Technical observations
Inspect raw HTML, canonical declarations, page directives, robots preferences and one sitemap candidate. Actual indexing and bot access remain separate checks.
RF
RankFortuneFree AI visibility checker for SaaS and indie tools
See the evidence behind your website’s AI search readiness.
Inspect one public page, its HTML and crawler preferences. Separate observed issues from missing evidence. Actual AI mentions, citations and business outcomes are not measured by this scan.
Free scan · No signup · First snapshot in about 60 seconds
Want to see the output first? View an example audit report
1 URL
defined scan scope
4
evidence tracks
No score
no invented certainty
Versioned
repeatable checks
Every finding includes its scope and rule version. Unknown access, indexing, factual support and AI visibility remain unknown. Fixes require observed evidence and a verification step.
Free audit
Run a RankFortune scan
Ready
CrawlHTML
CheckRules
ReportJSON
Free scan runs immediately. An email is optional for the paid report workflow. Usage measurement excludes your URL, inputs, session, and report contents. Privacy details.
Illustrative layout — not a live audit
sample-saas.example · placeholder data
Evidence-based readiness review
Samplenot a score
Technical observations
PartialPublic HTML inspected. Real crawler access and indexing still need evidence.
Content evidence
PartialCandidate content found; factual support requires source review.
Actual AI visibility
Not measuredNo target AI answers queried; no citation or traffic claim.
Sample gaps
P1
Repair malformed JSON-LD
Illustrative issue: fix a syntax error in an existing applicable block; do not add arbitrary schema types.
P1
Review a scoped search restriction
Illustrative issue: confirm the named bot and URL should be public before changing a rule. Keep training preferences unchanged.
Metadata review example
Preview- Suggested title
- Sample SaaS - AI workflow automation for small teams
- Suggested FAQ
- What does Sample SaaS do, who is it for, and how is it different from alternatives?
Prompt research examples
Not measuredChatGPT candidateNot queried
Best AI workflow automation tools for small teams
Example only: validate this prompt separately before treating it as evidence.
Perplexity candidateNot queried
Sample SaaS alternatives for founders
Example only: no competitor citation result has been measured here.
Gemini candidateNot queried
Is Sample SaaS good for secure team workflows?
Example only: use this as a research prompt, not a visibility claim.
Methodology
Built around audit, evidence, and execution.
Keep technical observations, content evidence, actual AI visibility and business outcomes separate. The free scan measures only a limited part of this framework; the remaining checks are explicitly unresolved.
Content and claim evidence
Extract metadata and content candidates. Task completeness, factual claims, expertise and sources require independent review.
Actual AI visibility
The free scan marks this not measured. Target-product queries and visible source records are required before reporting mentions or citations.
Business outcomes
The free scan marks this not measured. Attributable referrals and conversions need first-party data, not a readiness score.
Workflow
Evidence you can inspect.
Inspect scoped findings, choose justified changes and retest the same final URL with the same rules. Competitor experiments, prompt monitoring and attribution need separate evidence collection.
01
Scan
Read one public URL and scoped supporting files.
02
Inspect
Separate observations, issues and unknown evidence.
03
Act
Choose justified changes; preserve intentional exclusions and training preferences.
04
Retest
Compare the same final URL and rule version. Changed checks do not prove citation or traffic gains.
Compare tools
Not every AI visibility tool solves the same problem.
Some products are built for a first audit. Others are built for continuous monitoring and wider authority workflows. Use the comparison guide to choose the right next step for your team.
Page diagnostics
Useful for scoped HTTP and HTML observations.
Answer observations
Useful for actual mentions and visible citations under recorded conditions.
First-party analytics
Useful for attributable visits and business events.
Tool category
What competitors emphasize
Where teams get stuck
RankFortune angle
Public-page scan
One URL and supporting files.
Cannot establish real indexing or AI citations.
RankFortune records sources, states and limits for each finding.
Target AI observations
Actual answers and displayed source URLs.
Not collected by this free scan.
Collect separately; a model-generated narrative is not this evidence.
Business measurement
Attributable referrals and defined conversion events.
Requires first-party data and comparable windows.
Do not infer business impact from a changed metadata check.
AI search pages
Start with the audit page that matches the buyer question.
These focused pages cover the main search intents around AI visibility, answer engine optimization, GEO, and model-specific readiness checks.
AI Visibility Audit for Websites
Review search readiness with inspectable evidence.
