I started working on AI search optimization for Indian startups back in early 2025 when I was running search strategy for VEGA AI at LearnQ India. We had just launched a new AI-powered test prep product for engineering students, and I noticed something unusual in our analytics. We were getting referral traffic from chatgpt.com and perplexity.ai even though we had done nothing to specifically optimize for those platforms.
When I dug into the data, the pattern became obvious. The pages getting AI citations were not our most keyword-optimized pages. They were the ones that answered questions directly in the first paragraph, had clear question-format headings, and cited real statistics with links to sources. It was not accidental GEO strategy at the time, it was just good content practice. But it was working in AI search engines in ways our traditional SEO pages were not.
That experience shaped everything I now teach at Pro AI Search. Because here is what most Indian startup founders do not realize: ChatGPT reached 900 million weekly active users globally, and India is the #2 market with 100 million weekly active users. Your potential customers are already searching for solutions in ChatGPT, Perplexity, and Google AI Overviews. The question is not whether AI search matters. The question is whether your startup shows up when they search.
Is GEO Actually a Real Thing or Just Another Marketing Buzzword?
This is the first question I get from startup founders every time I bring up AI search optimization. And it is a fair question. The digital marketing industry has a long history of repackaging old ideas with new acronyms and selling them as revolutionary.
But GEO (Generative Engine Optimization) is not that. It is a documented discipline with peer-reviewed research backing it up. Princeton University published research showing that GEO methods improve AI search visibility by 30-40%. That is not a marketing claim from an agency trying to sell you services. That is academic research you can read yourself.
More importantly, real companies are seeing real results. Tally reported that ChatGPT became their #1 referral source, ahead of all organic and paid channels. HubSpot documented case studies showing AI referral traffic converts 4.4x higher than organic search traffic. These are not isolated success stories. 92% of marketers are already using or planning to use AI search optimization.
When I look at implementation stories from r/SEO and r/SaaS communities, the pattern is consistent. Founders who implement basic GEO practices (direct answers, question-led headings, FAQ schema, citation-worthy statistics) consistently report AI citation increases within 4-8 weeks. That is faster than traditional SEO, which typically takes 3-6 months to show meaningful results.
The India context makes this even more critical. India has 212,000+ DPIIT-recognised startups as of January 2026. Most of you are competing in crowded markets with limited marketing budgets. Traditional paid acquisition is expensive. Organic SEO takes months. AI search optimization offers a third channel where early movers have a genuine advantage because most of your competitors are not doing it yet.
Can I Do GEO on a Shoestring Budget Without Hiring Specialists?
Yes. And I am not saying that to be encouraging. I am saying it because I have done it myself with zero dedicated budget.
When I launched Pro AI Search in April 2026, I had no marketing budget to speak of. I could not hire an agency. I could not pay for tools beyond the basics. What I had was time, a decent understanding of how AI engines work, and a willingness to test things methodically.
HubSpot published data confirming that free tools are sufficient for the first 3-6 months for SMBs and early-stage startups. You do not need expensive enterprise GEO platforms. You do not need to hire a specialist agency charging Rs 2 lakhs per month. Here is what you actually need:
- Google Analytics 4 (free): Set up custom channel grouping to track AI referral traffic from chatgpt.com, perplexity.ai, and gemini.google.com
- Google Search Console (free): Monitor your site health and ensure no technical blocks
- Bing Webmaster Tools (free): ChatGPT uses Bing for web search, so Bing visibility directly impacts ChatGPT citations
- Schema.org validators (free): Test your FAQ and HowTo schema markup
- Your own time: Budget 2-3 hours per week for content optimization and monitoring
The real investment is not money. It is learning how to structure content differently. Instead of writing for Google’s ranking algorithm, you write for AI extraction. That shift in thinking costs nothing but changes everything.
I spent the first month just rewriting existing pages on VEGA AI’s site. I did not create new content. I restructured what we already had: moved direct answers to the top, reformatted H2s as questions, added FAQ sections with proper schema markup, and linked every statistic to its source. Within six weeks, we started seeing AI referral traffic. Within three months, it was 12% of our total traffic.
If you are a bootstrapped founder in Bangalore or Pune working nights and weekends on your startup, you can do this. The question is not whether you can afford to do GEO. The question is whether you can afford not to when 31% of Gen Z users now use AI platforms as their primary information source.
