- Overall and category-level scores
- Trend and reporting-period context
- Prioritized findings and recommended action
Discoverability Score
Measure How Clearly Search and AI Systems Understand Your Brand
Domain Authority told you how many links you had. It never told you whether ChatGPT could parse your product page. The Discoverability Score does - a single 0 to 100 number built from the signals that decide whether AI engines can crawl, understand, and eventually cite what you publish.
Strong - Top Quartile
3 quick fixes available to push this past 90 this month
Discoverability Workspace
Translate technical and entity evidence into a score clients can act on
The module consolidates readiness, technical health, content structure and entity signals into reviewed measurements with clear priorities and source context.
Client portal · reviewed view
- Run approved technical collectors
- Review schema and entity evidence
- Override or annotate measurements when required
Measurement note: Platform values reflect the stated reporting period, source availability and verification status. Search engines, analytics tools and AI systems can refresh, personalize or revise their outputs, so observed values may differ from a later independent check. Estimated and analyst-modeled values are labelled and should be used as decision support rather than as guaranteed rankings, citations, traffic or revenue.
4 categories
Schema, entity clarity, crawl health, and content freshness, weighted
0 – 100 scale
One number, recalculated daily as your site and AI engines change
Per-fix impact
Every recommended fix shows roughly how many points it's worth
No black box
Every input to the score is documented, not a hidden formula
What Goes Into It
Four Categories.
One Weighted Number.
One Weighted Number.
Schema & Structured DataWeighted 30% of total score
95 / 100
Whether your pages carry Product, Article, FAQ, and Organization markup that an AI crawler can parse without guessing what a piece of content actually is.
Entity ClarityWeighted 25% of total score
85 / 100
Whether your brand, products, and authors are defined clearly enough for an AI model to connect them to the same entity every time, instead of treating each mention as a fresh unknown.
Crawl HealthWeighted 25% of total score
65 / 100
How consistently crawlers can actually reach and load your pages - response times, broken internal links, and pages that quietly return soft 404s without anyone noticing.
Content FreshnessWeighted 20% of total score
90 / 100
How recently your highest-traffic pages have actually been reviewed or updated, since AI engines weight recency heavily when two sources otherwise look equally credible.
How To Read It
Where 84 Actually Sits
0255075100
0–49 At Risk
50–74 Developing
75–89 Strong
90–100 AI-Ready
Most sites we onboard land somewhere in the 50s - not because they're poorly built, but because nobody had measured this specific combination of signals before. A score in the Strong band means AI engines can reliably reach and parse your content; it doesn't yet mean they're citing you consistently, which is closer to what the high 80s and 90s represent.
Common Problems
What Usually Drags
A Score Down
A Score Down
Missing or incomplete schema markup
Product, Article, and Organization types left out, or filled in inconsistently across templates built at different times.
Orphan pages with no internal links
Pages that exist on the site but that nothing else links to, making them genuinely hard for any crawler to find.
Slow or inconsistent crawl response
Pages that load fine for a visitor but time out or error for a crawler under normal load, often without anyone on the team noticing.
No clear entity definition
The brand, products, or authors aren't tied together consistently enough for an AI model to treat every mention as the same known entity.
Content nobody's touched in 18+ months
Pages that were accurate when published but have quietly gone stale, with no signal anywhere that a human reviewed them recently.
Ranked By Impact
Not Just A Score. A Short List Of What To Fix First.
A score by itself just tells you how you're doing. The platform goes one step further and ranks the handful of fixes that would move the number the most, with a rough point estimate for each one - so the next thing your team works on isn't a guess.
1
Add Product schema to 340 pagesMissing on most category-level product listings
Est. +6 pts
2
Fix 12 pages returning soft 404sFlagged during this week's crawl health check
Est. +4 pts
3
Refresh 28 articles older than 18 monthsHigh-traffic pages with no recent review
Est. +3 pts
4
Add FAQ schema to top 50 landing pagesCurrently plain text with no markup
Est. +2 pts
Common Questions
About The Score,
Specifically
Specifically
Domain Authority estimates how likely you are to rank, based mostly on backlinks. The Discoverability Score measures something different: whether AI engines can actually crawl, parse, and cite your content, regardless of how many links point at it.
It's a weighted average of four categories: schema and structured data coverage, entity clarity, crawl health, and content freshness. Each is scored on its own, then combined with fixed weights into the single 0-100 number you see.
Daily. Crawl health and schema coverage are checked every day, while entity clarity and content freshness recalculate weekly since those signals move more slowly.
Yes. Content freshness decays on its own over time, and crawl health can dip if your CMS, CDN, or hosting introduces new errors that have nothing to do with content you've personally edited.
Mathematically yes, practically rare. Most sites we work with plateau in the low-to-mid 90s, since content freshness alone makes a permanent 100 difficult to sustain across a large site.
Find Out Where You Stand
Get Your Actual Score,
Not An Estimate
Not An Estimate
Connect your domain and we'll calculate your real Discoverability Score on the call, along with the three fixes most likely to move it this month.
Check Your Score
Practical guidance
Using a Discoverability Score Responsibly
A composite score helps compare signal groups and monitor change. Always inspect the underlying technical, entity, content, and authority evidence before prioritizing work.
What should teams review?
Review source coverage, data freshness, collection method, anomalies, and the business decision each metric is expected to support.
What is the recommended next step?
Start with a defined visibility question and connect only the data required to answer it. Add monitoring after the baseline and ownership are clear.
Driving Digital Growth with Innovation & Strategy
Search Visibility Engineering for the AI era. We help businesses become discoverable across every platform where modern buyers search.
Trusted by 100+ Brands Worldwide
© 2026 NexaVision. All Rights Reserved.