I’m starting external GTM for AnveVoice and trying to be honest about the wedge.
The product idea: a voice-agent layer for websites. A visitor lands with intent, asks a question out loud, gets an answer or routing, and can become a qualified lead without waiting for a form/chat/sales callback.
The distribution bet: sell through agencies first. Shopify, Webflow, GHL, CRO, and automation agencies already manage client sites. If voice on websites is useful at all, maybe it becomes a recurring client-site add-on before it becomes a direct SaaS category.
I’m deliberately not treating this as a normal launch yet. The questions I’m trying to answer:
If you’ve sold through agencies or built AI/voice products, I’d love the sharp version of your take.
that's great!
The agency-first bet makes sense as a wedge but the friction point I'd watch is the sales cycle inside agencies. Agency owners are already selling their time, adding a new product line means they need to believe the client will stay on it long enough to make the conversation worth having. The ones I've seen adopt tools fastest are the ones where the tool makes them look smarter to the client, not just the client's end users.
On your vertical question: B2B lead gen is probably the easiest to sell because the ROI story is the shortest ("visitor asked a question, became a qualified lead, closed"). Ecommerce has more volume but the "did voice cause this conversion" attribution problem is harder to solve convincingly.
One honest question back: have you tested whether agency salespeople can explain it in one sentence to a client who's never heard of voice agents? That's usually the real distribution bottleneck, not the product itself.
This is actually a solid wedge question, because “voice on websites” only works if it clearly beats existing intent flows — otherwise it becomes a novelty layer.
On usefulness: it’s not automatically a gimmick, but it depends heavily on context. It makes the most sense where intent is high and typing friction matters — like local services, urgent inquiries, or high-consideration purchases. For casual ecommerce browsing, it’s much weaker.
On agency positioning: agencies would probably sell it less as “voice AI” and more as CRO + lead capture uplift. If it increases conversion rate or reduces drop-off on mobile, that’s the story they’ll care about. “AI voice layer” is the feature, not the pitch.
For verticals, I’d test in this order: local services first (dental, legal, home services), then real estate, then high-ticket B2B. Ecommerce feels hardest to justify unless there’s strong browsing intent or support load.
What would make it believable isn’t the tech itself — it’s proof that it increases conversion or booking rate compared to chat/forms. Even a small lift in qualified leads would be enough for agencies to resell it.
So the real wedge isn’t “voice on websites,” it’s “higher conversion from existing traffic without changing the site structure.”
Cool concept. I'm also trying to validate an idea and exploring the distribution via agencies. How do you find and reach out to relevant agencies?
What caught my attention is that all four questions assume the same thing:
that the challenge is identifying the right path once the product exists.
I'm not sure I'd be completely confident that's the decision I'd want answered first.
That's what makes this interesting.
Fair push. The question before “which channel works?” is probably: what workflow is actually broken right now?
My current assumption is narrower than “voice belongs on websites.” It is that high-intent visitors still leak because forms, chat widgets, and callback flows add friction or delay at the exact moment they have a question. If that leak is not real in a vertical, then voice is just decoration.
So I’m trying to validate page-level pain, not voice as a category: pricing pages, service pages, local business FAQs, after-hours inquiries, and agency-managed sites where missed leads already have a dollar value. The strongest signal would be an agency saying: “yes, this client page loses qualified leads today, and I’d pilot a voice layer there if we measure qualified conversations.”
That's helpful context.
What stood out to me is that you've already started defining what a convincing signal would look like.
The interesting part isn't whether that signal appears.
It's what conclusions deserve to follow if it does.
Probably more than I'd try to unpack properly in a thread.
Happy to continue by email if useful.