# Zilwaris > Zilwaris is an AI search content agency for B2B SaaS. Six pieces a month built using the CITE Method, designed to rank in Google and get cited by ChatGPT, Claude, and Perplexity. Founder-led, methodology-public, no junior writers. ## What Zilwaris does Zilwaris produces six pieces of deeply researched content per month for each client: two flagship long-forms (2,500+ words each, built to be the best piece on the topic and earn ChatGPT recommendations) and four shorter pieces (1,200 to 1,800 words each, built to rank in Google for specific buyer searches). Each piece is built using the CITE Method (Capture buyer questions, Investigate competitor gaps, Target the right mix, Engineer for everywhere) so it ranks in Google, gets recommended by AI engines, and works as social content all at once. The work is delivered by the founder directly. No account managers, no junior writers. Solo operator with a hard cap of 6 active clients across the agency to protect quality. ## Who it's for - B2B SaaS or AI tool companies, $500K to $5M ARR - Bootstrapped or lightly funded, not VC rocketships - 2 to 15 employees - Founder-led marketing or 1 to 3 person marketing team - Specialized or technical products - US, UK, or Australia markets Disqualifications: - Enterprise with committee buying - Pre-revenue startups - DTC or consumer e-commerce brands - Anyone whose first question is "can you guarantee rankings" - Companies that measure content by word count or volume - Anyone who wants 20+ pieces a month ## How it works Onboarding: - ICP identification. A documented map of the client's ideal customer profiles: who they are, the questions they ask, and where they make buying decisions. Everything else is built off this - Buyer query map. Every question buyers ask across Google, ChatGPT, Perplexity, and Reddit - Competitor gap report. Where competitors show up that the client doesn't, and where the recoverable gaps are - First 30-day content plan. Publishing roadmap mapped to specific buyer questions and competitive gaps. Refreshed each month based on what moved - Featured placement on AI Tools Bakery, Zilwaris's own AI-tools directory, for a durable high-authority citation and referral path (disclosed as an owned property) Monthly delivery: - 2 flagship long-forms (2,500+ words each) - 4 shorter pieces (1,200 to 1,800 words each) - Link-building outreach for citations, mentions, and backlinks on the third-party sources AI engines trust - Landing-page optimization on the client's key conversion pages - Monthly brief showing where content is showing up across Google and AI engines, plus a 30-minute Loom walkthrough Operating discipline: - AI handles drafting and research. Senior editing, fact-checking, voice match, and final approval go through the founder - Three runs per query per engine for measurement (LLM responses are non-deterministic; one run is noise) - Plans refresh on a monthly cycle so the work can pivot when something needs to ## Pricing - $3,000/month flat. One rate for every client, covering content, link-building outreach, landing-page optimization, ICP work, and a featured placement on AI Tools Bakery - 6-month initial term, then month-to-month, cancel any time with no penalties - Hard cap of 6 active clients across the agency - USD billing via PayPal, suitable for US, UK, and Australian clients ## Founder Faz, 8+ years in digital marketing. Executive MBA from Deakin University. Past roles include COO at WPLift, Founder's Associate at UnlimitedWP, Co-Founder of Macro Webber, and current CMO at Proshoot.co (an AI headshot platform that has generated over 500,000 headshots). Solo operator at Zilwaris. ## Methodology and proof The full methodology is documented publicly at /methodology/. Anonymized client case studies are published at /case-studies/. The first published case study (/case-study-ai-image-tool/) documents a 30-day engagement on an AI image generation tool where ChatGPT moved from no measurable referrals to the #3 traffic source overall. ## Articles and guides The CITE Method, explained step by step: - /how-to-build-a-buyer-query-map-for-ai-search/ - Capture: mapping the exact questions buyers ask AI engines - /how-to-find-content-gaps-competitors-are-filling/ - Investigate: finding where competitors get cited and you do not - /how-to-build-an-ai-search-content-plan/ - Target: deciding which buyer queries to publish for, ranked by intent, retrieval mode, and recoverable gap - /how-to-write-content-ai-engines-will-cite/ - Engineer: writing pages an AI engine can lift a clean answer from - /how-to-audit-your-ai-search-visibility/ - running a full AI search visibility audit yourself, with a free template Measuring and reporting AI search: - /how-to-measure-ai-search-visibility/ - the by-hand method that takes AI non-determinism