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sales@ud3logic.com
FOR HR INQUIRY
hr@ud3logic.com
When someone asks an AI assistant about your industry, what does it say about you? LLM SEO improves the accuracy and visibility of your brand in large language model answers by strengthening your web presence, facts and expertise where these models learn and search.
Large language models answer from what they learned during training and, increasingly, from live web search. If information about your company is thin, inconsistent or outdated across the web, AI assistants may ignore you, confuse you with others or repeat wrong details.
LLM SEO works on the sources these systems rely on: your own website's clarity and crawl access, consistent facts across profiles and directories, genuine reviews, expert content and coverage on trusted publications. We sample AI answers for your key topics, fix inaccuracies at the source and track change over time. There are no shortcuts or guaranteed placements in AI answers, and we say so upfront.
See how major assistants describe you today.
One accurate story across the web.
Reviews, profiles and expert authorship.
Monthly sampling of AI answers.
Practical work on the sources AI relies on.
Structured tests of what assistants say for your key queries.
Company facts, schema and profiles aligned everywhere.
robots.txt and hosting settings for search and AI crawlers you choose to allow.
Original guides, data and case studies worth referencing.
Mentions in relevant, trusted publications and lists.
Genuine reviews on platforms AI tools often reference.
An evidence-based approach to how large language models represent your brand.
We build a prompt set covering your category, brand, competitors and buying questions, then sample answers monthly from major assistants.
AI answers draw on your website and third-party sources. We find outdated or wrong information and correct it at the source.
We review which search and AI crawlers can reach your site and configure robots.txt and hosting settings to match your business choices.
We build expert content and earn mentions on trusted publications that AI systems often reference.
Your brand doesn't appear for category questions.
Old prices, wrong locations or services are repeated.
Competitors have clearer content and more coverage.
Build a consistent footprint from day one.
Common business problems, the solution we build and the outcome it is designed to deliver.
Problem: AI assistants don't mention your brand.
Solution: Content, PR and listings that build presence.
Result: More chances to be mentioned.
Problem: AI confuses you with a similar name.
Solution: Clear entity information and schema.
Result: Clearer brand identity.
Problem: AI repeats old information.
Solution: Source corrections and fresh content.
Result: More accurate answers over time.
Problem: AI recommends competitors first.
Solution: Comparison content and proof.
Result: Stronger positioning.
Problem: You're unsure which AI bots to allow.
Solution: Crawler policy and robots.txt setup.
Result: A deliberate, documented choice.
Problem: You can't measure AI visibility.
Solution: Monthly prompt sampling.
Result: Trend data you can act on.
Most engagements combine three or four practices. A digital transformation project may draw on AI, application development, cloud and security together.
Test, fix at the source, re-test.
We agree the questions buyers ask AI about your category.
Answers collected from major assistants.
Where facts and recommendations seem to come from.
Clear, crawlable pages with accurate facts.
Profiles, listings, reviews and PR.
Monthly sampling and trend reporting.
Structured prompt sets across major AI assistants
robots.txt, crawler logs, Search Console
Organization schema, profiles, Wikidata where eligible
Digital PR, review platforms, industry directories
Changes in AI answers depend on when models update and re-crawl sources. Typical engagement:
Prompt sampling, source analysis and correction plan.
Website, listings, profiles and press kit updates.
Content, PR, monthly sampling and reporting.
Every account is different. Book a free 30-minute call and get a clear monthly plan. Ad spend is paid directly to the platforms from your own accounts.
Pick the model that fits your budget, timeline and team, and switch as the project grows.
What working with UD3 Logic looks like compared with a typical vendor.
Experienced developers, modern technology and quality assurance for faster execution with fewer surprises.
We align business goals, user needs, priorities and technical direction before development begins, so every feature has a clear purpose.
Modular, scalable foundations that support more users, new features and integrations without forcing expensive rebuilds later.
Data protection, access control, API architecture and secure development practices are treated as a core part of the product.
Clear milestones, regular reviews and honest communication keep your team aligned and remove unnecessary surprises.
We stay involved with optimisation, maintenance, enhancements and scaling so your product keeps evolving with the business.
Each case study shows the challenge, what we built and the technology behind it.
Telemedicine, clinic and lab software, patient apps and HIPAA/ABDM-aware data handling.
School ERP, LMS, online classes, fee collection and parent-teacher apps.
Online stores, marketplaces, POS integrations and loyalty programmes.
Wallets, lending, payments and investment platforms with strong security.
Fleet tracking, delivery apps, shipping portals and warehouse systems.
