Qwairy alternative: BotSay and Qwairy compared

Qwairy sells credits from $89 a month. BotSay costs less on every plan, at a fixed price for a set number of questions, with a likely range on Mention rate.

Written by the BotSay team.

Qwairy Starter is $89 a month for 1,300 credits, and each answer spends credits. BotSay costs less on every plan: $59, $139 or $359 a month, each for a set number of questions on six engines every week. Every fact about Qwairy here comes from its own site, read on 11 Oct 2026, and is listed under Sources.

At a glance

BotSay Qwairy
How the price works Yes: Fixed a month, by number of questions Credits, spent per answer
Lowest paid plan Yes: $59 a month $89 a month
Engines 6 on every plan 18 on every plan
How often it reads Every week, same questions and engines Daily, weekly or monthly, your choice
Likely range on Mention rate Yes: Printed, with the answer count Not published
Test for a real change Yes: Labelled for you Not published
What to do next Yes: Ranked by questions each item could win Scored and tiered

BotSay costs less on every plan, with nothing to meter

PlanBotSayQwairy
Entry plan
PlanStarterStarter
Price$59 a month Lower price$89 a month
Questions60 questionsUp to 100 questions, 1,300 credits
EnginesAll six engines18 engines, credits per answer
Middle plan
PlanGrowthGrowth
Price$139 a month Lower price$229 a month
Questions150 questionsUp to 300 questions, 3,900 credits
EnginesAll six engines18 engines, credits per answer
Top plan
PlanScaleBusiness
Price$359 a month Lower price$519 a month
Questions400 questionsUp to 800 questions, 10,400 credits
EnginesAll six engines18 engines, credits per answer

A check marks where BotSay gives you more for the month.

Qwairy charges credits for each answer, more for premium models read through official APIs, so how many questions a plan reads depends on the engines and schedule you choose.

Qwairy charges 1 credit for each answer from its core models, and 2 to 20 credits for each answer from premium models read through official APIs (credits). Its plans hold up to 100, 300 or 800 questions, and how many answers the credits buy depends on the engines and schedule you choose. Unused credits roll over.

BotSay's price covers a set number of questions, each asked on ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews and Google AI Mode every week. Every engine costs the same, because every engine is included:

A likely range and a test, printed with every reading

Qwairy lets you monitor daily, weekly or monthly, and its optional boost asks for 2 to 20 answers per model on a run (monitoring). Its FAQ says provider output can vary between generations, so an answer is an observation rather than a universal result. Qwairy publishes no likely range for any figure and no test for when a change is real.

BotSay asks the same questions of the same six engines every week and compares the week with the one before. Your Mention rate comes with its likely range, the span the true rate almost certainly sits in, and the number of answers behind it. When the rate moves, BotSay runs the exact test on both weeks and labels the change as real once it clears their combined uncertainty. Share of voice, Average rank, Your pages cited and Sentiment show each week's figure and how it moved. Below, an invented brand's two weekly ranges sit clear of each other.

Mention rate, two readings
The figures as a table
Mention rate, two readings
WeekMention rateLikely range (%)
Last week27.8%25.1 to 30.7
This week34.0%31.1 to 37.0
Up 6.2 points. A real change.

Example, using an invented brand

The full method is on How we measure. Your reading arrives in the weekly email.

BotSay ranks the work by how many questions it could win

Qwairy gives each action in its Action Center a score from 0 to 100, anchored to a Critical, High or Standard tier, and a demand signal from 1 to 5 (its release notes).

BotSay's action list gives each item the number of your questions it could win, with the answers that show it:

Once you publish, BotSay follows the questions that work was meant to win and labels the change in Mention rate when it is real.

What you gain with BotSay

  • A lower fixed price on every plan, counted in questions, with no credits to watch.
  • All six engines on every plan, each at no extra cost.
  • A likely range and answer count on your Mention rate, and a label when a change is real.
  • A list of work sized by how many questions each item could win.
Sources: 6 pages on www.qwairy.co and docs.qwairy.co, each read on 11 Oct 2026
  • www.qwairy.co/pricing does not publish: a likely range for any figure; a test for when a change is real; supports: Qwairy's pricing page offers US dollars and monthly billing; Qwairy lists ChatGPT, Google AI Overviews, Claude, Gemini, Google AI Mode, Perplexity and Microsoft Copilot among the engines on every plan; Qwairy lists sentiment and its Action Center on every plan; Qwairy offers a free plan with credits; Qwairy Enterprise has a custom price, read on 11 Oct 2026
  • docs.qwairy.co/documentation/get-started/credits supports: Qwairy charges credits for each answer, more for premium models read through official APIs; Qwairy lets unused credits roll over, read on 11 Oct 2026
  • docs.qwairy.co/documentation/workspace/monitoring supports: Qwairy lets you monitor daily, weekly or monthly, for a workspace or a question; Qwairy's optional boost asks for more answers per model on a run, read on 11 Oct 2026
  • docs.qwairy.co/documentation/get-started/faq does not publish: a likely range for any figure; a test for when a change is real; supports: Qwairy's FAQ says provider output can vary between generations, so an answer is an observation rather than a universal result, read on 11 Oct 2026
  • docs.qwairy.co/documentation/analyze/sentiment-analysis supports: Qwairy scores each analyzed mention for sentiment, read on 11 Oct 2026
  • docs.qwairy.co/updates/version-1-18 does not publish: how many of your questions an action could win; supports: Qwairy gives each action a score anchored to a Critical, High or Standard tier, and a demand signal, read on 11 Oct 2026

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