r/Rankin_AI

Early on I would prompt ChatGPT once, see my brand and call it *visible*. Then I would check the next day and it was gone. The models are non-deterministic, so a single run tells you almost nothing.

The data backs this up: studies show only around 20% of brands stay visible across five consecutive runs of the same prompt. Visible once does not mean visible.

The method that fixed it for me:

1/ Run each prompt at least 5 to 10 times (more for high-value prompts).

2/ Score it as a frequency, not a yes/no. *Appeared in 6 of 10 runs = 60%.*

3/ Spread runs across different days, because model updates and load shift results.

4/ Re-baseline after any known model version bump.

This turns a coin flip into something you can trend. It also kills the false panic when a brand *disappears* from one lucky run.

What run count is everyone else using? And do you vary temperature or keep it fixed to reduce variance?

I tested a few AI tracking / AI visibility tools recently because I wanted to understand how different platforms approach the same problem: tracking brand presence in ChatGPT, Perplexity, Gemini, AI Overviews, etc.

Here's my quick take:

1. RankinAI

Probably the most practical one for prompt tracking. I liked that it focuses on prompts, competitors, mentions and sources without making the workflow too complicated. For me, the biggest value is when you group prompts by topic or intent and start seeing patterns, not just random screenshots of AI answers.

2. Sitechecker AI Visibility Tool

A good option if you already work with SEO data and want AI visibility integrated into a broader SEO workflow. I see it more as a useful layer for SEO teams who don't want AI tracking to live separately from their regular SEO process.

3. Peec AI

Feels more like a dedicated AI visibility product. Good for monitoring how often your brand appears and how competitors show up. My concern is pricing - it scales fast once you add more prompts or competitors, so it can get expensive if you're tracking at any real volume.

4. Profound

Looks strong for bigger brands and teams that need deeper AI search monitoring. Probably too much if you only want to test a few prompt groups, but useful if AI visibility is already a serious reporting channel inside the company.

5. Semrush AI Toolkit

Interesting if your team already uses Semrush. The main advantage is that AI visibility can sit next to classic SEO metrics. But I'm not sure it's always the best choice if you need a very focused, prompt-level workflow.

My conclusion: the tool matters, but the setup matters more. If your prompts are random, your competitors are poorly selected, and you don't group queries by intent, any AI visibility tool can turn into noisy data. AI visibility tools aren't magic dashboards. They're only useful when the tracking structure is solid: clear prompt groups, relevant competitors, repeated checks and source analysis.

For me, the best setup is: prompt groups + competitor tracking + source analysis + repeated checks over time.

Curious how others are choosing tools for AI visibility: are you looking more at reporting, prompt tracking, competitor monitoring or source analysis?

Sometimes AI recommends a competitor, but the reason is weak: old reviews, generic “popular tool” wording, outdated feature lists or just because the brand is mentioned in many listicles.

For me, this is useful because it shows where the competitor is actually strong and where AI just repeats old internet patterns.

Do you analyze the reason behind competitor mentions?

For example: old pricing, old product names, removed features, wrong target audience, old competitor comparisons.

I feel this is one of the most practical use cases. Not only “does AI mention us?” But also “does AI still repeat information that is no longer true?” Do you have a process for finding and fixing outdated AI answers?

1/ SEO

2/ Content

3/ PR

4/ Brand

5/ Product marketing?

I’m asking because AI visibility does not feel like only SEO. Content matters. Citations matter. Reviews matter. Third-party mentions matter. Clear positioning matters. So I’m curious how teams organize this work. Is AI visibility part of your SEO workflow, or is it shared between several teams?

Not only keywords and SERP analysis, but also:
1/ what AI says about the topic,
2/ which brands it recommends,
3/ which sources it cites,
4/ what arguments it repeats,
5/ what product features it connects with the query.

I feel this can show what content is missing from the brand’s public footprint. Do you use AI answer analysis before writing new pages?

About two months ago, we pitched Rankin AI at Glovo Startup Lab 4.0 Demo Day, organized by Ukrainian Startup Fund and Glovo. We won first place.

Rankin AI founder ‒ Glovo Startup Lab 4.0 Demo Day

The core argument we made is that AI visibility is no longer optional. Every brand, at any scale, is already being searched for in AI tools. Most have no idea whether they even appear, or, more importantly, how they’re described by AI. And RankinAI.io can help you monitor your brand’s AI visibility and improve its performance.

Glovo co-founder, Rankin AI founder, CEO of Glovo in Ukraine, and Rankin AI marketing manager ‒ Glovo Startup Lab 4.0 Demo Day, Kyiv

I mean not just checking if the brand appears, but checking if AI explains the brand the same way you want to be known. Sometimes AI creates its own positioning from third-party sources. And this can be very different from what is written on your site.

Do you audit this gap somehow?

With Google rankings, traffic, and leads, everything is more or less clear. But when it comes to brand visibility in AI answers, it feels harder to define what “good progress” actually means. Do you ask your SEO specialist to work on AI visibility separately? And do clients usually understand what affects whether their brand appears in ChatGPT, AI Overviews, Perplexity, Gemini etc ?

Rankinai.io is an AI visibility and analytics platform for tracking your brand mentions, citations, and sentiment in AI responses, as well as your gaps vs. competitors. More than that, you get a prioritized action plan of what to fix, whom to outreach, what to publish, and what to improve.

You can start with the free plan.

Screenshots from Rankin AI platform (citation leaderbord, semantics, visibility score, mention and citation rate)

What is more important for you: getting the brand mentioned or making sure AI describes the brand correctly?

I started noticing that a mention is not always a win. Sometimes AI includes the brand, but explains it in a very generic way. Or it puts the brand in the wrong category. Or it misses the main advantage. So the brand is visible, but the positioning is weak.

Do you track the quality of the mention, or only the fact that the brand appeared?