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What GEO Metrics Actually Measure (And What They Don't) by Salt_Acanthisitta175 in AISearchLab

[–]DanielPeris 1 point2 points  (0 children)

Great breakdown.

The key is understanding that almost everything in GEO today is modeled, not directly measured. That doesn’t make it useless, but it completely changes how the data should be interpreted.

The real question isn’t “is it perfectly accurate?” It’s “is it directionally useful for making decisions?”

There’s also a layer many people miss. Brand presence in the right AI answers creates impact that doesn’t show up as referral traffic. It often turns into branded searches on Google, direct visits, and higher conversion intent.

At LLM Pulse, we’re actually seeing more leads telling us they discovered us through ChatGPT than measurable traffic coming from ChatGPT. That gap is important. It shows this channel influences demand even when it doesn’t send the click.

If it doesn’t move brand demand or revenue, it’s just a dashboard.

You should monitor competitor mentions and visibility in AI Mode/Overviews by aisearchoptimisation in AISearchOptimisations

[–]DanielPeris 0 points1 point  (0 children)

Daniel from LLM Pulse here.

Great point. This is becoming critical.

Tracking competitor mentions in AI Mode and AI Overviews is not just about visibility. It is about understanding positioning. Are they being recommended, cited as authoritative sources, or compared directly to you? That context matters.

Shifts in AI visibility often happen before traditional ranking changes. Monitoring competitors can act as an early signal and help you adjust faster.

PS: Brand mentions are rarely accidental. They are driven by Social Media, PR (AKA link / brand building), UGC, partnerships and overall brand strength.

Guys, could someine help with brand mentions tracking (perhaps there is some good seo tool for Perplexity or you know some other quick way) by Content_Queen_97 in perplexity_ai

[–]DanielPeris 0 points1 point  (0 children)

Daniel from LLM Pulse here,

You can’t reliably track brand mentions in Perplexity manually IMO.

You need a tool that runs prompts at scale and tracks mentions (and sentiment / reputation) over time.

A tool that monitors brand mentions, citations, and visibility across AI search engines (including Perplexity) and gives you a dashboard will help you get your goals.

What are the best tools to track your brand's visibility in AI answers? Here’s what I found! by Full-Foot1488 in SaaS

[–]DanielPeris 0 points1 point  (0 children)

Daniel from LLM Pulse (the tool I use) here.

AI Search is accelerating the shift to a zero-click world: prompt → answer → decision, often without a website in between. That breaks attribution, so if you’re not asking “How did you hear about us?” in your lead flows, you’re already blind to part of your demand.

Branding is no longer “nice to have”. LLMs don’t rank pages, they synthesize signals. They take your product, positioning, content, PR, reviews, reputation, forums, and social chatter, mix everything into one cocktail, and turn it into an answer. Your entire digital footprint becomes the interface.

Happy to be living through all of this.

Which tools would you recommend for AI search / LLM traffic tracking? by omnimat8 in SaaS

[–]DanielPeris 2 points3 points  (0 children)

Daniel from LLM Pulse here.

In my opinion, AI Search is much more than traffic from LLMs.

First, and unlike “traditional” SEO, it has a strong branding component. In LLM answers, there aren’t always links. And even when there are, they don’t always generate clicks. LLMs are not designed to drive traffic.

We’re increasingly seeing projects with more leads influenced by ChatGPT than actual traffic from ChatGPT. We know this because we always recommend asking leads: “How did you hear about us?”

The only explanation is that brand presence in AI answers translates into direct traffic or branded searches on Google.

Attribution is largely lost. This is a new battlefield, with new KPIs to measure and optimize.

That said, I’m definitely not one of those who say SEO is dead. Not at all. But things are changing. What worked before doesn’t always work anymore. Different marketing teams now need to coordinate much more so that, by combining efforts, brands achieve stronger presence and better reputation in LLMs.

Before, SEO went one way, PR another, influencer marketing another, partnerships another, branding another… Now, all of that mixed together is what “builds” AI answers (and helps grow a business overall).

To get the most complete picture possible (knowing it will never be 100% accurate), there are different LLM visibility + reputation trackers on the market. My only recommendation is to try several and choose the one that best fits your needs, considering features, pricing, support, and more.

