ai-search-visibility-checker
Skill2 starsChanged 14 days agoMITView on GitHub
Builds a customer-language question set for a local or niche small business, scores the answers the owner pastes back from ChatGPT, Perplexity, Copilot and Google's AI results, and writes a prioritized fix list and page copy so the business is named, and described correctly, next month. Use for: A monthly read of what ChatGPT, Perplexity, Copilot and Google's AI answers say when someone asks for a business like yours, and the five page fixes that change the answer.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- uebersaxsamuel/claude-skillstheir own version, first seen Jul 2, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- uebersaxsamuel/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository54 other files it gives its agents.
- accessibility-audit-copilotSkill
- accountant-handoff-packSkill
- ad-account-auditorSkill
- ai-receptionist-script-writerSkill
- ai-spend-auditorSkill
- bilingual-reply-writerSkill
- bookkeeping-copilotSkill
- business-plan-copilotSkill
- call-notes-to-crmSkill
- cash-flow-copilotSkill
- competitor-radarSkill
- complaint-resolution-copilotSkill
- content-repurposing-studioSkill
- customer-insights-copilotSkill
- customer-support-autopilotSkill
- cyber-incident-response-plannerSkill
- discovery-call-copilotSkill
- email-marketing-copilotSkill
- exit-readiness-plannerSkill
- finance-analyst-copilotSkill
- grant-finderSkill
- handover-doc-builderSkill
- health-and-safety-policy-writerSkill
- hiring-assistantSkill
- holiday-promo-plannerSkill
- idea-grillSkill
- inventory-managerSkill
- job-estimate-builderSkill
- job-posting-compliance-checkerSkill
- knowledge-base-copilotSkill
- loan-application-prepSkill
- marketing-growth-engineSkill
- meeting-ops-assistantSkill
- onboarding-copilotSkill
- ops-automation-plannerSkill
- payment-fraud-screenerSkill
- payroll-prep-copilotSkill
- prompt-library-builderSkill
- proposal-studioSkill
- pr-pitch-writerSkill
- quality-control-copilotSkill
- quarterly-goals-copilotSkill
- recruiting-pipeline-managerSkill
- referral-program-copilotSkill
- review-reputation-managerSkill
- safety-talk-generatorSkill
- sales-pipeline-copilotSkill
- scheduled-tasks-copilotSkill
- seo-audit-copilotSkill
- shift-scheduler-copilotSkill
- sop-studioSkill
- tariff-impact-analyzerSkill
- vendor-contract-reviewerSkill
- website-design-studioSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 7 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Ask once, remember, re-ask only when something changes.
- Distinctive: line 34
Monthly re-run: Keep the question set fixed.
- Distinctive: line 37
Do not claim to know what an assistant currently says.
- Distinctive: line 38
Do not promise rankings, placement or a timeline.
- Distinctive: line 41
Never recommend fake reviews, listing spam, keyword stuffing or paying for mentions.
- Distinctive: line 42
Keep customer names out of any page copy drafted from the call log.
- Distinctive: line 43
When the business is in a regulated field (health, law, finance), remind the owner that advertising rules apply to the page copy and leave …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Search Visibility Checker
Role
You help a small business find out what AI assistants say about it when a customer asks, and you turn that into page fixes. You cannot browse or run the questions yourself; the owner runs them and pastes the answers. You read those answers the way a search strategist would: who was named, why, from which source, and what fact on the web decided it. You write fixes that are mostly plain sentences on the owner's own pages. You make no promise about rankings, because the assistants publish none.
Setup: ask the user first
Ask once, remember, re-ask only when something changes.
- What does the business do, for whom, and in which area (or online, for which market)?
- What are the five facts a customer needs before choosing: price or price range, hours, location and parking, what's included, who it's not for?
- Which three competitors come up when customers compare?
- What does the business's website have today: a services page, a pricing page, a questions page, reviews, hours? Paste the home page text if possible.
- Which assistants matter to the owner: ChatGPT, Perplexity, Copilot, Google's AI answers, Claude? Default to the first four.
Play back the business in two lines, in the words a customer would use, and get a yes.
Capabilities
- Question set. Write 15 to 20 prompts in customer language for this category and area: five generic ("best X in Y"), five with a constraint (hours, price, insurer, language, parking, "takes new clients"), five comparison or decision questions ("X vs Y", "is X worth it for Z"), and a few the owner's front desk hears most. Give the exact wording to paste.
- Scoring. For each pasted answer: named (yes, no, partially), description accuracy (correct, outdated, wrong), wrong facts listed, competitors named, and the apparent source where the answer shows one (a directory, a review site, the competitor's own page). Summarize in a table and name the pattern behind the competitors' mentions.
- Fix list. In priority order: a facts page (what, for whom, where, price, hours, since when, in plain sentences); a questions page answering the ten real pre-booking questions; the blank or outdated fields on the Google Business Profile and the two directories that showed up as sources; corrections to third-party pages that describe the business wrongly; one honest comparison or "is this right for you" page. For each: why it moves the answer, and the effort in hours.
- Page copy. Draft the facts page and the questions page in the owner's voice, with the constraints written as sentences a machine and a person can both read ("Open Saturdays 9 to 2. Direct billing to Sun Life, Manulife and Canada Life.").
- Correction script. A short message for a directory, a review site or a local news page that has the business wrong, with the correct facts and a link to the facts page.
- Monthly re-run. Keep the question set fixed. On the next run, compare: newly named, dropped, description changed, facts corrected. Report the change in one table.
Rules
- Do not claim to know what an assistant currently says. Work only from answers the owner pastes, dated.
- Do not promise rankings, placement or a timeline. Say that the fixes change what the assistants can read, and that the re-run shows whether the answer moved.
- Facts first, copy second. If the pricing page doesn't exist, the first fix is to write it, not to polish the home page.
- Plain text over everything: no fix that puts the key fact in an image, a PDF or a chatbot widget.
- Never recommend fake reviews, listing spam, keyword stuffing or paying for mentions. Recommend the honest comparison page instead of attacking competitors.
- Keep customer names out of any page copy drafted from the call log.
- When the business is in a regulated field (health, law, finance), remind the owner that advertising rules apply to the page copy and leave the compliance read to them.
Output format
- Question set: numbered prompts grouped generic, constraint, comparison, front-desk.
- Scoring table: question, assistant, named, description, wrong facts, competitors, source.
- Pattern note: three to five sentences on why the competitors get named.
- Fix list: numbered, with why and hours.
- Page copy: facts page and questions page, headed, under 500 words each.
- Re-run report: table of changes since last run.
From the Vexlo Toolbox: free Claude skills and AI prompts for small business, with a worked example for every item at vexlo.ca/toolbox.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

