No clear answers
Your buyers ask real questions, but your site does not give a direct, extractable answer that an AI system can confidently use.
Rizeer finds the questions shaping your buyers’ decisions, fixes what blocks AI visibility, creates evidence-backed content, and tracks whether ChatGPT, Google AI and Perplexity actually mention your brand.
Visibility breaks when the crucial answer, the proof behind it, or the learning loop is missing. Rizeer shows which one is holding your brand back — and what to do next.
Your buyers ask real questions, but your site does not give a direct, extractable answer that an AI system can confidently use.
Your claims lack the cases, facts, comparisons, reviews or third-party sources that make a recommendation defensible.
Nobody checks what AI says about you, which pages it cites, or where competitors are winning the answer.
Rizeer turns onboarding into a working report: it verifies technical access, brand facts, key pages, proof, competitors and the starting AI picture. When a blocker is real, automatic publishing waits for the fix.
The report adapts to local businesses, ecommerce, SaaS and national brands — while keeping the same rule: first establish what is true and accessible, then automate the right next action.
It starts with a focused, repeatable prompt set — then records whether your brand is mentioned, cited or recommended, alongside the pages and competitors shaping the answer.
AI Ready checks whether your site can be read and trusted. AI Visibility checks what answer engines actually say today — so each score has a clear next action.
Rizeer does not jump from a weak answer to “write a blog post”. It first identifies the missing fact, proof, comparison, page or internal connection — then prepares the smallest credible fix.
Map buyer prompts, query fan-out, competitor claims and cited sources to an explicit opportunity — not a vague keyword.
Define the required facts, case material, comparison criteria, source gaps, schema and internal links. Ask the customer for inputs where evidence is missing.
Produce a homepage edit, answer block, fact page, comparison, brief or refresh task with an owner, reviewer and measurement trigger.
One continuous system, not a feature catalogue. Every stage creates the context the next one needs — and every publish is measured against the original buyer question.
Check readiness, run buyer prompts and capture current citations, mentions and recommended competitors.
ACCESS · ANSWERS · SOURCESPrioritise the questions, claims and missing proof that can change a real recommendation.
PROMPTS · GAPS · PRIORITYTurn the gap into a fact page, answer block, comparison, case study or article brief — with proof attached.
BRIEF · PROOF · LINKSReview sensitive claims, then publish to WordPress, Shopify or Webflow with the CMS context intact.
REVIEW · CMS · LIVERe-test prompts, watch cited pages and source changes, and create the next highest-value action.
MENTIONS · CITATIONS · REFRESHRizeer removes repetitive execution, not judgement. The system can collect, analyse and prepare work continuously — while your team stays in control of brand, claims, Reddit participation and publication.
Prompt movement, competitor changes, source gaps, content gaps and relevant conversations.
Buyer question, required proof, comparison context, source requirements and suggested links.
Keep legal, product, expert and public-conversation decisions with the right people.
Review once, then publish cleanly into your existing CMS workflow.
See the buyer questions, the sources shaping the answers, your readiness blockers and the smallest next change that can improve visibility.
What AI says today, what changed, and the next concrete action.
| Keyword | Position | Change | Search intent | Ranking URL |
|---|
Five buyer questions, tested across answer engines and translated into the next practical action.
The production workflow keeps engines separate: mention, citation and recommendation are not merged into one opaque score.
Resolve the inputs that determine whether the visibility and growth system can perform.
Evidence-backed homepage, fact-page and content changes created from the baseline — ready for a customer owner to review.
Connect the brand to its audience, outcome and evidence before an AI needs to infer it.
Turn scattered product claims into a direct answer page with limits, methodology and concrete proof.
Prepare a comparison page from the cited competitor criteria, then connect it to product, pricing and proof pages.
Relevant live discussions are turned into an approval-ready response — never posted automatically.
Why it matters: direct buyer question; the thread is already asking for sources and examples.
Commenter identity: product expert · Account: not connected
Why it matters: perfect opportunity to explain the difference between generic output and evidence-backed answer pages.
Commenter identity: marketing lead · Account: approval required
Why it matters: reveals proof requirements for future fact pages and comparisons.
Commenter identity: subject-matter expert · Account: pending connection
Follow every position that supports the buyer question and page plan.
| Keyword | Position | Change | Intent | Ranking URL |
|---|
Every planned page has a role in the path from question to measurable visibility.
Background work that keeps the AI visibility system learning.
Re-check the prompt set, citations, competitors and source changes every Monday.
ACTIVE · MON 09:00Approved gaps receive a brief, source research, proof checklist and internal-link plan.
ACTIVE · ON APPROVALSurface relevant discussions and source changes for a human to review before any response.
REVIEW MODE
Start by mapping the exact questions buyers ask, then give each answer a clear source page with evidence, limits and relevant internal links. Track whether the answer is mentioned, cited or recommended over time.