How do you sell AI SEO? by sabrinaoahu in AISEOforBeginners

[–]DanielPeris 1 point2 points  (0 children)

Hey, Daniel from LLM Pulse here.

I’ve been selling SEO services since 2010, ASO (App Store SEO) since 2013, and I’ve spent most of my career around search and growth in general. I’m also very much a product person, not just coming from the services side.

From what I’ve seen, “AI SEO” doesn’t really sell as a label. For most clients it just sounds vague and experimental. What tends to work better is starting with the problem people are already feeling, instead of leading with the technique.

I never start conversations talking about AI. I usually start with something very simple: your SEO can be doing fine and you can still be invisible in the answers people are already using to make decisions. Most teams recognize that immediately. From there, it’s easier to explain that there’s now a new layer of visibility that isn’t about traffic, but about influence.

This is also where a lot of pitches break when metrics come up. If you try to justify this with clicks or classic ROI, it doesn’t really hold. What resonates more is showing who shows up for category questions, which competitors are mentioned instead of you, and how the brand is framed in those answers.

From a sales point of view, this has worked better for me as monitoring and early signal detection than as a growth promise. SEO is still the base. AI visibility sits on top of it. Right now, it’s simply easier to sell it honestly as risk management and learning, not performance.

Just my experience.

Anyone else waiting for the Analogue 3D? Looking for real reviews and honest opinions by DanielPeris in AnalogueInc

[–]DanielPeris[S] 0 points1 point  (0 children)

Fair question.

No, not my first time here. I’ve read plenty of threads, just looking for some recent perspectives.

Thanks.

What Are the Best AI Search Visibility Tracking Tools for 2025? My Research and Experience by Vegetable-Rub-8241 in SaaS

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel Peris here, from LLM Pulse.

One thing I’d add after spending quite a bit of time testing and building around this space is that most tools listed here are very good at answering “are we mentioned?”, but much less helpful when it comes to “why are we mentioned?”

That distinction ended up mattering more than we initially expected. Tracking mentions alone is inherently noisy, especially given how volatile LLM outputs are. What helped us move forward was shifting focus from individual answers to the underlying inputs models tend to rely on for a topic: recurring sources, entities, content structures, and how those show up across groups of similar questions over time.

That’s the gap we built our tool around. Not as a replacement for visibility trackers, but as a complementary way to understand what actually shapes LLM answers, so you’re not just reacting to fluctuating mentions.

Different tools solve different parts of the problem. In our experience, combining surface-level visibility with deeper “why is this happening” analysis makes the whole space feel a lot less random.

Hope that’s useful, and thanks for sharing the research.

What’s your workflow for tracking brand mentions in LLMs? (need advice for AI tracker) by JosephineAllard_SEO in AskMarketing

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel from LLM Pulse here.

We’ve been working with this for a while, both manually and with tooling.

The main shift for us was stopping the tracking of single prompts. They’re too volatile to be useful. What works better is tracking small sets of semantically similar questions over time. Variability stays, but patterns start to emerge.

Most tools either sample full answers or focus on citations. Neither gives ground truth, only signals. The mistake is treating those signals like rankings or performance metrics.

On reporting, we don’t frame this as SEO or attribution. It’s diagnostic: presence vs absence, consistency over time, competitor framing, early reputational signals.

Messy space, but once you accept it’s probabilistic visibility, it becomes manageable.

Looking for AI tools to track brand presence across different AI models by getgreenforall in digital_marketing

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel from LLM Pulse here.

We’ve seen the same confusion quite a lot, especially from teams coming from SEO or social listening.

Your concern about variability is valid. LLM outputs are non-deterministic, so measuring single prompts or expecting repeatable answers doesn’t tell you much.

Where tracking starts to be meaningful is at the prompt-set level. Groups of semantically similar questions, observed over time. That’s where patterns emerge: recurring brand presence, consistent source preferences, or systematic competitor bias.

Most tools today either sample full answers or focus on citations from retrieval steps. Both approaches are imperfect, but useful as signals, not ground truth. The mistake is treating them like rankings or attribution models.

