Arobis AI

BACKGROUND

Please describe your company and position.

I am the ceo of COSTA NAVARINO

Describe what your company does in a single sentence.

Costa Navarino is a sustainably driven destination in the Mediterranean, located in Messinia in the southwest Peloponnese of Greece. Graced with a breath-taking seaside landscape, this is a region shaped by 4,500 years of history. The Costa Navarino philosophy is driven by a genuine desire to preserve the natural beauty and heritage of Messinia. The destination comprises several distinct sites featuring five-star hotels, luxury private residences, a world-class golf experience, and many year-round activities. Navarino Dunes is home to The Romanos, a Luxury Collection Resort, The Westin Resort Costa Navarino and Costa Navarino Residences. Navarino Bay is the setting for Mandarin Oriental, Costa Navarino, W Costa Navarino and Navarino Agora, a curated marketplace. Both sites have signature golf courses, while at Navarino Hills there are two further signature golf courses.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Arobis AI to accomplish?

• At COSTA NAVARINO, we manage a large and diverse hospitality destination with several luxury hotels, private residences, golf facilities, restaurants, activities, and guest experiences. Because of the variety of services and touchpoints involved, we were looking for a more intelligent way to use our existing data to better understand guest behavior and support operational decision-making.
• 1. Develop a machine learning solution to better understand guest behavior and preferences.
• 2. Create a more structured approach to anticipating guest needs and demand.
• 3. Build a scalable data-driven framework that our internal teams could continue using.

SOLUTION

How did you find Arobis AI?

• Referral
• Clutch Site

Why did you select Arobis AI over others?

• Pricing fit our budget
• Good value for cost
• Company values aligned

How many teammates from Arobis AI were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Arobis AI worked with us through several stages, beginning with discovery and data assessment before moving into model development, testing, refinement, and implementation guidance. The first phase focused heavily on understanding our business environment. Because Costa Navarino includes multiple properties, guest experiences, and operational areas, it was important for Arobis AI to understand that the project was not simply about processing a single clean dataset. They spent time discussing the different parts of our guest journey and identifying which available data sources could provide useful signals. One scenario that stood out during the discovery phase was the discussion around how two guests could have similar booking information but behave very differently once they arrived at the destination. Arobis AI helped us think beyond basic booking records and consider additional interactions and patterns that could provide a more meaningful picture of guest preferences.
The scope of work included: 
An initial discovery and requirements workshop with relevant stakeholders.
Assessment and review of the available data and its suitability for machine learning. 
Identification of useful variables and data signals connected to guest behavior and operational demand. 
Data preparation and structuring to support model development.
Development of machine learning models designed around the agreed business objectives. 
Testing and validation of model outputs using available historical information.
Iterative refinement based on feedback from our internal teams. Development of reporting and output structures that made the findings easier for non-technical stakeholders to interpret.
Documentation covering the methodology, assumptions, model logic, and recommended next steps.
Knowledge-sharing sessions with our team to explain how the solution could be maintained and expanded over time.

A key deliverable was a structured machine learning framework that allowed us to move from reviewing historical information manually toward identifying patterns and insights in a more systematic way. Another important deliverable was the explanation layer around the models. Our internal stakeholders needed to understand not only what the model was indicating but also why a particular pattern or recommendation was relevant. Arobis AI was particularly helpful in translating technical findings into business discussions that our operational and management teams could engage with.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

