Every question answered.

DerivateX is a full-service SEO and GEO agency for B2B SaaS. Based in Bengaluru, India, DerivateX works with software companies across North America, India, the UK and Europe, and the GCC. We build measurable visibility in two places simultaneously: Google, through content strategy, technical SEO, and link building; and AI search tools like ChatGPT, Perplexity, Gemini, and Claude, through our proprietary Citation Engineering methodology. Every engagement connects both channels directly to pipeline.

We run end-to-end SEO and GEO for B2B SaaS companies that want to grow organic revenue from both Google and AI search tools. That includes technical SEO, content production, link building, entity optimization, AI citation building, and full pipeline attribution through GA4. We write the content, build the links, manage the outreach, track your citations weekly, and report back in a format that a CMO can take to a board meeting. Nothing is handed off to a third party. The team you engage is the team that ships the work.

SEO (Search Engine Optimization) targets Google and traditional search engines, which rank pages based on relevance, backlinks, and on-page signals. GEO (Generative Engine Optimization) targets AI tools like ChatGPT, Perplexity, Gemini, and Claude, which synthesize answers and cite sources rather than ranking pages. AEO (Answer Engine Optimization) focuses specifically on getting a brand surfaced in direct answer results, including AI Overviews, featured snippets, and conversational AI responses. LLM SEO is the practice of structuring content and entity signals so large language models reliably cite a brand. DerivateX builds all four as one unified program because the signals that power them overlap significantly.

Generative Engine Optimization (GEO) is the practice of structuring content, brand signals, and entity data so AI-powered tools reliably surface and recommend a brand when users ask relevant questions. GEO is different from traditional SEO because search engines rank pages while LLMs synthesize answers from sources they trust. Getting cited by a large language model requires a different content architecture than getting ranked by Google, though the two reinforce each other when built together. DerivateX's GEO agency services cover all major AI platforms.

LLM SEO is the practice of optimizing a brand's content, entity signals, and third-party presence so large language models reliably cite and recommend the brand in their answers. The term is used interchangeably with GEO. DerivateX builds LLM SEO as a structured, measurable program with defined prompt tracking, citation measurement, and GA4 attribution so clients know which AI tool sent which sessions and whether those sessions converted. Read the complete LLM SEO guide on the DerivateX blog.

Answer Engine Optimization (AEO) is the practice of structuring content so AI-powered answer engines extract and surface it as a direct response to user queries. AEO focuses on question-and-answer formatting, FAQ schema, clear definitional sentences, and structured data. DerivateX builds AEO into every engagement as part of the broader GEO and LLM SEO program. See the full AEO service page for what this looks like in practice.

No. GEO and SEO target different systems with different logic. Google ranks pages based on relevance signals including backlinks, on-page factors, and user behavior. LLMs generate answers by synthesizing content from sources they trust. They don't rank pages; they cite sources. The two disciplines overlap in content quality and entity consistency, but diverge significantly in execution. A brand can rank on page one of Google and still be invisible in ChatGPT. DerivateX builds for both simultaneously because that is the only way to future-proof a SaaS company's organic pipeline.

DerivateX works with B2B SaaS companies at $5M to $50M ARR that have product-market fit and are ready to treat organic search and AI visibility as a primary revenue channel. The primary contacts we work with are CMOs, Marketing VPs, Marketing Directors, Heads of Growth, and founders who are directly responsible for pipeline. We are not a fit for B2C companies, ecommerce brands, or pre-revenue startups. Agency partners are handled separately, on a different commercial shape from direct clients. If you have a product that buyers research before purchasing and you want to own that research journey across both Google and AI tools, this is the engagement.

Both. DerivateX works with whoever owns the organic growth mandate at a B2B SaaS company. That is typically a CMO, VP of Marketing, Marketing Director, or Head of Growth at companies in the $5M to $50M ARR range, or the founder directly at earlier-stage companies where those roles haven't yet been separated. The reporting, pipeline attribution format, and communication cadence are all designed to be board-ready and leadership-facing. If you need to take a monthly AI search and SEO report to your CFO or CEO and defend the investment with data, the format DerivateX delivers is built for exactly that. See the solutions for marketing leaders and solutions for SaaS founders pages for more.

