VibeRank: See if AI answers can actually find your business
VibeRank builds a business profile first, generates prompts that fit the actual company, captures ranked search queues separately from AI answer citations, compares reruns over time, and turns the gaps into readable graded reports plus an agent-ready Markdown handoff.
VibeSignal Pro
VibeRank checks whether AI answers can find, mention, and cite your business
A normal site scan tells you whether your public surface is secure and readable. VibeRank goes one layer closer to revenue: it asks whether answer engines surface the business for the searches that fit what the company actually does.

The short version
Buyer behavior
People do not ask perfect prompts. They ask messy business-specific questions.
A business owner does not only care whether an AI model can summarize the homepage. They care whether the business appears when someone asks for the problem it solves, the platform it supports, the proof it has, or the local service it provides.
Profile fit
Context
Does the scan understand the business model before it builds prompts?
Search queue
Rank
Does the target domain appear in the top 10 for the tested prompt?
AI answers
Cite
Does the answer mention and cite the business, or lean on competitors?
Think about an AI app repair marketplace. It should not be tested like a local wellness business. Its prompts should look more like "AI app repair service," "Lovable app repair developers," "fix my Bolt app," or "AI app repair service reviews." A dog grooming company, on the other hand, may legitimately need "dog groomers near me Fort Lauderdale." VibeRank is built to know the difference before it tests.
The score matters because answer engines often cite whatever is easiest to trust. If your own site does not have clean offer pages, platform language, review proof, pricing/contact clarity, schema, sitemap coverage, and an llms.txt route that points agents at the right pages, another domain may become the visible source for your market.
Workflow
VibeRank turns the public site into a search visibility test
The scan starts from the same URL you already tested with VibeSignal, then builds a business profile and uses that profile to decide which prompts belong in the run.
01
Build profile
Read the public site and identify the model, category, offers, audience, platforms, locations, and local eligibility.
02
Match prompts
Generate brand, review, use-case, comparison, platform, pricing, and local prompts only when local intent fits.
03
Check queues
Capture ranked search results separately from AI answers, citations, and mention behavior.
04
Find gaps
Show where the target is not in the top 10, where competitors win, or where the answer misses the business.
05
Export fixes
Open the full report, then export Markdown for agents or a branded PDF for operators and clients.
- It reads the public page to infer the business model, category, offers, audience, customer problems, platforms, locations, and local eligibility.
- It generates search-style prompts for brand, reviews, use cases, comparisons, platforms, pricing, and local intent only when local intent is valid.
- Paid users can tune the category, location, local intent, custom prompts, and known competitor domains before running.
- It captures ranked search queues and separately checks whether AI answers mention and cite the target domain.
- It flags when the target is absent from the top 10, when competitors or directories occupy the answer space, or when the AI answer is not target-aware.
- It saves runs so the next scan can show score, search visibility, citation, accuracy, and competitor movement.
- It exports a Markdown plan for agents and a VibeLeak-branded PDF report for operators or clients.
Prompt evidence
The prompts are supposed to sound like real buyers
VibeRank is most useful when the tested prompts look like searches a customer would actually type before calling, booking, subscribing, or buying.
| Prompt VibeRank tests | Buyer intent | What a win looks like |
|---|---|---|
| AI app repair service | Use-case search | The target appears for the app-fix problem it actually solves. |
| Lovable app repair developers | Platform search | Platform-specific buyers see relevant developer repair options. |
| AI app repair service reviews | Proof check | Reviews, proof pages, and trusted profiles support the answer. |
| local dog grooming studio | Name or category lookup | Business appears with its own site cited. |
| dog groomers near me Fort Lauderdale | Local search when eligible | A true local-service business appears as a relevant local option. |
This is why the evidence matters
Progress loop
VibeRank is built for reruns, not one screenshot
Answer visibility changes after you improve pages, schema, proof, pricing, and internal links. The useful workflow is baseline, fix, rerun, compare.
Prompt controls
Tune
Override category, location, local intent, custom buyer searches, and known competitors.
Saved runs
Compare
Review recent VibeRank history for the same signed-in user and domain.
Full report
Read
Open the modal, export Markdown, or download the branded PDF.
That progress loop matters because a business may improve in stages. First the brand appears by name. Then the target site earns citations. Then matched prompts stop drifting toward directories or competitors. Then ranked search queues show the domain moving into view. VibeRank keeps those runs connected so the scorecard can show whether the fix work is moving the right signals.