The project gave us a much clearer and more structured view of the data available across relevant parts of the guest and operational journey. One measurable outcome was the successful creation and validation of machine learning models against historical data. This allowed us to evaluate the relevance of the identified patterns and use the results as an additional input when discussing operational planning and guest-focused initiatives. We also moved from relying primarily on manually prepared data reviews toward a repeatable analytical process. Internal teams were able to review structured outputs rather than starting from raw information each time a new question needed to be investigated. Another positive outcome was the identification of several useful behavioral and demand-related patterns that were not immediately obvious through conventional reporting. These insights created more focused conversations between our business and operational teams. For example, instead of reviewing a broad collection of guest interactions and attempting to identify trends manually, we could use the project's outputs to investigate specific groups and patterns that warranted further attention. This made internal discussions more targeted and helped us prioritize where additional analysis or action could be valuable. The project also established a foundation that can be expanded in the future. The work was not treated as a final report with no continuation plan. We finished with a documented approach that can support additional data sources, new use cases, and further model refinement.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Arobis AI demonstrated strong project management throughout the engagement. From the beginning, they created a clear structure around the work, including discovery, data assessment, model development, validation, review, and final knowledge transfer. This was particularly useful because the project involved both technical requirements and input from business stakeholders. They generally delivered agreed items according to the project schedule and communicated clearly whenever a particular dependency required additional input or clarification from our side. We appreciated that they did not simply continue working based on assumptions when something in the data or business logic was unclear. Their responsiveness was another strength. There were several occasions where our internal discussions led to additional questions about how a particular guest interaction or operational factor should be interpreted. Arobis AI was receptive to those questions and took the time to explain whether the available data could support the request or whether additional information would be needed. One example was when our team wanted to examine whether a specific pattern represented a genuine behavioral signal or was simply the result of seasonal activity. Rather than providing an immediate but potentially misleading answer, the team reviewed the relevant data and explained how they would validate the pattern before including it in the final analysis. This approach gave us confidence in their process. Communication was professional and straightforward. They were able to discuss technical subjects with our data-focused stakeholders while also presenting findings in a way that was understandable to colleagues with more operational or commercial responsibilities. Overall, the project was well organized, milestones were clearly communicated, and Arobis AI was responsive when our requirements evolved.

What was your primary form of communication with Arobis AI?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

What impressed us was Arobis AI's technical machine learning expertise and a genuine effort to understand the business context behind the data. Many technical providers can build a model, but the more difficult part is determining whether the model is addressing a meaningful business question. Arobis AI consistently brought the conversation back to the practical objective. They were also willing to challenge assumptions constructively. If we proposed a particular approach, they did not automatically agree simply to move the project forward. Instead, they explained the potential limitations, discussed alternatives, and helped us decide which direction made the most sense based on the available information. Another aspect that stood out was their ability to make the work accessible. Machine learning projects can sometimes become difficult for non-technical stakeholders to follow. Arobis AI made a deliberate effort to explain the reasoning behind their approach. This helped create stronger engagement from internal stakeholders because people could understand how the analysis connected to the broader objectives of the project. We also appreciated their flexibility. As we learned more about the available data and began reviewing early outputs, some questions naturally evolved. Arobis AI handled these changes professionally and helped us evaluate whether the new requests fit within the existing approach or required adjustments. That combination of technical capability, business understanding, and clear communication was the most distinctive part of the experience.

Are there any areas for improvement or something Arobis AI could have done differently?

Overall, we were very satisfied with the engagement. The main area where there could be some improvement would be to spend additional time early in the project aligning all stakeholders around the technical terminology and the limitations of the available data. Because a machine learning project can involve concepts that are familiar to data specialists but less familiar to operational stakeholders, an additional workshop at the beginning focused specifically on expected outputs, model limitations, and interpretation could make the onboarding process even smoother. There were also moments where we wanted to explore additional questions after seeing the first results. In future engagements, it could be useful to formally reserve a dedicated exploratory phase after the initial model outputs are delivered. This would give both teams more structured time to investigate new questions that emerge from the findings. These are relatively minor suggestions. Arobis AI was receptive to feedback throughout the engagement, and we felt that they were genuinely interested in ensuring the work was useful to our organization rather than simply completing the agreed technical deliverables.

BACKGROUND

Introduce your business and what you do there.

I’m a partner at Wolverine Trading, a financial institution specializing in proprietary trading, asset management, order execution, and technology solutions. We have expertise in derivatives across global equity, options, and futures markets.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Arobis AI?

We wanted to strengthen our online visibility and make our company, expertise, and services easier to discover through both traditional search and AI-powered platforms. Our main goals were to improve our SEO foundation, identify important search opportunities, and build a practical GEO and AEO strategy. We also wanted to ensure that AI systems could better understand our business, particularly around financial services, proprietary trading, derivatives, order execution, and technology.

SOLUTION

What was the scope of their involvement?

