AI Visibility Checker Guide

What an AI visibility checker actually measures

An AI visibility checker answers a different question than Google Search Console. GSC tells you where you rank in blue links. An AI visibility checker tells you whether assistants mention your brand when someone asks a category question. and whether your site is structured so models can retrieve accurate facts.

Those are related but not the same. You can rank on page one and still be absent from ChatGPT, Perplexity, or Gemini answers on the prompts that drive consideration. You can also get mentioned while sending zero measurable traffic if your landing experience or tracking is broken.

Separate four signals and never merge them into one fake certainty score: retrieval readiness (what you control), live mention probes (what engines say today), grounded corpus checks (would retrieval cite you), and measured AI referrals (Signal traffic after you ship fixes).

Why AI visibility matters now

Buyers ask assistants before they click. Category prompts. “best CRM for agencies,” “how to track AI referral traffic,” “Learn Domains vs Ahrefs”. are zero-sum in the answer box. If your brand is missing, a competitor owns the narrative without winning a traditional SERP.

Operators who only watch keyword rankings will optimize the wrong variable. AI visibility work is entity clarity, citable corpus, third-party proof, and prompt-specific content. not another meta description tweak on a page that assistants never fetch.

How to check your AI visibility

1. •Run the free AI Visibility Checker with your domain. Brand and category are inferred from your homepage; override in Advanced if needed.
2. •Read readiness first. llms.txt, sitemap, robots AI policy, schema. Fix infrastructure before obsessing over mentions.
3. •Review live probes on ChatGPT, Perplexity, and Gemini. Note which category prompts cite you and which cite rivals.
4. •Start a $1 trial, connect the site, and open AI Visibility Lab for persistent prompt monitoring.
5. •Materialize top gaps as Growth Orders; draft content in Content Operations; measure lift with Signal.

The free checker is deliberately capped: one check per day per IP, 3 prompts on ChatGPT, Perplexity, and Gemini, plus readiness. That is enough to diagnose. not enough to replace weekly trend monitoring inside the app.

What the free checker shows vs what the command center unlocks

Prompt monitoring: what to track

Prompt monitoring is not “track 500 random keywords.” It is a curated set of questions your buyer actually asks assistants. category comparisons, best-of lists, problem-solution queries, and branded alternatives.

• Money prompts: queries that map to pricing, signup, or demo pages.
• Category prompts: “best X for Y” where you need entity inclusion.
• Competitive prompts: “X vs Y” and alternative searches.
• Defensive prompts: brand name + reviews, pricing, or trust questions.

Inside Learn Domains, prompts live on the website record. Plan caps apply (5–25 active prompts). GEO Monitor Pro adds multi-model and geo-targeted runs with a monthly response meter. overflow uses Mission Fuel credits with preflight confirmation.

What a good prompt set looks like

Bad prompt set: “marketing,” “SEO,” “AI.” Too broad. every engine mentions someone, and you learn nothing actionable.

Good prompt set: “AI visibility monitoring for B2B SaaS,” “website command center for agencies,” “Mission Brief vs SEO dashboard.” Niche, repeatable, tied to pages you can improve.

How to compare competitors

Competitor AI visibility comparison is mention share on shared prompts. not market share. The free checker accepts up to three competitor names and shows sample share-of-voice across ChatGPT, Perplexity, and Gemini on three prompts. In-app monitoring persists competitor scores over time.

When a rival wins three consecutive weekly probes on a money prompt, that is a Mission Brief signal. counter-position content, comparison page, or third-party proof. not a reason to buy more probe credits blindly.

How Learn Domains checks AI visibility

• Readiness: deterministic fetch of llms.txt, robots, sitemap, schema.
• Live mentions: ChatGPT, Perplexity, and Gemini probes on generated category prompts.
• Grounded corpus: optional in-app check. if AI retrieved your public corpus, would it cite you?
• GEO Monitor Pro: provider-backed multi-model probes (credit-gated, admin kill switch protected).
• Signal: measured AI referral traffic on your domain after fixes ship.

All paid provider calls route through the provider cost gateway. Anonymous free-checker live probes are IP-, domain-, and hourly-capped with platform COGS logged in admin economics. Never unbounded.

How to improve AI visibility

1. •Publish llms.txt and llms-full.txt with entity summary and canonical URLs.
2. •Allow legitimate AI crawlers on public routes; block app/admin only.
3. •Add Organization, WebSite, and Article JSON-LD on indexable templates.
4. •Ship prompt-specific content with citable passages. not thin FAQ spam.
5. •Run Source Discovery and Asset Notebook so Operator answers stay grounded.
6. •Re-scan after Growth Orders complete; corroborate with Signal AI referrals.

Content Operations turns gap prompts into grounded drafts. Brief Studio compiles AI Visibility findings into shareable reports. The AI Visibility Operator skill packages scan, gaps, and recommended actions in one Operator run (credit-gated with preflight).

Common mistakes

• Chasing one-off mention scores without weekly trend data.
• Blocking all AI crawlers while complaining about zero mentions.
• Publishing generic “AI SEO” filler instead of prompt-specific answers.
• Treating sample mention share as revenue. install Signal.
• Ignoring cross-model gaps. one engine may cite you while another skips you entirely.
• Auto-publishing counter-position pages without human review.

Close the loop after the baseline check

When a scan finds missing llms.txt, low mention share, or zero Signal AI referrals, the improvement engine proposes ICEE-ranked fixes. Materialize them as Growth Orders, draft in Content Operations, generate a Brief Studio AI Visibility report, and re-scan after completion.

Mission Brief and Opportunity Engine consume the same signals. Visibility gaps surface as ranked actions, not orphan charts. Agents can read dashboards via the public API and CLI, then propose drafts. Human approval stays on for publish.