You got a Visora score — now what? Reading your free GEO scan results
· Visora
You got a Visora score — now what? Reading your free GEO scan results
You entered a URL on geovisora.com/audit, clicked "Free scan," and got a number — maybe 47, maybe 72, maybe 88. What does that score actually mean, and what should you do next?
What the Visora score measures
The score is an AI citation readiness index (0–100). It aggregates five weighted dimensions:
- Schema completeness: Does your page carry Product, Organization, FAQPage, BreadcrumbList, and Offer JSON-LD? Do the IDs resolve across nodes?
- Fact availability: Are price, currency, availability, dimensions, and warranty present in both visible HTML and structured data?
- Entity consistency: Do brand name, product name, and category match across title, H1, description, and JSON-LD fields?
- Trust signals: Does the site display real contact info, a physical address, return policy, and privacy terms? Are reviews tied to Product schema?
- Locale integrity: Are hreflang tags present and reciprocal? Does inLanguage match the page content?
Each dimension is scored separately. Your Visora report shows the composite number plus individual bar charts so you can see where the biggest gap lives.
The top three blockers (most common for cross-border merchants)
Across thousands of scans, three issues account for roughly 70% of low scores:
| Issue | Typical symptom | Impact on AI citation | |-------|----------------|----------------------| | Missing Offer schema | No price/currency/shipping in JSON-LD | AI cannot cite exact pricing — stays generic | | Product type mismatch | Different category in schema vs visible page | Entity confusion — model may skip the page | | No FAQPage schema | Frequently asked questions only in plain HTML | AI misses structured Q&A — ranks competitor with FAQPage instead |
Your free scan surfaces your personal top three. Each comes with a severity label (high / medium / low) and a plain‑language explanation of why it matters for AI retrieval.
How to prioritize fixes
Not all issues are worth fixing simultaneously. Use this triage order:
1. High‑severity Schema gaps — block citations entirely. Fix these first. 2. Entity naming drift — causes inconsistent brand signals across languages. Fix week two. 3. Missing FAQPage — easy win; one JSON-LD block can lift citation depth across multiple user intents. 4. Locale / hreflang issues — only urgent if you actively market in those regions. 5. Trust signal gaps — important but slower to build; add contact and policy pages if absent.
Example: from score 47 to actionable plan
A Shopify electronics store scored 47 on its hero SKU. The free scan showed: - High: No Offer schema — price existed in Liquid template but never appeared in structured data. - High: Organization schema had no logo or sameAs. - Medium: FAQPage was present but used plain HTML list instead of JSON-LD.
The merchant fixed Offer and Organization day one (via Visora Shopify App — one click per field), then converted the HTML FAQ to schema by the third day. Two weeks later the same URL scored 82, and ChatGPT began citing the FAQ block in "best laptop docking stations" queries.
What the score does NOT measure
The Visora score does not measure domain authority, backlink profile, or keyword ranking. A brand‑new store with clean schema can out‑cite an established site with broken data — because AI retrieval systems prioritize answerable facts over reputation signals.
FAQ
*How often should I re-scan?* After any schema or product‑page content change. Otherwise monthly is sufficient.
*Can I have a high score and still not get cited?* Yes — competitive categories and prompt phrasing also affect citation probability. A high score means you are *eligible*; low score predicts *miss*.
*Does the free scan check all pages?* One URL per scan. Unlock the full report for multi‑page analysis or use the Shopify App for batch injection.
*What if I see "pending" on the scan?* Complex pages with many variants or cross‑domain references may take 30–60 seconds. Refresh the page after a minute.
Next step: fix what the scan found
Shopify merchants install the [Visora App](/en/faq) for one‑click Schema injection. WordPress and custom‑site operators unlock the full report at [geovisora.com/audit](/en/audit) for copy‑paste JSON‑LD and step‑by‑step instructions. The difference between a scan result and a citation lift is execution — start with the top blocker today.
Put this into practice
Audit your PDP or category page with Visora, then fix schema and FAQ gaps that block AI citations.
Run a free GEO audit →https://geovisora.com/en/blog/visora-free-scan-what-it-means