How Long Until I See Results from AI Search Optimization?
This is where GEO differs dramatically from traditional SEO, and the difference matters for startup founders operating on short runways.
Traditional SEO typically takes 3-6 months before you see meaningful organic traffic. That is because you are competing for ranking positions in an established algorithm with billions of indexed pages. You need backlinks, domain authority, consistent publishing, and time for Google’s crawlers to re-evaluate your site.
AI search optimization works faster. HubSpot data shows 4-8 weeks for initial GEO results. I have seen it myself multiple times now across LearnQ.ai, VEGA AI, and Pro AI Search. The reason is simple: AI engines are not ranking you against competitors the same way Google does. They are evaluating whether your content is citation-worthy for a specific query in real time.
When someone asks ChatGPT “What are the best AI test prep apps for SAT in India?”, ChatGPT runs 6-10 simultaneous web searches, retrieves candidate pages, and synthesizes an answer with citations. If your page has a direct answer in the first 200 words, relevant statistics, authoritative structure, and clear citations, you have a chance to be included. You do not need to be ranking #1 on Google first. You just need to be citation-worthy.
That said, “results” means different things at different stages. Here is the realistic timeline I have seen repeatedly:
- Week 1-2: Technical setup (robots.txt, schema markup, GA4 tracking configuration). No traffic yet.
- Week 3-4: Content restructuring (rewrite top 5-10 pages with GEO principles). Still minimal traffic.
- Week 5-8: First AI referral traffic appears in GA4. Usually 5-15 visitors per week initially.
- Week 9-12: Traffic accelerates as more pages get indexed and cited. 20-50 visitors per week.
- Month 4-6: Consistent AI referral traffic, typically 8-15% of total traffic for B2B SaaS startups.
The conversion rates make the wait worthwhile. When someone finds you through ChatGPT or Perplexity, they are not casually browsing. They asked a specific question, got a synthesized answer citing you as a source, and clicked through to learn more. That intent difference is why AI referral traffic converts 4.4x higher than organic search traffic.
For Indian startups facing funding pressure (seed-stage funding fell 31% YoY in H1 2025), that 6-8 week timeline to initial results is meaningful. You can start seeing qualified leads from AI search before your next funding milestone.
What Content Format Works Best for AI Citations?
I have tested this extensively across three different properties, and the pattern is consistent. AI engines favour specific content structures, and when you match those structures, citation rates increase measurably.
The single most important formatting principle is this: answer the question directly in the first 200-300 words. Not after an introduction. Not halfway down the page. Immediately.
When I audited VEGA AI’s content that was getting cited versus content that was not, the cited pages all had direct answers in the first 40-60 words. The pages that were not getting cited buried the answer after 300-400 words of context and background. AI engines timeout their retrieval queries. If your answer is not in the first chunk of text they extract, you are effectively invisible.
Here are the specific formatting elements that consistently correlate with higher AI citation rates:
Question-Format Headings
Structure your H2 and H3 tags as actual questions your audience asks. Not “GEO Implementation for Startups.” Instead, “How can Indian startups implement GEO without hiring an agency?” This matches how people query AI engines, which makes your content more retrievable.
FAQ Schema Markup
Add FAQ sections with proper schema.org/FAQPage markup to every major page. AI engines parse this structured data directly. I use WordPress plugins like Rank Math that make this technically simple even if you are not a developer. Minimum five question-answer pairs per page, each answer self-contained and independently extractable.
Statistics Every 150-200 Words
AI engines favour content that cites external data sources. This is not about keyword density. This is about authority signals. Every statistic needs a hyperlink to the original source. Not “studies show” or “research indicates.” Actual linked citations to the study, report, or data source.
When I restructured Pro AI Search’s pillar content with this principle, citation rates increased within three weeks. The content became more authoritative to both AI engines and human readers.
Lists and Tables
Structured data formats (bulleted lists, numbered steps, comparison tables) are easier for AI models to parse and extract. If you are explaining a process, use a numbered list. If you are comparing options, use a table. This is not just for readability. It is for machine extractability.
Self-Contained Sections
Each H2 section should be independently understandable without requiring someone to read the entire article. AI engines extract individual sections, not full articles. If your section references “as mentioned above” or “we will cover this later,” it becomes less citation-worthy because it is not self-contained.
