AI website agent for serious visitor intent

AI website agents that understand your brand before they answer.

Atithya answers from approved content, spots serious visitor intent, and hands warm conversations to your team.

Approved contentDomain controlsAnswer-first lead capture

customer.com

Website visitor

What plan is right for a mid-market team?

For a mid-market team, Pro usually fits if you need approved answers, lead capture, and two domains. Plus makes sense when you want advanced analytics, more domains, and deeper handoff.

Pricing intentLead form appears after answer

Top questionsPricing, implementation, security

Source gapsIntegration timeline needs detail

Conversation to lead14 high-intent handoffs

Reviewed preview proof

Working previews before logo walls.

Reviewed setup

A managed quality pass before the agent is published.

Approved sources

Product, pricing, security, company, policy, and press pages by default.

Founder-safe preview

Desktop and mobile previews before a script touches the live site.

Why generic bots fail

The problem is not the bubble. It is what happens after the question.

Instead of making the visitor work harder, Atithya turns the same question into a useful answer, a safer handoff, and a visible learning signal for the team.

Generic bot failure

Visitor asks: "Is this right for my team?"

Unscoped answer

The bot replies like a generic helpdesk and misses the buyer's actual website context.

Visitor still has to decode fit

Premature form

The form appears before the visitor gets value, so serious questions feel interrupted.

Lead capture feels pushy

No buyer signal

The conversation ends without showing the team what the visitor was trying to learn.

No insight for sales or content

Atithya correction

Same question, handled like a trained website agent.

Approved source answer

Atithya answers from approved product, pricing, security, policy, and company context.

Visitor gets a useful answer

Lead capture after value

The handoff appears after the answer, only when the visitor's intent justifies it.

Lead capture feels earned

Intent and source gap

The same conversation becomes a category signal, source gap, and next action for the team.

The business learns what to fix

Product theatre

A visitor question becomes an answer, a signal, and a next step.

Atithya is built to do more than sit as a passive bubble. It answers from approved context, reads what the visitor is evaluating, and waits to hand off until the conversation is warm.

01Visitor asksCan this handle security questions before I book?

A serious buyer asks the question they would otherwise keep for sales.

02Approved source answerAnswer from the security page, policy notes, and approved setup context.

The Atithya agent answers directly, avoids unsupported claims, and keeps the buyer inside the brand's world.

03Lead handoffMeeting prompt appears after the useful answer, not before it.

The lead form is triggered by intent and hides again if the visitor continues exploring.

Source gapSecurity implementation timeline needs a clearer page.

Visitor insightSecurity + pricing questions are appearing together.

Team actionRoute high-intent security questions to founder or sales owner.

Visitor questions are product data

Your website already receives buying questions.

Most of them disappear into bounce rates. Atithya groups the questions people ask into intent categories your team can act on.

01PricingRising this week

02Product fitNeeds source depth

03IntegrationsRising this week

04SecurityNeeds source depth

05CompetitorsRising this week

06ImplementationNeeds source depth

How Atithya answers

A brand-trained answer system, not a generic chatbot.

Approved sources

Atithya starts with the pages your team approves: products, pricing context, integrations, policies, company pages, and press.

Brand scope

The agent understands when visitors say you, your product, or your pricing, and keeps the answer inside the brand's world.

Buyer behavior

Pricing, competitor, security, and implementation questions are handled directly, without sounding defensive or generic.

Warm handoff

Lead capture appears after the answer, only when the conversation shows enough intent to justify it.

Scoped, not timid

The agent answers the hard questions buyers actually ask.

Competitor intent

How do you compare with Wonderchat for a B2B SaaS site?

Answer the comparison in context, show where the brand is stronger, and invite the buyer to clarify their workflow.

Trust intent

Can this answer HIPAA or SOC 2 questions?

Treat compliance questions as in-scope, answer from approved material, and avoid claims the brand has not approved.

Implementation intent

How quickly can we install it on Webflow?

Explain the one-script install path, domain allowlist, preview approval, and handoff to the setup checklist.

Analytics for visitor intelligence

Know what visitors wanted before they left.

See questions, intent, leads, source gaps, conversation quality, and recommended next moves while private implementation details stay hidden.

1,284conversations

38%pricing intent

142lead handoffs

91source gaps

Top questionHow do you integrate with HubSpot?

Source gapImplementation timeline needs a clearer page.

Question to insight loop

See the exact path from visitor question to team action.

Analytics should read like a morning review, not a spreadsheet: intent, source gaps, lead context, and the next move for sales or content.

01Visitor questionWhat does implementation look like for a two-domain SaaS site?

A buyer asks the kind of question that usually gets buried in chat history or never reaches sales.

02Buyer intentImplementation + pricing intent

Atithya groups the question by intent so the team can see what the visitor is really evaluating.

