Services
AI inbound system for B2B agencies
An AI inbound system for B2B agencies: buyer questions, founder content, AI answer tracking and lead routing built as one measured pipeline. Run by Shruti Kaushik.
An AI inbound system for a B2B agency maps the questions buyers ask, turns the founder’s expertise into content AI engines and people can find, tracks whether the agency gets named in AI answers, and routes every lead with its source attached. I am Shruti Kaushik, a founder-led GTM operator; I founded Wise Mango in 2015 and Klype AI in 2025, and I build inbound systems and the AI behind them.
Who it is for
- You run a B2B agency or consultancy and new clients still arrive through referrals you cannot predict or scale.
- You have tried content, but nobody can say which post, page or answer produced which client conversation.
- Prospects now ask ChatGPT, Perplexity and Google AI Mode to shortlist agencies, and you want to know whether yours is named.
- You want AI doing the repetitive work (research, drafting, tracking, routing) with a person who owns the outcome and checks every output.
What the work includes
Buyer question map
The 50 to 100 questions your buyers ask before they shortlist an agency, grouped by stage and checked against what AI engines answer today.
Content engine with a human gate
AI drafts posts, Reddit answers and pages from your own interviews, case notes and numbers. Nothing goes live without your approval, and every figure carries its source.
AI answer tracking
A weekly panel of your buyer questions across ChatGPT, Perplexity and Google AI Mode: who gets named, which pages get cited, and your share of voice over time.
Capture and routing
Forms with a self-reported source field, AI-referral tagging and CRM routing, so every inbound lead lands with its source and the right next step.
Weekly reporting
One short report: what shipped, which conversations came in and from where, and what the AI panel changed. Decisions, not dashboards.
How it runs week to week
- 1Monday. A 30-minute founder interview. The engine turns it into a week of raw material: stories, opinions, client patterns and numbers.
- 2Tuesday to Wednesday. Drafts for LinkedIn, Reddit and one site page, fact-checked and sent for approval in a single thread.
- 3Thursday. The AI answer panel runs. Gaps where competitors are named become next week’s page or answer.
- 4Friday. Inbound review: new leads, their self-reported source, routing status and what to follow up.
- 5Monthly. Share-of-voice trend, content-to-conversation attribution and a written call on what to keep, cut or change.
Proof from client work
Past results from Shruti’s case-study records and platform screenshots. Clients include Sprinklr, Sony, Zee Entertainment, Array Networks and SugarBox. Past results, not a forecast.
- Shayna Ecounified · 202381,900reactions on a single founder post
- 4,130 comments and 1,515 reposts on the same post
- 100+ PR and networking opportunities within 45 days
- SugarBox Networks (Zee) · Dec 2023 to Mar 2024642%increase in reactions, to 1,499
- Comments up 283% to 69, reposts up 250% to 28
- Organic posts out-pulled sponsored ones on new followers, day after day
- Lead-magnet posts · 2024450comments on one post, each a request for the guide
- 270 comments on a second lead-magnet post
- Every comment is a named lead to follow up
- Reddit ghostwriting · Six months to October 20266.2Mpost views in six months
- 47.7K upvotes over the same six months
- 3.1M views and 23.8K upvotes in the last month alone
Checklist: how to judge any AI inbound provider
- Can they show you the system running, with its tracking, rather than a slide about it?
- Is there a human approval gate before anything AI-drafted is published under your name?
- Do they cite a source for every figure in the content, so nothing invented reaches your buyers?
- Do they measure AI answers on your real buyer questions, and show the cited pages, not just a score?
- Will every lead arrive with its source attached, and can they show how that is captured?
- Do you own the accounts, data and content if you stop working together?
- Is one named person accountable for results, rather than a tool and a support inbox?
- Do they put scope and fees in a written proposal before you commit?
For the research behind this approach, read the founder-led marketing playbook, how to get your first 10 B2B customers and who AI cites for B2B buyer questions. The full program is founder-led AI visibility. Agency owners who want the founder-voice side can see the founder-led GTM consultant for B2B agencies page, see which firms AI recommends on AI recommends, and compare providers on the alternatives pages.
Questions agency founders ask
What is an AI inbound system for a B2B agency?
It is one connected pipeline that turns the founder’s expertise into content buyers find, tracks whether AI engines name the agency, and captures and routes the leads that result. AI does the research, drafting and tracking; a person owns the strategy and approves every output.
Is AI-written content risky for an agency’s reputation?
Unchecked AI content is. This system drafts only from your own material, fact-checks every figure against its source and publishes nothing without your approval, so the voice and the claims stay yours.
How is this different from buying an AI writing tool?
A tool produces drafts. This covers the question map, approvals, AI answer tracking, lead capture and attribution, so you can see which work produces client conversations.
How much founder time does it take?
About 30 minutes a week for an interview, plus time to approve drafts.
How do I see where my agency stands in AI answers today?
Start with the free AI visibility check. It shows whether ChatGPT, Perplexity and Google AI Mode name you for your buyers’ questions, and who they name instead.
How much does it cost?
Fees are set in a written proposal after a 30-minute call, based on scope. No prices are listed on this site.