Understand what the business is.
RankGen builds a compact factual site profile from public pages, structured data, service language, headings, and location signals.
Retrieval intelligence for answer-driven search
See what gets found.
Before the answer.
Your customers ask questions. Answer systems go looking. RankGen shows the searches, sources, citations, and brand evidence behind that discovery.
Explore your website
Enable JavaScript to run a retrieval observation.
Free to start · One website · Five buyer questions · No synthetic scores · No universal “AI rank”
Inside a retrieval pathOBSERVABLE EVIDENCE
BUYER QUESTION
“Who can help my business appear in AI search results?”
Generated search
AI search optimization consultant
Initial searchSubsequent search
technical AI search consultant for businesses
Follow-up searchRetrieved sources
yourdomain.comindustry-source.comcompetitor.com
Evidence in the answer
Retrieved: YesCited: YesMentioned: Yes
Illustrative workflow only. RankGen never presents sample data as a live result.
Buyer questions
Generated searches
Retrieved sources
Citation evidence
Repeated observations
Run the test above
Your evidence opens in a focused report.
RankGen turns five buyer-question observations into a simple visual summary first, then keeps the generated searches, sources, citations, and final answers available underneath for deeper review.
A clearer view of discovery
Retrieval evidence.
Retrieval evidence.
Not another visibility score.
A single number hides the interesting part. RankGen preserves the path from a buyer question to the searches an answer system generates, the sources it retrieves, and the citations or brand mentions that reach the answer.
Test real discovery questions.
RankGen proposes commercial, local, specialist, and comparison questions. The first run starts automatically. Edit the questions afterward to refine the next observation.
See what the system searched.
When exposed, RankGen records initial and subsequent search wording instead of forcing a traditional keyword query.
See what entered the evidence set.
Retrieved domains, opened pages when available, and explicit citation URLs stay separate so each stage remains understandable.
No guessing when data is missing.
Every field is Yes, No, or Unavailable. Missing evidence is never silently converted into a negative result.
Turn observations into history.
Members can repeat the same buyer questions and location to see which sources, citations, and brand outcomes recur or change.
What a finished report gives you
The result is a set of facts you can investigate.
RankGen avoids a single composite score. Instead, each buyer question keeps its own evidence trail and can be compared with the others.
EXAMPLE REPORT STRUCTURE
No ranking number
Your retrieval observation
RetrievedYesTarget domain appeared in available source evidence.
CitedYesAn explicit citation annotation included the target domain.
Brand mentionedYesThe detected business identity appeared in the final answer.
Who can I hire for AI search optimization?
Generated searchAI search optimization consultant
Subsequent searchtechnical AI search consulting
Retrieved sourcesyourdomain.com · industry-source.com · competitor.com
Why this evidence is useful
Compare the language, evidence, service clarity, and entity signals on repeatedly retrieved sources with the relevant page on your own site.
Observed source inclusion does not prove why a page was selected. Recommendations remain separate from findings.
From evidence to action
Make changes that help machines understand the business, not changes for one black-box score.
RankGen combines retrieval observations with factual site signals so recommendations can stay portable across answer-driven search systems.
Clarify who the business is.
Review organization identity, person/business schema, consistent naming, sameAs references, and visible business descriptions.
Clarify what the business does.
Dedicated service pages, descriptive headings, internal links, and explicit service language make important relationships easier to retrieve.
Clarify where the business serves.
Local discovery questions need accurate city, region, and service-area signals without assuming a location the user never supplied.
Strengthen source-worthy information.
Useful facts, provenance, direct answers, case evidence, and clear page purpose give retrieval systems more concrete material to work with.
Remove retrieval friction.
Indexability, canonicalization, crawlability, rendered content, and structured data remain foundations for both search and answer systems.
Fill genuine topic gaps.
If generated queries repeatedly introduce concepts your site never clearly addresses, that is a content-coverage question worth reviewing.
The member advantage
One observation is interesting.
One observation is interesting.
History is intelligence.
Free membership keeps future observations for one primary website so the same buyer questions can be compared in context.
- Repeated retrieval and citation outcomes
- Repeated source domains across observations
- Saved buyer questions and location context
- Historical exports for deeper analysis
- Clear separation of comparable and non-comparable runs
Comparable historySAME QUESTION · SAME LOCATION
Observation ARetrievedCitedMentioned
Observation BRetrievedNot citedMentioned
Observation CNot retrievedNot citedNot mentioned
The value is the repeated evidence, not an invented trend score.
Built around explicit limits
Useful evidence.
Useful evidence.
Honest boundaries.
RankGen records observations in supported retrieval environments. Results can vary between runs, locations, and systems. An observation is not a universal AI ranking, impression count, or guarantee of future citations.
Evidence actually returned in a retrieval observation.
Something detected directly in the sampled public website.
An interpretation or suggested review kept separate from the raw evidence.
A required signal was not exposed, so RankGen refuses to infer Yes or No.
Common questions
What RankGen does—and what it deliberately does not claim.
Does RankGen give my website an AI score?
No. RankGen reports observed retrieval, citation, mention, source, and query-path evidence.
Does one observation represent every LLM?
No. Each observation belongs to its question, time, location context, and supported retrieval environment.
Can I edit the buyer questions?
Yes. RankGen proposes questions, but you can edit, remove, or add them before the observation runs.
Why can a question turn into several searches?
Answer systems can reformulate a question or issue subsequent searches. RankGen preserves those exposed steps because they are useful evidence.
Start with evidence
Explore your website
See which buyer questions retrieve your business.
Enter your website, review the questions, and inspect the retrieval path.