Hotel booking, property management, tours and restaurant ordering.
Property portals, CRM for brokers, virtual tours and rental management.
Production tracking, maintenance, IoT dashboards and oil & gas field apps.
Most major assistants now search the web, so fresh content matters.
AI tools increasingly show sources, rewarding clear and trustworthy pages.
Reviews and third-party coverage influence AI recommendations.
Publishers set clearer policies for which AI crawlers can use their content.
Buyers ask AI to shortlist products and suppliers.
New tools track brand visibility across AI assistants.
AI assistants are used worldwide, and answers vary by language and country. We sample answers for each market you target, from the USA and UK to the Gulf, India and Indonesia.
Google and Bing SEO for US cities and states, Google Business Profile optimisation and US-English content.
UK search intent, .co.uk and local pack visibility, UK-English spelling and GDPR-compliant tracking.
Arabic and English SEO and ads for Dubai and Abu Dhabi, with bilingual landing pages and local listings.
Arabic-first SEO and campaigns for Riyadh, Jeddah and Dammam, including Snapchat and X audiences.
Bilingual search and social campaigns for Doha, with Arabic keyword research and local listings.
Arabic and English visibility for Muscat brands across Google, Instagram and local directories.
SEO and ads for Sydney, Melbourne and Brisbane with Australian English and local citations.
Search and social campaigns for Auckland and Wellington with NZ-specific keyword research.
Bahasa Indonesia SEO and ads for Jakarta and beyond, with TikTok, Instagram and marketplace visibility.
Hindi and regional-language SEO, local SEO for Indian cities and performance campaigns with clear CPA goals.
"What impressed us most about UD3 Logic was their ability to understand the healthcare industry rather than treating the project like a standard software development assignment. They invested time in learning how our hospital operates, the challenges faced by our staff, and the expectations of our patients before proposing solutions. This resulted in a platform that felt practical and intuitive instead of being overloaded with unnecessary features.
Another standout quality was their willingness to collaborate. They welcomed feedback throughout the project, refined features based on our evolving requirements, and consistently focused on finding the best long-term solution instead of the quickest fix. Their technical expertise, combined with clear communication and genuine commitment to our success, made the entire engagement feel like a true partnership.
Even after the primary development work was completed, they continued to provide valuable support and enhancements, which gave us confidence that the solution would continue to evolve alongside our organization."
Share a few details. A senior project lead will reply within one working day with questions, a suggested approach and a cost range.
Prefer to talk? +91 98874 87026 · sales@ud3logic.com
Detailed answers to the questions clients ask us most before starting a LLM SEO Services project.
Talk to a project lead. We usually reply within one working day.
Ask a questionLLM SEO is improving how large language models such as ChatGPT, Gemini, Claude and Perplexity understand and mention your brand. It overlaps heavily with SEO and GEO, with extra focus on brand facts, third-party sources and sampling AI answers.
We can't guarantee it, because AI providers decide what their models say. What we can do is improve the quality, consistency and authority of information about your company, which makes accurate mentions more likely.
From what they learned during training and, for many assistants, from live web search. That includes your website, directories, review sites, news coverage, industry lists and public knowledge bases.
It's a business decision. Blocking some crawlers may reduce how your content is used in certain AI products; allowing them may improve visibility. Google, for example, offers a Google-Extended control for some AI uses separate from Search. We explain the trade-offs and configure robots.txt to match your choice.
We use a fixed set of prompts and sample answers from major assistants each month, recording whether you are mentioned, how you are described and which sources appear. We also track AI referral traffic and leads in GA4.
We find where the wrong information comes from, such as old listings, outdated pages or press, and correct it at the source. We then publish clear, accurate information on your website and profiles.
They overlap. GEO is usually used for AI-powered search engines like Google AI Overviews and Perplexity; LLM SEO is a broader term for how language models represent your brand. We run them together in one programme.
Some assistants that search the web can reflect fixes within weeks. Others change only when their models are updated. Most clients see clearer trends after 3–6 months.
Typically ChatGPT, Gemini, Claude, Perplexity and Microsoft Copilot, plus Google's AI features. We can add assistants popular in your market.
We can't remove information directly. We can correct inaccurate sources, publish accurate information and build positive coverage, which may change answers over time.
Structured data helps search engines understand your content, but it is not a shortcut. We use schema that matches visible content as part of a wider programme.
Often yes, because B2B buyers increasingly use AI assistants to research vendors and shortlist options.
Share your idea and get a clear plan, timeline and quote. The first call is free.