u/JackM206

Been thinking about what actually makes brands act on AI visibility, and it’s never the number. Nobody moves because they got a 58.

What moves people is seeing the actual answer: “when someone asks for the best [your category], the model recommends your competitor by name.” That’s not a metric, that’s a receipt.

Which makes me think the whole space is framing this wrong. We keep talking about scores and rank-style tracking, but the unit that matters is the query-level outcome: who got named, who got skipped, and what sources the model leaned on to decide.

Curious if others see the same thing — do clients/teams react to scores, or only when they see the raw answers?

Been building an AI-visibility tool (checks how brands show up when people ask ChatGPT/Claude/Perplexity for recommendations). Had clicks coming in and almost nobody completing the core action. My gut said "I need more traffic."

I was wrong. The problem was I asked people for their email before showing them any result. Cold visitors who just landed don't hand over an email to a tool they've known for 8 seconds. They bounce.

Moved the gate — show the result first, ask for the email after to unlock the full version. Same traffic, and people are actually getting through now.

The lesson I keep relearning: when something isn't converting, "get more traffic" is usually the wrong instinct. More traffic just sends more people to bounce off the same wall. Find the wall first.

Still early, and turning these into signups is the next mountain. But felt good to watch it finally work. Anyone else had a "it was never the traffic" moment?

I help run Relevyn (relevyn.com) -- we track how brands show up when people ask ChatGPT, Claude, Perplexity, etc... for recommendations. Basically, SEO but for AI answers instead of Google.

We just opened up an affiliate program, and I'd rather be upfront that this is me recruiting affiliates than pretend it's a neutral post.

The deal: 50% recurring commission, paid out via endorsely. If you write to marketers, SEO folks, agencies, or founders, AEO/GEO is something a lot of them are starting to care about and almost nobody has a tool recommendation ready when it comes up.

Honest context: we're early. The product works and people are scanning, but I'm not going to oversell traffic volume or conversion data I don't have yet. If you want to kick the tires first, the scan is free and you can see your own brand's score without even giving an email.

Here's the Link to the program. Happy to answer anything about commission structure, what converts, or the product itself in the comments.

Been going back and forth with people building in this space and I've flipped my thinking. A single "here's your AI visibility score" snapshot is borderline misleading — answers shift run to run and model to model, so one number on one day tells you almost nothing.

The thing that actually matters is tracking the same brand on the same queries over time, so you can tell whether what you published actually moved anything vs. just noise.

Curious where people land on this — is anyone tracking AI visibility as a trend, or is it still mostly one-off checks? And how are you handling the run-to-run variance?

Been going back and forth with people building in this space and I've flipped my thinking. A single "here's your AI visibility score" snapshot is borderline misleading — answers shift run to run and model to model, so one number on one day tells you almost nothing.

The thing that actually matters is tracking the same brand on the same queries over time, so you can tell whether what you published actually moved anything vs. just noise.

Curious where people land on this — is anyone tracking AI visibility as a trend, or is it still mostly one-off checks? And how are you handling the run-to-run variance?

Spent this week talking to people building in the AI-visibility space, and one thing keeps coming up that I underestimated:

Showing up in AI answers barely tracks with Google rank. A brand can sit on page 1 of Google and get named by zero assistants.

What seems to actually drive it is what *other* sources say about you — Reddit, reviews, roundups — not your own site.

Still figuring out how much of this is stable vs noise (answers shift run to run). Anyone else digging into this? Curious what you’re seeing.

Most of us still measure visibility by Google rankings. But a growing chunk of buyers now open ChatGPT, Claude, or Perplexity and ask “best \[category\] for \[use case\]” before they ever hit a search bar.

So I tested it. Same buyer questions, asked to the assistants instead of Google. The brands they name are mostly *not* the ones winning search. Competitors who barely rank get recommended every time. Some who dominate Google don’t surface at all. And there’s no list of ten links to scroll — it’s a short, confident answer, so being left off is basically being invisible.

What I still can’t pin down is what drives it. My guess is it leans on third-party signals — reviews, Reddit threads, roundup articles, Wikipedia — more than your own site. But I’d love to be corrected.

Has anyone here actually checked their AI visibility against their Google rankings? Did they line up? And if you’ve managed to get mentioned more often, what moved it?

For local businesses, “near me” used to basically mean Google Maps and maybe a few review sites.