Arobis AI has handled a combination of SEO, GEO, and AEO work for us. They started with an assessment of our existing search visibility, followed by keyword and search-intent research, competitor analysis, technical SEO recommendations, and content opportunities. They also looked at how AI platforms interpret and surface information about Wolverine Trading and provided recommendations for improving our AI visibility. Key deliverables have included SEO recommendations, content and topic opportunities, GEO/AEO strategy, search-focused content guidance, and a roadmap for improving visibility across traditional and AI-powered search.

What is the team composition?

We’ve worked with 2–5 teammates from Arobis AI.

How did you come to work with Arobis AI?

We found them through an online search. We chose them because their pricing fit our budget, they offered good value for the cost, and their company values aligned with ours.

What is the status of this engagement?

We started working together in February 2026, and the engagement ended in May 2026.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

The project has given us a much clearer way to measure and improve our visibility across traditional search and AI-powered platforms. We’ve identified important content and search gaps, improved the structure of priority information, and established a stronger SEO, GEO, and AEO framework. We’ve also gained better visibility into how Wolverine Trading could be represented for relevant financial-services, trading, derivatives, and technology-related queries. 

The main value has been having a practical roadmap and clearer benchmarks for tracking organic search and AI visibility over time.

We’ve seen positive movement in our search visibility and have a much clearer baseline for tracking SEO, GEO, and AEO performance. The biggest improvement has been in identifying priority search opportunities and understanding how our content is being surfaced across search and AI platforms. We don’t rely on a single traffic or ranking number to judge the project; instead, we focus on improving visibility for relevant financial-services, trading, derivatives, and technology-related queries and establishing benchmarks that we can continue monitoring after the engagement.

One area we’ve focused on is queries around proprietary trading, derivatives trading, and financial market technology. We’ve noticed that the information surrounding Wolverine Trading has become more structured and consistent when researching these topics, particularly when looking at how search and AI systems interpret our company and areas of expertise. Arobis AI has helped us identify gaps in the information available and improve how those topics are presented, giving us a stronger foundation for future SEO, GEO, and AEO visibility.

How did Arobis AI perform from a project management standpoint?

Arobis AI’s project management has been organized and is easy to work with. They keep communication clear, provide updates as the work progresses, and are responsive when we have questions or need clarification. The deliverables are handled within the agreed timeline, and they’re flexible when we need to adjust priorities. I also appreciate that they explain the reasoning behind their SEO, GEO, and AEO recommendations instead of simply sending over a list of technical tasks.

What did you find most impressive about them?

What stands out the most is Arobis AI’s understanding of how traditional SEO is evolving alongside AI search. They don’t focus only on rankings and keywords; they bring SEO, GEO, and AEO together and look at how AI platforms understand and represent a company. For a specialized financial-services business like Wolverine Trading, that broader approach is particularly valuable because accuracy, context, authority, and clear positioning are all important.

Are there any areas they could improve?

One area that could be improved is the depth and frequency of reporting around GEO and AEO results. Traditional SEO has well-established metrics, while AI visibility is still developing, so it would be helpful to see more regular examples of specific AI queries, citations, mentions, and changes across different platforms. More detailed reporting would make it easier to connect individual SEO, GEO, and AEO activities with measurable progress.

BACKGROUND

Introduce your business and what you do there.

I’m the CEO of Punchwork, a law firm specializing in employment law. We represent employees in EEOC proceedings, professional license defense, and post-EEOC litigation.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Arobis AI?

We needed help taking our regional brand and making it a national brand.

SOLUTION

What was the scope of their involvement?

Arobis AI provides SEO, AEO, and PPC services. The team creates content, manages ad campaigns, and implements technical SEO and website changes. Regarding content, they’ve created blog posts.

What is the team composition?

We work with 2–5 teammates from Arobis AI.

How did you come to work with Arobis AI?

We found them through a referral. We chose them over other options because they were a great culture fit and their company values aligned with ours.

What is the status of this engagement?

We started working with them in July 2026, and the engagement is ongoing.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We’ve seen improvements in our Google Search Console stats, including traffic, rankings, and CTR. We’ve also seen improvements in our Google Ads stats, including CTR and ROAS. Overall, we’ve seen a 70% improvement across all metrics.

How did Arobis AI perform from a project management standpoint?