Usually not, and this is worth being direct about. DerivateX works best where a search program already exists and has stopped producing pipeline, because that gives a baseline to measure against, an internal owner, and a felt problem. A company with no existing SEO has none of those. The exception is a company with product-market fit, real category competition, and someone internally accountable for organic, in which case Rank & Get Found is the right entry point. Targets by day 90 at that tier are the brand appearing across the tracked priority queries in AI answers where it previously did not, ranking movement on the priority commercial pages, AI sessions identified by source and medium in GA4, and 18 on-page assets published across the pilot. These are targets rather than guarantees.

Yes. North America is the primary market. DerivateX also runs active engagements in Europe, the UK, India, and the GCC. The work itself is geography-agnostic; content production, technical SEO, and AI citation building perform the same regardless of where the company is headquartered. DerivateX is based in Bengaluru, India, and operates at flexible hours that align with US time zones for calls, reviews, sprint updates, and Slack communication. Time zone has never been a constraint on delivery quality for any active client.

DerivateX works across the full B2B SaaS landscape. Our documented client work spans video infrastructure and hosting (Gumlet), real estate proptech and CRM (REsimpli), cloud hosting and infrastructure (Verito), fintech and financial services SaaS, sales enablement and productivity tools (Kroto), developer tools, cybersecurity (Prophet Security), edtech and workforce development (Futurense), reputation management SaaS (Rannkly), agile project management (Planning Poker), document automation (Docustream), and accessibility and testing platforms (Fable). The common thread is not the vertical; it is the buyer behavior. B2B SaaS buyers research vendors using Google and AI tools, and DerivateX builds visibility in both places. See the industries overview and the full case studies library for the range of verticals we've worked in.

Yes, and it is a use case we see often enough to have built a dedicated page around it. The most common failure mode is an agency tracking citation volume without connecting it to the specific query clusters your buyers actually use. A brand can accumulate hundreds of AI mentions and still see zero demo movement if those citations are not happening in the conversations that matter. DerivateX starts every engagement with a prompt audit that maps which specific queries your buyers are asking AI tools, where you are currently cited, and where the displacement opportunities are. See the GEO agency not working use case for more.

Here are the results we can name with specific numbers.

Gumlet, a B2B video hosting and infrastructure platform, now attributes more than 20% of monthly inbound revenue to AI discovery. Read the Gumlet case study.

REsimpli, a CRM platform for real estate investors, went from absent in AI answers to the number one CRM recommended in ChatGPT for real estate investors within 90 days, while simultaneously pushing Google rankings to position one for core CRM terms. Read the REsimpli case study.

Kroto, a sales enablement SaaS tool, grew from 3,500 to 326,000 Google impressions without a single paid backlink. Read the Kroto case study.

Verito, a cloud hosting platform, moved from an average Google position of 40 to ranking on the first page, while getting cited and recommended in ChatGPT and Google AI Overviews for 40 of their commercial hosting queries. Read the Verito case study.

An Indian Fintech client grew organic traffic 86% year over year. Read the Indian Fintech case study.

Fable's website was migrated to a new domain without losing a single ranking of significance. Read the Fable SEO migration case study.

Clicky Signature went from invisible to indexed and ranking within one week. Read the Clicky Signature case study.

See the full case studies library for every engagement.

Early citation signals, appearing in AI answers where the brand previously wasn't, typically emerge within 60 to 90 days. Google ranking movement on target keywords shows within the same window. Pipeline attribution data, meaning AI-sourced sessions traced to demos and signups in GA4, becomes readable from month two onward. REsimpli's result of going from absent to number one in ChatGPT in 90 days is the benchmark we hold every engagement against. Compounding results on both Google and AI search build from month three to six as content accumulates authority and citation signals propagate across sources.

