What CLEA does

CLEA helps you understand how AI systems talk about your company, your competitors, and the sources around your market. The product starts from buyer-style questions. These are the questions a real buyer might ask ChatGPT, Gemini, Perplexity, or another answer engine before choosing a vendor.

Instead of treating those answers as one-off screenshots, CLEA stores the runs as workspace evidence. That evidence becomes the base for analytics, suggestions, and content work.

Visibility prompts are the tracked questions. They should sound like a buyer, not like an internal SEO keyword list.

A strong prompt asks for a real decision. For example, it might ask for the best tools in a category, alternatives to a known competitor, or the safest option for a specific use case.

Weak prompts are too vague, too branded, or too hard to measure. CLEA can still run them, but the output will be less useful.

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Each prompt result can show whether your brand was mentioned, which competitors appeared, and which URLs shaped the answer.

That distinction matters. Being read by an AI system is not the same as being recommended. A page can appear as a source without your company being named in the final answer.

Prompt runs are saved as chatlogs. A chatlog is the evidence trail for an answer. It gives CLEA something concrete to inspect later.

When CLEA creates a suggestion card or explains a visibility change, it should point back to this kind of evidence.

Data is only useful when it leads to a decision. CLEA uses the stored prompt evidence, dashboard signals, and workspace files to suggest the next useful action.

The first useful actions are usually simple. Review AI readiness, improve weak prompts, check competitors, connect important data sources, or turn a clear gap into content work.

AI readiness checks look at whether your website is easy for AI systems to access, understand, and trust. The checklist lives in the AI Visibility Overview.

Use it early. It is the best first place to find obvious blockers before you spend time on advanced workflows.

Suggestion cards are CLEA's action format. A good card should explain one next step and give you a clear CTA.

The first cards often help with setup. Later cards can come from recurring agent prompts, prompt result changes, source gaps, or content opportunities.

Review source gap on comparison prompts

Competitors are named from review pages where your brand is missing. Inspect the prompt evidence and decide whether this needs a page update or source review.

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Agent prompts tell CLEA to do work after data exists. They can be one-time tasks or recurring routines.

For example, a recurring agent prompt can review prompt results each week and send suggestion cards when something useful changes.

The workspace is not only a dashboard. It is also the place where you talk with CLEA and give it context.

That context can come from the dashboard, chatlogs, files, workflows, and sitemap plans.

Chat is the main way to work with CLEA. You can ask it to explain a prompt result, compare competitors, inspect a source gap, or turn a finding into a suggestion card.

The best questions point CLEA at the workspace data you want it to use.

You can add files and folders to the workspace so CLEA can use them as context. Standard workspace structure can include files like AGENTS.md, workflows, and sitemap-related folders.

Files are useful when you want repeatable work. A workflow file can tell CLEA how to review prompt results, write a report, or prepare content.

Goal: review prompt results and create one useful next step.
Inputs: latest chatlogs, sources, competitors, open suggestions.
Output: one suggestion card when the evidence is clear.

File mentions let you point CLEA at a specific file or folder during chat or scheduled work.

This keeps prompts short. Instead of pasting the same routine again, you can refer to the file that already explains the routine.

When GitHub is connected, CLEA can help with sitemap expansion and page writing. This part is for teams that want to turn visibility gaps into website improvements.

The current sitemap expansion flow expects a /clea-sitemap-expansion folder at the root of the connected repository.

The sitemap view helps you plan which pages exist, which pages need work, and where new pages may belong.

Use it after you have enough prompt and source evidence to know what content gaps matter.

The page writer can help draft or improve pages from workspace context. It should use evidence from prompts, sources, competitors, SEO checks, and the sitemap plan.

Use human review before publishing. CLEA can help write, but your team still owns claims, positioning, and final quality.

Publishing should stay deliberate. Review the draft, check internal links, confirm the SEO score and structured data, then publish through the connected flow when the page is ready.

The simplest path is the best path at the start.

• Release CLEA on one domain.
• Wait for the first prompt data.
• Review AI readiness and the visibility overview.
• Inspect prompts, sources, and competitors.
• Work through the first suggestion cards.
• Ask CLEA what to do next, using the evidence already in the workspace.