SayWhatt
AI sales assistant for e-commerce that sells like an expert and lifts revenue by an average 12%
If you sell high-consideration products and your chat widget only answers FAQs, SayWhatt is the version of that widget that actually closes. The 12% revenue lift and 50% ticket reduction are vendor-reported, so treat them as a hypothesis to test in your own niche during the 30-day trial. Pricing above the published Pro tier is the real unknown — get numbers in writing before you commit.
Verified 15d ago · liveness 69/100 · cite: rightaichoice.com/tools/saywhatt
- E-commerce brands selling high-consideration products where shoppers need guidance before buying
- Skincare, supplements, and sports equipment retailers with complex or personal product questions
- Brands losing conversion at the consideration stage to scripted website chatbots
- Support teams buried in repeated product questions who want autonomous ticket resolution in Gorgias or Zendesk
- Low-cost, high-volume impulse sellers where guided selling slows the path to checkout
- Teams that need fully bespoke conversational flow builders rather than a trained model
- Buyers who require fully transparent published pricing above the Pro tier before evaluating
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Skip SayWhatt if you sell low-cost impulse-buy products, need fully customizable conversational flows, or require transparent per-seat pricing without a sales demo.
Beyond the $99/mo Pro tier, pricing is not public; you'll need to book a demo to learn about team/enterprise costs.
SayWhatt's pricing is positioned for e-commerce brands with high-ticket products that can justify a revenue-share-like model; the $99/mo Pro tier is affordable for small teams, but enterprise plans likely scale with volume, and the lack of transparent per-seat pricing makes cost comparison difficult.
In short
SayWhatt — AI sales assistant for e-commerce that sells like an expert and lifts revenue by an average 12%. Best for E-commerce brands selling high-consideration products where shoppers need guidance before buying, Skincare, supplements, and sports equipment retailers with complex or personal product questions, Brands losing conversion at the consideration stage to scripted website chatbots. Free to start; paid plans from $99/mo.
Viability Score
How well maintained and how widely used is SayWhatt? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Sales Authority Model trained on human sales methodology and retail data
- Step-by-step guided selling conversations
- Personalized product recommendations based on the shopper's current routine
- Handles sensitive questions like pregnancy safety and ingredient conflicts
- Multi-channel coverage: website, messaging, POS, CRM, in-store, WhatsApp
- Shopify integration
- Gorgias integration with autonomous ticket resolution
- Zendesk integration with autonomous ticket resolution
- SAM first-responder mode in CRM inboxes
- Per-brand customization with fast onboarding, no IT resources needed
- Enterprise-level account management
- 30-day free trial
- Continuous A/B testing against competing AI sales systems
- Reported 12% average revenue uplift, 20% add-to-cart, 25% conversion
About SayWhatt
SayWhatt is an AI sales assistant for e-commerce brands selling products that need expert guidance before someone commits — skincare, supplements, sports gear, golf simulators. Instead of firing back FAQ answers, its Sales Authority Model runs step-by-step conversations that qualify the shopper, surface the real objection, and steer toward the right product. The demo conversations on the site show it asking about pregnancy timing before recommending a detox, or working out which eye serum fits an existing Paula's Choice and Murad routine. The pitch is that these conversations mirror what a good in-store salesperson does, because the model is trained on retail sales methodology and retail data rather than generic chat transcripts. Reported outcomes: 12% average revenue uplift, 20% add-to-cart rate, 25% conversion rate, 50% average CS ticket reduction, 20x average ROI. It runs across website, messaging, POS, CRM, in-store, and WhatsApp, with Shopify and full Gorgias and Zendesk integrations. SAM acts as a first responder inside those CRMs, resolving tickets autonomously rather than just opening them — which is where the support-side savings come from. Deployment is plug-and-play and customized per brand: no IT or team resources required, fast onboarding, enterprise-level account management, and a 30-day free trial. Compared with generic website chatbots, SayWhatt is built specifically to sell rather than to deflect. It's a weaker fit for low-cost impulse purchases or teams that need fully bespoke conversational flows.