A one-URL diagnostic for founders and agencies, with technical observations kept separate from actual AI visibility.
AI Search Visibility Checker
Inspect AI-search preparation, not an invented visibility score.
Check the HTML, canonical and crawler rules one URL exposes before choosing an engine-specific change.
ChatGPT Visibility Checker
Review public-page readiness for ChatGPT Search.
Check the robots.txt rules and page directives affecting OAI-SearchBot, GPTBot and ChatGPT-User for one URL; ChatGPT itself is not queried.
Perplexity Visibility Checker
Inspect Perplexity search-rule evidence for one URL.
Check the PerplexityBot and Perplexity-User robots preferences for one URL. Live Perplexity answers and rankings are not read.
Reddit and Community Evidence Review
Plan an honest community-source review.
Check the page, metadata and crawler rules for one URL before reviewing community sources. This scan does not search Reddit or count community mentions.
AI Agent Observability Website Review
Review the public evidence for your agent-observability product.
Use the scan for public HTML observations; review traces, integrations and outcome claims separately.
LLM Visibility Audit
Separate model knowledge from search evidence.
Check the public HTML and crawler rules for one URL. What a language model knows about your brand is not measured.
AI Overviews Visibility Checker
Review Google AI search prerequisites and unknowns.
Check the Googlebot rule, indexing directives and canonical for one URL; Search Console settings and AI Overviews coverage stay unknown.
GEO Audit Tool
Turn SEO + GEO evidence into scoped actions.
A versioned one-URL diagnostic for technical observations and content evidence. Actual AI answers and business outcomes are marked not measured.
Visibility preview
Separate observations from research questions.
RankFortune records public-page evidence and unresolved checks. Actual AI answers, competitor comparisons and business outcomes require separate observations. Read the methodology before interpreting a report.
Query research
Candidate questions for a future test, not measured citation gaps.
Claim evidence
Review whether the stated source supports the exact product claim.
Competitor context
Domains are recorded only; the free scan does not crawl or compare them.
Measurement plan
Record target product, market, query, date and visible sources before making comparisons.
Pricing path
Start free, upgrade for the full report.
Start with a free scan, then upgrade for the full evidence report and export. Monitor is planned and not open for new subscriptions.
Free Snapshot
$0
One-URL evidence review, not a citation measurement.
- ✓ No login for first scan
- ✓ Versioned observations
- ✓ Search and training separated
Full Report
$19
The captured evidence in an emailed report.
- ✓ HTML and Markdown report
- ✓ Scoped issues and limitations
- ✓ Verification checklist
Monitor
$39/mo
Planned service. New subscriptions are not open; scheduled monitoring is not currently delivered.
- ✓ Planned: scheduled observations
- ✓ Planned: comparable history
- ✓ No live citation tracking promised
FAQ
Answer the questions AI engines and buyers both ask.
Direct answers about what RankFortune checks, who it is for, and what you get from the free scan and the full report.
What does the free scan actually check?
It reads one public URL, robots.txt and one sitemap candidate. It reports raw-HTML metadata, JSON-LD, links and named crawler preferences, with scoped evidence and unknown states.
Does this measure real AI citations?
No. The free scan does not query AI answers, crawl competitors or connect analytics. Actual mentions, citations and business outcomes require separate observations.
What do I receive?
Four separate evidence tracks, observed issues, unresolved checks, sources and verification steps. There is no combined GEO score or automatic requirement to publish FAQ, comparison or pricing pages.
Should I allow training crawlers to improve search?
Search, training and user-triggered access are separate purposes. RankFortune does not penalize training opt-outs or change your robots rules.
Do I have to finish an audit before measuring citations?
No. Technical diagnostics and actual AI observations can be collected independently. Keep their scope, dates and meanings separate.
Buyer fit
Built for people who need an answer this week.
Get a fast, credible audit that shows what to fix before you invest in heavier AI visibility monitoring.
Indie SaaS
Understand public-page observations and the evidence still needed.
SEO teams
Review engine-specific rules without confusing training and search.
Agencies
Deliver scoped findings, limitations and verifiable implementation steps.
Full report
Know exactly what the full report includes.
The free scan gives you the first diagnosis. The full report turns that diagnosis into exportable recommendations and a fix plan.
What the $19 report includes
- Four independent evidence tracks, without a combined GEO score
- Scope, timestamps and sources for the scan
- Observed issues and unresolved checks kept separate
- Verification steps for justified changes
- Observed metadata to review, not invented publish-ready claims