Two Weeks to Visible: How Fra Diavolo Turned an AI Blind Spot Into a Top-3 Ranking

About Fra Diavolo

Fra Diavolo is an Italian artisanal pizza chain founded in 2018 and now operating 32 locations across cities including Milan, Turin, Rome, and Bologna. The brand pairs artisanal quality with an engineered production process, offering a multi-dough menu (classic, charcoal, wholegrain, thin-crust, and a wheat-free option) that sets it apart from the single-style pizzerias that dominate most Italian markets.

Fra Diavolo has earned recognition among the top 20 worldwide in the 50 Top Pizza Artisan Pizza Chains guide. But offline reputation and AI visibility are two different games, and the brand knew it needed to win the second one.

The Challenge

When Fra Diavolo’s own marketing team asked ChatGPT for the best pizzeria in Milan, the brand wasn’t there. Neither was it in Turin, Rome, or Bologna. For a chain whose business is won street by street, being invisible in the AI answer meant being out of the running before a customer ever saw a menu.

This mattered more than it might be for other businesses. As co-founder and CEO Mauro D’Errico puts it, "La nostra battaglia è e rimarrà sempre una battaglia di quartiere", meaning the battle is, and always will be, a neighbourhood battle. People choose a pizzeria from the handful of options near them, and that choice increasingly starts with an AI prompt. If the AI never names you, you are out of the running before the customer even sees a menu.

Search Bridge put a number on it. In February 2026, across all four of Fra Diavolo’s tracked cities, the brand’s AI Visibility Share was 0%, with zero citations.

What Search Bridge Tracked

Search Bridge configured Multi-Signal Intelligence, four coordinated Modules working together, so every improvement could be measured and attributed.

The Brand Perception Module tracked how AI engines understand Fra Diavolo as a brand across six dimensions. A Custom "Pizzeria Offering" Module was built around the chain's strategic objectives, measuring the four things that differentiate it: Dough variety, Dietary Inclusivity, Digestibility, and Product Innovation. This is what made the action plan precise, showing exactly which content would move the needle. Competitive Tracking ran on four city-level Intents (Milan, Turin, Rome, Bologna); the exact queries a hungry customer would type. And Technical Tracking audited how readable the website was to AI crawlers.

Running these together produced the central insight: to be recommended, Fra Diavolo needed both stronger signals AI engines could read on the website, and more evidence of its quality across the wider web. Search Bridge turned that into a prioritised action plan.

What Fra Diavolo Did

The Fra Diavolo team executed the plan in clear, trackable steps. The completed work fell into three groups.

Made the website readable to AI. The team added structured Menu data (JSON-LD) with explicit dough types and allergen attributes, published a root llm.txt brand summary, gave every key page a unique title, and began rolling out LocalBusiness schema to strengthen local discovery.

Built the content AI was missing. New pages and posts filled the gaps the platform identified: a technical FAQ on the dough process, a blog post introducing the new "Sottile" format, an Allergens & Celiac page documenting the gluten-free workflow, and a clearly evidenced dietary-options block on the menu.

Strengthened signals across the web. The team responded to reviews on The Fork addressing service and consistency, and worked through listings on Google Business Profile, Happy Cow to make the multi-dough and dietary options unmistakable to the engines that read them.

The pace was deliberate: roughly one release every couple of weeks, so each change’s impact showed clearly in the next measurement cycle.

The Results

The improvements compounded exactly where it counts.

Visible within two weeks. Fra Diavolo was invisible to AI through mid-March: 0% Visibility Share, zero citations. Because Search Bridge's data layer had ranked the actions by impact, the team started with the changes that mattered most. Roughly two weeks after the first prioritised actions went live, the brand appeared in AI answers for the first time, jumping from zero to 132 citations in a single measurement cycle and showing up in half of the relevant Milan queries. That is the value of the right prioritisation: not just knowing what to fix but knowing what to fix first.

The gap between the market leaders is closing fast. When Fra Diavolo first appeared in AI answers, the category leader was recommended roughly twice as often. Today the two are nearly level — in ChatGPT for Milan, the gap has narrowed from 6.8 to 2.1 percentage points of visibility share. Fra Diavolo now sits at rank 3, ahead of most of the field and within striking distance of the two brands above it. When it appears, it is frequently the number one recommendation. The gains are strongest in ChatGPT today; Perplexity and Gemini, where the brand is still building presence, are the next focus.

This was no one-off spike. The gap closed fast and then held. Fra Diavolo was 6.8 points behind the leader when it first appeared in March; within a month it had pulled to within 2.2 points and, in late April, briefly ranked first in Milan outright. Through the months since, it has held a steady rank 2 to 3 against the same established set, evidence that the gains are structural rather than a fluctuation.

Custom Modules made the actions accurate. Because the Custom "Pizzeria Offering" Module was tuned to Fra Diavolo's strategic priorities, it did more than measure perception; it told the team precisely which content to build. The signal on dietary inclusivity and product innovation pointed straight to the allergens and celiac page, the dietary-options block, and the Sottile innovation post, the exact pages that then helped Fra Diavolo surface in AI answers. The Module turned broad brand tracking into a focused, buildable content roadmap.

The website became genuinely AI-ready. Technical AI-readiness rose from 84 to a peak of 95, confirming that the structured data and content work made Fra Diavolo legible to the engines doing the recommending.

‍

Why This Matters for Your Brand

Fra Diavolo sells pizza, but the pattern is universal. Any brand competing in a crowded category now competes inside AI answers, and most do not know where they stand. What made the difference here was not more content; it was knowing exactly which actions would move visibility, and in what order. That is the difference between guessing and measuring. If your customers are asking AI engines what to buy, book, or visit, the same playbook applies: find the gap, prioritise the fix, and close it before your competitors do.

‍

Client Testimonial

"One day we asked ChatGPT what the best pizzeria in Milan was. We weren't there. Zero citations, zero visibility, and the same in Turin, Rome, and Bologna. Two weeks after the first actions suggested by Search Bridge, we appeared in AI answers for the first time, and from there we never looked back: today in Milan we're third, a step behind the two most iconic names in Italian pizza." Mauro D’Errico, Presidente, Fra Diavolo ( Fragesa S.r.l.)

‍

Ready to See What AI Says About Your Brand?

If your brand competes location by location and you do not yet know whether AI engines recommend you, Search Bridge Intelligence can show you how to take control of how AI represents your brand.

Request a demo →