The short answer. Digital Legates delivers AI search visibility (AEO / GEO for ChatGPT, Google AI Overviews, Perplexity, Bing Copilot), custom GPTs and Claude Projects for teams, RAG-based assistants over proprietary data, LLM-powered support chatbots, and marketing/sales automation pipelines. AEO/GEO audits from ₹75,000; custom assistants ₹1,50,000–₹4,00,000; RAG deployments ₹3,00,000–₹8,00,000; full automation programmes ₹4,00,000–₹15,00,000+. Ongoing AI ops retainers from ₹50,000/month.
Three buyer profiles
we see the most.
The brand realising AI is a new search surface.
Your buyers now ask ChatGPT or Perplexity before Googling. When they do, your competitors are cited and you are not. You need AEO/GEO — the discipline of getting your brand mentioned inside AI answers on the queries that matter to your business.
The team drowning in repeatable knowledge work.
Your sales team answers the same 30 objections every week. Your support team writes the same 50 responses. Your marketing team produces the same content briefs from the same SERP research. You want AI assistants and RAG systems that eat the repeatable work — freeing your team for the 20% only humans do well.
The operator quietly using ChatGPT alone and wanting infrastructure.
You've been solo-hacking with ChatGPT and Claude in personal accounts for six months. It's helping — but there's no way to share prompts across the team, no memory of what worked, no monitoring of costs, no security review of what data goes where. You want the amateur workflow turned into professional infrastructure.
Eight AI
disciplines.
AI search
optimisation.
The single highest-leverage marketing work of 2026. When ChatGPT, Perplexity, Google AI Overviews, or Bing Copilot answer a question your buyer asks — is your brand cited? Right now, for most brands, the answer is no. We fix that.
What ships
- Baseline AI-visibility audit across 4 engines
- Query mapping — the questions your buyer is asking AI
- Entity establishment (sameAs, Wikipedia if eligible)
- FAQPage & QAPage schema deployment
- Citation-worthy source pages (data, opinion, review)
- llms.txt file & AI-crawler policy
- Monthly AI-visibility monitoring
- Competitor citation analysis
Custom GPTs
& assistants.
Custom GPTs on ChatGPT Team / Enterprise, custom Claude Projects, and standalone assistants on OpenAI Assistants API or Anthropic Messages API. Configured with your knowledge, tuned to your voice, and integrated with the tools your team already uses.
What ships
- System prompt engineering (5–20 pages)
- Knowledge base loading & chunking
- Voice & tone calibration
- Tool use / function calling setup
- Integrations (Slack, Notion, Google Drive, HubSpot)
- User testing & iteration
- Cost monitoring & rate-limiting
- Prompt library & team training
RAG
over your data.
Retrieval-augmented generation: the pattern where an assistant retrieves relevant information from your data before answering. Deployed on your infrastructure or ours. Vector databases, semantic search, citation-back-to-source, and monitoring on retrieval quality.
What ships
- Data ingestion pipeline (docs, Slack, Notion, Drive)
- Chunking & embedding strategy
- Vector database (Pinecone, Weaviate, pgvector)
- Retrieval evaluation & tuning
- LLM orchestration (LangChain, LlamaIndex, custom)
- Citation-back-to-source in answers
- Access control & permission filtering
- Retrieval-quality monitoring & alerting
Support bots
that actually work.
Not the decision-tree bots of 2019. LLM-powered support that reads your product docs, understands intent, answers correctly for 60–80% of tickets, and hands off cleanly to humans for the edge cases. Deployed on your existing helpdesk.
What ships
- Product-docs & ticket-history ingestion
- Intent classification & routing
- LLM response generation with citations
- Human hand-off flow & SLA
- Helpdesk integration (Intercom, Zendesk, HubSpot Service)
- Multi-language (Hindi + English + regional)
- Deflection-rate & CSAT monitoring
- Continuous training on resolved tickets
Marketing
workflow automation.
Content production pipelines, SEO brief generation, review response drafting, social-listening dashboards, competitor monitoring, dynamic ad creative. The tedious repeatable marketing work — automated to free the team for strategy and creative.
What ships
- Content research → draft → edit pipelines
- SEO brief auto-generation from SERP analysis
- Review-monitoring & response drafting
- Social-listening & sentiment dashboards
- Competitor content monitoring & alerting
- Dynamic ad-creative generation
- Email personalisation at scale
- Newsletter research & drafting
Sales
process automation.
Lead enrichment (Clay, Apollo, Clearbit), account research briefs, personalised cold outreach, meeting-notes summarisation, CRM data hygiene, and pipeline forecasting. The 60% of sales work that isn't actually selling.
What ships
- Lead enrichment & scoring pipelines
- Account research brief generation
- Cold email personalisation (Clay + LLM)
- Meeting notes → CRM updates
- Call recording summarisation
- Objection-handling assistants for reps
- Pipeline hygiene & forecasting
- Signal-based outreach triggers
Content
production pipelines.