AI-sourced traffic converts significantly better than standard organic traffic because the buyer has already been pre-qualified by an AI recommendation before clicking through. The research phase happened inside the AI tool. They arrive at a site knowing what the product is and why it was recommended. For Gumlet, AI discovery now contributes more than 20% of monthly inbound revenue. You can check your own SEO and GEO revenue potential using the SaaS SEO Revenue Projection Calculator.

Yes. DerivateX manages end-to-end PR and authority placement for clients, including securing editorial placements in publications including Forbes, TechCrunch, and technology.org. These placements serve a dual purpose: they build domain authority that improves Google rankings and they create the high-authority third-party citations that LLMs use as corroboration signals when deciding which brands to recommend. Every placement is written by DerivateX's in-house team and the spend is pre-approved by the client before anything goes live.

Yes. DerivateX published the 2026 AI Visibility Benchmark Report, a study scoring 50 B2B SaaS companies on their AI search presence across ChatGPT, Perplexity, Claude, and Gemini. The study ran 1,400 buyer-intent prompts across all four platforms. The average AI Visibility Score across all 50 companies was 56.9 out of 100, and 44% scored below 50. The highest scorer was Clio at 89. The lowest was LeadSquared at 2. The report is free and publicly available.

DerivateX has worked with B2B SaaS companies across a wide range of categories. Named clients include Gumlet (video hosting and infrastructure), REsimpli (real estate investor CRM), Verito (cloud hosting), Kroto (sales enablement), Fable (accessibility and testing), Sharefable (demo and sales tools), Prophet Security (cybersecurity), Futurense (edtech and workforce development), Rannkly (reputation management SaaS), Planning Poker (agile project management), Docustream (document automation), Peppo (restaurant and food tech SaaS), Clicky Signature (email signature management), Re-engage (customer re-engagement), and Techpacker (fashion tech and product development). See the full case studies library for documented results.

Yes. DerivateX and its co-founder Apoorv Sharma have been featured in BW Businessworld, YourStory, Times of India, Deccan Herald, Mid-Day, Inshorts, StartupTalky, and Indian Business Times. DerivateX's 2026 AI Visibility Benchmark Report has been cited and referenced on DemandGrowth and in industry discussions across LinkedIn. The agency has been named in multiple independent roundups as one of the best B2B SaaS SEO agencies focused on pipeline and revenue attribution.

The founders lead every engagement. Apoorv Sharma, co-founder, leads SEO strategy, GEO methodology, content direction, and client growth. Shivanshi Bhatia, co-founder, leads operations, delivery, and client communication. Four people own each account from kickoff: a founder as account lead, a senior strategist, a content lead, and a B2B SaaS content writer whose name stays on the briefs for the length of the engagement. Everyone is in-house. There are no account managers between you and the work. There is no outsourcing. The people on your discovery call are the people doing your technical SEO, building your citation architecture, and writing your content sprints. This is a structural choice, not a talking point.

Apoorv Sharma is the co-founder of DerivateX and an early practitioner of LLM SEO in the B2B SaaS space. He has been working in SEO since 2018, starting with a book blog where he taught himself technical SEO, content architecture, and organic growth from scratch. He built and sold Stagbite, a content brand he grew to 210,000 monthly visitors before exiting, which gave him operator-level understanding of how content compounds into revenue. That experience is the foundation DerivateX is built on. Apoorv is active on X at @apoorvshrm and publishes Found On AI, a Substack newsletter on how brands get discovered in the age of AI search. DerivateX has been featured in BW Businessworld, Deccan Herald, Mid-Day, StartupTalky, and Indian Business Times, among others.