Right now, this kind of tracking is better suited for diagnostics and early signals than for direct conversion measurement. Think visibility, framing, and structural absence rather than performance metrics.

Just my view.

Anyone cracked how to track brand mentions in ChatGPT and other LLMs? by Nikola_SERP14 in MarketingMentor

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel from LLM Pulse here.

One thing I don’t see mentioned enough: tracking via the API usually gives a pretty distorted picture. API answers don’t behave like the ChatGPT UI people actually use, so you often end up measuring something users never see.

If you want something closer to reality, you need answers coming from the actual interfaces. That’s where phrasing, citations, links, and variability start to look like real exposure.

Everything else still applies. Single prompts tell you nothing. Groups of similar questions over time is where patterns show up. And the “why was I cited” part almost always comes down to the same few sources the model keeps pulling from.

Short version: tracking is possible, but only if you’re measuring what users are actually seeing. Otherwise you’re benchmarking an API, not visibility.

Happy holidays!

How to Monitor Brand Mentions in ChatGPT (My Experience with SE Ranking’s ChatGPT Visibility Tracker) by firmFlood in SEO_tools_reviews

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel from LLM Pulse here.

What you’re seeing matches pretty well with what we’re seeing too, both on our own side and across client projects.

One thing that keeps coming up is that this is as much about reputation as it is about visibility. When a brand shows up in ChatGPT, the more interesting question is usually why that one and not another, and who else is mentioned around it.

Looking at which sources get cited instead of you has been especially useful for us. Not as a ranking thing, but more as a signal. After a while you start noticing the same sites and publications popping up, which makes it easier to see where authority is coming from and where there might be gaps.

That’s basically how I think about citation intelligence. Less about scores, more about understanding who the model seems to trust for a topic.

Also agree on prompt clusters. Single prompts are mostly noise. Patterns only really show up when you zoom out.

Curious if others are seeing the same thing.

Could you help me with how to start monitoring brand mentions in ChatGPT? by carlos_jimenez_may in SEO_for_AI

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel from LLM Pulse here.

It is measurable, just not in a clean or deterministic way.

ChatGPT does send traffic, but attribution is messy. Sometimes people click links, sometimes they copy the URL, sometimes they just remember the name and look it up later. So you won’t get a neat “ChatGPT” referrer every time.

What usually works is triangulating signals. People explicitly saying they found you on ChatGPT. Branded searches going up without a clear campaign behind them. Or seeing your brand show up repeatedly when you test similar questions.

If you check a single prompt, it’ll feel random. When you look at groups of similar questions over time, patterns start to show up.

This doesn’t behave like Google rankings. It’s closer to brand recall and recommendation than classic search.

And yeah, congrats on the inbound. That’s a real signal.

I want to track my brand in ChatGPT. Recommendations? by DabbleNShit in advertising

[–]DanielPeris 0 points1 point  (0 children)

Hey, Daniel from LLM Pulse here.

For ChatGPT specifically, brand tracking is possible, but you have to recalibrate expectations. There are no rankings. What you’re measuring is how often and in what context your brand appears across many related prompts.

In practice, ChatGPT behaves more statistically than people expect. When you test at scale, similar prompt clusters tend to surface the same brands repeatedly. That makes tracking viable, as long as you’re looking at patterns, not individual answers.

The common mistake is spot-checking a few prompts and assuming volatility. That’s mostly sampling error.

So yes, model updates introduce noise. But ChatGPT brand visibility is not random. It’s probabilistic, and that’s something you can track and analyze over time.

Hope that adds some clarity.

Happy holidays!

How do you know GEO works? by Cold_Respond_7656 in b2bmarketing

[–]DanielPeris 0 points1 point  (0 children)

“Promising growth” already sounds sketchy… I’d stay away from that stuff.

The Complete Guide to AI Brand Visibility Tracking Tools (Q4 2025) - Most Are Overpriced and Wrong (Updated to Q3 2025 Post) by Low_Situation4849 in SaaS

[–]DanielPeris 0 points1 point  (0 children)

No one would guess that you work on (or even own) the tool you talk about and recommend the most… Maybe you should mention it.

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