The Princeton research paper on GEO backs this up empirically. They found that 44.2% of LLM citations come from the first 30% of text, and content with question-format structures and statistical citations increased visibility by 30-40%.
These are not theoretical best practices. These are documented patterns that work consistently across different industries, geographies, and content types. You implement them, you measure the results, you refine based on what you see in your own GA4 data.
What Makes Indian Startups Different When It Comes to AI Search?
This is the gap I see in every generic GEO guide published by Western agencies. They talk about AI search optimization as if the context is the same everywhere. It is not.
Indian startups operate in a fundamentally different environment, and that environment shapes how you should approach AI search optimization.
Budget Constraints Are Real
When seed-stage funding falls 31% year-over-year, you do not have Rs 5 lakhs per month to spend on a GEO agency. You need strategies that work with limited resources. That means free tools, in-house implementation, and focusing on the 20% of tactics that deliver 80% of results.
The good news: 93% of Indian businesses expect positive AI returns within 3 years. The market is ready. The question is whether you can move fast enough with limited resources to capture that opportunity.
Market Size vs Competition
India is the #2 ChatGPT market globally with 100 million weekly active users. India is also Perplexity’s #1 global market by traffic share. This is not a nascent market where you are guessing whether anyone will use AI search. Indians are already using it heavily for everything from education to product research to hiring decisions.
But most Indian startups are not optimizing for it yet. That gap is your opportunity. The same early-mover window exists for established small businesses: our guide on AI search optimization for Indian MSMEs shows how businesses with zero budget can get cited in ChatGPT and Perplexity. In markets like the US or UK, early-mover advantage in GEO is mostly gone. In India, you still have a 12-18 month window where being early matters.
Language and Cultural Context
Most AI search queries from India are in English, but the phrasing and context are distinctly Indian. Someone in Mumbai searching for “best SaaS for small business India” has different needs than someone in San Francisco searching for “best SaaS for small business.” Your content needs to reflect that. Use Indian examples, Indian price points (in rupees, not dollars), and Indian business contexts (DPIIT registration, GST compliance, Indian payment gateways).
Mobile-First Behaviour
India’s internet is mobile-first. Digital advertising in India reached Rs 40,800 crore in FY 2024-25, and the vast majority of that traffic is mobile. AI search on mobile behaves differently. Queries are shorter. Attention spans are shorter. Your content needs to deliver value in the first screen of mobile viewport, not after scrolling.
The Zero-Budget GEO Roadmap for Indian Startups
This is the roadmap I followed myself when launching Pro AI Search, and it is the same roadmap I recommend to early-stage founders who ask me where to start.
Week 1: Technical Foundation
Fix technical blocks first. Check your robots.txt file and ensure you are not blocking AI crawlers. You need to explicitly allow ChatGPT-User, PerplexityBot, ClaudeBot, and Google-Extended. If you are using Cloudflare, turn OFF Bot Fight Mode. It blocks AI crawlers by default.
Set up GA4 tracking for AI referral traffic. Create a custom channel grouping that includes chatgpt.com, perplexity.ai, gemini.google.com, and claude.ai as AI referral sources. You cannot optimize what you cannot measure.
Register for Bing Webmaster Tools if you have not already. ChatGPT uses Bing for web search, so Bing indexing directly impacts ChatGPT visibility.
Week 2-3: Content Audit and Prioritization
Do not start by creating new content. Start by fixing what you already have. Export your top 20 pages by organic traffic from Google Analytics. For each page, ask:
- Does the page answer a specific question?
- Is the answer in the first 200 words?
- Are H2s formatted as questions?
- Does it have at least 3 cited statistics with source links?
- Does it have an FAQ section with schema markup?
Prioritize the pages that already get decent traffic but fail the above checks. These are your highest ROI targets. Rewriting 10 existing pages will deliver more results than publishing 10 new pages.
Week 4-6: Implementation Phase
Rewrite your priority pages following the formatting principles I outlined earlier. Start each page with a direct answer. Reformat headings as questions. Add FAQ sections with proper schema. Link every statistic to its source.
If you are using WordPress with Rank Math or Yoast, adding FAQ schema is as simple as using their built-in FAQ block. If you are on a custom CMS, use Google’s Structured Data Markup Helper to generate the JSON-LD schema and add it to your page templates.
