DeepAudit Description
DeepAudit is a diagnostic tool for AI search visibility developed by Canlah AI, an SEO and generative engine optimization firm based in Singapore. It engages with ChatGPT and Gemini to pose buyer-specific inquiries regarding a business while assessing the frequency of the brand's mentions alongside three chosen competitors, meticulously noting the pages and sources referenced in the responses. Additionally, the tool conducts a thorough evaluation of the business's website and external presence to identify any factors that might hinder its visibility in AI results. Clients are provided with a comprehensive PDF report, ranging between 40 and 80 pages, which includes an evidence pack of AI-generated responses, a summary, a prioritized list of necessary improvements, and a 90-day action plan for implementation. This report is delivered via email within seven working days after the confirmation of the questions. By utilizing DeepAudit, marketing teams, entrepreneurs, businesses, and agencies gain valuable insights into how AI-generated responses reflect their brand and what crucial steps they need to take to enhance their visibility. Ultimately, this tool empowers businesses to make informed decisions that can significantly improve their online presence and engagement.
DeepAudit Alternatives
AuthorityTech is the world’s first AI-native Machine Relations agency and platform, engineered to position ambitious brands inside the Tier-1 publications that AI search engines inherently trust, retrieve, and cite. While conventional PR convinces humans through retainer-based effort, AuthorityTech optimizes for the new primary reader—the machine—through a 100% outcome-based, pay-per-placement model. This ensures leading answer engines, including ChatGPT, Perplexity, Gemini, and Google AI Overviews, can seamlessly index the brand, map it to its rightful category, and cite it when buyers ask high-intent questions.
Coined in 2024 by Founder and CEO Jaxon Parrott, Machine Relations is the discipline of making a brand discoverable and citable by AI systems. Parrott built AuthorityTech to execute the five-layer Machine Relations stack: Earned Authority, Entity Clarity, Citation Architecture, Distribution, and Measurement. This unifies GEO, AEO, AI SEO, and digital PR into a single ecosystem for building machine trust.
Cofounder and Chief Growth Officer Christian Lehman operationalizes this strategy, deploying the methodology at scale. Leveraging a direct network of over 1,600 Tier-1 publications, AuthorityTech has secured thousands of AI-cited articles for 200+ clients, including 27 unicorn startups, to guarantee sustainable AI visibility and measurable share of citation.
The agency executes this via a three-part framework:
Map: Analyzing target categories and competitor LLM prompts.
Match: Aligning brand narratives with authoritative outlets.
Place: Securing guaranteed placements through relationship-led outreach.
Learn more
HubSpot AEO is a specialized optimization tool designed to help businesses increase their visibility in AI-generated search results. It focuses on how brands are represented in answers provided by AI platforms such as ChatGPT, Gemini, and Perplexity. The platform provides a visibility score that measures how frequently a business appears in AI responses and evaluates the sentiment of those mentions. It also identifies and tracks relevant prompts that potential customers are using when interacting with AI tools. HubSpot AEO analyzes the sources, domains, and content types that influence AI-generated answers. This allows businesses to understand what drives their presence in AI search results. The platform provides clear, prioritized recommendations to improve visibility and performance. Integration with HubSpot’s CRM enhances insights by using customer data to refine optimization strategies. The tool simplifies the process of adapting to AI-driven search trends without requiring deep technical expertise. Overall, HubSpot AEO helps businesses stay competitive as AI becomes a primary discovery channel.
Learn more
Picked
Picked is a software-as-a-service solution designed to track how brands are represented in AI-generated search results as well as in traditional web searches. It monitors specified buyer prompts across platforms such as ChatGPT, Claude, Gemini, Perplexity, and Google AI search, delivering insights on brand mentions, ranking positions, and the pages referenced. By offering visibility and content-gap analytics, marketing teams can pinpoint where competing brands are referenced, while keyword-gap assessments link these prompts to standard search inquiries. Additionally, Picked includes AI crawler analytics through server or hosting logs, highlights directories and review pages that AI systems reference, and aids in article planning and drafting to capture potential content opportunities. Teams can create designated workspaces for different client brands and generate reports tailored for agency clients. This platform is particularly aimed at SEO and marketing agencies, as well as B2B software marketing teams, looking to enhance and monitor their visibility in AI-driven discovery environments. With its comprehensive tools, Picked empowers users to strategically optimize their online presence in an increasingly AI-centric digital landscape.
Learn more
BotSay
BotSay is an innovative AI-driven platform developed by Caspio, designed to enhance search visibility and optimize generative engine performance (GEO) for marketing teams focused on assessing their brand's presence within AI-generated responses. Each week, it systematically poses a curated list of buyer inquiries to a variety of AI systems, including ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and Google AI Mode, subsequently compiling the answers along with their sources. Utilizing this information, BotSay effectively ranks web pages and identifies potential websites for brand mentions. Teams can log the publication dates of pages and track subsequent answers to their targeted questions, enabling them to analyze trends over time. Additionally, the platform facilitates competitive analysis by comparing metrics such as mention rate, share of voice, average ranking, cited pages, and sentiment against selected competitors. The reporting functionality is anchored on the chosen questions and the responses recorded; however, it's important to note that fluctuations in visibility alone do not necessarily indicate that a particular page was responsible for such changes. This comprehensive approach ensures that marketing teams not only monitor their performance but also stay informed about their competitive landscape.
Learn more
Pricing
Pricing Starts At:
$99 one-time
Pricing Information:
One read is a one-time $99 purchase for a human-reviewed report delivered by email within seven working days after questions are confirmed. Month read is a one-time $189 purchase for two reports, one at the start and one at the end of the month. The DeepAudit fee can be credited toward Canlah agency services, excluding the Canlah All-Stars subscription.
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Canlah AI
Year Founded:
2026
Headquarters:
Singapore
Website:
canlah.ai/product/#deepaudit
Media
Audit report page with an AI Funnel Position chart and three ranked top actions concerning citation visibility, query mapping, and structured data.
Recommended Products
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Product Details
Types of Training
Training Docs
Customer Support
Online Support
DeepAudit Features and Options
DeepAudit User Reviews
Write a Review- Previous
- Next
