Optimize your digital footprint so Large Language Models, ChatGPT, Gemini, Perplexity, and Google AI Overviews cite and recommend your brand.
Watch unscripted video reviews from healthcare specialists and high-growth creative agencies whose search authority and organic pipelines were engineered by Shrazen.
“Within 10 days of launching with Shrazen, we received 20 direct patient calls and 4 same-day consultations. The search credibility built transformed how patients find us in Lucknow.”
“We had world-class reels but were invisible on Google. Shrazen re-engineered our search footprint, taking our services from position #78 to Page One. We now win high-value retainers.”
How AI models parse, reference, and shortlist enterprise brands.
AI SEO is the practice of optimizing a brand's public digital footprint. This ensures it is discovered, indexed, and recommended by LLMs and conversational search systems.
Unlike legacy search engine optimization, which often relies on keyword stuffing and exact-match optimization, AI search engines evaluate information quality, domain authority, structured markup, and entity alignment.
Traditional search engine result pages (SERPs) provide lists of blue links, forcing users to click through multiple sites to compile information. Conversational search engines synthesize answers instantly.
To remain visible when buyers use ChatGPT Search, Gemini, and Perplexity, companies must transition to citation-engine presence. This ensures their sites are chosen as trusted primary sources.
Google's official generative-AI search guidance makes it clear that standard search quality guidelines still apply to AI-generated experiences.
Google explicitly directs site owners to focus on producing helpful, reliable, people-first content, stating that there is no special schema or layout required for inclusion in AI Overviews.
ChatGPT Search can search the web dynamically, issues targeted search queries, retrieves real-time data, and provides direct source citations in answers.
OpenAI documents two distinct bots: OAI-SearchBot and GPTBot. The controls for these crawlers are independent:
# robots.txt configuration
# Allow ChatGPT Search to discover & cite your site
User-agent: OAI-SearchBot
Allow: /
# Block AI model training on your proprietary code
User-agent: GPTBot
Disallow: /Generative Engine Optimization (GEO) focuses on aligning information structures so models can accurately represent and cite your brand.
Answer Engine Optimization (AEO) focuses on making information directly answerable. This relies on clean bulleted content, simple definition headers, and concise explanation layouts.
LLM SEO improves the probability that model-driven systems will recommend your services. This requires placing factual, structured product data across multiple authoritative nodes.
ChatGPT SEO focuses on technical accessibility and information structure so ChatGPT can retrieve, parse, and cite your site when responding to comparative user prompts.
Google explicitly notes that there is no special AI-specific structured schema markup. Using standard schema markup (such as `Product`, `FAQPage`, and `Service`) is sufficient to help models parse entity metadata.
Google also warns against producing thousands of separate pages targeting minor query variations simply to manipulate Search. Focus on publishing fewer, more authoritative hubs.
Original Research: Publishing unique data and research establishes authority that competitors cannot duplicate. This supports high-quality backlinks and AI engine citations.
For venture-backed SaaS companies, AI search engines are a key source of category discovery. Optimization requires setting up target architectures:
B2B buyers perform comprehensive research before speaking to sales. They value technical documentation, factual comparison sheets, and developer portfolios.
Structuring your technical documentation and service capabilities clearly ensures models can retrieve precise technical answers, helping you secure shortlists during vendor evaluations.
As India's technology and startup capital, Bangalore is home to highly competitive SaaS and enterprise technology hubs.
Both "Bangalore" and "Bengaluru" are used by buyers in organic searches. Shrazen targets both terms naturally on one authoritative page to build local authority without duplicate-content issues.
Determining compatibility based on your product lifecycle and structural foundation.
Your company is ready for AI search optimization if you meet these conditions:
Avoid launching AI SEO campaigns if your business is in these stages:
A comprehensive, end-to-end framework to secure citation authority.
Assess index eligibility, existing crawler barriers, page load times, and initial visibility benchmarks.
Configure direct access rules for OAI-SearchBot and Googlebot-Extended to ensure proper indexing.
Formulate model training boundaries to protect proprietary code while allowing search discovery access.
Query model interfaces using automated evaluation pipelines to score baseline citation rates.
Map queries where competitors are referenced by AI search engines to find reference opportunities.
Design standard organization, service, and product schema coordinates to tie your location to Bangalore.
Restructure target content into clean H1-H2-H3 trees designed for natural language parsing.
Deploy clear, concise term definition nodes at the top of informational pages to capture AI answers.
Implement validated Q&A pages matching common user questions to build authority.
Construct comprehensive comparison tables comparing product features and technical specifications.
Deploy separate product pages detailing supported API workflows and developer setups.
Build product-focused alternative comparison hubs designed to capture evaluation searches.
Align API documentation and developer guides to improve visibility for technical queries.
Publish original data assets and industry survey reports to support citations and references.
Distribute authoritative company mentions on trusted developer platforms, directories, and databases.
Register consistent geo-coordinates and address info across regional business networks.
Optimize site load speeds, layout shift, and interaction indicators to ensure a fast user experience.
Verify that users arriving via AI citations convert via clean trials, demos, or contact actions.
Conduct monthly prompt checks across multiple models to verify brand recommendation rates.
Review citation analytics, competitor moves, and model upgrades to refine the search strategy.
Verify that your site meets critical technical and content requirements.
How we execute campaigns for Bangalore startups and enterprises.
A Koramangala B2B project-management software was missing citations on "best project software with Slack integration."
Execution: We deployed integration detail pages outlining real-time Slack triggers and synced with schema data. Within weeks, the SaaS company was cited in comparison queries.