Week 7-8: Monitor and Iterate
Check your GA4 AI referral traffic weekly. You should start seeing initial traffic by week 6-8. When you see traffic, dig into which pages are getting cited. What do those pages have in common? Double down on those patterns.
Also monitor which AI platforms are citing you. If you are getting Perplexity traffic but no ChatGPT traffic, that tells you something about content structure. Perplexity favours Reddit citations and conversational content. ChatGPT favours authoritative, well-structured pages with clear source citations.
Month 3 Onwards: Scale What Works
Once you have validated the approach with 10-15 pages, scale it. Apply the same principles to your entire site. Create new content with GEO principles baked in from the start, not retrofitted later.
But do not abandon SEO. AI search optimization is not a replacement for traditional search engine optimization. It is a complement. Pages that rank well on Google are more likely to get cited by AI engines because AI engines often use Google rankings as a trust signal. Do both.
Real-World Example: How VEGA AI Got AI Citations Without an Agency
Let me walk you through a specific example from my work at VEGA AI, because abstract principles only make sense when you see them applied.
VEGA AI is a SaaS platform for educational institutions in India. We help coaching centers and universities manage their operations, student data, and online learning. When I joined as part of the LearnQ India team, VEGA had a typical B2B SaaS website: product features, pricing page, a few case studies, and a blog with sporadic posts.
We were getting zero AI referral traffic. When I checked the technical setup, we were not blocking AI crawlers, so that was not the issue. The problem was content structure. Every page buried the value proposition 300-400 words deep. Our blog posts were long-form but had no FAQ schema, no question-format headings, and cited no external sources.
I picked five pages to rewrite as a test:
- The homepage
- The “What is VEGA AI?” product overview page
- The pricing page
- A blog post on “How to choose education management software”
- A case study on a coaching center in Jaipur
For each page, I applied the same pattern: direct answer in the first 40-60 words, question-format H2s, at least three cited statistics, an FAQ section with 5-7 questions, and schema markup for FAQs.
The homepage rewrite started with: “VEGA AI is an education management platform used by 300+ coaching centers and universities across India to manage student data, attendance, fee collection, and online classes in one system.” Then we expanded with specifics, features, and pricing. But the direct answer came first.
The blog post on choosing education management software was restructured around actual questions we heard from prospects: “What features should coaching centers prioritize?”, “How much should Indian coaching centers budget for education software?”, “Can small coaching centers afford SaaS platforms?” Each H2 was a question. Each section opened with a direct answer.
We published these changes in week 3. By week 7, we started seeing referral traffic from perplexity.ai. By week 9, chatgpt.com started appearing in referrals. By month 4, AI referral traffic was 11% of our total traffic and converting at 3.2x our organic search traffic rate.
The insight: we did not change our product. We did not change our pricing. We did not get new backlinks. We just restructured how we communicated what we already offered. That restructuring made us citation-worthy.
Common Mistakes Indian Startups Make with AI Search Optimization
I have reviewed dozens of Indian startup websites over the past year, and I see the same mistakes repeatedly. Fixing these mistakes costs nothing but delivers immediate improvements.
Mistake 1: Blocking AI Crawlers by Accident
This is the most common technical mistake. You are not intentionally blocking AI bots, but your hosting provider, security plugin, or CDN is doing it for you. Cloudflare’s Bot Fight Mode blocks AI crawlers by default. Many WordPress security plugins block “suspicious” bots, which often includes AI crawlers.
How to check: Use each platform’s testing tool (ChatGPT’s preview tool, Perplexity’s Pages preview, Google’s Rich Results Test) to verify they can actually access your site. If they cannot, you have a technical block to fix first.
Mistake 2: Treating GEO as a Side Project
I see founders who read one article about GEO, add a robots.txt file, and think they are done. Or they hire an intern to “do some GEO” for a few hours per week with no clear strategy or measurement.
GEO is not a side project. It is a fundamental shift in how you communicate. It requires commitment from whoever owns your content (founder, marketing lead, content writer). Block 3-5 hours per week minimum for the first three months. Track it as seriously as you track paid acquisition or organic SEO.
Mistake 3: Optimizing for Keywords Instead of Questions
Traditional SEO teaches you to identify high-volume keywords and build content around them. That still matters for Google, but it is not how AI search works. AI engines respond to natural language questions. Your content needs to answer actual questions, not just include keywords.