Now you’ve got people asking AI tools stuff like:

* “Which plumber near me actually shows up on time?”
* “Best med spa in \[city\] for Botox?”

A lot of those answers are being influenced by:

* How often you’re mentioned on Reddit and niche forums.
* Whether your info is consistent across the web.
* The content structure on your own site and profiles.

But here’s the issue: most owners have zero way to see if they’re even appearing in those AI answers, let alone whether the description is accurate or positive.

For those doing local SEO or running local businesses:

* Are you trying to measure “AI visibility” at all?
* Are you just doubling down on traditional local SEO and hoping AI follows?
* Have you seen any real-world impact (good or bad) from AI tools recommending or ignoring you?

Would love to hear how people are thinking about this, especially agencies doing local campaigns.

Most teams I know have dashboards for traffic, rankings, conversions, CAC, all of it.
But when it comes to AI assistants (ChatGPT, Gemini, Perplexity, etc.), there’s basically no visibility into how the brand actually shows up.
Stuff like:
• When someone asks “best [category] tools for [use case]”, are we mentioned at all?
• If they ask non‑branded prompts (“how do I solve X?”), do we show up in the recommended tools or just our competitors?
• Are the answers using our positioning, or describing our category in a way that makes us look like a commodity?
Right now the only “workflow” I see is people manually copy‑pasting prompts into AI once in a while and eyeballing the answers.
Questions:
• Is anyone treating AI visibility as its own layer, separate from SEO?
• Have you built any internal process to track this over time (same prompts, same tools, recurring checks)?
• If you’ve tried, what broke first: consistency, time, or actually making sense of the results?
Not looking for pitches, just trying to understand how people are operationalizing this, if at all.

Seeing more talk lately about “AI visibility” tools that promise to track how often your brand is surfaced in AI assistants vs competitors.

On paper the pain is real:

• CMOs ask “Are we being recommended by ChatGPT / Perplexity when people ask about tools like ours?”
• Product marketing wants to know if AI overviews describe the category in a way that favors their positioning.
• Founders just want to know if they exist at all in these answers.

But there are obvious challenges:

• No standardized “rankings” across AI tools.
• Constant model updates and prompt variance.
• Hard to separate signal (real gaps) from noise (one-off weird answers).

For SaaS folks and marketers:

• Is this something you’re budgeting for or reporting on?
• Or do you see AI visibility tracking as a nice-to-have until the ecosystem matures more?

Interested in honest takes, especially from teams who’ve tried to build internal dashboards or adopted early tools in this space.

More people are asking AI assistants what to buy, which tools to use, and which brands to trust. That means a lot of “discovery” is quietly moving from Google into answers from ChatGPT, Claude, Gemini, etc.
The strange part: most founders and marketers have no idea whether their brand even shows up in those answers.
That’s why I built Relevyn.
Relevyn is an AI visibility tracking tool that focuses on three things:
• Shows whether major AI assistants mention your brand at all
• Gives you an AI visibility score instead of leaving you to guess
• Highlights how your brand is described and what you can do to improve that presence
I’m sharing this here because I’m trying to validate whether this is a problem people actually care about yet, or if it’s still “too early.”
If you had access to a tool like Relevyn, what would be most useful to you?
• Knowing if/when AI tools recommend your brand
• Seeing how often competitors show up compared to you
• Getting suggestions for content/SEO that would improve AI visibility
• Alerts when your visibility suddenly spikes or drops
Happy to answer questions, share more details, or give early access to anyone who wants to experiment with AI visibility as part of their marketing stack.
Not affiliated with Reddit—just a builder trying to make it easier to see how AI “sees” your brand.