An enterprise cybersecurity firm in Whitefield struggled to rank for "secure database compliance providers in India."
Execution: We structured their product pages, added comparison compliance tables, and resolved crawl blocks in their docs. The company was added to model shortlist summaries.
An AI startup in HSR Layout wanted ChatGPT to recommend their platform for "real-time translation services."
Execution: We published original latency benchmarking reports, mapped clear entity schema, and earned citations in third-party industry journals to establish authority.
A boutique IT consultancy in Indiranagar wanted to attract CTOs researching cloud migration partners.
Execution: We deployed comprehensive guide hubs outlining AWS-to-Azure migration pitfalls, complete with Q&A sections, helping them rank as the authority for migration queries.
We apply rigorous engineering to keep your business visible across all search engines.
We analyze system response times, crawler behaviors, and page metadata to ensure models can access your information.
We build specialized comparison matrices, integration structures, and case studies aligned with tech buyer journeys.
We manage access protocols to optimize search visibility while protecting your core intellectual property.
We optimize for clickable citations that drive qualified trials, demo requests, and customer signups.
Common questions regarding AI SEO, GEO, and search crawlers.
An AI SEO agency helps businesses improve discoverability across traditional organic search and AI-assisted search experiences through technical SEO, content, entity optimization, authority, and AI visibility strategy.
There are new considerations around AI answers, source selection, entity representation, and conversational research. But Google's latest guidance explicitly says foundational SEO remains relevant to generative AI Search.
Yes. Google currently provides generative AI Search experiences and publishes specific guidance for website owners optimizing for them.
Yes. OpenAI's current ChatGPT Search documentation says ChatGPT can search the web, use targeted queries, and provide source citations in answers.
OAI-SearchBot is OpenAI's crawler for search-related discovery in ChatGPT search.
No. OpenAI currently documents them separately. OAI-SearchBot supports search discovery, while GPTBot relates to crawling content that may be used to improve generative AI foundation models.
OpenAI currently documents the controls independently, so a publisher can allow OAI-SearchBot while disallowing GPTBot.
No. We can improve discoverability, clarity, authority, relevance, and source-worthiness, but no external agency controls final generated answers.
No. Google explicitly says that meeting its requirements and best practices does not guarantee appearance in generative AI Search features.
Generative Engine Optimization focuses on improving how useful and authoritative a brand's information is for generative answer systems.
Answer Engine Optimization focuses on making information useful for direct-answer experiences.
LLM SEO focuses on improving how language-model-driven systems can discover and understand public information about a business.
ChatGPT SEO focuses on technical access, entity clarity, content quality, authority, and discoverability relevant to ChatGPT search.
Google currently says there is no special schema markup required for its generative AI Search features. Use standard structured data where genuinely appropriate.
No. Google specifically warns against producing separate pages for every possible query variation primarily to manipulate Search or generative AI responses. Build deeper, more useful content.
The relevant issue is not simply whether AI assisted with production. Quality, originality, usefulness, and compliance with Search policies matter. The page strategy should focus on useful information rather than content volume.
Original research creates information that other pages cannot simply duplicate. It can support rankings, citations, links, and brand authority when the research is genuinely valuable.
Yes. SaaS companies often have strong AI-search opportunities around categories, use cases, integrations, comparisons, alternatives, and technical questions.
Yes. B2B buyers frequently conduct substantial research before contacting sales, making category education, comparisons, proof, and expertise especially important.
Yes, but startups should usually establish product clarity, category clarity, and technical foundation before trying to publish hundreds of AI-oriented pages.
For technical products, documentation can be highly valuable because it answers implementation and capability questions precisely. Treat docs as part of the information architecture.
They can be valuable where buyers genuinely compare products. Make them factual, useful, and fair rather than pretending the company wins every scenario.
Yes where the intent exists and the page genuinely helps buyers compare options.
They can when each integration page explains real capabilities, workflows, limitations, and use cases. Avoid empty programmatic pages.
No. Google currently says no special structured data is required for its generative AI Search experiences.
Bangalore has a strong technology and startup commercial environment. Karnataka's official investment platform currently highlights Bengaluru as a leader in technology startups and funding. That makes SaaS, technology, AI, and B2B examples particularly relevant for this location page.
Both are used by searchers. Use both naturally on one authoritative city page rather than creating duplicate pages for identical intent.
Not every organic commercial search requires a customer-facing physical office. But the website must not falsely claim a location it does not have. For Maps/GBP-specific visibility, eligibility and real-world location rules matter separately.
Yes, but local AI discovery is a specialist discipline.
Yes. See our local SEO services.
Yes, for eligible businesses we offer specialized management.
Yes, we specialize in high-performance web development.
Yes. We design and integrate CRM workflows and AI calling agents.
Potential measurement includes organic visibility, relevant AI mentions, citations, source referrals, trials, demos, and qualified leads. No single AI visibility score tells the whole story.
Yes, ChatGPT search responses can contain clickable source citations, creating measurable referral paths into websites.
Google currently directs site owners toward existing Search Console tracking as part of its generative-AI optimization guidance.
There is no universal timeline. It depends on existing authority, technical condition, competition, category maturity, content depth, crawl/index cycles, and third-party authority.
Scope depends on website size, SaaS/product complexity, technical SEO condition, content architecture, comparison/integration strategy, original research, authority requirements, and reporting depth.
Your customers are already asking AI for recommendations. Will AI discover your business or your competitors?
"Will AI discover your business or your competitors?"