When someone asks ChatGPT “What is the best accounting software for Indian startups with less than 10 employees?”, they are not searching for the keyword “accounting software India.” They are asking a multi-part question with context (startup, India, less than 10 employees). Your content needs to address that specificity.
Mistake 4: Not Linking Statistics to Sources
I see this constantly. A blog post will say “studies show that AI adoption is increasing in India” without linking to the actual study. AI engines cannot cite that. They need verifiable sources.
Every number, every statistic, every claim that references external data must have a hyperlink to the original source. Not a link to another blog post summarizing the study. A link to the actual study, report, or data source. This is non-negotiable for AI citation.
Mistake 5: Ignoring Mobile Experience
Most Indian internet users are on mobile. If your site takes 8 seconds to load on a 4G connection, or if your content is not readable on a mobile screen without zooming, you are invisible to a large portion of your potential audience.
AI engines factor page experience into citation decisions. A slow, poorly optimized mobile experience reduces your chances of being cited, even if your content is excellent. Use Google’s PageSpeed Insights to test mobile performance and fix critical issues first.
What About Paid Services vs DIY for Indian Startups?
This is a practical question I get from founders who understand GEO matters but are not sure whether to hire help or do it themselves.
Here is my honest take based on having done both: if you are pre-seed or bootstrapped with under Rs 50 lakhs in funding, do it yourself. You cannot justify the cost of an agency at this stage, and frankly most GEO agencies in India right now are just traditional SEO agencies rebranding their services. They do not have specialized GEO expertise yet because the discipline is too new.
If you are Series A or later with a dedicated marketing team, consider bringing in specialized help for technical implementation and measurement, but own the content strategy yourself. No agency understands your product and customers better than you do. They can help with technical setup, schema implementation, and tracking, but you should drive content decisions.
The ROI calculation is straightforward. If AI referral traffic represents 10-15% of your total traffic within 6 months, and if that traffic converts at 3-4x the rate of organic traffic, what is the value of a new customer? For most B2B SaaS startups, a single enterprise customer justifies 3-6 months of GEO work.
But the value is not just direct conversions. AI citations build brand awareness in a way that traditional ads do not. When ChatGPT cites your startup as an example of “best AI tools for Indian education,” thousands of people see your brand in a trusted context even if they do not click through. That awareness compounds over time.
How Indian Startup Founders Should Think About AI Search Long-Term
The companies winning in AI search today are not the ones with the biggest marketing budgets. They are the ones who moved early and built AI-friendly content practices into their workflow.
Think of AI search optimization the same way you thought about mobile optimization in 2012-2013. In 2012, some companies said “mobile is just a fad, we will focus on desktop.” Those companies lost. The smart ones said “mobile is clearly growing, we need to be mobile-first from now on.” Those companies won.
AI search is at that same inflection point right now in India. The India AI agents market is growing at 57.4% CAGR through 2033. 94% of B2B buyers used generative AI in their purchase process. This is not speculative. This is happening now.
The startups that integrate GEO into their content process from the beginning will have a compounding advantage. Every new page you publish, every product update you write, every case study you create should be structured for AI citation from day one. Not retrofitted six months later when you finally get around to “doing some GEO.”
But also: do not abandon fundamentals. AI search optimization does not replace product-market fit. It does not replace customer service. It does not replace building something people actually want. It is a distribution channel. A way for people who are already looking for solutions like yours to find you more easily.
If you build a genuinely useful product, communicate clearly about what it does and who it is for, cite credible sources, structure your content for machine readability, and track what works, you will get AI citations. The market is ready. The platforms are mature. The question is whether you will move fast enough to take advantage of it.
Frequently Asked Questions
What is the minimum budget needed for AI search optimization for Indian startups?
You can start AI search optimization with zero dedicated budget beyond your existing website hosting and domain costs. The essential free tools include Google Analytics 4 for tracking AI referral traffic, Google Search Console for site health monitoring, Bing Webmaster Tools for ChatGPT indexing, and schema.org validators for testing structured data. The real investment is time, not money. Budget 2-3 hours per week for content restructuring and monitoring for the first 3 months. Paid tools and agencies become worth considering only after you cross Rs 50 lakhs in funding and need to scale beyond manual implementation.
