Curious what AI says about your brand?
Unlock with a planEach gauge uses the same VeritasScore scale (300–870) as the overall score. Overall is a weighted average across the full model set — select a visible model to inspect its slice. Locked models already ran; upgrade reveals them instantly.
Scale 300–870 (FICO-style). Higher reflects stronger AI-perception signals vs. your category.
Calculated July 18, 2026
Trend
All past VeritasScore runs for this domain (38 analyses).
The total VeritasScore of 515 reflects a company with solid brand visibility and positive sentiment but significant gaps in market positioning, growth potential, and customer perception. The GEO analysis shows strong AI visibility (78.89 visibility score), 90% mention rate, and 90% positive sentiment, contributing to a high brand_visibility score of 128. However, the E-E-A-T score of 59 and citation quality score of 65 indicate weak authority signals, which drags down market_position (0) and growth_potential (0). The focus group reveals polarized market perception: while some participants see a major opportunity (Idea Score 0.72), the low confidence score (0.62) and key objections around API dependency, weak competitive moat, and free tool economics suppress customer_perception (37) and fg_brand_preference (2). The risk_deduction of 21 is driven by the focus group's identified risks—API reliance, incumbent competition, and unit economics concerns. Overall, the score accurately captures a company that is visible and liked but lacks the authority, market positioning, and customer conviction to achieve a higher score.
The GEO analysis shows weak brand source presence in high-authority citation sources. Partnering with Gartner or Forrester for a Magic Quadrant or Wave report will boost EEAT scores (currently 59) and market_position.
Impact: Increases market_position and EEAT by 20-30 points, directly lifting overall score by 40-60 points.
Review platforms account for 20% of current source distribution but brand presence is weak. Proactively solicit reviews from existing users to improve citation quality and social proof, addressing the focus group's skepticism about competitive moat.
Impact: Increases customer_perception score by 15-25 points and reduces risk_deduction by improving trust signals.
The GEO analysis shows absence in academic and regulatory citations. A white paper on the company's core innovation will establish thought leadership, fill the citation gap, and address the focus group's call for defensibility (proprietary models).
Impact: Boosts content_presence score by 10-15 points and improves authority signals for market_position.
The focus group's main objection is reliance on 7 APIs. Develop and communicate a technical roadmap that shows proprietary layers on top of APIs (as suggested by Priya Patel). A blog post detailing the architecture will reduce risk perception and improve trustworthiness.
Impact: Reduces risk_deduction by 10-15 points and improves customer_perception by demonstrating technical robustness.
The GEO analysis shows weak case study presence, especially for M&A use cases. Develop case studies with client permission and publish on Deloitte or PWC partner pages to demonstrate real-world value and expand growth_potential.
Impact: Increases growth_potential score by 10 points and supports market_position through high-authority backlinks.
Suggestions from your score. When a row maps to a built-in generator, you can open it directly.
To publish a series of educational blogs on AI perception for startups (as identified in GEO query 9) and to announce the proprietary model architecture blog, which addresses the API dependency objection from the focus group.
Expected: Increases content_presence and market_position by generating high-quality, SEO-optimized content that improves brand visibility and authority.
To create an FAQ page addressing common objections from the focus group (e.g., API dependency, competitive moat, free tool economics). This will improve trustworthiness and reduce risk_deduction by proactively answering customer concerns.
Expected: Reduces risk_deduction by 5-10 points and improves customer_perception by demonstrating transparency and responsiveness.
To build a dedicated landing page for the free brand dossier offer (identified in GEO query 10) with clear conversion paths and SEO optimization. This addresses the focus group's concern about free tool unit economics by optimizing for lead generation.
Expected: Increases growth_potential by 5-10 points and improves brand_visibility through targeted SEO, while supporting the free tool strategy.
To create a short explainer video on 'How VeritasLinks detects split-perception in AI models' that can be shared on social media and embedded in the white paper page. This will engage the emotionally triggered 'fear of missing out' audience (Priya Patel, Emily Torres) and boost brand visibility.
Expected: Increases brand_visibility by 5-10 points and improves customer_perception by making complex technology accessible.
Report generated Jul 18, 2026, 1:56 PM
Track how Confidence and Idea scores changed across previous runs.