Giacomo Conti is a Polish menswear brand operating in the formalwear and smart casual category. Its offer includes suits, tuxedos, shirts, coats, jackets, trousers, shoes, and accessories, with product lines covering business, casual, and wedding wear.
The brand combines e-commerce with a network of physical stores across Poland. This omnichannel model is especially important in menswear, where the purchase journey often includes advice, fitting, tailoring adjustments, and a local store visit before the final decision.
For AI Search Optimization, this created a clear opportunity: Giacomo Conti did not only need to appear as a brand. It also needed to appear as a place to buy, try on, and choose formalwear locally.
Buying a suit is rarely a simple product search.
Users ask for recommendations, comparisons, styling advice, seasonal ideas, and local store suggestions. They want to know what to wear, where to buy it, which style fits the occasion, and whether there is a store nearby.
That means AI tools can influence several stages of the buying journey:
1 Early inspiration “best Christmas gifts for men”2 Product discovery “best men’s coats”3 Occasion-based research “what suit should I wear to prom”4 Local buying intent “best suit stores in Kraków”5Wedding season planning “where to buy a wedding suit”
For a brand like Giacomo Conti, AI visibility is not just about being mentioned. It is about being recommended when the user is already close to a purchase decision.
The project started with an AI visibility diagnosis.
We checked where Giacomo Conti already appeared in AI-generated answers and where the brand was missing. We looked at different prompt groups, including:
The diagnosis showed that the brand had a strong market position, but that strength was not fully reflected in AI-generated answers. In other words, Giacomo Conti had real-world relevance, but AI models were not consistently turning that relevance into recommendations.
That became the starting point of the strategy.
The first 3 months focused on two priorities.
The project started in the second half of the year, which meant the first commercial opportunities were Christmas, winter clothing, and then prom season. Instead of starting with a broad brand visibility campaign, we focused on search moments that were already building demand.
This helped the brand start appearing in AI monitoring for seasonal prompts, where users were looking for inspiration and recommendations.
The first results showed that AI visibility could grow when the brand was connected to a specific buying context.
Seasonal prompts worked because they were tied to real user intent. Users were not asking for a generic menswear brand. They were asking for a gift idea, a coat recommendation, or a prom outfit.
That insight changed how we approached the next phase.
As visibility improved, source selection became more important. At the beginning, there was more flexibility in choosing publication placements. But once the brand started competing for stronger AI visibility, we needed stricter domain research.
We started prioritizing external sources that were:
The project moved from “getting more mentions” to earning the right mentions in the right places.
As the project developed, we noticed a major local search opportunity.
When users asked AI tools about buying suits, the answers often became location-based. AI models were not only recommending brands. They were also suggesting specific stores, showrooms, and places to buy a suit in a given city.
Giacomo Conti had the offline footprint to compete in local AI recommendations. The missing piece was making that local presence easier for AI tools to understand, trust, and reference.
So we expanded the strategy into Local AISO. We introduced broader monitoring for local prompts and optimized the assets that could influence local AI visibility, including:
store pageslocal page contentFAQsGoogle review integrationGoogle Business Profile recommendationsBing Places recommendationscity-level query monitoring
The goal was to make Giacomo Conti visible not only as a menswear brand, but also as a relevant local destination for users looking to buy a suit.
After 6 months, the strategy had evolved.
We were no longer optimizing only for broad menswear prompts. The project became more precise, more seasonal, and more local.
The strongest impact came from three areas1 External publicationsAI Authority Link Building helped connect Giacomo Conti with relevant seasonal and product-led topics. External mentions supported visibility for queries related to gifts, coats, prom suits and later wedding season.2 Local optimizationLocal AISO became one of the highest-potential areas. By improving store pages, local content, FAQs and business profile recommendations, we helped the brand become more visible in city-based AI answers.AI tools increasingly referenced both store pages and Google Business Profile data when answering local shopping questions.3Blog refresh processThe blog became an additional asset for building topical relevance. Refreshing and improving existing content helped support AI visibility in prompts where users were looking for advice, styling ideas, seasonal inspiration or occasion-based outfit guidance.85%of the monitored prompts featured Giacomo Conti by the end of the 6-month period.
| Stage | What we focused on | Why it mattered |
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| Start of cooperation | AI visibility diagnosis | We needed to understand where the brand was visible and where it was missing from AI answers |
| First 3 months | Seasonal prompts: Christmas, coats, prom suits | These were high-intent moments based on the time of year and the client's commercial priorities |
| First publications | External mentions around seasonal topics | AI monitoring started showing mentions for key product and seasonal prompts |
| After early results | Stricter domain research | Competing for stronger AI visibility required more relevant, authoritative, and citable sources |
| Next phase | Local AISO | AI tools were recommending specific suit stores by city, not only brands |
| Month 6 | Store page optimization, local monitoring, GBP and Bing recommendations, blog refresh | The strategy expanded from broad brand visibility to local and intent-led AI visibility |
| Current focus | Wedding season and blog strategy | The next stage is to strengthen visibility for wedding-related searches and develop a broader content plan |
The most important result was not only that Giacomo Conti was mentioned more often. The brand started appearing more frequently as a concrete recommendation in AI-generated answers, including product, image-building, and local store-related prompts.
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Brand visibility in monitored AI prompts
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Brand Score in ChatGPT
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Median brand position in AI answers
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Cited URLs
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Local salon-related prompts
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Our collaboration with the Giacomo Conti brand is a prime example of a true business partnership. As specialists, we highly value the Client’s openness to our proposed solutions and their complete trust in our expertise. Equally important, this process was a two-way street – the insightful suggestions from the Giacomo Conti team, stemming from their excellent knowledge of the market, perfectly complemented our strategy.
Working on the project for Giacomo Conti is a sheer pleasure. Collaborating with such a prestigious brand has allowed us to fully utilize the potential of the innovative AISO service. Together with the Client, we are refining on-site elements while ensuring proper brand visibility on external platforms. Our systematic efforts enable a continuous improvement of visibility across the most popular AI models.
The project continues to follow seasonal demand.
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Current focus The current focus is wedding season, one of the most commercially important periods for a menswear brand. We are continuing external publications connected with wedding suits, formalwear, and occasion-based styling. |
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Next opportunity The next opportunity is a broader blog strategy. A stronger content plan would help Giacomo Conti build topical authority around suits, wedding fashion, formalwear, prom outfits, business style, and smart casual menswear. |
For retail and fashion brands, AI visibility depends on how well the brand is connected to real buying moments: seasonality, product discovery, advice-led searches, and local intent.
Giacomo Conti already had strong market relevance in Poland. The challenge was making that relevance visible and citable in AI-generated answers. The project started with seasonal opportunities, then evolved into Local AISO after we noticed that AI tools were recommending physical stores for suit-buying queries. That insight changed the strategy and helped us focus on the areas with the highest commercial value.
For brands with both e-commerce and physical locations, the key takeaway is simple: AI search may recommend not only products and brands, but also places. If store pages, reviews, FAQs, and business profiles are not optimized, a brand can lose visibility exactly when users are ready to buy.
Want to be recommended by AI when customers are ready to buy?
We can help identify where your brand appears in AI-generated answers, where competitors are being recommended instead, and which content, local, and authority signals need to be improved.
