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About

Who Broadcastwell is

Broadcastwell is a research led AI search visibility practice for vertical B2B software, registered in Indiana. We measure the gap, build the evidence AI systems can use, and report the result, good or bad.

Positioning

Why a buyer chooses Broadcastwell

See who the engines name, the cited evidence, and what to investigate next.

Broadcastwell measures which software vendors AI engines name in a category, who is named instead of you, and the sources visible in those answers. The Category Audit uses ten buyer questions, five engines and three scheduled runs each: 150 planned observations, each with a receipt. Each finding links its supporting evidence and states a supported next action or remaining uncertainty. Mentions, recommendations, recommendation position and citations are reported separately. The method and research are published openly.

Accountability

Accountability for the work.

The published method, source records and observed answers make the work inspectable. Questions about an engagement go to hello@broadcastwell.com.

Listed on GEO Agencies

The work

What the work involves.

  • Buyer questionsCategory language, buyer questions and the findings walkthrough.
  • Measurement recordsThe measurement runs, the receipts and the scoring.
  • Evidence reviewEvidence, structured data and third party source work.

Delivery lead: Priya Nair, Management Consultant.

Bring the client and stay their relationship contact while our team delivers. Explore the Strategic Partner track.

The team answers questions about AI search visibility in the open on Broadcastwell Exchange.

How the work is done

What you are buying, and who does it.

Category language a buyer would typePublic evidence an engine can readIndependent third party validationObserved answers, scored and dated

Four stacked bars. The lowest is the category language a buyer would type. Above it sit public evidence an engine can read, independent third party validation, and the scored observed answers that measure the result.

  1. Category language a buyer would type
  2. Public evidence an engine can read
  3. Independent third party validation
  4. Observed answers, scored and dated
Each layer rests on the one below it. The top layer is the part that gets measured.

The Category Audit, the Fix Sprint, the program and agency wholesale are described on pricing, with the method itself on methodology. The 90 day proof gate and the refund terms are stated on pricing and in terms.

See a sample report

Published research

Research, method and limitations.

  1. 24 July 2026The 2026 State of GEO10.5281/zenodo.21537014
  2. 25 July 2026The Absence Ladder10.5281/zenodo.21586091
  3. 4 August 2026Engine divergence10.5281/zenodo.21789120

Start with the observed position.

The $490 Category Audit measures one category: ten buyer questions, five engines, three measured runs, with findings within 48 hours of the category being confirmed.

Get the Category Audit, $490

Findings within 48 hours of your category confirmation. Refundable in full within 30 days of delivery. The $490 credits once against the $2,900 Fix Sprint within 30 days of delivery, so the Sprint is $2,410.

Every figure comes from the published method, v1.1.

Free 10 question check (one engine)

The monthly letter of the Absence Index

The Absence Report

Who AI engines name, what the evidence shows and what it means for B2B software teams.

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Free. Monthly. Unsubscribe any time. Record Watch is a separate subscription.