A-LIGN

What is A-LIGN?

A-LIGN is cybersecurity & Professional Services.

When was A-LIGN founded and where is it based?

A-LIGN was founded in 2009 and is headquartered in Tampa, FL.

What is A-LIGN's Brand Authority Index tier?

A-LIGN is rated Contender on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.

How accurately do AI models describe A-LIGN?

AI narrative accuracy for A-LIGN is Moderate. Significant factual deltas detected. Inconsistent representation across models.

How do AI models position A-LIGN competitively?

AI models classify A-LIGN as a Challenger. AI names competitors first.

How visible is A-LIGN in buyer-intent AI queries?

A-LIGN appeared in 6 of 8 sampled buyer-intent queries (75%). A-LIGN is highly visible for high-intent queries relating to specific certifications (SOC 2, FedRAMP), but loses visibility in 'software only' categories dominated by VC-backed automation startups.

What do AI models currently say about A-LIGN?

AI accurately captures A-LIGN's position as a leader in SOC 2 and cybersecurity audits. However, the nuances of their 'software-plus-service' model vs. pure-play automated compliance competitors are often blurred in general summaries. Key gap: AI may struggle to distinguish between A-LIGN as a licensed CPA firm (the entity that signs audit reports) and A-LIGN as a software company (A-SCEND), often conflating the two or ignoring the legal necessity of the former.

How many facts about A-LIGN are well-documented vs need fixing vs retrieval-dependent?

Of 5 key facts verified about A-LIGN, 2 are well-documented (likely accurate across AI models), 2 have limited sourcing, and 1 are retrieval-dependent and may be inaccurate without live search.

What is A-LIGN's biggest AI narrative vulnerability?

The distinction and integration between their professional services and their software platform is the most likely area for hallucination or oversimplification.

What problems does A-LIGN solve for buyers?

Buyers turn to A-LIGN for Manual Spreadsheets & Email: Security and compliance teams manually tracking controls in spreadsheets and collecting evidence via email., Boutique Consulting/Audit Firms Mazars or local CPAs: Hiring boutique IT audit firms or local CPA firms to perform manual, point-in-time assessments., among 2 documented problem areas.

What questions do buyers ask AI about A-LIGN?

Buyers evaluating A-LIGN typically ask AI models about "best SOC 2 audit firms for startups", "FedRAMP 3PAO assessment providers", "compliance automation software comparison", and 2 similar queries.

Who are A-LIGN's main competitors?

A-LIGN's main competitors are Coalfire, Drata, Schellman. According to AI models, these are the brands most frequently named alongside A-LIGN in buyer-intent queries.

What does A-LIGN offer?

A-LIGN's core products are SOC 2 Audits, ISO 27001 Certification, HITRUST Assessments, FedRAMP 3PAO Services, A-SCEND Compliance Software.

How is A-LIGN priced?

A-LIGN uses Enterprise/Custom (Project-based or annual subscription including audit fees).

Who does A-LIGN target?

A-LIGN serves Technology companies, SaaS providers, healthcare organizations, and federal government contractors..

What differentiates A-LIGN from competitors?

A-LIGN The rare combination of being a licensed CPA firm and a software developer, allowing them to provide both the compliance platform and the final, legally-valid audit report.

Brand Authority Index (BAI) tier: Contender (exact score locked for unclaimed brands)

Archetype: Challenger

https://optimly.ai/brand/a-lign

Last analyzed: April 10, 2026

Verified from A-LIGN website

Founded: 2009

Headquarters: Tampa, Florida, USA

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About this profile

This profile is part of the Optimly Brand Trust Registry — a verified index of 60,000+ brand profiles that AI models read from when answering buyer-intent questions about brands and categories. Optimly identifies which third-party sources AI cites about each brand, prepares structured brand information for those sources, and measures whether AI representation improves.

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