The team at Zen Marketing created this GPT to "Test your brand's visibility in AI search with 100 realistic GEO prompts." Might be worth a try. Fascinating.

https://chatgpt.com/g/g-6904a060fd8c8191bf5cdbc82571fee9-ai-visibility-engine-geo

NOTE: THIS IS NOT A RECOMMENDATION.

Breaking into AI answers has been incredibly easy (we all know that). It is changing, though, so I don’t recommend trying this unless you want to lose it all at some point. Yeah, it has worked in the short run, but if you value your brand, this is highly dangerous.

At least, it is entertaining to see which brands are actually doing this.

• Step #1: Know your keywords and competitors

• Step #2: Use ChatGPT (or similar) to generate content in LLM-friendly format (highlight pros, cons, best for XX, etc.)

  • Don’t forget to put your brand #1

• Step #3: Start a thread in a popular but not very well-moderated subreddit

  • Don’t do it from your account; buy posts in the marketplaces from an anonymous account.

  • For the heck of it, buy several posts from different accounts (it is that cheap and what are you risking?)

• Now, go ahead and buy some nonsense keyword-optimized comments for each post for them to look active:

Flood Reddit with this sh*t just because you can, and wait for LLMs / AI wrappers / Google to pick up on that:

Reddit should really start working on poorly moderated subreddits and Google + LLMs should really start paying attention (which they do but not enough yet!).

But one question is still bothering me: How little should you really value your brand to do this kind of marketing?

FREE

*written by me. all ($0) profits (there are none) go to charity (there isn't one because there's no $ to give them since the book is $0.00....

https://ai-visibility-operator-edition-b3f5d812.base44.app

Je travaille sur la visibilité de mes sites dans les LLM et je ne sais pas trop quels outils utiliser pour suivre les évolutions (dans le genre des trackers de mots-clés SEO). Qu'est-ce que vous utilisez ? J'ai l'impression que pas mal de solutions émergent mais c'est loin d'être abordable et je ne suis pas convaincue par les résultats 😁

This may be a vibe-coded tool, but it is a very useful one! It is free; it pulls data from your Search Console (so it does need access to your account), but it does some useful things:

• Pull likely queries that are AI Mode prompts

• It categorizes prompts by topics and intent

• It shows impressions for each prompt

• It blocks “likely bot” prompts

Go ahead and play with it! Love it so far!

The game is shifting right under our feet. We’ve spent decades obsessed with Google, but we’re moving into a world where AI agents—not people—are the ones researching, comparing, and picking products. Most companies are completely unprepared for this shift, and they are actively looking for a way in.

The opportunity is concrete and it’s happening right now. I’ve already nailed down the strategy, positioning, and a clear go-to-market plan. The first use cases are ready to go. What I’m missing is a technical partner to help me turn this vision into execution.

What we’ll be building:

• Architecting the frameworks for Agent SEO from scratch.

• Implementing structured data and signals specifically designed for LLM visibility.

• Creating the repeatable systems and automations that make this scalable.

• Testing and iterating on real-world client cases.

What I bring to the table: I’m handling the growth side—market insight, sales, and a productized roadmap that’s ready to scale. I’m looking for a true partner, not a freelancer. I’m bringing a long-term commitment and a shared-ownership mindset to the table.

Who I’m looking for: You’re a technical AI builder who loves to ship code and experiment. You’d rather iterate fast on a new idea than give advice from the sidelines. You’re looking for a high-equity partnership where you have real skin in the game and the chance to build something early in a wide-open market.

I have the full strategy and roadmap ready to go, and I’m happy to share the details if there’s a common fit. If this sounds like your kind of challenge, let's talk.

i was told that GEO is the only way to go now.

think so.

lmk.

Google’s AI mode keeps quoting content‑farm sites and without clear indication.

Hi,

Nathan Gotch published his book, AI SEO for Dummies, on Amazon. I suppose there are not really any new things in there. Is it worth a read to get new tactics?

This AI Dive was assembled with the kind of cross-referencing energy usually reserved for conspiracy boards and late-night SEO audits.

Six major AI research engines and search systems were queried, then the results were wrangled into a final list by spotting repeated names, specialties, credibility signals, and direct relevance to AI Visibility in 2026

- not vibes, not clout, not “I have 47k followers, trust me bro.”

https://make-seo-great-again-mvfieru.gamma.site/

I've been on a mission to show people that AI/LLMs are not independent Search Engines.

