Opportunity 1
Create structured head-term pages that translate citation visibility into recommendations.
Validate impact by rerunning the identical prompt set after implementation.
Brand visibility snapshot · collected 2026-08-23
UniFab
UniFab’s pages are cited, but that retrieval footprint is not converting into recommendations across all engines.
Most decision-useful findingPerplexity cited UniFab’s own domain 22 times—equal to the category leader—yet the brand received nine recommendations overall.
Observed evidence
What the 150 answers contained
These are raw counts from the final validated appendix, not estimated competitor scores.
9/150answers recommending the brand
2Rank‑1 picks
4.4%Tier‑A recommendation share
4/14high-intent prompts with ≥1 recommendation
| Evidence dimension | UniFab | Category leader |
|---|---|---|
| Recommendations by engine (ChatGPT / Gemini / Perplexity) | 1 / 2 / 6 | 26 / 19 / 17 |
| Own-domain citations observed in Perplexity answers | 22 | 22 |
| Distinct third-party citation domains | 25 | 63 |
| Rank‑1 picks | 2 | 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 | UniFab status |
|---|---|---|---|---|---|
| Q02 | best video upscaler | Topaz Video AI | Topaz Video AI | Topaz Video AI | #2 on Perplexity |
| Q09 | affordable video upscaler / cheap AI video enhancer | Video2X | Real-ESRGAN | Video2X | #3 on Perplexity |
| Q34 | best Topaz alternative | Aiarty | Aiarty | Aiarty | #2 on Perplexity |
Testable opportunities
Three moves suggested by this sample
These are hypotheses to test, not promises of future model behavior.
Opportunity 2
Reduce dependence on Perplexity with evidence formats discoverable by ChatGPT and Gemini.
Validate impact by rerunning the identical prompt set after implementation.
Opportunity 3
Explain the Kairo model with reproducible benchmarks and clear limitations.
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.