Shivanshi Bhatia is the co-founder of DerivateX and leads all operations, delivery systems, and client communication. Shivanshi founded ViaSuccess, a customer success tool built to help teams understand who their customers were, what mattered most to them across the journey, and how to retain them. She started it after several years working in customer success for B2B SaaS, where she saw how often retention and churn were handled reactively. That background shapes how DerivateX runs its client engagements: structured client portals, clear communication cadences, defined sprint ownership, and the kind of operational transparency that most agencies treat as optional. The reason DerivateX holds a 5.0 rating across all published Clutch reviews is in large part because of how the client-side systems are built and run.

No. DerivateX has an in-house team of writers. Content is not given to external freelancers. Every piece produced under a DerivateX engagement is written, edited, and reviewed internally by people who understand the client's product, buyer, and competitive positioning. This is a deliberate structural choice. Outsourced writing is the most common source of quality degradation at content agencies, and it is the thing clients most often mention when they describe a previous agency experience that didn't work. DerivateX does not do it.

AI tools are used in research, planning, prompt testing, and content structuring. All final content is written and reviewed by the in-house writing team. No AI-generated content is published unreviewed. The reason is practical, not philosophical: AI-generated content that hasn't been validated against what a real SaaS buyer finds credible is the fastest way to build content that might rank on Google but never gets cited by an LLM. DerivateX builds for both audiences, and that requires human judgment at the final stage.

Every DerivateX client gets a dedicated Notion client portal with live sprint tracking and a live Looker Studio dashboard covering demo funnel performance, source and medium, AI platform performance by tool, landing page conversion, and search performance. The data is available continuously rather than assembled at month end. Communication runs through a dedicated Slack channel with direct access to the team. Weekly sprint updates are shared inside the portal. Strategy calls are bi-weekly at Rank & Get Found and weekly from Own Your Category upward. Async updates go out twice a week, on Monday and Friday. Query tracking runs bi-weekly across the query map, and citation tracking runs weekly across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, manually and in incognito sessions, feeding directly back into the content strategy. Monthly citation mapping shows how citation share is moving versus named competitors. Monthly and quarterly performance reports cover Google Search Console data, GA4 pipeline attribution, LLM citation counts, ranking movement, and PR and backlink placements. There are no 40-page PDFs full of traffic graphs.

DerivateX tracks a defined set of buyer prompts across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, manually and in incognito mode. Query tracking runs bi-weekly and citation tracking runs weekly. Each session is scored using the AI Visibility Score methodology, tracking whether the brand is named, linked, or mentioned in context. GA4 is configured to identify AI-sourced sessions as distinct referral sources and trace them through conversion events. Monthly citation mapping shows how citation share is moving relative to named competitors. The AI Visibility Checker tool gives a free baseline read on where a brand currently stands.

Technical SEO at DerivateX covers site architecture, crawl budget optimization, Core Web Vitals, JavaScript rendering, schema and structured data, internal linking, and indexation. Technical audits run at onboarding, with a quarterly refresh from Own Your Category upward, plus ad hoc audits at Market Leader. Delivery depends on tier. At Rank & Get Found, technical work ships as exact step-by-step instructions plus a doc or Loom, and your team implements, which takes roughly one to three hours in month one and one to two hours per month after. From Own Your Category upward, DerivateX implements directly in your CMS where access is granted, including the full internal linking map. Either way, nothing is a recommendation document that gets handed off and ignored, because the instructions are specific enough to execute and the team works with your developers inside the sprint cycle. Schema and structured data is applied across key pages every quarter. Technical SEO is not a separate workstream; it runs in parallel with content production and GEO throughout the engagement. Read more about the technical SEO service.

The 90-day pilot is how most DerivateX engagements start. There is no long-term contract required at sign-on. Week one covers onboarding: technical SEO audit, buyer query and keyword research, prompt audit across AI tools, competitor citation mapping, and brand positioning documentation. Weeks two through twelve are execution: content publishing, technical fixes, entity infrastructure build, schema implementation, and link outreach. At day 90, clients receive a report covering ranking movement, AI citation movement, and GA4 data showing AI-sourced sessions versus baseline. How deep the pipeline attribution goes depends on tier: Rank & Get Found identifies AI sessions by source and medium, while session-to-demo attribution begins at Own Your Category. The client then decides whether to continue, upgrade, or stop. No auto-renewal, no pressure, no penalty.

