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

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)

Most people think of Google’s E-E-A-T as an SEO concept. Yet AI models rely on the same trust signals when deciding which brands to recommend, which sources to cite, and how to describe a business in an answer. Weak E-E-A-T affects how AI perceives and positions your brand.

Rankin AI has a Site Analysis that scores your E-E-A-T across four dimensions independently:

Rankin AI Site audit - E-E-A-T Score

• Expertise → Depth and credibility of knowledge demonstrated on the page.
• Authority → Reputation of the site/author in the topic’s industry.
• Experience → Firsthand experience and original insights in the content.
• Trustworthiness → Accuracy, transparency, and safety signals on the page.

Plus, Rankin AI scores your content quality, page performance, and technical side.

Yes, that is the bare minimum in such an audit. Yet Rankin AI actually offers the luxury maximum:

→ After the audit, you receive a prioritized list of fixes. High / Medium / Low priority, each with a clear description and “show how to fix” details.

Rankin AI Site audit - list of fixes

You run it per the URL of your setup brand domain, so you can audit your homepage, key landing pages, or any specific page separately.

Run site audits per URL

You can try an audit even on the free plan, with 1 Site audit/month available.

Is E-E-A-T something you actively work on? Has anyone seen a direct connection between improving E-E-A-T signals and better AI visibility?

People often ask how long it takes to see meaningful AI visibility data with Rankin AI. The answer depends on your plan and how prompts are structured… but the numbers are bigger than most people expect! Let’s calculate it:

→ All prompts you added in Rankin AI for your brands are automatically executed every day at 12:00 AM UTC (1/week at the free plan).

→ Each prompt gets executed across every AI provider you have on your plan: 4 providers on paid plans and 1 provider on the free plan.

So the responses add up fast. Here’s what a month of data looks like across plans:

• Scout (free): 10 prompts × 1 provider × 30 days = 300 responses / month
• Pathfinder: 75 prompts × 4 providers × 30 days = 9,000 responses / month
• Nexus: 200 prompts × 4 providers × 30 days = 24,000 responses / month
• Enterprise: unlimited

With this daily cadence, you’re watching patterns and trends that provide a more extensive picture of your AI visibility.

Rankin AI dashboard - Visibility Score

How many responses do you think you need before the data starts feeling reliable?

AI models don’t give identical answers across regions. The sources they cite, the brands they recommend, and even how they frame a category can shift depending on the location context in which the query is running. And you can track it for 55+ countries/languages with Rankin AI.

One thing worth knowing upfront: if no region is set, prompts run for the United States by default. So if you’re tracking visibility for a UK hotel or a French SaaS tool and haven’t set a target region… well, you’re looking at US-based AI responses. That’s probably not your market.

One

I have a short guide on how localization works in the prompt setup:

1️⃣ Write your prompt in any language

When you add a prompt, do it in any language. No restrictions here. English, German, Italian, whatever feels natural. The language you write in doesn’t lock anything. That comes in the next step.

Step 1 - Adding new prompts in Rankin AI

2️⃣ Specify the Target Region

Select the country you want to simulate. 57 countries and regions available. This tells the system which regional version of each AI provider to query. You get results that reflect what users in that market actually see.

Step 2 - Select your Target Region for the prompt

3️⃣ Choose your Execution Mode

This is where it gets interesting. You have two options:

Step 3 - Select Execution Mode for the prompt

Localized → The tool automatically translates and adapts your prompt’s language and phrasing to match the target region. Even if you wrote the prompt in English, it will run in the local language with the local search style.

Use this when:

• Your audience searches in AI using their native language
• You’re tracking a non-English market and want accurate local results
• Example: you manage a hotel in Florence. You write the prompt in English, set the region to Italy, and select Localized → it runs in Italian, reflecting how Italian users would actually ask it.

Original → runs the prompt exactly as you wrote it, no translation, regardless of the region selected.

Use this when:

• You know your audience searches in a different language than their region
• Example #1: tracking AI visibility for an international travel brand whose customers ask ChatGPT in English even while traveling in Spain or Japan.
• Example #2: an English-language SaaS targeting German companies, where buyers research in English: you want results in English, but simulated for the German region.

Want to compare how AI responds across markets? Set up the same prompt twice: different region, different mode. You’ll likely see different presence scores, different cited sources, and different competitors showing up. And that gap is your localization intelligence!

Is anyone here running the same prompt in multiple regions? Curious what differences you’re seeing.

