AI, Data & Automation
Agents, GenAI, automation and data platforms
Software & Product
Custom platforms, web & mobile, modernisation
Cloud, Security & Reliability
Managed cloud, DevOps, cybersecurity and QA
E-commerce & Apps
Commerce platforms and on-demand apps
Digital Marketing
Search, AI visibility, paid media and lifecycle
Hire & Engagement
Dedicated engineers, teams and engagement models
Technologies
Languages, frameworks, mobile and cloud platforms
Mindrops runs Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — entity clarity, structured data, answer-first content and AI-crawler access — so ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews can find your brand, describe it accurately and cite your pages.
Clients
A selection of the software Mindrops has designed and engineered for clients.
Quick Commerce · Logistics
A custom Android rider app with real-time order assignment, Google Maps navigation, COD collection tracking, returns and exchange pickups, and delivery proof.
Designed, built, tested and deployed between January and June 2026.
Government · GovTech
An AI-automated platform on Mindrops’ LazyMonkey foundation that categorises, prioritises, routes and auto-responds to every grievance, with one SLA-tracked record for central and regional teams.
Awarded via GeM (Nov 2025), it auto-triages thousands of grievances a day for a network of 1.5 lakh+ post offices.
AI · Food & Beverage
An embeddable AI chat assistant grounded in live catalogue and store data, with an “Order Now” action on every product and a no-code admin console for content and pricing.
Live across 50+ outlets in India, handling about 10,000 conversations a month and around 50 orders a day.
AI search optimization is the work of making a brand findable, citable and accurately described in AI-generated answers. Mindrops combines Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — consistent entity data, JSON-LD structured data, answer-first content, llms.txt and AI-crawler access — and measures mentions and citations across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews.
A defined set of buyer questions run across ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews, recording whether you are mentioned, cited and described correctly — and who appears instead.
One consistent description of the organisation, its products, people and locations across your site, Organization schema, Google Business Profile, LinkedIn and key directories, so engines resolve the brand to a single entity.
Organization, Service, Product, FAQPage, Article and BreadcrumbList markup written to schema.org, validated and kept in step with the visible page.
Pages restructured so the direct answer, definitions, comparisons and key facts sit near the top in extractable form — with new pages written through content marketing where gaps exist.
robots.txt rules for OAI-SearchBot, PerplexityBot, GPTBot, ClaudeBot and Google-Extended set by policy, server-rendered content, clean sitemaps and an llms.txt index of your key pages.
A repeatable prompt panel re-run on a schedule, logging mentions, citations, linked sources and accuracy, alongside AI-referral traffic in your GA4.
Buyers ask ChatGPT or Perplexity for vendors in your category and get a list without you. We find which questions you are missing from, which sources the engines rely on instead and what your own pages lack.
AI answers repeat an old product name, a discontinued service or the wrong location. We trace each error to its sources — your pages, schema, directory profiles — and correct it there.
Pages rank in Google but are rarely quoted in AI Overviews. This service adds the AI-specific layer; ranking work itself sits in SEO & AI visibility.
Content rendered only in JavaScript, crawlers blocked in robots.txt or a CDN firewall that rejects AI user agents keep pages out of retrieval. Engineers find and remove those blocks.
Website and SEO for a manufacturer
A first website, SEO, blog and social media setup for a plywood and flush-door manufacturer selling to buyers across India, with product categories organised around how buyers search.
From the client’s review
“The SEO setup ran alongside the build rather than after, giving the site a working foundation at launch.”
Recruitment & candidate management
A recruitment platform with candidate registration, applications, admit cards and a central admin dashboard.
From the client’s review
“They designed it to handle high concurrent traffic during active recruitment drives, which was critical for us.”
Ordering platform for a retail chain
A website and mobile app for a 70-outlet meat retail chain in Delhi NCR, on a backend built for high order volume.
From the client’s review
“The admin dashboard was the standout, putting inventory, pricing, and promotions across all 70 outlets in the hands of non-technical staff.”
Rural telehealth platform
A mobile app, website and admin dashboard connecting patients in rural and semi-urban India with doctors, with video consultations, digital prescriptions and patient registration.
From the client’s review
“The UI/UX design process was collaborative and they kept the end user in mind throughout, which mattered a lot for a platform targeting rural users.”
Food export storefront
An eCommerce website for an Indian food brand that sold through catalogues and enquiries: makhana, spices, dry fruits and gift hampers in clear collections, with bulk quote requests from export buyers.
From the client’s review
“Feedback during the build was turned around the same day, and the mobile layout was checked properly before the site went live.”
Website for a water treatment manufacturer
A website rebuilt from scratch for a maker of water treatment products, organised by segment (residential, commercial, industrial, municipal and agricultural) with a visible certifications section.
From the client’s review
“Segment wise product split is what we liked most, made browsing so much easier for both us and our customers.”
We agree the buyer questions that matter, run them across the main AI engines and record mentions, citations, sources and accuracy as the baseline.
We check how the brand is described on your site and third-party profiles, test whether AI crawlers can fetch and render key pages, and map each gap to a specific fix.
Structured data, answer-first rewrites, entity corrections and robots.txt and llms.txt changes are shipped in priority order on an agreed scope.
The prompt panel is re-run on schedule; each report shows citation and accuracy changes against the baseline and sets the next round of work.
Send us your URL and the questions your buyers ask. We’ll reply within one business day with how we would benchmark your visibility in AI answers.
An engineer will respond within one business day.
Have a defined scope? Get a quote