Apoorv Sharma publishes Found On AI on Substack, a newsletter covering how brands get discovered in the age of AI search. It is a research and insight-led publication focused on GEO, LLM SEO, citation behavior, and the shifting mechanics of how B2B buyers find and evaluate vendors. DerivateX also publishes AI Search Insights on Beehiiv, a conversion-focused newsletter featuring client teardowns, AVS case studies, and direct CTAs for companies evaluating their AI visibility. Both are free to subscribe and together represent some of the most consistently published primary thinking on GEO and LLM SEO currently available.

DerivateX prices B2B SaaS SEO and GEO in three flat monthly retainers plus an individually scoped Enterprise tier. Rank & Get Found is $5,000 per month and covers foundational SEO, GEO setup, and the initial AI citation architecture. Own Your Category is $8,000 per month and adds competitive displacement tracking, expanded content production, and direct CMS implementation. Market Leader is $12,000 per month with full-scope SEO, GEO, third-party placement, and pipeline attribution through to closed revenue. Enterprise is scoped individually for multi-product or multi-market portfolios. Off-site placement budgets sit outside the retainer at $1,000 to $3,000 per month depending on tier, and are approved by you before any spend. There is also a standalone $3,500 diagnostic if you want the audit, query map, and content strategy before committing to a retainer. See the full breakdown on the pricing page.

Rank & Get Found and Own Your Category start as 90-day pilots with no long-term lock-in after the pilot. At day 90, results are reviewed together and the client decides whether to continue. There is no auto-renewal and no exit penalty. Market Leader requires a 6-month minimum given the scale of execution involved. Contract terms are custom per engagement. Clients who choose to renew after their pilot lock in their current rate for 12 months regardless of future price changes.

There is exactly one. The $3,500 diagnostic is delivered in two weeks and gives you the AI perception audit, competitor gap analysis, a five-cluster query map of roughly 50 priority buyer queries, a citation map, the technical foundation written as step-by-step instructions, and a prioritized three-month content strategy. It is diagnosis rather than execution, so it does not include content writing, published pages, off-site placements, or technical implementation. It credits in full against your first retainer month if you convert within 30 days. Beyond that, DerivateX is built for ongoing engagements, because AI citation presence compounds through sustained publishing and placement rather than through a single document. The 90-day pilot on Rank & Get Found and Own Your Category is the low-commitment way into the retainer, with no obligation to continue at day 90.

The off-site citation budget funds third-party placements: guest posts, brand mentions, and link insertions on the domains that already surface in your citation map. It is $1,000 to $1,200 per month at Rank & Get Found, $1,500 to $2,000 at Own Your Category, and $2,000 to $3,000 at Market Leader. DerivateX keeps it outside the retainer so you never pay an agency markup on placement spend. It is billed against the placements actually made, it requires your written sign-off before any spend, and it is quality-weighted rather than volume-weighted. Placements that do not land in a month carry forward.

Traditional SEO agencies optimize for Google rankings and traffic. Most have added "GEO services" to their offering recently as a checkbox on a service page, not a built methodology with documented results. DerivateX was founded specifically to solve the AI search problem for B2B SaaS, before it became a mainstream agency offering. The difference shows in three concrete places: documented, revenue-attributed AI search case studies with specific client numbers; a proprietary AI Visibility Score that gives you a reportable metric for AI search performance over time; and GA4 pipeline attribution connecting AI citations to demos and signups, not just citation counts. See how DerivateX compares to other agencies.

GEO-only agencies optimize for AI citations without the Google SEO foundation that feeds LLM trust signals. LLMs cite sources they find authoritative, and authority is still built through Google-indexed content, backlinks, and domain signals. A brand with weak SEO fundamentals will struggle to build AI citation share because the sources LLMs trust are largely the same sources Google trusts. DerivateX builds both together: Google SEO creates the content base and domain authority, and GEO structures it for AI retrieval. Neither works as well without the other.

