iCapture vs BoothIQ
Zero of fourteen models named iCapture first on the direct prompt; one named BoothIQ. iCapture was named by thirteen of the fourteen models and BoothIQ by nine and iCapture carries 36 labels and BoothIQ 14, so the shares are not directly comparable.
Named in one category 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 event lead capture apps page.
By framing
iCaptureFirst choices, of fourteen modelsBoothIQ
Across every category in the October 2026 Edition, iCapture and BoothIQ were named in the same answer twenty-seven times, of the 107 answers naming iCapture and the 39 naming BoothIQ. In those answers BoothIQ took the first choice six times and iCapture 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 | | | | |
iCapture BoothIQ first choice named as an alternative argued againstblank: not namedEach cell is one answer, iCapture on the left and BoothIQ on the right.The direct prompt
BoothIQ first, iCapture an alternative
1 of 14 modelsiCapture was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
iCapture6%#5 of 13BoothIQ6%#6 of 13iCapture23%#1 of 12BoothIQ4%#7 of 12What the models said about iCapture
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“iCapture, Cvent LeadCapture, Whova and momencio's standard tier need organizer API / registration vendor access... That creates data ownership and consent ambiguity.” Muse Glimmer 30B · negative prompt · soft negative
“iCapture has slightly lower average G2 ratings than other options and negative comments focus on their older UX and difficult setup process” Claude Haiku 4.5 · negative prompt · soft negative
“iCapture, LeadCapture, Whova and momencio's standard tier all need the organizer's own system to work without one” Muse Glimmer 30B · scale prompt · soft negative
“iCapture | Enterprise teams with 10+ events/year | Proven offline reliability, strong ROI metrics” Kimi K2 · scale prompt · first choice
“prioritize "universal" third-party lead capture apps (like Blinq, Popl, iCapture, or Mobly)” Gemini 3.5 Flash · negative prompt · first choice
“Need flexible trade-show capture across many events? Look at iCapture.” GPT-5.4 mini · comparative prompt · first choice
What the models said about BoothIQ
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“but it does not have AI-powered follow-ups or field sales support” Llama 4 Maverick · negative prompt · soft negative
“BoothIQ (Best Overall Free Lead Capture App) ... is the top choice” Gemini 3.5 Flash · budget prompt · first choice
“Top Recommendation: BoothIQ (Best Free Option)” Kimi K2 · budget prompt · first choice
“BoothIQ and Mobly are the modern standard” Gemini 3.5 Flash · direct prompt · first choice
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.