Case Studies
Proof starts with dogfooding.
Until external customer case studies are published, the most honest place to start is Rhemic’s own site, baseline, and implementation work.
Case study 01: rhemicai.com
On March 31, 2026, Rhemic scanned its own site and found a visibility score of 22, weak topic coverage, zero dedicated FAQ coverage, and no detectable schema footprint in the scan summary. The work in this sprint is the direct response: build the missing pages, deepen the weak money pages, add structured data, and improve the site’s AI legibility end to end.
Visibility Score
22
Critical: nearly invisible to AI
Topic Coverage
33
Poor: missing key commercial topics
Mention Consistency
25
Only one major engine mentioned the brand
Competitive Share
5
Competitors dominated the answer landscape
What changed in response
The site is adding the exact page types the scan identified as missing: FAQ, how-it-works, comparison pages, glossary definitions, case-study content, and intent-specific landing pages for agencies and local businesses.
The sprint also adds structured data, broader sitemap coverage, stronger internal linking, deeper pricing and product context, and a blog cluster aligned to the highest-priority answer-engine queries.
What comes next
The next honest milestone is not a vanity claim. It is a re-scan that shows whether visibility score, mention consistency, and competitive share moved after the implementation shipped.
Run the same style of visibility checkRelated proof and planning
How It Works
See the workflow behind the metrics and implementation steps in the case study.
Learn moreCompare Rhemic
Use the comparison pages to understand where Rhemic fits in a broader SEO software stack.
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Answer the common buyer questions that usually appear before a purchase decision.
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