Opportunity 1
Build a face-enhancement evidence page for a capability the engines currently overlook.
Validate impact by rerunning the identical prompt set after implementation.
Neutral brand snapshot · collected 2026-08-23
HitPaw VikPea
HitPaw is considered credible when included, but it is missing from too many high-intent category and comparison answers.
Most decision-useful findingChatGPT ranked HitPaw first for “HitPaw vs Topaz”; all 10 recommendations landed within the top three positions.
Observed evidence
What the 150 answers contained
These are raw counts from the final validated appendix, not estimated competitor scores.
10/150answers recommending the brand
3Rank‑1 picks
7.8%Tier‑A recommendation share
5/14high-intent prompts with ≥1 recommendation
| Evidence dimension | HitPaw VikPea | Category leader |
|---|---|---|
| Recommendations by engine (ChatGPT / Gemini / Perplexity) | 5 / 4 / 1 | 26 / 19 / 17 |
| Own-domain citations observed in Perplexity answers | 7 | 22 |
| Distinct third-party citation domains | 7 | 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 | HitPaw VikPea status |
|---|---|---|---|---|---|
| Q39 | HitPaw vs Topaz | HitPaw VikPea | Topaz Video AI | Topaz Video AI | #1 / #2 / #2 |
| Q01 | best AI video enhancer | Topaz Video AI | Topaz Video AI | Topaz Video AI | #3 on ChatGPT and Gemini |
| Q34 | best Topaz alternative | Aiarty | Aiarty | Aiarty | #3 on Gemini |
Testable opportunities
Three moves suggested by this sample
These are hypotheses to test, not promises of future model behavior.
Opportunity 2
Address the Topaz-alternative cluster with an honest price and beginner-use comparison.
Validate impact by rerunning the identical prompt set after implementation.
Opportunity 3
Expand independent review coverage beyond the seven 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.