Compare AI visibility tools by prompt outcome.

Prompt coverage

Tracks category, recommendation, comparison, alternatives, and problem-aware prompts.

Ask whether prompts are grouped by buying journey, not just stored as a flat keyword list.

Freshness and cadence

Runs recurring scans often enough to catch answer movement, source changes, and model differences.

A one-off scan is useful for baseline work, but serious reporting needs scheduled monitoring.

Custom prompt method

Supports your own buyer prompts plus discovered prompt opportunities and intent grouping.

Avoid prompt databases that cannot represent your actual category, market, or product language.

Answer share

Shows brand mentions, answer position, competitor overlap, and sentiment movement.

Avoid tools that only count mentions without showing the answer context.

Source hygiene

Classifies owned pages, third-party reviews, listicles, docs, forums, and competitor domains.

The workflow should reveal which sources to improve or replace.

LLM and market breakdowns

Separates ChatGPT, Gemini, Perplexity, Google AI, country, language, and prompt-intent performance.

Different answer surfaces can include different brands, so blended totals can hide gaps.

Action workflow

Turns misses into content briefs, llms.txt updates, FAQ work, comparison pages, and outreach.

A dashboard is incomplete if it cannot tell the team what to fix next.

Reporting

Exports prompt-level evidence, response snapshots, citations, opportunity lists, and stakeholder summaries.

Look for source-backed reports instead of vanity visibility scores alone.