Built around the decision your customer needs to make.
Generative answers vary by prompt, time, location and product configuration. Our work therefore separates observed mentions from proven referrals. The goal is a stronger public information footprint: accurate descriptions, original expertise and useful sources that help a buyer assess your business.
Digital Vaid works from the Tricity region with businesses across India and internationally. We adapt the plan to your market, sales cycle and operational capacity. An activity belongs in the programme when it helps your business make progress, not simply because it appears on a standard agency checklist.
What’s included
Visibility baseline
A documented prompt set captures current brand mentions, citations and competitor context without pretending that a small sample measures the whole market.
Citable content
We develop original explanations, comparison criteria and factual source material with clear ownership, publication context and supporting evidence.
Entity consistency
Brand names, products, services and profiles are reviewed for contradictions that could confuse readers or automated systems.
Retrieval readiness
We inspect accessible text, page structure and crawler controls, then recommend changes appropriate to the platforms and content involved.
From discovery to improvement
We begin with a focused discovery conversation and a review of the material already available. Your business objective, audience, baseline and constraints become a written brief. We identify access needs and dependencies early, so approvals or missing information do not quietly derail delivery.
Next, we prioritize a manageable first phase. Each recommendation has a reason, an owner and an agreed output. Execution follows the approved scope, with checks before changes are published or campaigns go live. We share the implications of material changes rather than treating additional work as an automatic commitment.
After launch, the work moves into observation and refinement. We compare results with the baseline, examine the quality of the response and decide what to maintain, change or stop. Scaling is a considered decision supported by evidence, budget and your team’s ability to handle the demand.
Deliverables you can use
Your proposal defines the exact volume, formats and delivery dates. A typical engagement includes a baseline review, prioritized roadmap, agreed implementation outputs and a plain-language performance summary. Relevant source files, account access and operating notes are included as specified in the agreement.
Every review should answer three questions: what changed, what did we learn and what should happen next? We avoid presenting activity as proof of success. If an experiment is inconclusive or a dependency blocks progress, you will see that in the report along with the recommended next step.
Tools with a purpose
Tool selection depends on your existing stack and the work required. Paid subscriptions, media costs and third-party licences are identified separately where applicable. We request the least access necessary and confirm account ownership, approval rights and handover responsibilities before work starts.
Measure the outcome, not just the output
For this service, the measurement plan centres on repeatable prompt observations, relevant citations, referral traffic and downstream enquiries. We agree definitions and a sensible review window before drawing conclusions. Seasonality, sales follow-up, consent choices and changes outside the programme can affect what the numbers mean.
Your questions, answered
Can you guarantee that an AI assistant recommends us?
No agency controls an assistant’s answers. We can improve source quality and track observations, but recommendations and citations remain variable. We never claim privileged access to an AI platform’s ranking system.
What do we need to get started?
Share your website, target markets, business priorities and current constraints. We then agree the scope and request only the access needed for delivery. Existing account history, sales feedback and brand material help us build a more useful baseline.
How will we know what is working?
We agree a reporting framework around repeatable prompt observations, relevant citations, referral traffic and downstream enquiries. Reviews distinguish completed work, observed performance and the next recommended action. Attribution limits and external influences are explained rather than hidden behind a single score.
Can this work alongside our internal team?
Yes. We can lead delivery or work with your marketing, sales and technical teams. Responsibilities, approvals, review frequency and handover requirements are documented so the work can move forward without duplicated effort.