Prompts are the core of how the tool works. And in Rankin AI, you can add them based on target personas, localize for any country/language, and much more.

So, here's your mini guide that covers the key setup points:

Adding prompts

Rankin AI offers three ways to do it:

• Add one by one: full control + you get AI suggestions.

Rankinai io > Prompts hub > Add one new prompt

Rankinai io > Prompts hub > Add new prompt

• Bulk add: best for when you already have a list of prompts you want to monitor, paste a list → done

Prompts hub > Add one new prompt and bulk add

Prompts hub > Prompt bulk adding

• AI Set up: fastest setup powered by AI. The tool generates personas, topics, and topic-specific prompts. All based on your brand and niche. Plus, you can edit, select, and regenerate suggestions, so results are controlled.

Prompts hub > Quick prompt setup with AI (topics, prompts and personas)

Topics

You can group your prompts by topic clusters from the start. Instead of staring at 30 scattered individual prompts, you get presence and citation data rolled up by topic, use cases, intent, or whatever grouping you'd like. Much easier to spot where gaps actually live.

Prompts hub > Prompt topics

AI prompt suggestions

Not sure what prompts to add? The tool suggests them based on your brand and niche.

Prompts hub > Create new prompt & get AI suggestions

Personas

Additionally, you can set up target personas first (goals, pain points, buyer profile) and the suggestions get sharper, because it generates prompts the way your actual buyers would ask them.

Personas > Set up personas for better prompt suggestions for your brand

Execution schedule

All prompts run automatically every day at 12:00 AM UTC. New prompts join the next scheduled run tonight.

Don't want to wait until midnight? You can hit "Run on demand" to trigger a full run instantly. It's useful for when you are adding new prompts or setting up a new client.

Free (Scout) plan and Pathfinder plans include 1 on-demand run/month, Nexus → 5 on-demand runs/month. We recommend running prompts on demand once you're sure you've added all the prompts you need.

Rankinai io > Prompts hub > Adding new prompt, daily run and on-demand button

What's your current prompt count? Do you group them? If yes, then how?

Most link builders are sleeping on AI visibility tools. And honestly, that's a competitive advantage for those who aren't. Because buried inside the Sources section is basically a ready-to-outreach, prioritized list of domains AI already trusts.

So, here's exactly how to use it:

1️⃣ Set up your brand and prompts

Add your brand, set up prompts grouped by topic. The more relevant your prompts, the more accurate your citation data will be. I recommend giving it at least a few days to collect responses before diving into sources (yet you surely can also dive in right away, even after one execution).

Rankinai.io -> Step 1 -> Set up prompts to tracks mentions, citations, and sourcee

2️⃣ Explore cited sources and filter by what matters

Go to the Sources hub. You'll see general metrics and every domain and URL that AI cites in response to your tracked prompts.

Rankinai.io -> Step 2.1 -> Head to Sources hub to see total mertics and allcited sources

You can filter by prompt topic, prompts, AI provider, score, standing, citation rate, or competitor (here you can select the filter mode for sources that the AI used in responses where your specific competitor was mentioned/cited/where your brand was not cited, but competitors were).

Rankinai.io -> Step 2.2 -> Sources hub - See general metrics and every domain and URL that AI cites in response to your tracked prompts

3️⃣ Use source type categorization to prioritize outreach

This is actually the new feature. Every source is now categorized by domain type (editorial, forum, corporate, and so on) and URL type (listicle, how-to, discussion, homepage, and so on). That distinction helps you get sources that fit your link-building needs.

Rankinai.io -> Step 3 -> Sources are now categorized by domain type and URL type

4️⃣ Or just use the Opportunities list

Don't want to filter manually? The Top Opportunities panel does it for you!!

Rankinai.io -> Step 4.1 -> Opportunity & Gap Intelligence - High-impact sources to prioritize next

We do deep analysis of where competitors are cited, and your brand can capture visibility. At the end, you get sources prioritized by gap size, ready to act on.

Rankinai.io -> Step 4.2 -> Opportunity & Gap Intelligence - High-impact sources to prioritize next

5️⃣ Export your list

On top of that, you can export your filtered data as a CSV file and drop it straight into your outreach system you already use.

Rankinai.io -> Step 5 -> Export sources

→ Two birds, one stone: better AI presence + stronger domain authority. Three birds, if you count the referral traffic.

Curious if anyone else has been using citation data this way?