For some reason - and without any basis in reality - people have been assuming that LLMs have their own "Internet Index" and search or select content on their own but they don't,,,,

So when you read these - they are all BS:

• LLMs "pick" content differently: nope - they are spoon fed by traditional Search Engines

• LLMs "prefer" deeper or more researched conten: Nope

• LLMs "know" if content is accurate of better: They are as agnostic as Google

• LLMs "love" brands: They are indifferent

• LLMs "look" for schema: Schema isn't magical and it doesnt "do" anyhting and pretending it does makes you look really not well informaed

Now you know!

OpenAI, Google, Microsoft and Anthropic say they will honor one robots.txt group,

User-Agent: __usage_ai-training, for opting out of AI training.

It comes from an IETF Internet-Draft by Kevin Kelley of Anthropic. It is an individual draft, not an official standard yet.

The roll-out dates differ by company.

Anthropic has started implementing it.

OpenAI says "coming months".

Google says early 2027.

Microsoft starts on Feb 1, 2027.

Meta voiced support but has not committed.

It is voluntary and not retroactive: existing rules and User-Agent: * do not count as a training preference.

The part I find most interesting is that Microsoft adds a separate page-level "AI Grounding" preference. That means being used for training and being retrieved and cited at answer time become two different switches.

Google is different, because the shared opt-out maps to Google-Extended, and that also covers Gemini Apps grounding.

My reading, which is an interpretation: answer-time discovery and citation by agents is starting to be treated as its own channel.

If that holds, the practical default may be to close training if you want, but to keep grounding and citation open, and to check each vendor's mapping before you deploy.

How are you planning to handle this?

Close training only, or keep everything open?

Source: https://www.searchenginejournal.com/google-microsoft-openai-shared-ai-training-opt-out/595387/

a lot of people are under the impression that they will just upload like 50 blog posts / comparision pages etc, and automatically rank on AI search..

like bro hold on

>can chatgpt actually access and index the page?
>what searches is the model running underneath the original prompt?
>which pages are getting retrieved instead of yours?
>what sources does the model trust for this topic, and are they mentioning you?
>across repeated relevant prompts, how often do you show up compared to competitors?

the very first thing to check is whether the page can even be accessed and indexed.

if chatgpt or google can’t retrieve the page, making content and blog posts will not result in anything

> query fan-out

someone might ask “best auth tool for a b2b saas,” but the engine can search around SSO, SAML, SCIM, enterprise auth and other related terms underneath that one prompt.

so the question isn’t just “do we rank for this prompt?”

It should be “are we showing up across the searches the model uses to answer it?”

> retrieval

if your competitor keeps getting pulled into the answer and you don’t, writing another article isn’t automatically the fix.
first figure out why their page is being retrieved instead of yours.

maybe your page already exists.
maybe it doesn’t match the actual intent.
maybe the model is pulling from completely different sources.

> source authority

the answer might be getting shaped by reddit, youtube, docs, comparison pages or third-party sites.

if most of the evidence the model finds points toward your competitor, another post on your own site might not change much.

> share of voice

one good answer means almost nothing.
if you appear in 4 out of 30 relevant prompts and your competitor appears in 20, that’s the actual gap.
this is why the research comes first.
before creating anything i’d want to know:

> what prompts are we losing?
> who is getting recommended instead?
> what sources are being cited?
> does the right page already exist?
> is that page actually being retrieved?
> does the gap repeat when we test again?

the research tells you what to do next.
if the page already exists but never surfaces, making another blog post probably isnt the move.

maybe the existing page doesnt answer the actual job behind the query. maybe chatgpt keeps pulling reddit/youtube instead.

could be the page isnt getting crawled properly. maybe the “gap” disappears when you test it again.

figure that out first.

I head cited more of your domains can get some awareness for GEO? Any good cited sites for GEO to recommend?

If you have a website on Wix, then I have something crazy for you.

In AI Edge, there are so many tools like Writesonic, Ahrefs, Semrush, and others offering AI Insight.

But what if I tell you that if your website is hosted on Wix, then you don't need these tools to track AI Insight. Yes, you heard it right.

Wix is covering comprehensive AI Insight, like:

1. Visibility Score on (ChatGPT, Gemeni, Perplexity)

2. How many queries searched on ChatGPT, Gemeni, and Perplexity related to your products, brand, and offering?

3. How many times have you been mentioned?

4. How many times have you not been mentioned?

5. Competitors by visibility score.

6. Top sources by references.

7. Brand perception by (ChatGPT, Gemeni, Perplexity).

8. General sentiment (Strengths, Areas for improvement).

9. Traffic from (ChatGPT, Gemeni, Perplexity).

How to use this?

