The yardstick for AI in media and AdTech - calibrated for your sub-segment and your stack.

How we test, score, and publish

Yardstick Research is an independent software research and consulting agency for B2B AI tools. We test the tools ourselves, score them on outcomes that matter, and publish the results. Methodology in plain sight, so any board or operating committee can check our work. For broadcasters, streamers, digital publishers, local-media groups, studios, podcast and audio publishers, and agency holding companies, we weight Strategy & Use Cases and Budget & Procurement heavily because in media the revenue mix (subscription, advertising, FAST, licensing, sponsorship, agency fees) determines which AI bets pay back, and library scale plus rights / clearance posture decide what's actually deployable. Here's how that actually happens:

1. 01

   We evaluate every media vendor on this list using public information and free-tier hands-on.

   Our researchers evaluate each vendor on the list using a defensible mix of inputs: vendor documentation and pricing pages, free-tier or trial-seat hands-on where the vendor offers one, video walkthroughs, third-party reviews (G2, Capterra, Gartner Peer Insights), published broadcaster and publisher case studies, practitioner discussion (LinkedIn, NAB Show, IBC, Cannes Lions coverage), and recent funding and news coverage. Where we can sign up and exercise the product directly, we do, and grade the output against a sample workflow: in the media case, a generative video pass through a tool like Runway or Adobe Firefly, an AI-dubbing localization run through ElevenLabs or Papercup, a personalization-model output, or a metadata-enrichment pass on archive video. We do not pay for paid tiers and we do not run a held-out audience-recommendation benchmark through every tool. Both are cost-prohibitive at the scale this guide covers.

   Every claim in a tear-sheet is labelled MEASURED (free-tier hands-on observation, or output graded against a sample workflow), ESTIMATED (cost-per-seat efficiency derived from the vendor's pricing page and feature limits), or CITED (vendor-published or third-party benchmark, with the source linked).

2. 02

   We score on outcomes buyers care about, with weights we publish.

   Vendor decks sell features. Media operators actually buy outcomes: production cost per finished hour that drops, subscriber churn that bends, ad CPMs that lift, and a stack that survives SOC 2, C2PA content credentials, COPPA, GDPR / CCPA, SAG-AFTRA AI provisions, and TAG brand-safety review. We score five dimensions: Strategy & Use Cases, Data Readiness, Tool Stack, Team & Workflow, and Budget & Procurement. Industry benchmarks for mature media operators sit at 60 / 55 / 50 / 55 / 60 percent of each dimension's maximum. The dimensions and benchmarks are public so your board can defend the pick, and so vendors can't quietly negotiate them. The audit also captures your operating baselines (subscriber churn, average revenue per user, watch-time per active user, CPM versus category median, production cost per finished hour, agency client retention, and podcast / audio sell-through) and fans return-on-investment scenarios out per selected baseline.

3. 03

   We publish. Vendors check facts. Affiliate links are disclosed.

   Every vendor receives their scored tear-sheet seven days before publication and can flag factual errors (wrong pricing tier, misquoted feature, integration listed as native that's actually via a third party). Rankings can't be appealed; only factual corrections are accepted. Where the guide links to a vendor's product, that link may earn us a commission. Disclosed on every page where the link appears. Vendors do not pay for inclusion, placement, or ranking.