Right now, a lot of brand discovery is quietly shifting into AI assistants. People ask ChatGPT, Claude, and Gemini things like:
• “What are the best tools for X?”
• “Which services should I use for Y?”
• “Who are the top options in this niche?”
The problem: most brands have no clue whether they’re actually being mentioned in those answers—or if competitors are getting all the recommendations.
That’s why I built Relevyn.
Think of it like a “credit score” for your brand’s visibility inside AI:
• It checks whether major AI assistants mention your brand at all
• Turns that into a simple visibility score you can track over time
• Shows examples of how your brand is described (or ignored) in AI responses
• Gives practical ideas for how to improve that visibility through content and SEO, instead of guessing
I’m not here to drop a hard sell—I’m trying to learn from people who actually care about this space.
If you’re a founder, marketer, or SEO person, I’d love your take on:
• Is “AI visibility” something you’re starting to think about, or still a future problem?
• What data or alerts would make a tool like this genuinely useful (mentions, competitor comparisons, spikes/drops over time, etc.)?
• Would you want this as a standalone tool, or something that plugs into your existing analytics stack?
I’m happy to share early access, walk through what Relevyn does today, and collect brutally honest feedback on what should be added, changed, or removed.
Not affiliated with Reddit—just building a tool to answer a simple question:
“When people ask AI about my niche… does my brand show up or not?”

Shipped @ Relevyn today:
- Free GEO audit (no signup)
- Slack competitor alerts
- Content planner
- Draft library
- CSV export
- Mobile pass
- Security related bugs & fixes

Feel free to see what bugs need to be fixed would love feedback on it!

I work full-time and build Relevyn on nights and weekends. It’s a small “SEO for AI + search visibility” tool: it tracks how often AI assistants and search engines actually mention or surface your brand, and then gives you a simple game plan to improve that visibility instead of just vague “do more content” advice.
I’m pretty happy with the product direction so far: keep it narrow, focus on visibility signals, and make the output dead simple for busy founders and small-business owners who don’t want to become SEO experts. I’m not trying to turn it into a giant platform; I want it to feel more like a visibility radar that quietly tells you where you’re invisible and what to fix first.
Where I’m completely unsure is go-to-market.
Right now my reality looks like:
• Solo founder, limited time, zero funding.
• Target users are small business owners and indie founders who care about being discoverable but don’t have a marketing team.
• I can talk about “visibility” all day, but most people only think in terms of “traffic” or “rankings,” so messaging feels off.
I’m not trying to sneak in a promo here; I already have a site up and some early users. What I really want from this post is perspective from people a few steps ahead of me:
• If your product solves a visibility/SEO-ish problem, what actually worked to get your first paying users without burning yourself out?
• Did you find it better to market to agencies (who resell your tool) or directly to small businesses/founders?
• How did you describe the problem in plain language so people “got it” without a 10-minute explanation?
Any blunt feedback on the positioning/strategy side is welcome. If you were in my situation – full-time job, building Relevyn as a focused visibility tool – how would you approach getting it in front of the right people over the next 3–6 months?

I kept noticing that more people are using AI assistants to discover tools and services, but most brands still have no idea whether they even show up in those answers.
So I built Relevyn.
It tracks whether AI assistants like ChatGPT, Claude, and Gemini mention your brand, gives you an AI visibility score, and points to ways you can improve that visibility through content and SEO.
What I wanted was something simple:
• See whether AI tools know your brand exists
• Understand how your brand is being described
• Get ideas on how to improve visibility instead of guessing
I’m sharing this here because I’d really like honest feedback from founders, marketers, and SEO people.
Would this be useful to your business, or is AI visibility still too early to care about?

We just launched Relevyn and would love some honest feedback from other startup folks.
Relevyn is an “AI visibility + SEO” tool. It checks how often AI assistants (ChatGPT, Claude, Gemini, Perplexity) and search results actually mention or surface your brand, then turns that into:
• An AI visibility score
• A view of where competitors are getting mentioned and you aren’t
• A simple, prioritized plan for what to fix or create next
We built it for agencies and small teams that care about showing up in AI answers and search, but don’t have time to reverse‑engineer every query or overview.
Right now we’re trying to validate:
• Is “AI visibility” as a concept clear enough?
• Which use case is more valuable: tracking your own brand vs. tracking competitors?
• What would you need to see in the product to consider paying for it?
If you’re open to taking a quick look at Relevyn.com and sharing blunt feedback on the positioning, UX, or feature set, we’d really appreciate it. Happy to answer any questions or share more details in the comments.

What is the best way to get clients for a small online business startup I've started a new Geo/aeo visibility tool (Relevyn.com) and need help gaining traction any tips?

I’m building Relevyn — basically “SEO for AI.”
It tracks how often AI assistants (ChatGPT, Claude, Gemini, etc.) mention your brand, gives you an AI visibility score, and shows what to improve so you get recommended more often. Check out the site and tell me what I can do to improve!