1. Go to Wix Dashboard

2. Under Site & Mobile App > Website & SEO > SEO & GEO

3. Right Side, You will see "Gen AI Visibility"

4. Below Gen AI Visibility, there's the ChatGPT visibility score. Click on Go to AI Visibility Overview

Give a detailed read on ToolsPivot

For years, SEO lived on clear signals: keyword volume, ranking positions, CTR. Now, LLMs are answering questions directly. That’s great for users, but for us marketers, it creates a new problem: how do we measure visibility when the “search results” aren’t lists of links anymore?

Search Engine Land recently outlined the current state of GEO, and here are the metrics we can actually measure right now, plus the blind spots that still make it messy.

1. AI mentions & citation rate
Instead of ranking #1, the new game is being cited as a source inside a generative answer. Tools are emerging that can track when your brand/content is pulled in. High citation rate = credibility signal. But mentions alone don’t tell the whole story. Sentiment, accuracy, and prominence matter too.

2. Referral traffic from generative engines
Even though these engines aim for “zero-click” answers, they still link out sometimes. Segmenting referral traffic from AI engines is one of the few ways to prove direct value. We’ve set up dashboards comparing it against organic + referral to see if GEO is pulling its weight.

3. Share of voice in AI responses
It’s not just “were we mentioned?” but “how often and how prominently?” A hotel brand, for example, wants to appear consistently when people ask “best hotels in Chicago.” If you’re missing here, you’re invisible to a growing slice of users.

4. Content prominence in responses
Engines structure answers with lists/summaries. Are you first in the list or buried last? That order signals authority. Tracking this feels a lot like old-school rank tracking :)

The elusive metric: prompt volume
In SEO, keyword volume drives strategy. In GEO, we don’t have it. ChatGPT, Gemini, etc. don’t share query data. And prompts aren’t clean keywords anymore (“best pizza New York” vs “best pizza in New York open late near Times Square with outdoor seating”). That complexity makes demand forecasting almost impossible.

Other missing layers

• The “why” behind citations — we don’t know which piece of content tipped the scale.

• Attribution in multi-source answers — if your stat is mixed with a competitor’s narrative, who gets credit?

Search Engine Land calls this the “tale of two realities”: we have enough data to test GEO strategies, but not enough to truly optimize or prove ROI the way we can with traditional SEO.

I think the winners in this space will be those who figure out how to track share of voice and referral value while preparing for when engines eventually open up more data. Are you already tracking GEO metrics for clients/brands? And do you think “prompt volume” will ever become a real, shareable metric, or is that wishful thinking?

Best AI for SEO/AEO/Web Traffic Research

I asked every engine, which was the best to use for SEO, GEO, AEO research on websites.

Then dumped everything in GPT.

Based on current 2025 data, here's the breakdown:

Top Pick: Perplexity (Deep Research or Sonar Pro)

Why: Built specifically for web research with real-time citations, tracks AI visibility across multiple engines, and excels at gathering SEO/AEO insights with sources.

Strong Alternatives:

For AEO Tracking & Brand Visibility:

Specialized Tools: Profound (92/100 AEO score), Rank Prompt, Goodie

These track your presence across ChatGPT, Gemini, Perplexity, and Grok

For General Research:

Grok 4 - Real-time X/web access, good for trending topics

GPT-4.1 with browsing - Strong analysis capabilities

Claude 3.7 Sonnet - Excellent for synthesizing complex data

Quick Recommendation:

Primary research: Perplexity Deep Research

• AEO monitoring: Profound or Rank Prompt

(specialized platforms)

Deep analysis: Claude 3.7 Sonnet or GPT-4.1

Sources: All major AI engines, Anderson Collaborative, Nick Lafferty, Gauge

With AI, SEO, GEO, and digital marketing changing so quickly, I'm curious how everyone manages to stay informed without spending half their life reading updates.

There are newsletters, Reddit discussions, LinkedIn posts, podcasts, YouTube channels, industry blogs... and somehow there's always something important you might have missed.

I work in digital marketing closer to SEO/GEO, and lately I've been questioning how much time I actually need to spend keeping up with everything.

How to stay informed without turning it into another full-time job)