Intelligence audits every page of a pharma brand website on the four things AI engines and search need. Can they reach the page, read it, trust it and use it to answer a question? Then it tells your team what to fix first. Brand teams use it as an independent read on the work their agency delivers; in-house teams use it to review their own releases automatically.
Intelligence is a second, independent read on the brand website, for the team that answers for it. It does not replace the people who make the pages.
You brief the agency of record, approve the work and answer for the results. Intelligence shows you, page by page, whether each message survived production intact, where compliance flags sit, how AI engines read the site and how it compares with your competitors. Take the findings into your agency review, and hand the agency page guides it can act on the same day.
If your marketing is made in house, we set up the rules, checks and peer benchmarks with your team. Every release is reviewed automatically against the same framework, your team sees what to fix before medical, legal and regulatory review, and the baselines improve with every audit. It becomes your own automated quality system.
Medical, legal and regulatory reviewers get flags with the rule and the quoted text, never a verdict. Agencies get anchored page edits and a re-score that shows what moved. See every role we help.
You name the brand. Intelligence finds its pages and competitors, scores every page, checks compliance and coverage, compares the results and proposes what to change.
AI assistants don't read a page the way a visitor does. They fetch it, strip the layout, split it into passages and quote the passages that answer a question. The four gates follow that path, in order.
AI crawlers and search can fetch the page. Robots rules allow them, and they receive the same text a person sees.
Headings, tables, lists, images and labels carry meaning a machine can parse without the visual layout.
Claims keep their context, numbers keep their denominators, and review dates, disclosure and references are present.
The page answers the question its heading promises, at the right reading level for its audience.
Every rule names its authority: a WCAG accessibility criterion, a validated health-literacy instrument, published evidence or FDA law. Twenty hard-flag rules cap a page's score, whatever else it earns.
Whether AI search tools can reach the page, whether robots rules separate search access from training access, and whether AI receives the main content a visitor sees.
Tested across more than ten AI crawlers in two lanes: live answers and training.
A clear title, headings in a useful order, tables that explain their rows and columns, meaningful image descriptions, and links and buttons that say where they lead.
Mapped to WCAG success criteria.
Visible, unambiguous review dates; working links, files and images; reachable safety information and patient guides; no leftover draft text or missing job codes.
Benefits name their product, numbers say what was measured, percentages keep their denominator, and a passage quoted alone still reads correctly.
Reading level and understandability for patients or healthcare professionals, scored with published health-literacy instruments.
SMOG, PEMAT-P, the CDC Clear Communication Index and QUEST.
Each heading and button delivers what it promises, footnotes resolve, and instructions are specific enough to act on.
Medical review, disclosure, an adverse-event reporting route, references, and claims paired with their citations. This is the heaviest criterion, at 20 of 100 points.
Rendered accessibility, including contrast, target size, reflow and focus; Core Web Vitals; and whether risk and benefit information get comparable visual prominence.
Every Intelligence finding quotes the text it came from. If a rule cannot reach a verdict from the page, the result is recorded as not measured, never as a pass or a fail.
131 rules in 48 obligations, covering fair balance, brief summary, internet and social promotion, claim types, FTC privacy requirements and accessibility requirements.
We fetch the FDA-approved label for the brand and check page claims against it, including omissions and claims the label doesn't support.
The share of content fields expected for each page category that your pages carry, compared with peer brands. It sits beside the page score, never inside it.
Each flag cites the rule and the page text behind it. Your medical, legal and regulatory team makes the decision.
Search is no longer ten blue links. Patients and physicians ask assistants directly. Intelligence measures what those assistants can take from your website, and what they say when asked about your brand.
Every page goes through ten leading AI models from several providers. You see where they agree, where they disagree and which pages confuse them.
Bots that fetch pages for live answers are reported separately from bots that collect training data, so you can decide what to allow.
We ask AI assistants a set of questions patients and HCPs ask about your condition and brand, then record whether answers mention you, match the label, omit safety warnings or cite your pages.
Track how often your brand appears in AI answers against competitors, and how those answers change over time.
We find your competitors automatically and score their public pages with exactly the same framework.
Dosing pages against dosing pages, savings against savings, disease education against disease education.
Every competitor page goes through the same 44 checks as yours, so the comparison holds rule by rule.
We have captured and scored more than 20,000 pages from life sciences brand websites. Every audit starts from that baseline, so we compare your pages with your peers and propose a better design faster.
Your dosing page is measured against other dosing pages, your savings page against other savings pages, so every score has real context.
We see which page structures score well for each page type and use them to propose your redesign, instead of starting from a blank page.
We learn from every site we scan and every correction we review. Each audit feeds the baselines the next one uses.
A score is only useful if it tells you what to do. Intelligence turns findings into work your content team or agency can pick up the same day.
Hard flags first, then every finding ordered by the points it recovers and the effort it takes, per page and per category.
Page-level guides and drafted rewrites delivered as precise, anchored HTML changes, so your agency knows exactly where each edit goes.
We run the same checks on the updated page and show what moved, rule by rule.
We draw on our library of scored pharma pages to propose page structures that perform well for each page type.
We learn from every site we scan and every correction we review. Reviewed corrections feed straight back into the scoring, so each audit is sharper than the last.
In recent runs a page took about a minute to score, and a 100-page site finished in under an hour. Audits are delivered as a Pharma Page Improvement Review.
Start with 90 days. We audit your brand site and your competitors, deliver the improvement brief, then re-score the pages your team changes so you see what moved.
Pages by category, audience and page type, with crawl completion, scores, coverage and compliance at a glance.
Clinical credibility, patient communication, technical readiness and AI portrayal, each shown with how much of it was measured.
Every rule result with the text that triggered it and the authority behind the rule.
The ranked fix list, page guides and drafted changes, ready for your team, agency and MLR review.
Three situations where Intelligence helps. Each one ends with a better website and a brand team that knows exactly why.
We audit every page and your competitors' pages, then hand you the ten things to take back to the agency, ranked by the points they recover and the effort they take. The agency gets anchored page guides; you get the re-score when the work lands.
Add Veltis to the engagement. We QA every deliverable against the same 44 checks and the US promotional rulebook, identify the mistakes before MLR review, and work with the agency directly to correct them.
We set up the rules, checks and peer benchmarks with your team, so each release is reviewed automatically and compared with the market. It becomes your own quality system, sharper with every audit.
Start with one brand. We capture and score the site, benchmark it and walk your team through the fixes.