Opportunity 1
Defend category leadership with current, reproducible product benchmarks.
Validate impact by rerunning the identical prompt set after implementation.
Leader analysis · collected 2026-08-23
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.
Most decision-useful findingTopaz earned 62 recommendations and 46 Rank-1 picks—both category highs—and captured 29 of 42 Tier-A recommendation opportunities.
Observed evidence
What the 150 answers contained
These are raw counts from the final validated appendix, not estimated competitor scores.
62/150answers recommending the brand
46Rank‑1 picks
32.2%Tier‑A recommendation share
11/14high-intent prompts with ≥1 recommendation
| Evidence dimension | Topaz Video AI | Category leader |
|---|---|---|
| Recommendations by engine (ChatGPT / Gemini / Perplexity) | 26 / 19 / 17 | 26 / 19 / 17 |
| Own-domain citations observed in Perplexity answers | 22 | 22 |
| Distinct third-party citation domains | 63 | 63 |
| Rank‑1 picks | 46 | 46 |
Money queries
Three decision-stage queries behind the diagnosis
Primary picks are transcribed from the final validated Tier-A query matrix. “Absent” means the brand was not recommended by any engine for that query.
| ID | Prompt | ChatGPT #1 | Gemini #1 | Perplexity #1 | Topaz Video AI status |
|---|---|---|---|---|---|
| Q01 | best AI video enhancer | Topaz Video AI | Topaz Video AI | Topaz Video AI | #1 on all 3 engines |
| Q37 | is Topaz Video AI worth it | Topaz Video AI | Topaz Video AI | Topaz Video AI | #1 on all 3 engines |
| Q40 | VideoProc vs Topaz / TensorPix vs Topaz | TensorPix | TensorPix | TensorPix | Recommended, but #2 on all 3 engines |
Testable opportunities
Three moves suggested by this sample
These are hypotheses to test, not promises of future model behavior.
Opportunity 2
Address the free and lower-cost clusters where open-source tools displace commercial products.
Validate impact by rerunning the identical prompt set after implementation.
Opportunity 3
Monitor challenger comparison queries where Aiarty and TensorPix achieved three-engine sweeps.
Validate impact by rerunning the identical prompt set after implementation.
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.
Need the execution layer?
Turn a dated benchmark into a measured growth loop
The custom audit adds the full prompt map, competitor deep-dives, citation targets and a 30/60/90-day retest plan. Full model answers are not exposed on this public page.