Video Hosting: AI Market Discovery Index

Tracking how AI platforms recommend video hosting. This public AI Market Discovery Index is updated monthly since July 2026.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
5 minutes read

Benchmark Summary

In August 2026, Vimeo led the Video Hosting AI Market Discovery Index with a valid recommendation coverage of 57.3%, up from 55.8% in July 2026. The gap to the next brand widened to 23.6 percentage points, as Wistia held second place at 33.7%, down from 37.3% in July 2026.

Vidyard recorded the largest coverage decline, falling to 16.7% in August 2026 from 24.3% in July 2026, a drop of 7.6 percentage points. No brand recorded a significant coverage increase; the largest gain was Vimeo's 1.5 percentage point rise.

The benchmark began with 800 prompt-surface observations in each month and produced 300 qualified observations in August 2026 after qualification.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Aug 2026

  • Vimeo+1.5%
    Jul 202655.8%
    Aug 202657.3%
  • Wistia-3.6%
    Jul 202637.3%
    Aug 202633.7%
  • Brightcove-4.9%
    Jul 202632.2%
    Aug 202627.3%
  • Vidyard-7.6% · beyond normal variation
    Jul 202624.3%
    Aug 202616.7%
  • Kaltura-2.5%
    Jul 202618.5%
    Aug 202616.0%
  • Dacast-2.1%
    Jul 202617.8%
    Aug 202615.7%
  • SproutVideo-2.7%
    Jul 202613.7%
    Aug 202611.0%
  • Uscreen-5.0%
    Jul 202614.7%
    Aug 20269.7%
  • JW Player-1.0%
    Jul 20262.7%
    Aug 20261.7%
  • Cincopa+0.3%
    Jul 20260.0%
    Aug 20260.3%

Current Benchmark at a Glance

Measure

Jul 2026

Aug 2026

Movement

Qualified benchmark observations

292

300

Up 8

Tracked brands

10

10

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

25.7%

37.3%

Up 11.6 points

Valid recommendation shortlist share

56.8%

58.3%

Up 1.5 points

Leader by valid recommendation coverage

Vimeo

Vimeo

No change

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Video Hosting

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

Research stage

Jul 2026

Aug 2026

What it represents

Source prompt-surface observations

800

800

Total prompts collected across surfaces

Unique questions

516

588

Distinct questions after deduplication

Brand / competitor mentions

799

800

Prompts mentioning a tracked brand

Relevant observations

507

538

On-topic for the vertical

Irrelevant observations

292

262

Off-topic for the vertical

Qualified benchmark observations

292

300

Public denominator

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology

Current Brand Standings

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

Vimeo

93.7%

57.3%

44.7%

30.7%

0.7

Wistia

48.0%

33.7%

24.3%

5.0%

0.8

Brightcove

42.7%

27.3%

16.0%

3.7%

0.8

Vidyard

23.3%

16.7%

7.7%

1.0%

0.8

Kaltura

26.0%

16.0%

6.3%

0.7%

0.7

Dacast

21.0%

15.7%

8.0%

2.0%

0.8

SproutVideo

16.3%

11.0%

7.3%

0.3%

0.8

Uscreen

15.7%

9.7%

4.0%

1.3%

0.8

JW Player

3.7%

1.7%

0.3%

0.3%

0.6

Cincopa

0.7%

0.3%

0.3%

0.0%

0.5

How to Read the Standings

  • Presence rate is the share of qualified observations where the brand is mentioned at all.
  • Valid recommendation coverage is the share of qualified observations where the brand appears in a valid recommendation shortlist.
  • Top-three rate is the share of qualified observations where the brand is recommended in the top three positions.
  • Rank-one rate is the share of qualified observations where the brand is recommended first.
  • Net sentiment is the balance of positive over negative mentions across qualified observations.

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Brand

Jul 2026

Aug 2026

Movement since baseline

Vimeo

55.8%

57.3%

Up 1.5 points

Wistia

37.3%

33.7%

Down 3.6 points

Brightcove

32.2%

27.3%

Down 4.9 points

Vidyard

24.3%

16.7%

Down 7.6 points

Kaltura

18.5%

16.0%

Down 2.5 points

Dacast

17.8%

15.7%

Down 2.1 points

Uscreen

14.7%

9.7%

Down 5.0 points

SproutVideo

13.7%

11.0%

Down 2.7 points

JW Player

2.7%

1.7%

Down 1.0 point

Cincopa

0.0%

0.3%

Up 0.3 points

Nine of the ten tracked brands saw their recommendation coverage move within normal month-to-month variation. Cincopa rose from 0.0% in July 2026 to 0.3% in August 2026. Dacast's presence rate also declined, to 21.0% in August 2026 from 28.1% in July 2026.

Largest Decline: Vidyard

Vidyard's valid recommendation coverage declined by 7.6 percentage points to 16.7% in August 2026 from 24.3% in July 2026, beyond normal month-to-month variation. Its presence rate also declined, to 23.3% in August 2026 from 31.2% in July 2026. The brand appeared in 50 valid recommendations in August 2026, down from 71 in July 2026.

Category Leader: Vimeo

Vimeo has held the category lead in both months of the current series, at 55.8% in July 2026 and 57.3% in August 2026. Its presence rate held at 93.7% in August 2026, essentially unchanged from 93.5% in July 2026, and its rank-one rate rose to 30.7% in August 2026 from 28.8% in July 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Vimeo's rank-one rate of 30.7% far exceeds its closest peers, with its top-three rate of 44.7% in August 2026.

Brand

Aug 2026 top-three rate

Aug 2026 rank-one rate

Jul 2026 top-three rate

Jul 2026 rank-one rate

Vimeo

44.7%

30.7%

47.6%

28.8%

Wistia

24.3%

5.0%

22.6%

5.8%

Brightcove

16.0%

3.7%

18.1%

2.7%

Vimeo's top-three rate declined slightly while its rank-one rate rose, showing that close coverage figures can still hide different first-position rates.

Buyer-Intent Distribution

In both July 2026 and August 2026, all qualified observations fell into the Brand Recommendation class.

Buyer-intent class

Jul 2026

Aug 2026

Brand Recommendation

292

300

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

292

300

The current public series measures Brand Recommendation discovery only and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Jul 2026

292

Vimeo

55.8%

N/A (baseline)

Aug 2026

300

Vimeo

57.3%

Vidyard down 7.6 points

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment, not proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral, repeatable industry benchmark that tracks how AI and search surfaces mention, recommend, and rank brands across canonical surface families. New measurements are added to the same evergreen report.

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.

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Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.