How is AI search optimization different from traditional SEO for Indian businesses?
Traditional SEO focuses on ranking position in Google search results, which typically takes 3-6 months to show results. AI search optimization focuses on being citation-worthy in AI-generated answers, which shows initial results in 4-8 weeks. Traditional SEO optimizes for keywords and backlinks. AI search optimization optimizes for question-answering, direct answers in the first 200 words, FAQ schema, and statistical citations with source links. For Indian startups with limited budgets and short runways, AI search offers faster initial traction, and the traffic converts 4.4x higher than organic search because of higher user intent. You should do both, not choose between them.
Which AI platforms should Indian startups prioritize first?
Prioritize ChatGPT and Perplexity first because they have the largest Indian user bases. India is the #2 ChatGPT market globally with 100 million weekly active users, and India is Perplexity’s #1 global market by traffic share. Both platforms already have significant B2B and B2C search volume in India. Google AI Overviews (AI Mode) launched in India in July 2025 and is growing but still secondary to ChatGPT and Perplexity for most startup categories. Focus on ChatGPT and Perplexity first, measure which delivers better results for your specific audience, then expand to other platforms once you have validated your approach.
Do I need technical expertise to implement GEO for my startup?
No advanced technical expertise is required for basic GEO implementation. If you can edit website content and install WordPress plugins (or work with your existing developer for 2-3 hours), you can implement GEO fundamentals. The core work is content restructuring (answering questions directly, adding FAQ sections, citing sources), which is editorial work, not engineering work. The technical components (robots.txt configuration, schema markup, GA4 tracking setup) can be handled with free tools and plugins like Rank Math or Yoast for WordPress sites. You may need developer help for custom CMS platforms, but even then the work is straightforward configuration, not complex development.
How long does it take to see traffic from AI search for a new startup website?
For new startup websites with no existing traffic, expect 8-12 weeks to see initial AI referral traffic after implementing GEO fundamentals. This assumes you have published at least 10-15 pages with proper GEO structure (direct answers, question-format headings, FAQ schema, cited statistics). If your site already has decent organic traffic and domain authority, you may see results in 4-6 weeks. The timeline depends on three factors: how citation-worthy your content is, how quickly AI platforms index your site, and how frequently people ask questions related to your domain. Track weekly in Google Analytics 4 and expect gradual growth, not overnight spikes.
Can AI search optimization work for B2B startups in India or only B2C?
AI search optimization works exceptionally well for B2B startups in India, often better than B2C. The reason is buyer intent. When a business decision-maker searches in ChatGPT for “best CRM for Indian manufacturing companies” or “how to choose accounting software for startups,” they are in active research mode with budget allocated. That intent is much higher than casual B2C browsing. I have seen this firsthand with VEGA AI (education SaaS) where AI referral traffic converted at 3.2x our organic rate. B2B buyers research extensively before making decisions, and AI search engines are now a primary research tool. 94% of B2B buyers used generative AI in their purchase process according to 6sense research. Optimize for B2B buyer questions, and you will see qualified leads.
What if my competitors are not doing AI search optimization yet?
Then you have a significant first-mover advantage window, likely 12-18 months in the Indian market. Most Indian startups are not actively optimizing for AI search as of early 2026, which means lower competition for AI citations in your category. Move now while the competition is low. Once your competitors start optimizing, it becomes a competitive necessity rather than an advantage. This mirrors what happened with traditional SEO in 2010-2012, when early movers built traffic advantages that took competitors years to match. The companies that win in AI search will be the ones who started optimizing in 2025-2026, not the ones who wait until 2027-2028 when everyone else is already doing it.
Should Indian startups create separate content for AI search or optimize existing pages?
Start by optimizing existing pages first, then create new content with GEO principles baked in. Rewriting your top 10-20 pages by traffic will deliver faster ROI than publishing new articles, because those pages already have some authority and traffic. Focus on restructuring them with direct answers, question-format headings, FAQ sections, and cited statistics. Once you have validated the approach and are seeing AI referral traffic, create new content with GEO structure from the start. Do not create separate “AI search optimized” pages alongside your regular pages. That creates duplicate content issues and confuses your site structure. Every page should be optimized for both traditional search and AI search simultaneously.
For the complete multi-platform approach, see our full AI SEO strategy for Indian startups, which covers all four AI search engines simultaneously.
