Two questions, two types of tools
Before comparing tools, it's worth understanding that there are two fundamentally different questions in AI visibility:
- Question 1: "Does my hotel appear in AI responses?" — This is a monitoring question. It requires tracking over time, test queries across multiple platforms, frequency-of-mention measurement.
- Question 2: "Why doesn't my hotel appear, and what do I need to fix?" — This is an audit question. It requires technical analysis of the prerequisites: bot access, structured data, content quality.
These two questions don't call for the same tools. And for a hotelier new to AI visibility, the logic is clear: the audit comes before the monitoring. There's no point tracking your presence in ChatGPT if your robots.txt has been blocking GPTBot for the past two years.
Monitoring tools: what they do (and who they're for)
Semrush AI Toolkit
Semrush is the established leader in professional SEO. Their AI Toolkit extends their existing platform into generative response monitoring: it tracks how often your brand is mentioned in ChatGPT answers, Google AI Overviews and other AI platforms.
It's a powerful tool built for professional marketing teams managing high-profile brands. It integrates into a comprehensive ecosystem (SEO audit, backlinks, position tracking) and assumes you already have an established digital presence to analyse. Pricing reflects this positioning: Semrush starts at several hundred euros per month, with the AI Toolkit as an additional module.
Who it's for: large brands, SEO agencies, hotel groups with dedicated digital teams and significant marketing budgets.
Ranketta
Ranketta is an AI mention monitoring tool built for e-commerce and B2B brands. It tracks your appearances across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, analyses sentiment around your mentions and monitors competitors. It also offers automatic generation of articles optimised for LLM training data.
The interface is clean and the product positioning well-defined. Ranketta offers a limited free tier (25 test queries per month, 1 website), which allows evaluation — but meaningful use requires a paid subscription.
Who it's for: e-commerce, SaaS and B2B brands looking to track their AI reputation, with an appetite for marketing data.
Peec.ai
Peec.ai positions itself as an AI analytics solution for marketing teams. The tool analyses your brand's visibility in generative search engines and provides tracking metrics. Like Ranketta, it targets marketing teams who want to instrument their AI presence with dashboards and reports.
Who it's for: professional marketing teams looking to integrate AI monitoring into their analytics stack.
AltText.ai
A distinct case in this landscape: AltText.ai isn't really an AI visibility tool in the broad sense. It automates alt text generation for images, which improves AI systems' understanding of your visual content. It's a useful, well-executed tool — but one that addresses a very specific need (images) and doesn't address the overall AI visibility of a hotel website.
Who it's for: e-commerce sites and content publishers with large image catalogues.
What these tools have in common: they measure your current visibility in AI responses. They tell you where you stand. What they don't do is diagnose why you appear or not — and give you a technical action plan to fix it.
AIscore: an audit tool, not a monitoring tool
AIscore answers the upstream question: is your site technically ready to be visible to AI systems? It doesn't query ChatGPT to see if you appear there. It analyses the 91 signals that determine whether AI bots can access your content, understand it, and associate you with the right types of queries.
Concretely, AIscore checks:
- AI bot access (GPTBot, ClaudeBot, Google-Extended, PerplexityBot) — does your robots.txt allow them?
- Schema.org Hotel quality and completeness — can AI systems read your star rating, amenities, price range, check-in times?
- llms.txt presence and quality — are you speaking directly to LLMs?
- Content structure — H1, meta descriptions, heading hierarchy, image alt coverage
- Multilingual signals — hreflang, html lang attribute
- Global technical signals — canonical, Open Graph, sitemap
The result is a score from 0 to 100 (A to F), a score per category, and a list of identified gaps with their estimated impact. In 30 seconds. For free. Without creating an account.
Comparison table
| Semrush AI | Ranketta | Peec.ai | AIscore | |
|---|---|---|---|---|
| Type | Monitoring | Monitoring + Content | Monitoring | Technical audit |
| Specialisation | Generic | E-commerce / SaaS | Generic | Hospitality |
| Free | 7-day trial | Limited tier | No | Yes, fully |
| No sign-up | No | No | No | Yes |
| Instant results | No | No | No | 30 seconds |
| Identifies root causes | No | Partially | No | Yes |
| Who it's for | Large brands, agencies | E-commerce, SaaS | Marketing teams | Hoteliers |
Why the audit must come before the monitoring
Imagine a 4-star boutique hotel in Bordeaux. The owner discovers that ChatGPT never mentions their property when travellers search for accommodation in the city. They subscribe to a monitoring tool to track AI mentions. Two weeks later, the dashboard confirms what they already knew: mentions are near zero.
They paid for a confirmation, not a solution.
An AIscore scan would have revealed in 30 seconds that GPTBot and ClaudeBot are blocked in their robots.txt via a rule inherited from a WordPress update. Five minutes of correction later, the two main AI bots can crawl the site. Their Hotel schema.org is missing amenityFeature and priceRange — two hours of development. No llms.txt exists — two hours of writing.
Four hours of work total. No subscription. A score that goes from F to B.
Then, if the owner wants to track the evolution of AI mentions over time and monitor competitors, a monitoring tool becomes relevant. But only after the technical foundations are in place.
The practical rule: if your AIscore is below 60 (grade C or lower), you don't need a monitoring tool — you need to fix your site. Monitoring only has value once you have something solid to monitor.
These tools complement each other — they're not in opposition
It would be inaccurate to frame these tools as competitors. They address different needs at different stages of an AI visibility strategy.
A mature hotel group whose sites all score A or B on AIscore can legitimately benefit from a monitoring tool to measure the impact of their actions over time, track competitors and detect sentiment variations. That's an advanced use case — one that assumes solid technical foundations.
For the vast majority of hotels — independent or small chains — with an average score of 38/100 in our data, the priority is unambiguous: fix the technical blockers, complete the structured data, create the llms.txt. These actions are free, fast, and their impact on AI visibility is documented.
What AIscore doesn't do (and owns)
For transparency: AIscore doesn't track your mentions over time. It doesn't tell you how often ChatGPT cited you this week versus last week. It doesn't monitor your competitors in AI responses.
These are features we could add. We chose not to — at least not yet — because we believe that for the vast majority of hoteliers, these metrics don't make sense before the foundations are in place. And laying those foundations is what AIscore does better than anyone else, specifically for hospitality.
Start with the audit
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