Monitor. Identify. Act.
Scila (scila.se) scores 81 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Finance brands, SaaS brands, Technology brands, in the 72nd percentile of 10305 Finance brands.
Scila is a Swedish fintech company that develops trade surveillance and risk management software. Founded in 2008, it provides tools designed to help banks, brokers, exchanges, and regulators detect market abuse, manage risk, and maintain regulatory compliance. The company positions itself as a trusted partner in financial markets, emphasizing transparency and efficiency through advanced compliance and surveillance technology.
| Brand Name | Scila |
|---|---|
| Domain | scila.se |
| Industry | Finance, SaaS |
| Founded | 2008 |
| Main Competitors | Nasdaq (SMARTS Trade Surveillance) (76/100), NICE Actimize (88/100), Trapets (75/100), Eventus Systems (77/100), SteelEye (77/100), b-next (75/100), ACI Worldwide (Ancoa) (89/100) |
Moz Domain Authority 25/100 vs category average 40 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #4,045,725 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Supporting investor confidence by providing tools to all market participants to identify market abuse, risk or financial crimes quickly and effectively." (Meta description: 21 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: WordPress, Ghost.
Social footprint: verified profiles on LinkedIn, X (Twitter), Facebook, Instagram, GitHub; no detected presence on YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is Scila?", Claude could identify the brand as of September 2026. Scila is a Swedish company that provides market surveillance and trade compliance software used by exchanges, brokers, and regulators to detect market abuse and manipulative trading patterns. Best known for market surveillance software for detecting insider trading and market manipulation.
When asked "Best brands similar to Scila?", Claude would recommend Scila as of September 2026. It's a recognized niche player in trade surveillance technology, so it would be relevant to mention alongside other regtech and market surveillance vendors.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Scila's main competitors in Finance: Nasdaq (SMARTS Trade Surveillance) (76/100), NICE Actimize (88/100), Trapets (75/100), Eventus Systems (77/100), SteelEye (77/100).
Sources: Brand Analyzer scan
Scila has limited AI-search visibility, scoring 28/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 29, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Scila official site
Scila scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Finance options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Scila official site
Scila offers software tools focused on trade surveillance and risk management. These tools are designed to help financial market participants identify market abuse, monitor and manage risk, and detect financial crimes, supporting regulatory compliance efforts.
Sources: Scila official site
Scila is a Swedish fintech company that develops trade surveillance and risk management software for financial markets. Founded in 2008, it provides technology used by banks, brokers, exchanges, and regulators to detect market abuse, assess risk, and support regulatory compliance.
Sources: Scila official site
Scila builds software tools that help financial market participants identify market abuse, monitor risk, and comply with regulatory requirements. Its solutions are used for trade surveillance and risk management, enabling institutions to detect suspicious trading activity and financial crime quickly and effectively.
Sources: Scila official site
Scila can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Scila official site
Scila's tools are used by banks, brokers, exchanges, regulators, and other financial market participants who need to monitor for market abuse, manage risk, and ensure compliance with financial regulations.
Sources: Scila official site
Scila is known for its trade surveillance and risk management software, which it has developed since 2008 for use by banks, brokers, exchanges, and regulators seeking to detect market abuse and ensure compliance with financial regulations.
Sources: Scila official site
Scila scores 28/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Scila has a weak AI-visibility profile at 28/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (17/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #4,045,725 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 25/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Scila from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Scila: Allwyn (81/100), Satoshi Tango (81/100), U.S. Securities and Exchange Commission (SEC) (81/100), 서울경제 (Seoul Economic Daily) (81/100).
A step up - brands to learn from: YNAB (91/100), Yoti (91/100).
Category leader: TradingView (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.