VANTARE

Sample report

See what a Vantare report contains

These are excerpts from a real, automated Vantare report, in the order the report presents them: what the business can prove, the opportunities worth pursuing, the AI-visibility read, and the pages written in response.

About this example

Business
Integral Healthcare Solutions (integralhs.com). The founder's own consulting firm — an owner-controlled example.
Produced
Automated Vantare report, published as the vantare.io sample in August 2026. The exact generation date and tier were not recorded with the file.
Method
The report was built from a crawl of the firm's public website and public web sources. It did not ask ChatGPT, Perplexity or Google's AI what they say about the firm.
Sector
Accreditation consulting for health care organizations. Shown as an example of the method; eligibility for a purchase is decided at checkout.
Edits
Excerpts are verbatim. […] marks omitted text. Third-party names of team members were left out. Nothing was corrected or rewritten.

How to use this sample

  1. Read the report excerpts and ask whether the reasoning is specific enough to act on.
  2. Read the drafted pages and judge the writing as your customers would.
  3. Read the review notes. Every report needs the owner's check before anything is published.
  4. Compare the two options and the current terms on the pricing section. Scope, timing and eligibility are listed there.

The excerpts

  1. Report · Scope of this assessment

    We mapped your full site — 737 pages — and read 67 of them closely, chosen for signal.

    This report includes 24 drafted pages, each written for one buyer question.

    What this shows: Every report opens by stating what it actually read. The counts depend on the site and on what the research finds; they are not a promised number.

  2. Report · 1. Executive Brief

    IHS's headline finding is not that it needs a niche — it already operates across more than 20 accrediting-body programs and four practice lines, a breadth few single-body accreditation shops attempt. The problem is that its single strongest, most defensible credential — that founder Thomas G. Goddard served as URAC's former COO and General Counsel and sat on URAC accreditation review teams for more than 200 HMOs, PPOs, and health websites — lives almost entirely in self-published bios, LinkedIn, and directory listings rather than in earned trade-press coverage. The site is the mechanism; it is not yet matched by outside citation.

    What this shows: The strategic assessment starts from what the business can already prove, and names where that proof is weak.

  3. Report · 3. Beachhead Opportunity Map — winnability matrix (three of six rows)

    • Dual URAC/NCQA strategy advisory — Buyer demand: High […] · How crowded: Moderate […] · Skill transfer: Very high — Goddard's exact background · Verdict: Lead beachhead — subtle amplitude, highest fit
    • URAC AI Accreditation readiness — Buyer demand: Emerging but real […] · How crowded: Low — category is new, few named specialists · Skill transfer: High — standards-development background transfers directly · Verdict: Second beachhead — moderate amplitude, early-mover value
    • 340B contract pharmacy audits — Buyer demand: Moderate, well-documented need · How crowded: Very high […] · Skill transfer: Moderate — IHS has a published guide but no visible audit-specific differentiation · Verdict: Deprioritize as a lead offer

    What this shows: Opportunities are weighed on demand, competition and fit, and the report says which ones not to pursue.

    Edit label: Table cells are shown as labeled lines. Named competitors and supporting figures were omitted ([…]). The other three rows are not shown.

  4. Report · 4. Competitive Gap Analysis

    "What does URAC's Health Care AI Accreditation require?" — currently answered mainly by URAC's own accreditation pages and press coverage […]. No accreditation-consulting firm has visibly claimed this advisory answer-slot yet — a genuinely open, winnable position.

    What this shows: Buyer questions are checked against who publicly answers them today, using public web sources.

    Edit label: Publication names were omitted ([…]).

  5. Report · 5. Repositioning Recommendation — before / after homepage hero

    Before (inferred current framing): a service-catalog-first hero emphasizing breadth across accrediting bodies and "no junior associates," per the site's consistent principal-led messaging.

    After: "Founded by URAC's former COO and General Counsel. Staffed by the people who wrote the standards you're being measured against. Twenty-plus accrediting bodies. One team, no junior associates."

    What this shows: The report labels its own inference ("inferred current framing"). The owner decides whether the "after" version is accurate enough to publish.

  6. Report · AI visibility — where you stand today

    This section is a read of what stands between you and being quotable, built from your own site and from public search results — not from putting those questions to the engines about you: whether your site presents you as one distinct entity an engine could resolve without guessing, whether your pages answer a buyer's question in the extractable form these engines lift, and who is publicly answering those questions today.

    What this shows: This is the Lighthouse assessment. It states its method plainly: it reads the site and public sources. It is not a measurement of what any AI service currently says.

    Edit label: The opening sentence of the section was omitted.

  7. Drafted page · Drafted page — homepage rewrite, section "Who is actually doing the work?"

    Every engagement at IHS is led by Thomas G. Goddard, the firm's founder, who was previously URAC's Chief Operating Officer and General Counsel. Goddard sat on URAC accreditation review teams for more than 200 HMOs, PPOs, and health websites, and served as project manager on URAC's successful effort to obtain deemed status as an accreditation organization from CMS — the kind of regulatory recognition that determines whether an accreditor's seal carries weight with government payers in the first place. IHS built its consulting model around that seat: someone who has made accreditation decisions, not just studied them, running your engagement from intake to survey day.

    What this shows: The written page turns the credential into a direct answer to a question buyers ask.

    Edit label: Only the first paragraph of this section is shown; the second names other team members.

  8. Drafted page · Drafted page — new page on URAC AI accreditation (opening)

    URAC's AI accreditation splits your obligations by role — developer requirements and user requirements are not the same standards, and knowing which set applies to you determines your entire readiness path.

    URAC's Artificial Intelligence in Healthcare program is built around two distinct tracks: Developer and User. […] Many organizations are actually both, which means both standard sets apply and the readiness work roughly doubles.

    What this shows: A new page for the opportunity identified in the gap analysis, written answer-first.

    Edit label: Middle of the paragraph omitted ([…]). The report sourced its statements about the program to trade press; the owner must confirm them before publishing.

What the owner would still check

  • Absolute claims such as "no junior associates, ever" and a statement that the firm is "the only" holder of a certification appear in the drafted pages. The owner confirms or softens claims like these before anything goes live.
  • One drafted page names the firm "Integral Health Solutions" instead of "Integral Healthcare Solutions." A read-through catches errors like this; it is part of the owner's review.
  • Statements about an accreditor's requirements are drafted from the sources the report found. They need checking against the accreditor's own documents before publication.

Not shown here

  • The full set of drafted pages (the report stated 24 for this site)
  • The skills and asset inventory and the full opportunity catalog
  • The list of sources consulted
  • The deployment checklist and the per-page structured-data (JSON-LD) appendix for a web developer

A report's length is not a measure of its value, and the page count varies by business. A long PDF is mostly drafted page copy and structured data for a developer.

Next step

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