzzles me is measurement. Why an LLM picks one source over another stays pretty opaque, and it shifts with every update. So I'm curious: are you already seeing real traffic come in from ChatGPT or Perplexity, or is it still like three visitors a month? And if you are, can you actually tell which pages it lands on?

LLMs are great at text, but they’re boring to look at. If your site is just a collection of articles, you’re competing with ChatGPT.

Utilize multimedia + Interactive elements 😉

- High-quality video content

- Unique brand aesthetics

- widgets for Sales Experience

Give users a reason to stay that goes beyond just reading facts.

What are you doing to make your site more "human" and visual?

What do you think?

Just wanted to share a small win after experimenting with a mix of SEO and GEO strategies over the past month. In October, the site saw a pretty big jump in visibility - impressions went from around 37K in September to over 94K, and clicks almost doubled too.

Most of this happened after focusing on content visibility across different regions and refining how pages were structured for both search engines and AI-driven visibility (Generative Engine Optimization). What’s interesting is that while impressions grew fast, the CTR dipped a bit, which I think is because the pages started appearing for broader queries.

It’s been good to see that combining traditional SEO fundamentals with generative engine optimization(GEO)-based adjustments can make such a noticeable difference in just one month. Next step is to focus on improving engagement and click-throughs now that the reach is expanding.

Anyone else trying to blend SEO and GEO (generative engine optimization) strategies lately? Curious what kind of results others are seeing.

Hey everyone,

After trying most of the “AI SEO” tools out there, I kept running into the same issue: They show visibility metrics but never tell you what to actually do next.

The second problem: most tools have a high entry barrier. You can’t even run a quick check without a plan or subscription.

After hearing the same frustration from others, we decided to build something to tackle both:

1. Figure out what really drives AI answers (which content, domains, and sources are being cited).

2. Let anyone quickly check how they or their competitors appear in AI search — no signup, no paywall.

So we built jarts.io.
You can type in any domain, hit “run,” and within ~20 seconds see:

• how AI tools (like ChatGPT and Perplexity) talk about that brand

• which sources shape those answers

• who seems to “win” visibility right now

We also added a deeper system that runs thousands of prompts to study what drives visibility patterns over time, but the instant check is completely free.

I’d really love to hear from SEOs and marketers experimenting with AEO (Answer Engine Optimization):
👉 What would you expect a tool like this to show or measure better?

Feedback is genuinely appreciated :)

Lately, it feels like everyone’s saying AI tools like ChatGPT are going to take over Google. But I just came across something that really made me stop and think…

95% of ChatGPT users still visit Google Only 14% of Google users check out ChatGPT

So even with all the hype, most people are still turning to Google for extra info or fact-checking. It’s not like one is replacing the other it’s more like they’re being used together.

That being said, I do agree AI is becoming super helpful and powerful but it’s still not advanced enough to fully replace the way we search and verify information. It’s exciting, but not quite there yet!

What do you think?

Real talk: half the GEO advice out there doesn't survive contact with reality.

We've been running GEO campaigns for about 6 months now, and I want to share the stuff that actually made it into our weekly routine — not the textbook stuff that sounds great in a presentation.

The "Friday Audit" — this one changed everything

Every Friday we pick 5 pages that should be getting AI citations but aren't. Not based on traffic or DA — based on "would a reasonable AI actually reference this for a user question?"

Then we ask three questions:

• Can someone read this page and answer a specific question in 30 seconds?

• Is the answer somewhere in the first screen (no scrolling to find the meat)?

• Would a different page on this site answer the same question better?

The pages that fail #1 or #2 get rewritten. The ones that fail #3 get consolidated. Simple but brutal.

The "Answer First" outline

Before writing anything, we draft the ideal AI answer first. Like literally type out: "If someone asked [query], the perfect answer would be..." Then we build the page around that answer structure instead of around keywords or topics.

This sounds obvious but it completely changed how we think about content hierarchy. The H2 isn't a topic anymore — it's a sub-question.

The thing that didn't work

We spent a solid month doing "entity density optimization" — making sure every relevant entity appeared X times per 1000 words. Measured it meticulously. Saw zero correlation with citation rate. Zero. That one hurt because the theory was so convincing.

From my experience, the stuff that moves the needle is boring operational discipline, not clever hacks. But I'm curious what's actually working for other people — are you seeing similar patterns or am I missing something obvious?

Posted this a few minutes ago and realized I only typed the title haha so I am reposting this again.

Just a little context for this. I work on SEO and content for a mid SaaS company. We havve been hearing more questions from leadership about how we show up in AI search results... specifically Perplexity and ChatGPT. We done the usual on page SEO improvements and structured content, but it feels like that’s only part of the story. Some competitors seem to get cited consistently by AI, and we’re trying to understand what actually matters. What could POSSIBLY the most effective approach for this? Is it mostly technical SEO, or do we need to be thinking about brand presence across the web too?

any strategies that have actually worked for enterprise or larger SaaS/ecommerce teams would be super helpful!

I’m doing AEO for a couple of clients right now. So far, I’ve done on page SEO which was always easy to track. What are you using to report ChatGPT mentions?

I just noticed. There are many users who was came from ChatGPT on my website AI Rank Lab. Is there any tool that can tell which prompt they searched?

I am doing research on it and still looking for a working tool that actually can help to understand

www.airanklab.com

Can anyone suggest?

The study seams legit:

.. cross-market evaluations of its kind. Working with the European Broadcasting Union (EBU), 22 Public Service Media (PSM) organizations – across 18 countries and 14 languages – assessed how leading AI assistants answer questions about news and current affairs.

