The leader is dominant, not universal
Topaz captured 29 of 42 Tier-A recommendation opportunities and 32.2% high-intent SOV, yet missed three of the 14 high-intent prompts.
Independent category benchmark · 2026
Best AI video enhancers in ChatGPT, Gemini & Perplexity
A validated 50-question visibility benchmark showing which video enhancement tools AI engines recommend, which brands win buyer-intent queries, and which citation gaps may be worth testing.
50 English prompts3 engines150/150 answers15 tracked competitorsCollected 2026-08-23
Complete category leaderboard
15 competitors, with raw evidence beside the score
The proprietary score is shown for ordering only. Recommendation counts, Rank‑1 picks, Tier‑A SOV, engine distribution and citation breadth are provided so readers can judge the result directly.
62 / 150Topaz recommendations
7 / 14money queries still contested
63leader citation domains
2challenger three-engine sweeps
| Rank | Brand | Aivius score* | Recommendations /150 | Rank‑1 | Tier‑A SOV | Recs C / G / P | 3rd‑party domains |
|---|---|---|---|---|---|---|---|
| 1 | Topaz Video AI | 58 | 62 | 46 | 32.2% | 26 / 19 / 17 | 63 |
| 2 | Video2X | 19 | 19 | 12 | 10.0% | 10 / 4 / 5 | 23 |
| 3 | VideoProc | 16 | 10 | 0 | 8.9% | 1 / 2 / 7 | 27 |
| 4 | AVCLabs | 13 | 15 | 3 | 7.8% | 9 / 3 / 3 | 17 |
| 5 | UniFab | 13 | 9 | 2 | 4.4% | 1 / 2 / 6 | 25 |
| 6 | HitPaw VikPea | 9 | 10 | 3 | 7.8% | 5 / 4 / 1 | 7 |
| 7 | Aiarty | 9 | 8 | 4 | 4.4% | 2 / 4 / 2 | 14 |
| 8 | Media.io | 5 | 2 | 1 | 0.0% | 0 / 0 / 2 | 15 |
| 9 | TensorPix | 4 | 5 | 3 | 3.3% | 1 / 3 / 1 | 3 |
| 10 | Vmake | 2 | 2 | 0 | 0.0% | 0 / 1 / 1 | 6 |
| 11 | Flowframes/RIFE | 2 | 3 | 1 | 0.0% | 2 / 0 / 1 | 5 |
| 12 | SeedVR2 | 1 | 1 | 0 | 1.1% | 0 / 1 / 0 | 0 |
| 13 | Pixop | 0 | 0 | 0 | 0.0% | 0 / 0 / 0 | 0 |
| 14 | Cutout.pro | 0 | 0 | 0 | 0.0% | 0 / 0 / 0 | 0 |
| 15 | Remini | 0 | 1 | 0 | 0.0% | 1 / 0 / 0 | 0 |
* Aivius Visibility Score = 35% overall recommendation rate + 25% Tier‑A recommendation rate + 20% Rank‑1 rate + 20% citation breadth relative to the leader. It is a proprietary comparative index, not an industry standard.
Industry findings
Six findings that shape the category
These observations describe this dated run; they do not claim permanent rankings or causation.
Half the money queries remain contested
Seven of 14 Tier-A prompts had no shared primary pick across all three engines.
Free intent behaves differently
Video2X led the free-seeking cluster, while commercial products were frequently absent.
Two brands were recommendation-invisible
Pixop and Cutout.pro received zero recommendations across the 150-answer sample.
Citation breadth is highly uneven
Topaz appeared alongside 63 distinct third-party citation domains; VideoProc and UniFab followed with 27 and 25.
Challengers can win narrow battles
Aiarty swept “best Topaz alternative”; TensorPix swept the cloud-versus-desktop batch comparison.
Citation landscape
Retrieval does not automatically become recommendation
Topaz led citation breadth with 63 distinct third-party domains. VideoProc (27) and UniFab (25) had substantial citation ecosystems but far fewer recommendations—evidence of a citation-to-recommendation conversion gap, not proof that citations cause rankings.
Public evidence
Leader analysis and brand snapshots
Topaz is presented as the category leader analysis; six additional public snapshots show distinct visibility patterns. The complete prompt map and execution roadmap remain part of the custom audit.
Leader analysis
Topaz Video AI
Topaz was the category’s default AI recommendation in this run, but three high-intent prompts and two challenger comparison sweeps show where that lead is contestable.
Read the evidence →Challenger case
Aiarty Video Enhancer
Aiarty owns the benchmark’s clearest challenger query, but that win has not yet expanded into broad category visibility.
Read the evidence →Brand visibility snapshot
AVCLabs Video Enhancer AI
AVCLabs has a genuine recommendation foothold, but too few primary picks and a thin first-party citation base.
Read the evidence →Neutral brand snapshot
HitPaw VikPea
HitPaw is considered credible when included, but it is missing from too many high-intent category and comparison answers.
Read the evidence →Challenger case
TensorPix
TensorPix has one unusually strong cross-engine win, but almost no visibility beyond that narrow scenario.
Read the evidence →Brand visibility snapshot
UniFab
UniFab’s pages are cited, but that retrieval footprint is not converting into recommendations across all engines.
Read the evidence →Brand visibility snapshot
VideoProc Converter AI
VideoProc appears in relevant answers but was never the primary pick in this benchmark run.
Read the evidence →Methodology
What was measured—and what was not
Collection
50 English category, comparison and use-case prompts were asked to ChatGPT (GPT-5.5), Gemini (Gemini 2.5 Pro), and Perplexity (Sonar Pro) on 2026-08-23. The final validated appendix contains 150 of 150 answers.
Extraction
A separate extraction pass at temperature 0 distinguished explicit recommendations and ordered picks from mere mentions. Citation analysis covers URLs returned with Perplexity answers.
Limits
This is a single-run sample. Model outputs are stochastic, ranks can move between runs, and observed citation relationships are correlation—not proof of causation. Results are a dated benchmark, not a permanent market ranking.
Independence disclosure: Aivius benchmarks brands independently using the same methodology. No brand receives preferential treatment. Brand names and trademarks belong to their respective owners.
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