They deliver very well. We communicate via virtual meetings.

What did you find most impressive about them?

Arobis AI’s team is very knowledgeable.

Are there any areas they could improve?

There’s nothing I can come up with.

BACKGROUND

Please describe your company and position.

I am the VP of PR of Circana

Describe what your company does in a single sentence.

At Circana, we measure and accelerate demand. It’s that simple. We partner with brands to address their toughest business challenges through a combination of our big data, AI data-visualization platform, and deep expertise across more than 25 industries. Our clients count on us to guide them on their next steps, and the steps after that, so they can innovate, meet consumer demand, and grow.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Arobis AI to accomplish?

• Optimize and provide guidance on SEO activities to increase organic visibility
• Setup Meta advertising aimed at lead conversion

SOLUTION

How did you find Arobis AI?

Clutch Site

Why did you select Arobis AI over others?

• Pricing fit our budget
• Good value for cost
• Company values aligned

How many teammates from Arobis AI were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Arobis AI managed all of our digital marketing properities and campaigns including paid search, SEO, paid social, and organic social with a dual focus of increasing brand awareness and driving incremental customers through performance marketing.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

Throughout the length of the project, Arobis AI helped us manage and made recommendations to achieve our KPIs which were CPLs < $200, varying organic and SEO goals, and overall lead volume for paid social campaigns.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Arobis AI was highly responsive with regular and ad hoc meetings throughout the length of the project. They always kept us informed of the status of request and made recommendations proactively to help drive results for our campaigns.

What was your primary form of communication with Arobis AI?

• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

I have always felt that their communication was the best among agencies I have dealt with and they consistenly brought new and innovative ideas to the table. They also took the time to understand our industry rather than just recommending tactics that didn't make any sense for our customers.

Are there any areas for improvement or something Arobis AI could have done differently?

Not at this time.

BACKGROUND

Introduce your business and what you do there.

I'm the managing director of Estia Group, a company that develops regulated payments and digital asset infrastructure. We offer payment processing, a digital asset exchange, tech integrations, and token governance, all designed for compliance with European financial regulations.

OPPORTUNITY / CHALLENGE

What challenge were you trying to address with Arobis AI?

We needed help improving our visibility across AI search platforms, increasing rankings for high-intent queries, and generating more qualified leads.

SOLUTION

What was the scope of their involvement?

Arobis AI managed the core AI search and GEO strategy for our company. The scope included analyzing our existing visibility across major LLMs, identifying high-intent search opportunities, developing and implementing strategies to improve our presence in AI-generated recommendations, and optimizing our digital positioning for relevant industry queries. They also monitored our progress and provided strategic recommendations to strengthen our visibility and generate more qualified leads through AI-powered search.

In terms of deliverables, Arobis AI provided detailed AI search and GEO analysis, visibility tracking, strategic recommendations, and optimization guidance for high-intent queries. They also delivered actionable insights and performance updates that helped us understand our visibility across LLMs and identify opportunities to improve our presence in AI-generated recommendations.

What is the team composition?

We worked with 2–5 teammates from Arobis AI.

How did you come to work with Arobis AI?

We found them through an online search and a referral. We chose them over other options because they had a great culture fit, good value for cost, and company values aligned with ours.

What is the status of this engagement?

We worked together from July to August 2025.

RESULTS & FEEDBACK

What evidence can you share that demonstrates the impact of the engagement?

We saw a 32% increase in lead generation from LLMs. We also saw a significant improvement in our visibility across AI search platforms, including stronger recommendations for relevant, high-intent business queries.

How did Arobis AI perform from a project management standpoint?

Arobis AI managed the project professionally and maintained clear communication throughout the engagement. They were responsive to our feedback, kept the work organized, and delivered the agreed work within the expected timelines. Overall, their project management was reliable and efficient.

What did you find most impressive about them?

We were impressed by Arobis AI's deep understanding of AI search and GEO, combined with their strategic and results-driven approach. They went beyond basic optimization and focused on positioning our company for meaningful visibility across LLMs and high-intent queries. Their responsiveness and genuine commitment to our growth also stood out.

Are there any areas they could improve?

We were very satisfied with their work. Communication, strategy, and execution were strong throughout the project.