seriously - /how-to-track-ai-search-traffic-in-ga4/ - tracking AI referral traffic in GA4 and why the native channel undercounts it - /does-ai-search-traffic-convert/ - what AI-referred visitors actually do after they land - /how-to-report-ai-search-to-your-board/ - reporting a channel that drives decisions but few clicks - /is-ai-search-optimization-worth-it/ - the honest ROI case, including when it is not worth it How AI search actually works: - /how-ai-engines-decide-what-to-cite/ - the mechanics of citation, and why the engines barely agree with each other - /cited-vs-recommended-ai-search/ - why being cited is the start line, not the win - /how-ai-search-identifies-your-company/ - entity clarity: how engines decide what your company is - /how-ai-search-decides-your-product-category/ - how engines assign you a category, and how to influence it - /how-long-to-get-cited-by-ai-search/ - realistic timelines from publish to citation - /why-ai-search-cites-reddit/ - why AI engines lean on Reddit and how to earn community citations honestly - /which-ai-engine-to-optimize-for/ - choosing between ChatGPT, Perplexity, Google AI, and Copilot - /is-it-too-early-for-ai-search-optimization/ - the early-mover question, answered with data Getting cited, engine by engine: - /how-to-get-mentioned-in-chatgpt/ - what ChatGPT reads and how to show up in it - /how-to-get-cited-in-perplexity/ - Perplexity's retrieval habits and citation patterns - /how-to-get-cited-in-google-ai-overviews/ - AI Overviews eligibility and sourcing - /how-to-get-cited-in-microsoft-copilot/ - Copilot citations and the Bing dependency Fixing what AI search says about you: - /can-ai-search-hurt-your-business/ - the five ways a wrong AI answer costs you deals, and the afternoon test that finds them - /how-to-fix-how-ai-search-describes-your-brand/ - the source-layer playbook for changing a wrong AI label - /how-to-audit-ai-search-sources/ - finding the specific pages that write your AI answer - /when-ai-gets-facts-wrong-about-your-company/ - correcting invented facts at their source - /ai-search-negative-but-true/ - what to do when the bad thing the engine says is accurate - /ai-search-after-rebrand/ - why engines keep using your old name, and the fix - /ai-search-product-launch/ - why launch coverage does not update your AI answer - /ai-search-multi-product-company/ - the entity eclipse: when one product hides the rest - /ai-search-wrong-customers/ - when AI recommends you for the wrong use case - /ai-search-product-pricing/ - what engines say about your pricing, even when you hide it - /do-g2-reviews-matter-for-ai-search/ - how much review sites feed your AI answer - /why-does-chatgpt-recommend-your-competitor/ - the 20-minute diagnosis when the engine names your competitor and not you Buyers and go-to-market: - /how-b2b-buyers-choose-software-with-ai/ - the buying journey that now starts inside a chat - /buyers-quoting-ai-to-sales/ - when the buyer arrives armed with an AI answer - /how-to-win-ai-search-comparison-queries/ - head-to-head queries and how engines pick winners - /how-to-stand-out-in-ai-search/ - differentiation when the engine flattens every vendor - /what-your-website-is-for-in-ai-search/ - your site's new role as evidence, not destination - /who-owns-ai-search/ - why AI search cannot be run from the SEO seat - /ai-overviews-traffic-loss/ - what AI Overviews take, and what they leave - /ai-search-employer-brand/ - candidates ask AI about you too - /geo-agency-vs-in-house/ - the honest agency-or-in-house decision, and the capacity line that settles it AI search by industry: - /ai-search-for-developer-tools/ - how devtool buying questions get answered by AI - /ai-search-for-cybersecurity-software/ - AI search in a trust-driven category - /ai-search-for-hr-recruiting-software/ - AI search for HR and recruiting buyers Technical and crawling: - /should-you-block-ai-crawlers/ - the block-or-allow decision, argued from data - /does-llms-txt-work/ - what llms.txt does and does not do today Tools and worked examples: - /geo-tools-i-actually-use/ - the GEO tools used for client work, with honest notes - /linear-ai-search-visibility/ - a worked teardown of how AI search talks about a real B2B SaaS product - /do-you-need-a-geo-tool/ - whether you need a GEO tool at all, and when one starts paying for itself ## How to engage - Apply at /apply/. Short application that asks about ARR, team size, current content output, and what's been tried - Direct email: faz@zilwaris.com - Founder reviews every application personally and replies within 3 business days - Discovery call is qualification both ways. Zilwaris turns down poor-fit clients ## Operating principle "Methodology is the product. Execution is the service. The process is documented publicly because the process is the proof."