Behind the Verdict
SayWhatt makes the most sense when the buying decision is slow and personal. Skincare routines, supplement safety, which golf simulator actually fits a two-car garage — these are conversations where a scripted bot falls apart and a human salesperson earns their commission. That's the niche SayWhatt is aimed at, and the Sales Authority Model is trained for it. We'd reach for it when conversion is leaking at the consideration stage and support is drowning in the same product questions. The CRM angle is the underrated part: acting as first responder in Gorgias and Zendesk means one system handles the pre-sale question and the post-sale ticket. Fewer tools, less handoff. When to pass. If your catalog is $15 impulse buys, guided selling adds friction, not revenue. If your team needs to hand-craft every conversation branch, this is a training-based system, not a flow builder — that constraint will bite. And if pricing transparency is a hard procurement requirement, the site only shows a free entry point and a $99/mo Pro tier, with anything above that going through sales. The closest alternative is a general-purpose support chatbot with a product-recommendation layer bolted on. Cheaper, faster to stand up, and it will happily answer "what's your return policy." It will not ask how far along you are before recommending a detox product. That difference is the entire product. In practice, budget a real pilot. The reported 12% uplift is an average across customers, and averages hide a lot — your niche, traffic mix, and price point will move that number. Run the 30-day trial on a single high-margin category first. One caveat on the vendor copy: 2026 copyright, six channels, four metrics, and no case studies with named numbers. The testimonials are qualitative. Ask for
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Real-world workflow fit
Concrete scenarios for the personas SayWhatt actually fits — and what changes day-one when you adopt it.
A customer asks if a product is safe during pregnancy; SAM engages in a step-by-step conversation, asks about stage, and recommends safe alternatives, increasing order value.
Outcome: The customer feels confident and completes the purchase, lifting conversion rate by converting an uncertain shopper.
A customer submits a ticket asking about a specific supplement; SAM, integrated with Gorgias, autonomously resolves the ticket with expert guidance.
Outcome: CS workload drops by up to 50%, allowing human support to focus on complex issues.
A customer with a $7k budget asks for help; SAM asks about garage space and dimensions to recommend the right package.
Outcome: The customer buys a higher-value package, boosting average order value.
Use Cases
- A beauty brand using SayWhatt to recommend personalized skincare routines based on skin type and existing products.
- A sports equipment retailer helping customers choose a pickleball paddle by asking about experience level and preferences.
- A tech company assisting with high-ticket simulator purchases, asking about setup space and budget to recommend the right package.
- A supplement brand handling pregnancy-related product questions with expert guidance.
- A fashion label integrating SayWhatt across web and in-store to provide consistent sales assistance.
Models Under the Hood
as of 2026-09-15
Limitations
- The AI is trained on human sales techniques and real retail methodology, and is designed for complex purchase scenarios where expert guidance is needed.
- It requires access to brands' sales playbooks and product knowledge to operate.
- Pricing information is not publicly detailed, with a demo required for more information.
as of 2026-08-29
Verification history
We have re-verified SayWhatt 21 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
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Showing the 6 most recent of 21 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published SayWhatt tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Small e-commerce brands or solo founders wanting to test SayWhatt's basic capabilities with a limited number of conversations and a simple website widget.
What this tier adds
Entry point with limited conversations and basic widget; access to Sales Authority Model but with constraints.
Pro
$99/mo
Ideal for
Growing e-commerce brands selling high-consideration products that need multi-channel selling, CRM integrations, and autonomous ticket resolution.
What this tier adds
Adds full Sales Authority Model, multi-channel support, Gorgias/Zendesk integration, A/B testing, and 30-day free trial.
Where the pricing makes sense
The company stage and team size where SayWhatt's pricing actually pencils out — and where peers do it cheaper.
SayWhatt's pricing is positioned for e-commerce brands with high-ticket products that can justify a revenue-share-like model; the $99/mo Pro tier is affordable for small teams, but enterprise plans likely scale with volume, and the lack of transparent per-seat pricing makes cost comparison difficult.
Setup time & first value
How long it actually takes to get something useful out of SayWhatt — broken out by persona, not the marketing-page minute.
Fast onboarding—no IT resources required. Most brands can launch within days, with typical setup time of 1-2 weeks for initial training and integration with Shopify, Gorgias, or Zendesk.
Switching to or from SayWhatt
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From basic chatbot tools: Replace your scripted chatbot with SayWhatt; SAM's training on your product knowledge provides more nuanced conversations.
- →From manual sales/support: Implement SayWhatt to handle initial inquiries and ticket resolution, freeing human staff for complex cases.
- ↗To custom chatbot builder (e.g., Botpress): Export conversation logs to inform custom flows, then set up your own branching logic.
- ↗To a dedicated CS tool with AI (e.g., Intercom Fin): Migrate ticket resolution logic by mapping SAM's responses to your new system.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “SayWhatt”, and we withheld 6: 6 could not be judged, because “SayWhatt” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about SayWhatt.
Official links
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