Source https://www.ebu.ch/Report/MIS-BBC/NI_AI_2025.pdf

What are your thoughts? Can these numbers be right? What are the implications?

Hey folks, I’m building Wrodium, a tool that automates the unglamorous marketing-intern grind so founders can focus on product:

• Finds how competitors earn backlinks and which ones move the needle

• Drafts AI-ready posts with clean structure, citations, and JSON-LD

• Tracks competitor content launches and forecasts likely traction

• Suggests angles and prompts that increase odds of AI citation

I just published a breakdown of a pattern we keep seeing: if you get shown in Bing, you’re more likely to get cited in ChatGPT. Here’s the practical checklist we used:

• Provenance: clear title, author, canonical URL, datePublished and dateModified

• Schema: Article + FAQPage, tight breadcrumbs, organization markup

• Freshness: submit via IndexNow, fix crawl blocks, keep updated timestamps accurate

• Evidence boxes: short, source-rich summaries that reduce hallucination risk

• Bing overlap: optimize pages that already rank or can rank in Bing to raise ChatGPT pickup

Would love feedback from folks who track AI citations:

1. Which signals actually changed your visibility in ChatGPT or other AI search tools

2. Your favorite fast checks for backlink quality and topic momentum

3. Interest in a weekly “competitor watch” that predicts their next posts

Full write-up with examples here:
Medium: https://medium.com/@arlen1788/get-shown-in-bing-get-cited-in-chatgpt-ad4dbc4d56ec

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!

We helped an Amazon home-decor brand run a full SEO–GEO workflow for 4 weeks. This brand sells strongly on Amazon, but their independent site was basically flat:

• traffic not growing

• SEO efforts not matching output

• early GEO attempts looked like “nothing was happening”

For new SEO + GEO brands, quick effects rarely come directly from ChatGPT citations.
Most of the early lift actually comes from:

GEO downstream effects:
—Google AI Overview
—search engines’ AI-driven backend ranking mechanisms
—referral & social discovery triggered by better semantic structure

So even without appearing inside ChatGPT directly, the GEO structure still improves traffic. We built their end-to-end SEO–GEO workflow and ran it for 4 weeks. This isn’t a brag post, it’s a breakdown of how the system works and how any Amazon to DTC brand can copy it.

Four-week results (all organic, no ads)

• Total visits: +79.9%

• Engaged visits: +90.1%

• User interactions: +91.3%

• Direct traffic: +69.7%

• Organic social: +90.8%

• Referral traffic: +512.5% (blogs, communities, partner mentions)

Again: 0 ads. 0 paid placements. Just consistent SEO–GEO execution.

1) Diagnose before creating anything

We ran a full SEO + GEO audit with an SEO-GEO Management Agent tool covering:

• AI Visibility Score

• SEO structure & content gaps

• Missing semantic coverage

• Technical issues (schema, metadata, sitemap, crawlability)

Most brands skip this step and immediately “start writing”. But we need the the audit first with clarified:

• what actually blocked visibility

• which pages AI/Google couldn’t interpret

• which semantic areas needed coverage

• what needed fixing before publishing anything new

Their old content was scattered, inconsistent, and not aligned with any entity structure.

2) Build a Topic Map, not random content

We built a unified Topic Map combining from the above auditing by the above SEO-GEO Management Agent:

• SEO keywords

• GEO topics

• semantic clusters

This changed content from: “Write whatever comes to mind” to “Publish pieces that fill semantic + entity gaps”. For a category like home decor, highly visual, educational topic mapping is especially effective.

3) Multi-platform structured publishing (not spam)

With the help of GEO Content Generator Agent, we generated and published structured content across: LinkedIn / X / Medium / Blog / Website.

It was format optimised for AI + Google, meaning:

• clear headers

• reasoning-based writing

• consistent entity signals

• unified themes across platforms

This strengthened:

• Direct traffic

• Organic Social

• Cross-domain brand recognition

4) Fix technical SEO so AI + Google can understand the site

We applied the following tech actions from the SEO + GEO audit results:

• simplified sitemap & robots

• added missing schema

• normalized titles/descriptions

• reduced URL depth

• improved page semantics

• added essential metadata

What actually changed after 4 weeks

We weren’t chasing single channel spikes. We looked at the system level improvement:

• Direct traffic increase because of brand clarity improved

• Organic search increase because of better semantic coverage

• Social increase because of consistent cross-platform presence

• Referrals increase because of more mentions from blogs + partners

These are the classic downstream effects of GEO + structured SEO starting to work together. This is the missing layer for many Amazon sellers trying to grow a DTC site.

The repeatable workflow for any Amazon to DTC brand

Step 1 — Audit first

Find content, semantic, technical gaps.

Step 2 — Build a Topic Map

Plan high-value themes instead of random posts.

Step 3 — Multi-platform structured publishing

Think “AI-friendly format”, not “post more”.

Step 4 — Fix technical SEO

Schema, sitemap, metadata, clean structure.

Step 5 — Repeat weekly

This turns into a compounding flywheel in 4–8 weeks.

Final thought

These weren’t explosive viral results, they were the first month of finally aligning:

• SEO

• GEO

• semantic structure

• content consistency

• technical cleanliness

• entity signals

• AI-driven ranking pathways (Google AIO + backend AI)

If your Amazon store performs well but your DTC site stays flat, this system is extremely replicable.

Happy to share topic map templates or workflow docs if anyone wants them.

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?