Frictionless trust, verified identity
Incode (incode.com) scores 87 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Finance brands, Technology brands, in the 92nd percentile of 22005 SaaS brands.
Incode is an identity-verification and biometric-security company headquartered in San Francisco, California, founded in 2015. Its software checks documents, biometrics, and government records within a single platform to verify identity and prevent fraud. Incode serves enterprises in finance, government, and technology sectors that require compliance and identity assurance at scale. The company was named a Leader in the 2026 Gartner Magic Quadrant. Ricardo Amper serves as CEO.
| Brand Name | Incode |
|---|---|
| Domain | incode.com |
| Industry | SaaS, Finance |
| Founded | 2015 |
| Headquarters | San Francisco |
| CEO | Ricardo Amper |
| Main Competitors | Jumio (92/100), Onfido (72/100), Persona (87/100), Socure (88/100), Trulioo (88/100), Veriff (92/100), IDnow (85/100) |
Moz Domain Authority 42/100 vs category average 36 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #152,690 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 "Identity verification software that checks documents, biometrics, and government records in one platform. Named a Leader in the 2026 Gartner Magic Quadrant." (Meta description: 22 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.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, YouTube, GitHub - 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 Incode?", Claude could identify the brand as of September 2026. Incode is a company specializing in identity verification and biometric authentication solutions, offering an AI-powered platform that helps businesses verify user identities, prevent fraud, and streamline onboarding through facial recognition and document scanning. Best known for AI-driven identity verification and biometric authentication for onboarding and fraud prevention.
When asked "Best brands similar to Incode?", Claude would recommend Incode as of September 2026. Incode is a recognized player in the identity verification space, often mentioned alongside companies like Jumio and Onfido for KYC and biometric authentication solutions.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Incode's main competitors in SaaS: Jumio (92/100), Onfido (72/100), Persona (87/100), Socure (88/100), Trulioo (88/100).
Sources: Brand Analyzer scan
Incode offers an AI-powered identity-verification platform that includes document verification, biometric liveness detection, and government record matching. These capabilities are unified into a single system designed to perform authoritative, multi-layered identity checks at global scale for enterprises needing to verify users, businesses, and AI agents.
Sources: Incode official site
Incode is an identity-verification and biometric-security company headquartered in San Francisco, California, founded in 2015. It provides AI-powered software that verifies identity by checking documents, biometrics, and government records in one platform. Incode was named a Leader in the 2026 Gartner Magic Quadrant, and its CEO is Ricardo Amper.
Sources: Incode official site
Incode has limited AI-search visibility, scoring 48/100 on Brand Analyzer's AI visibility composite (visibility 26, trust 65, recommendation 69). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Incode official site
Incode was founded in 2015. Incode operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Incode is headquartered in San Francisco. Incode operates in the SaaS category.
Sources: Wikidata
Incode develops identity-verification software that unifies document verification, biometric liveness detection, and government record matching into a single platform. This enables organizations to authoritatively verify that a person is real, who they claim to be, and safe to transact with, supporting compliance and fraud-prevention efforts at global scale.
Sources: Incode official site
Incode scores 69/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Incode official site
Incode is known for being recognized as a Leader in the 2026 Gartner Magic Quadrant for identity verification. It is also known for its multi-layered approach that combines document checks, biometric liveness, and government record matching within a single platform, positioning it as a comprehensive, privacy-focused solution for AI-driven identity verification and KYC.
Sources: Incode official site
Incode 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: Incode official site
Incode is used by enterprises and organizations in the finance, government, and technology sectors that need to verify identities, ensure regulatory compliance, and prevent fraud at scale. Its target audience includes businesses requiring robust know-your-customer (KYC) processes and secure identity assurance for transactions.
Sources: Incode official site
Incode scores 48/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Incode has a limited AI-visibility profile at 48/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (69/100) and its weakest is visibility (26/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #152,690 (Tranco) and a Moz Domain Authority of 42/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data. In a live check, Claude could already identify Incode 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 Incode: iMyFone (87/100), IMVU (87/100), Indeed (87/100), Indeed (87/100).
A step up - brands to learn from: Zuken (91/100), ZipRecruiter (91/100).
Category leader: Hostinger (97/100).
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