ClayHog

What is ClayHog?

ClayHog is an AI Search Visibility and GEO (Generative Engine Optimization) platform that helps you understand how your brand appears in responses from AI assistants and AI overviews. It monitors what models say about your brand—whether you’re recommended, compared, or dismissed—and surfaces the gaps you can address.

The platform tracks AI brand visibility, brand sentiment, citations to your pages, and competitor positioning across multiple platforms. It’s designed to help teams improve content so they earn more citations and visibility in AI answers.

Key Features

• AI brand visibility monitoring across models: Track where your brand appears in AI answers and how that visibility changes over time.
• Brand sentiment scoring: Measure sentiment (framed through tone and confidence) and track shifts versus previous periods.
• Citation and page tracking: See which sources cite your brand, how many pages are cited, and which items drive mentions.
• Competitor analysis: Compare your visibility and positioning against competitors in generated AI answers.
• Prompt tracking (prompt visibility): Monitor high-impact prompts and track response volume and differences for brands, organic sources, and competitors.
• Multi-platform “AI overview” tracking: Track AI overview presence and citations across platforms mentioned on the site, including AI assistants and additional channels referenced in the interface (e.g., video and community mentions).

How to Use ClayHog

1. Start a free trial to access the platform.
2. Run an initial GEO audit to generate first insights.
3. Review the AI brand monitoring dashboard for visibility, sentiment, mentions, and citation/page counts.
4. Analyze competitor breakdowns and content gaps to identify where competitors are ranking above you in AI answers.
5. Use prompt tracking to monitor the queries that shape how AI talks about your brand, then adjust your content accordingly.

Use Cases

• SEO team expanding into AI search: Use visibility and citation tracking to understand whether your existing content is being cited in AI answers and identify pages that need improvement.
• Marketing team monitoring brand sentiment: Track sentiment over time to see whether AI frames your brand more positively, neutrally, or negatively compared with prior periods.
• Competitive analysis for brand comparisons: Monitor which competitors are gaining visibility in specific AI platforms and assess competitor positioning in generated responses.
• Content teams addressing content gaps: Use the platform’s “content gaps” and citation insights to focus updates on what AI is citing (or not citing) in relevant answers.
• Agency management across clients: Use a centralized dashboard to monitor multiple brands’ visibility and sentiment, along with competitor comparisons.

FAQ

• What does ClayHog measure? ClayHog measures AI brand visibility, brand sentiment, mentions, and citation/page counts, and it also includes competitor analysis and prompt tracking for high-impact queries.

• Which AI experiences does ClayHog track? The site specifically references tracking across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.

• Do I need to know GEO before using it? The site includes a link to learn what Generative Engine Optimization (GEO) is, suggesting it can be used as an entry point for users new to the concept.

• Is there a trial or onboarding step? The site states that a free 7-day trial is available and that you can run a free GEO audit tool (no credit card required) for initial insights.

• How does prompt tracking help? Prompt tracking is used to identify which prompts shape how AI talks about your brand and to monitor rankings/visibility for those prompts.

Alternatives

• Generative/AI SERP analytics tools: Tools focused on tracking AI search results and model outputs can serve a similar monitoring role, but may not include GEO-oriented prompt tracking or citation/page-level reporting.
• Traditional SEO platforms with AI/LLM reporting add-ons: SEO suites that focus on rankings in search engines may help with keyword strategy, but typically don’t measure AI assistant responses, sentiment, or citations in the same way.
• Brand reputation and social listening platforms: These can help monitor how people talk about your brand, but they focus on human-generated content rather than what AI systems themselves recommend or cite.
• Content analytics and CMS-focused optimization tools: Tools that measure content performance can support optimization work, but they may not reveal how AI assistants cite or position your brand in generated answers.