1. See what the crawler gets
Check access, rendered content, canonicals, and what disappears when JavaScript does not run.
Find the problem. Fix the right layer. Check again.
Gradial changes what the CMS can safely change and sends template or code work to the team that owns it.
2. Make the answer easy to find
Tighten headings, page structure, claims, and supporting evidence so the page answers a clear question.
3. Check the machine-readable layer
Review metadata and structured data for accuracy and alignment with the visible page.
4. Fix what the CMS supports
Make authorable changes in the CMS. Route rendering, canonical, or code-level work to engineering.
5. Run the same test again
Confirm the approved change made the content extractable. Citation and ranking outcomes are measured separately.
For teams tired of guessing what AI can see
Web operations
Know whether the problem lives in the page, the template, or the delivery layer.
SEO and GEO
Turn a citation gap into a concrete list of pages and fixes.
Martech
Get each fix to the right owner without producing another deck.
Fix the page without bypassing the people who own it
Content stays with editors
Copy, headings, links, and supported metadata move through the normal CMS review.
Code stays with engineering
Rendering, canonical logic, and template-level structured data follow the implementation path your team approves.
Nothing skips review
Actions and decisions are recorded. Recovery options follow the target system’s versioning and release controls.
Work in the CMS. Route code work to engineering.
Gradial connects crawlability work across the CMS, DAM, design, ticketing, workflow, and email systems your teams already use.
AEM Sites & Assets
CMS and DAM
Sitecore
CMS
Bynder
DAM
Figma
Design
Jira
Ticketing
Workfront
Workflow
Wrike
Workflow
Marketo
Email
SFMC
Email
Questions about AI crawlability and content structure
Our pages rank well on Google. Does that mean AI systems can read them?
Strong Google visibility does not confirm that every AI system receives the same critical content. Google and AI answer systems can use different crawlers, rendering behavior, access rules, source preferences, and citation patterns.
What is the difference between a mention and a citation?
A mention means an AI answer names the brand. An owned-domain citation links to the brand's page as a source. The studies measure both because a brand can be widely mentioned while third-party sites receive the citation.
Does remediation require rebuilding the site?
Not always. Heading hierarchy, answer blocks, visible claims, links, and supported metadata can often be improved through CMS authoring. Client-side rendering, canonical logic, or template-level structured data may require engineering work.
Will schema guarantee that answer engines cite us?
No. Accurate structured data can make page meaning more explicit, but it does not guarantee inclusion, attribution, rankings, or citations. Content authority, specificity, access, and model behavior still matter.
Read the research
Higher-education AI search visibility
51 institutions, more than 7,000 data points, and findings on rendering, structured data, mentions, and citations.
Travel and hospitality AI visibility
55 brands, more than 7,700 data points, and findings on crawler access, rendering, canonicals, mentions, and citations.
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