The end-to-end factory. Keyword research → SERP analysis → brief generation → first draft → editorial review → publish. Humans in the loop at brief and edit stages; AI handles the research and drafting steps that eat writers' time.
What ships
- Keyword research automation
- SERP-analysis brief generator
- First-draft generation in your voice
- Fact-check & citation verification
- Editorial review checklist automation
- Image generation for featured art
- Schema & metadata auto-generation
- CMS publish integration
Internal AI
tooling for teams.
The infrastructure layer that turns amateur solo-hacking into professional team infrastructure. Prompt libraries, shared workflows, cost monitoring, security review, and training programmes that get your whole team using AI on the same standards.
What ships
- Team prompt library (Anthropic Console, OpenAI Playground)
- Shared workflow templates
- Cost monitoring & per-team budgets
- Data-security review & policy
- Model routing (right model for each job)
- Feedback capture & iteration
- Team training programme (2–4 sessions)
- Governance framework & escalation
Force multiplier
on a good team, not a replacement for one.
Most AI pitches promise autonomous agents replacing human roles. Most AI deployments in the real world break inside 90 days because the model hallucinates, the data drifts, the vendor changes pricing, or the automation touches an edge case nobody documented.
Our approach is the opposite. We build AI systems that make your existing team faster and better — not systems that replace them and gather dust six months later. Every deployment we ship has monitoring, guardrails, human review gates, and a clear owner on your team who understands how it works. No black boxes.
That's also why we don't ship autonomous LLM agents that make binding decisions without a human in the loop. The technology isn't there yet — and pretending it is, at your expense, is not a partnership we want.
Ranged, published,
no theatre.
AEO/GEO audit + roadmap.
₹75,000–₹2,00,000. Baseline AI-visibility audit across ChatGPT, Google AIO, Perplexity, Bing Copilot; query mapping; entity audit; schema recommendations; monthly monitoring setup. 2–4 weeks. For brands starting the AI-search conversation.
Custom GPT or single assistant.
₹1,50,000–₹4,00,000. System-prompt engineering, knowledge loading, voice calibration, tool use, integrations, team training. 3–6 weeks. For teams standardising a repeatable knowledge-work task.
RAG chatbot or automation programme.
₹3,00,000–₹8,00,000 (single build) / ₹4,00,000–₹15,00,000+ (full programme). RAG deployment with proprietary data, vector infrastructure, monitoring; or multi-workflow marketing/sales automation. 6–16 weeks. For serious infrastructure investment.
Ongoing AI ops retainers from ₹50,000/month (light monitoring, prompt updates, iteration) up to ₹2,00,000+/month (dedicated AI ops engineer for continuous evolution). LLM API costs are separate and paid directly to OpenAI, Anthropic, or Google — you own the accounts.
AI questions without the spin.
What is AEO/GEO — and why does it matter?
AEO gets your brand cited inside AI answers on Google AIO, ChatGPT, Perplexity, Bing Copilot, Claude. GEO is the broader discipline of shaping how AI models represent your brand. Buyers now ask AI before Googling — if you're not in the answer, you're invisible.
How is AI search different from traditional SEO?
Traditional SEO ranks you in blue links; AI search cites you in a synthesised answer. Tactics overlap (technical, content, backlinks still matter) but AI adds FAQPage/QAPage schema, entity establishment, citation-worthy pages, llms.txt policy, and structured Q&A designed to be lifted verbatim.
Can you build custom GPTs for our team?
Yes — custom GPTs on ChatGPT Team/Enterprise, custom Claude Projects, or standalone assistants. Configured with your knowledge, voice, and workflow integrations.
What is RAG — and do we need it?
Retrieval-augmented generation. If team knowledge lives in docs, Slack, Notion, or Drive and the assistant needs to answer from it, you need RAG. Without it, the assistant is guessing from public training data.
Can you build customer support chatbots?
Yes — LLM-powered bots that read product docs, understand intent, answer 60–80% of tickets, and hand off cleanly. Integrated with Intercom, Zendesk, Freshdesk, HubSpot Service.
What kind of marketing automation do you build?
Content pipelines, lead scoring, email personalisation, dynamic ad creative, SEO brief auto-generation, competitor monitoring, review response drafting, social listening. Repeatable work automated, strategic work stays human.
How do you think about AI ethics and hallucinations?
AI hallucinates — every deployment we build assumes it. Structured outputs, RAG with citations, human review gates for customer-facing work, monitoring on quality. No autonomous agents making binding decisions without a human in the loop.
How much does AI/automation cost?
AEO/GEO audit ₹75,000–₹2,00,000. Custom GPT ₹1,50,000–₹4,00,000. RAG chatbot ₹3,00,000–₹8,00,000. Full automation programme ₹4,00,000–₹15,00,000+. Ongoing retainers ₹50,000–₹2,00,000/month.
Ready to brief us on an AI project?
30-minute discovery call. Bring the problem you're solving and the data you'd want the AI to know — we'll come back with a written scoping brief and a plain-English recommendation within 5 working days.