03Source gapPricing page needs setup timeline

The answer is useful, but the source review shows where the website should explain more.

04Team actionSend to sales with the source gap attached

The handoff gives the team context, not just a name and email.

Widget Studio

Make the AI website agent feel native before you install it.

Launcher textDefault ready

Accent colorPeacock teal

Starter questionsDefault ready

Fallback messageDefault ready

Preview before install

See the agent sitting on your website first.

Review desktop, mobile, and lead-form states against your real homepage before a script ever goes live.

Widget closedDesktop website preview

Homepage screenshot with the launcher placed where visitors expect it.

Widget openMobile website preview

A compact agent window tested against small-screen hierarchy.

After answer onlyLead form state

The form appears after the answer and disappears when the visitor continues.

Install anywhere

Install after the preview passes.

One script, domain controlled: add the script tag, approve your domain, review the desktop and mobile preview, and check the first answer before publishing.

WebflowWordPressShopifyReactNext.jsFramer

Install scriptScoped script

<script async src="https://atithya.ai/widget.js" data-agent="customer-agent" data-atithya-url="https://atithya.ai/embed/customer-agent" data-origin-host="customer.com" data-workspace-id="atithya-demo-workspace" data-position="bottom-right"></script>

Safe to send to the website owner after the preview is approved.

Script addedCopy script

The install snippet is attached to the reviewed agent workspace, not rebuilt by the customer.

Domain allowedVerify domain

The agent answers only on approved live, preview, and development domains.

Preview approvedApprove desktop and mobile preview

The team sees the launcher on the actual homepage before anything is published.

First answer checkedReady to publish

One real buyer question confirms answer quality, handoff timing, and fallback copy.

Customer websitecustomer.com approved

Install handoffSnippet sent to owner

Launch statusReady to publish

Built with controls

The customer keeps the steering wheel before and after launch.

Atithya stays useful without feeling loose. The homepage shows controls a customer can actually understand: approved sources, allowed domains, pause, review, and relaunch.

Approved pagesSource approval

Only approved product, pricing, policy, security, company, and press pages shape the answer behavior.

12 sources approved

Blocked domainDomain perimeter

Customer domains, preview domains, and local testing stay separated so unknown sites cannot use the agent.

1 live domain active

Agent pausedPause and review

If something needs inspection, the owner can pause answers, preserve the review note, and relaunch after QA.

Review before relaunch

Pricing that protects quality

Same answer quality. Different usage, domains, analytics, and support.

FreeINR 0

For testing the agent on one controlled domain.

500 answers/month
1 customer domain
Basic analytics
Strict abuse controls

ProINR 1,999

For early B2B websites and founder-led teams.

3,000 answers/month
2 customer domains
Lead CSV export
1 small refresh/month

PlusINR 6,999

For teams using conversations as a lead channel.

12,000 answers/month
5 customer domains
Advanced analytics
Priority setup support

Frequently asked questions

The questions that decide whether an AI website agent feels safe to install.

Clear answers for founders and teams who want a useful website agent without weakening brand control, answer quality, or visitor trust.

How is Atithya different from a generic bot?

Atithya behaves like a brand-trained website agent. It answers from approved context, understands visitor intent, and knows when a conversation should become a lead handoff.

What content does the agent use?

The managed setup starts with approved website pages: product, pricing context, integrations, policies, security, company, and press pages. Blogs and resource libraries stay out unless you approve them.

Can it answer pricing, security, and competitor questions?

Yes. Those questions are treated as in-scope buyer intent. The agent answers from approved sources, avoids unsupported claims, and keeps the next question moving toward fit or handoff.

Does answer quality change by plan?

No. Every plan keeps the same answer standard. Plans change answer volume, approved domains, analytics depth, refresh support, and service level.

What happens when a visitor is high intent?

Atithya uses answer-first lead capture. It answers first, then asks for details only when the conversation shows enough intent. In the managed setup, leads can route to CSV, email, or Google Sheet.

What happens at the answer cap?

You get owner alerts before a plan is exhausted. If the cap is reached, visitors see a friendly message that can invite them to leave details without making the brand feel broken.

Can Atithya support Shopify or D2C stores?

Current Shopify mode supports storefront education: product fit, policy explanation, shipping and returns guidance, and common buying questions. Order tracking, refunds, payments, subscriptions, and live inventory need approved integrations.

How do we approve the agent before launch?

You review the source list, desktop and mobile previews, starter questions, fallback copy, domain allowlist, and handoff behavior before the script is installed.

Build the host your website is missing

Give visitors a faster way to understand you.

Start with a managed setup, preview the agent on your website, and only publish when the answers, widget, and handoff feel right.

Request a managed demo