Wave vs AudioEye
Zero of fourteen models named Wave first on the direct prompt; zero named AudioEye. Wave was named by nine of the fourteen models and AudioEye by twelve and Wave carries 13 labels and AudioEye 25, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the website governance and accessibility page.
By framing
WaveFirst choices, of fourteen modelsAudioEye
Across every category in the October 2026 Edition, Wave and AudioEye were named in the same answer eighteen times, of the 52 answers naming Wave and the 69 naming AudioEye. In those answers AudioEye took the first choice zero times and Wave three.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | |||||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | ||||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | |
Wave AudioEye first choice named as an alternative argued againstblank: not namedEach cell is one answer, Wave on the left and AudioEye on the right.The direct prompt
Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Wave0%#10 of 12AudioEye0%#12 of 12Wave3%#6 of 13AudioEye3%#8 of 13What the models said about Wave
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“free or low-cost tools like WAVE (by WebAIM) or Google's Lighthouse are excellent starting points” Grok 4.1 Fast · budget prompt · first choice
“e.g., Deque Axe, WAVE, Siteimprove, Pope Tech, or Monsido” Gemini 3.5 Flash · negative prompt · first choice
“Start with free tools - WAVE, Lighthouse, WCAGsafe” GLM 4.7 FlashX · budget prompt · first choice
What the models said about AudioEye
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“court rulings (such as in *LightHouse v. ADP*) have explicitly stated that overlay solutions do not constitute adequate accessibility fixes under the law” Qwen 3.7 Flash · negative prompt · hard negative
“Similar overlay issues; involved in lawsuits where it was cited as a barrier, not a fix.” Grok 4.1 Fast · negative prompt · hard negative
“AudioEye - One of the overlay platforms that has appeared in lawsuit data” MiniMax M2.5 · negative prompt · hard negative
“AudioEye - Best for managed remediation plus monitoring for SMB to mid-market teams.” Llama 4 Maverick · paraphrase prompt · first choice
“Best Overall Recommendation: AudioEye” Claude Haiku 4.5 · paraphrase prompt · first choice
“strong if you want active monitoring and some automatic fixes, but it still benefits from expert testing alongside automation” Perplexity Sonar · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.