The opportunity · where buyers are asking
Opportunities for Novellia to appear in AI answers.
These are gaps in the AI answer. The answers we captured are carried mostly by government pages, journals, hospital help pages and social posts, and three of them name no provider at all. The part a buyer needs next, pulling records from every provider into one place, or finding the patient-level evidence behind a registry or a payer dossier, has no good outside source behind it yet. Each topic is narrow enough for one article to become a source the AI answer can use. There are three ways in: the condition (cancer and rare disease), the connection (several patient portals, VA and civilian records) and the outcome buyers type (all records in one place, a custom registry, evidence for a payer dossier), in one market, US English.
High-level summary
01 · The patient sidePatients ask how to pull their records together and get portals and forms · government pages, hospital portals, university help pages and an AARP post answer these searches. They explain linking accounts inside one portal and writing to each provider, and give the apps a line or two each
02 · The life-science sideEvidence teams ask where the data comes from and get a method · journals, NIH papers and technology websites answer the registry, payer-dossier and rare-disease searches. They explain what good real-world evidence looks like, and rarely name where it comes from
03 · MarketCaptured in US English · the United States is the one market, because Novellia connects to US health systems and works in English. All nine searches captured live on Google, AI Overview and AI Mode, on 12 October 2026. Every search on this page can be retyped
Topic specifics
NovelliaPersonal health records & patient-consented real-world data · Life-science evidence teams · four searches, the most open first
Custom patient registry with EHR dataUS
Answered as a build-it-yourself job, from three technology websites · it walks through FHIR feeds, HL7 messages and batch extraction into a research database, all of it work for a team’s own engineers, and offers no route that starts with the patient
Real-world evidence for a payer value dossierUS
Journals, NIH papers and a LinkedIn post carry it, and no data source is named · the answer lists what payers look for, from utilisation and persistence to safety in patients with several conditions, and none of its sources supplies that data
Rare disease real-world dataUS
An academic answer, carried by EURORDIS, Wiley and Taylor & Francis · it explains why small populations need registries, health records and claims, and names no data provider in its text
Breast cancer real-world dataUS
Strong academic sources, with one data company named only as an example · it sets out where breast cancer data comes from, then asks the reader which part they need, from metastatic outcomes to gaps in care
NovelliaPatients bringing their records together · five searches, the most open first
Organize medical records with a rare diseaseUS
Patient groups, Instagram, Facebook and a home-health site carry it · most of the answer is binder and folder advice, from tabbed dividers to cloud drives, and one line covers a service that gathers the records for you
Combine VA and civilian medical recordsUS
VA.gov and a veterans’ Facebook group carry the answer · it explains how the VA shares records with outside doctors and how to opt out. One line mentions seeing both in a single app, and no outside source explains how that works
How to get all my medical records in one placeUS
Government pages, a hospital portal and an AARP post carry most of it · it tells patients they have a legal right to their records, then gives three routes, an app, linking accounts inside one portal or a written request to each provider, each in a few lines and none as a walk-through
Combine records from multiple patient portalsUS
A hospital portal, a university help page and an AARP post carry it, with several apps named · it starts with linking accounts inside one portal, which only works where every doctor is on the same system, and gives each app a single bullet
Medical records app for cancer patientsUS
A crowded answer, five apps named on a hospital page, app-store listings and a government site · it starts with the hospital portal, then sorts the apps into record trackers and symptom diaries, each in a short paragraph
Why a third-party source
Across 25M+ analysed links, 84% of AI citations go to third-party sources; brands' own domains compete for just 13.7%. The answers on this page are short of third-party sources on the question the buyer is actually asking. A page on cllimber.com is that kind of source, and it is the kind these answers are short of.
Muck Rack, "What is AI Reading?" · 25M+ links analysed across ChatGPT, Claude & Gemini, 17 industries · May 2026
cllimber.com / 10 industry hubs / built for Perplexity · ChatGPT · Copilot · Gemini · Claude · Grok
The proposal · choose your coverage
Pricing and coverage options.
