AI Marketing Automation
Copy ready-to-run prompts for using Zeover from Claude, Cursor, Codex, or any MCP-aware AI agent. Start with setup, then audit, fix, generate, and operate your AI visibility loop.
Brand-new visitor. Wants to understand the product before paying for anything.
$ What does Zeover do? Walk me through how it would help a B2B SaaS company that wants to show up when buyers ask ChatGPT for category recommendations. You're ready to install the MCP. You need to create an account and grab an API key.
$ Open https://zeover.com/register, sign up free, then go to Settings -> API Keys and create one. Copy the key. Run the install command in scenario 3 with your key. Wire Zeover into Claude Desktop, Claude Code CLI, Cursor, or any MCP-aware agent.
$ claude mcp add --transport sse zeover https://api.zeover.com/api/v1/mcp/sse --header "Z-API-Key: YOUR_KEY" Spin up your first brand profile so Zeover knows what to optimize for.
$ Using Zeover, create a new brand for me called "Example.com" at https://example.com. The brand sells AI-powered customer support to B2B SaaS companies. Set up the basics from the website. Auto-extraction may need editing. See what Zeover inferred from your site.
$ Show me the onboarding profile Zeover generated for Example.com. List the target audience, selling points, and competitors it inferred. Highlight anything that looks wrong. Choose the questions buyers ask AI engines that should put Example.com in the answer.
$ For Example.com, add these target queries for benchmarking: "best AI customer support for SaaS", "top customer support AI tools 2026", "AI agents for SaaS helpdesk". Get a baseline AI-readability score for your site.
$ Run a Zeover audit on Example.com and summarize the failing checks by severity. Group them so I can see what to fix first. One page is dragging the domain score. Find out why.
$ Which Example.com page has the worst Zeover score and what specifically is failing on it? Show me the metric scope so I can see the offending content. See current position across every AI engine for every target query.
$ For Example.com, show me my current rank position across every AI engine for every target query. Group by engine and flag any query where I'm not in the top 5. Find the brands AI cites when it should be citing you.
$ For Example.com, list the top 5 competitor brands that AI engines cite ahead of me. Show which queries they win on. Tell me what content gives them an edge. Most sites are missing llms.txt entirely. This is the single highest-impact fix.
$ Generate an llms.txt for Example.com based on the audit findings. Validate every referenced URL with an HTTP HEAD check. Show me the file and the validation report. Once it looks good, I'll publish it to my CDN. Em-dashes, zero-width characters, mojibake. AI engines downweight these as machine-generated.
$ Take the body content of Example.com/blog/why-ai-support and run it through Zeover's artifact remover. Return the cleaned version highlighted with diffs. You shipped a wave of fixes. Confirm the score moved.
$ I just published changes to Example.com. Trigger a fresh Zeover reprocess and tell me the new domain score and which checks now pass that didn't last week. Long-form content built for AI engines to cite, in your brand voice, with social cross-posts.
$ Generate a Zeover blog post for Example.com titled "How AI-powered customer support cuts ticket resolution time in half". Include three headline variants and a LinkedIn cross-post. Funding round / feature launch / partnership announcement. Wire-ready format with cross-posts.
$ Generate a press release announcing that Example.com just closed an $8M Series A led by Sequoia, with quotes from our CEO. Include LinkedIn and X variants. Multi-channel campaign from one prompt. Brand-locked, channel-tuned.
$ For Example.com, generate one LinkedIn post, one X post (under 280 chars), one Instagram caption, one TikTok caption, and one Facebook post about our new "Multi-language Support" feature. All in our brand voice. Need both iOS and Android store listings written for discovery + conversion.
$ Example.com is launching iOS and Android apps. Generate the App Store description (under 3,999 chars) and the Play Store description (under 3,000 chars). Focus on AI customer support for B2B SaaS. Founder/executive LinkedIn profile rewritten so AI engines cite them for category authority.
$ Here's our CEO's current LinkedIn About section: [paste]. Rewrite it so AI engines will surface her as an authority on AI customer support. Keep it under 2,000 characters. Trade show form, partner application, funding portal. Auto-fill with your brand profile.
$ Here are the fields on this YC partnership application: [paste fields]. Use Example.com's brand profile to fill them all in. You shipped new pages. Don't wait weeks for the AI training cycle to catch up.
$ I just published 4 new blog posts to Example.com. Submit LLM update notifications for each so ChatGPT, Gemini, and Claude pick up the changes faster than the next training cycle. 