Opportunity 1
Turn the cloud-versus-desktop batch win into a durable evidence page.
Validate impact by rerunning the identical prompt set after implementation.
Challenger case · collected 2026-08-23
TensorPix
TensorPix has one unusually strong cross-engine win, but almost no visibility beyond that narrow scenario.
Most decision-useful findingAll three engines ranked TensorPix first for the cloud-versus-desktop batch comparison; only five total answers recommended it.
Observed evidence
What the 150 answers contained
These are raw counts from the final validated appendix, not estimated competitor scores.
5/150answers recommending the brand
3Rank‑1 picks
3.3%Tier‑A recommendation share
1/14high-intent prompts with ≥1 recommendation
| Evidence dimension | TensorPix | Category leader |
|---|---|---|
| Recommendations by engine (ChatGPT / Gemini / Perplexity) | 1 / 3 / 1 | 26 / 19 / 17 |
| Own-domain citations observed in Perplexity answers | 6 | 22 |
| Distinct third-party citation domains | 3 | 63 |
| Rank‑1 picks | 3 | 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 | TensorPix status |
|---|---|---|---|---|---|
| Q40 | VideoProc vs Topaz / TensorPix vs Topaz | TensorPix | TensorPix | TensorPix | #1 on all 3 engines |
| Q01 | best AI video enhancer | Topaz Video AI | Topaz Video AI | Topaz Video AI | Absent |
| Q34 | best Topaz alternative | Aiarty | Aiarty | Aiarty | Absent |
Testable opportunities
Three moves suggested by this sample
These are hypotheses to test, not promises of future model behavior.
Opportunity 2
Create a no-GPU and laptop workflow page for TensorPix’s natural use case.
Validate impact by rerunning the identical prompt set after implementation.
Opportunity 3
Broaden independent citations beyond the three observed third-party domains.
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.