Articles on cllimber.com, one per search, each built to be a source an AI answer can use. Every article states facts with a source and a date.
Opportunities to appear in AI answers
Tailored article · $499 each · one per search · each announced with a LinkedIn post to 11,000 connections
NovelliaPersonal health records & patient-consented real-world data · 9 searches
Life-science evidence teams
- Custom patient registry with EHR data US · how Novellia Precision enrols consented patients from a sponsor’s own study or from the Novellia platform, each with 15+ years of linked medical records, how live ePROs and prospective follow-up are added, and what IRB-ready means for the set-up
- Real-world evidence for a payer value dossier US · what persistence, utilisation and tolerability data a HEOR team can draw from patient-authorised records, how outcomes are split by comorbidity burden, and how that feeds cost-effectiveness models and formulary submissions
- Rare disease real-world data US · how a custom cohort is built when standard datasets are too small for a rare condition, how unstructured clinical notes are structured, and how patient-reported symptoms fill in what the records miss
- Breast cancer real-world data US · what a longitudinal, patient-authorised record holds for breast cancer research, from treatment sequencing to side effects and guideline-concordant care, and where that research has been presented
Patients bringing their records together
- Organize medical records with a rare disease US · how a patient pulls records from every connected health system into one free account, uploads paper records for Novellia to digitise, and logs symptoms alongside them before seeing a new specialist
- Combine VA and civilian medical records US · how a veteran connects VA Health and civilian health systems to one Novellia account, what comes through from each, and what happens when a connection expires
- How to get all my medical records in one place US · how Novellia connects to US health systems through SMART on FHIR, what to do when a provider has no patient portal, and why the tool is free for patients
- Combine records from multiple patient portals US · how one account pulls from several portals, how duplicate or wrong records are hidden or edited, and how long each connection lasts
- Medical records app for cancer patients US · how records from every treating hospital sit next to logged symptoms and side effects with their severity, how medication reminders work, and how appointment guides help a patient prepare questions
Technical build
Every piece is structured for citation and search clarity: Q&A formatting, answer-first sections, schema markup and page-language signals.
Featured hub slot · $799 per hub, per year
Hub slots are sold by industry hub. We scored all ten of Cllimber’s hubs against Novellia’s patients and its life-science buyers, and none of them qualifies, so none is offered.
Tailored article
$499 / article
- One article per search, for the nine searches on this page
- Published on cllimber.com, structured for AI extraction: Q&A formatting, answer-first sections, schema markup
- LinkedIn post to 11,000 connections announcing each article
Bundles
$1,350 / 3 articles
- 3 articles for $1,350
- 5 articles for $2,200
- 10 articles for $4,000
- Any mix of the searches on this page, each with its LinkedIn post
Monthly updates
$150 / article / mo
- Pricing, features and dates re-checked every month, and indexing requested again
- Keeps each article current as engines refresh their sources
- Optional · minimum 3 months · includes the day-90 citation report: the baseline screenshots and the day-90 screenshots side by side, showing where you appear and where work remains
Already happening
This isn't a theory. Engines already cite Cllimber.
7 days
from article publish to Google AI citation · Diopter AI, July 2026
4 engines
have cited cllimber.com in live buyer answers
Live answers
the answer itself, not tracking-tool estimates
Perplexity lists Cllimber as the #1 source behind a software recommendation.
Copilot cites cllimber.com in its References panel, beside G2, and inline in its advice.
Google's AI Overviews quote Cllimber articles in answers to live buyer questions · including in German.
Grok credits Cllimber as the source behind its recommendation.
No one can guarantee a specific AI answer will cite you, and anyone who promises that is selling something they don't control. What we control is the page: structured, sourced and kept current. The results above are the track record.
Each article is published once and kept current while updates run.
Cllimber × Novellia · Oct 2026