The practical loop
In practice
Example: a local service business that is visible by name but missing on category searches
Here is what VibeRank might reveal for a fictional dog grooming business in Fort Lauderdale.
Example scorecard
Grade
Score
Contested Signal
The business appears for the name search, but vague category and pricing prompts cite directories and competitors instead.
What the business learns
What the agent can fix
Reports
The export is built for action, not screenshots
VibeRank is more than scan-and-see. The full report is readable in app, the Markdown report can be dropped into Codex, Cursor, Claude Code, or another AI coding agent, and the PDF gives operators a branded version of the saved evidence.
# VibeRank Report - local-grooming-studio.example
## Agent Mission
Improve answer visibility using only verified public facts.
Do not invent services, locations, reviews, prices, awards, or proof.
## Score
- Grade: D
- Score: 46/100
- Confidence: Useful
## Business Profile
- Model: local_service
- Category: dog grooming
- Local intent: eligible
## Prompt Evidence
| Prompt | Search queue | AI answer | Next move |
| dog groomers near me Fort Lauderdale | Not in top 10 | Not mentioned | Build a crawlable local service page |
| dog grooming prices Fort Lauderdale | Not in top 10 | Competitor cited | Add pricing/contact clarity |
## Prompt-Level Fix Queue
| dog groomers near me Fort Lauderdale | Business missing | Build local service page |
| dog grooming prices Fort Lauderdale | Competitor cited | Add pricing/contact clarity |
## Recommended Site Changes
- Add service page copy, FAQ answers, schema, internal links, sitemap coverage, and llms.txt links.
## Definition Of Done
1. Publish content, schema, sitemap, and llms.txt updates.
2. Rerun VibeSignal, then rerun VibeRank.
3. Compare the saved VibeRank run against the previous baseline.- Agent instructions explain the goal: improve answer visibility without inventing business facts.
- Business profile context explains why the tested prompts were chosen.
- Prompt evidence and search queues show where the business ranked, appeared, disappeared, or lost citations.
- The prompt-level fix queue maps each weak search to a concrete site change.
- The checklist points the agent at pages, schema, internal links, sitemap, llms.txt, proof content, and pricing/contact clarity.
- Verification steps tell the agent to rerun VibeSignal first, then VibeRank, so the business can compare before and after evidence.
Paid access
VibeRank is included with paid VibeLeak subscriptions
VibeRank is a Pro and Agency feature because it runs deeper answer visibility checks, stores prompt and ranked-search evidence, and generates full report exports.
Subscribe today if AI visibility matters to your business
Free scans can show you the public trust and VibeSignal preview. Paid plans unlock VibeRank so you can run the business-aware search prompt scan, inspect the report, export Markdown or PDF, and give your AI agent a real improvement brief.
Subscribe to unlock VibeRankPaid feature stack
- VibeRank scan access
- Business profile and local-intent detection
- Prompt controls for category, location, local intent, custom searches, and competitors
- Prompt-level evidence and ranked search queues
- Citation and competitor gaps
- Saved run history and progress deltas
- Full report modal, branded PDF export, and agent-ready Markdown export
- Before/after rerun workflow
FAQ
Questions about VibeRank
The practical answers for teams deciding whether this belongs in their launch or growth workflow.
Is VibeRank the same as SEO?
No. SEO still matters, but VibeRank is focused on answer visibility: whether AI answer engines mention, cite, and trust the business for the prompts buyers use.
Can VibeRank guarantee that my business ranks first?
No scanner can honestly guarantee that. VibeRank gives evidence and fix guidance so your site becomes easier to understand, cite, and recommend.
Can I customize the prompts?
Yes. Paid users can override the detected category and location, force local prompts for legitimate local-service runs, add custom buyer-style prompts, and include known competitor domains before running VibeRank.
Does VibeRank remember previous runs?
Yes. Signed-in paid users get saved run history for the same domain, plus deltas for score, search visibility, citation share, answer accuracy, and competitor displacement after reruns.
Why does the export mention schema and llms.txt?
Because answer engines need clear public facts. Schema, sitemap coverage, llms.txt, service pages, proof pages, and pricing/contact clarity all make the business easier to read and cite.
Who should use it?
Founders, agencies, local businesses, service providers, ecommerce operators, and developers who want an agent-ready plan for improving how a public site appears in AI answers.
Next action
Run the scanner against your own site
The article lands hardest when it turns into a fix list. Scan, close the gaps, and recheck.
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