The search engine is changing in nature. Internet users are increasingly asking their questions to ChatGPT, Perplexity, or Gemini, and reading a synthesized response instead of browsing a list of links. For brands, the challenge is shifting: it is no longer enough to be well positioned on Google, you must be cited in the response generated by AI. This is exactly the problem AuditAE addresses. The tool allows you to submit purchase-intent prompts and verify, engine by engine, whether your domain appears in the responses, either as a link or as a simple text mention. This discipline, sometimes called GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization), is becoming an essential complement to traditional search engine optimization. AuditAE positions itself as a factual measurement tool for this new visibility, with a pay-as-you-go pricing model that makes it accessible from your first audit, with no commitment or monthly subscription.
What is AuditAE?
The essentials
AuditAE is a brand citation tracking tool for AI search engines. Concretely, you enter your brand name, your domain, and a series of prompts representative of what your prospects might ask an AI. The tool executes these prompts in parallel on ChatGPT, Perplexity, Gemini, and Google AI Overviews, then analyzes the responses to identify which domains are cited. Its promise boils down to one sentence: be cited in the response, or remain invisible. Rather than measuring link rankings, AuditAE measures your direct presence in the text that the user reads, which corresponds to how information is actually consumed in a conversational search.
Key features
AuditAE detects two types of presence: clickable citations with source attribution, and unlinked mentions where your brand is named in the text without linking to a site. For each prompt, the tool also identifies cited competitors, giving you a true read of share of voice. A position analysis indicates where in the response your first mention appears, via character index, while a sentiment classification rates each citation as positive, neutral, or negative. Audits can be compared over time thanks to a trends feature, useful for measuring the impact of a content initiative. On the access side, AuditAE offers a dashboard, a REST API, and an MCP server compatible with Claude Desktop, Cursor, and Cline, as well as white-label PDF export for client reporting. This combination covers both one-off manual use and integration into automated workflows or AI assistants.
Use cases
An SEO agency can audit the AI visibility of multiple clients and deliver a white-label PDF report showing who is cited on strategic queries. A brand manager regularly monitors mentions to detect a loss of ground against a competitor on ChatGPT or Perplexity. A content team tests a batch of prompts before and after publishing a pillar article to verify whether the new resource is now being cited. A developer or AI engineer integrates the REST API to trigger automated audits in an internal pipeline, or connects the MCP server to their assistant to query visibility directly from their work environment. Finally, a marketing team can map their share of voice across a basket of purchase-intent queries to prioritize their content efforts.
Advantages
The main benefit of AuditAE is making measurable a dimension that has long remained unclear: your brand’s visibility inside AI-generated responses. By covering four engines in a single request, the tool saves you from manually testing each platform. Detection of unlinked mentions is particularly valuable, as these citations escape traditional SEO tools while still influencing perception. The pay-as-you-go pricing model removes the subscription barrier: you only pay for what you consume, and the welcome credit lets you test without risk. Competitive analysis and sentiment add qualitative context beyond a simple yes or no. For agencies, white-label export transforms this data into an immediate client deliverable.
Pricing
AuditAE operates on a pay-as-you-go model with no subscription. The rate is $0.05 per prompt and per engine queried. An audit of 5 prompts run across 4 engines therefore costs $1.00. To allow you to test the tool, AuditAE offers a $5 startup credit. This model works well for one-off audits and controlled usage, since the cost remains proportional to the volume you actually test. However, you should anticipate that frequent monitoring involving many prompts and multiple engines can quickly drive up the bill in the absence of a capped plan.
Conclusion
AuditAE answers a concrete and increasingly pressing need: knowing whether your brand exists in the eyes of the AIs that now answer internet users’ questions. Its multi-engine coverage, detection of unlinked mentions, and access via API and MCP make it a serious tool for agencies, brand managers, and technical teams. The pay-as-you-go pricing makes it immediately accessible while requiring some vigilance over budget in case of high-volume monitoring. For measuring and managing your presence in generative search, it’s a factual and well-designed component that usefully complements traditional SEO tools.