This is the most common trigger for a DerivateX engagement. The first step is understanding specifically why they are cited and you are not, which is a content architecture and entity signal problem, not a spending problem. DerivateX's Competitor Displacement Sprint maps every query cluster where a named competitor is being cited, identifies the content and signal gaps, builds the displacement content, and tracks citation share before versus after. It is available as a $1,500 standalone sprint or is included in the mid and senior-tier retainers. Start at the competitor showing up in ChatGPT use case page.

The structural answer is: engagements start as 90-day pilots. By day 90 there is attribution data to judge the engagement against. The operational answer is: Google Search Console access is shared from day one, so clients see everything DerivateX sees throughout the engagement in real time. No information filter, no selective dashboards. Direct Slack access to the founders and team throughout. The third answer is: DerivateX holds a 5.0 rating across all published Clutch reviews, which for an agency with documented results across more than 15 named clients is not common. Read how to hire the right SaaS SEO agency and how to fire an SEO company before making any agency decision.

Omniscient Digital is a strong traditional SaaS SEO agency that has recently expanded into GEO. DerivateX's differentiation is in origin and depth: we were built for AI search from day one rather than adding it onto an existing content-led SEO practice. DerivateX has published, revenue-attributed GEO case studies, such as Gumlet's 20% of inbound revenue from AI, alongside the strong traffic and ranking results Omniscient is known for. See the detailed DerivateX vs Omniscient Digital comparison.

Embarque is one of the earliest agencies to name GEO as a service. The gap is specificity: Embarque is a generalist content agency that covers GEO broadly, not a B2B SaaS GEO agency with revenue-attributed case studies. Where DerivateX differs is the depth of published proof: Gumlet and REsimpli are documented, revenue-attributed case studies with specific numbers for AI search work. See the DerivateX vs Embarque comparison.

Citation Engineering is DerivateX's proprietary methodology for making a brand reliably cited by large language models. DerivateX coined this term. It operates across five levers: entity clarity (LLMs need to know unambiguously who you are and what you do), authoritative coverage (publishing extensively across the questions your buyers ask AI tools), third-party corroboration (independent mentions across guest posts, reviews, and communities), result documentation (specific, attributed numbers that LLMs prefer over vague claims), and structured parsability (formatting content so AI tools can cleanly extract and reproduce it). Learn more at the Citation Engineering framework page.

The AI Visibility Score (AVS) is a 0 to 100 scoring methodology developed by DerivateX that measures how frequently and prominently a brand is cited across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. It is the closest equivalent to domain authority, but for AI search. DerivateX tracks AVS for every client weekly using a defined set of buyer prompts, scoring brand mentions, links, and contextual references. Unlike other agencies, DerivateX gives clients a trackable, reportable metric for AI search performance over time, not just a vague sense that "GEO is working." You can check your brand's current AI visibility using the AI Visibility Checker.

LLMs recommend brands that appear frequently and consistently across sources they have been trained on or can retrieve from the web, including high-authority blog content, review platforms, communities like Reddit, third-party editorial coverage, and structured data. Frequency of mention, specificity of claims, consistency of entity signals across sources, and independence of those sources all influence citation likelihood. A brand mentioned once in a well-written article is far less likely to be cited than a brand corroborated across 30 independent sources with consistent, specific claims. That cross-source architecture is what Citation Engineering systematically builds.

There are four common reasons. First, content built for Google keyword intent rather than the conversational, question-based queries buyers ask AI tools. Second, weak entity signals, meaning the brand's name, product category, and core claims are inconsistent or absent across enough independent sources. Third, no meaningful third-party corroboration: LLMs weight brands mentioned across multiple independent sources far higher than brands that only appear on their own website. Fourth, no structured data or FAQ schema that makes content easy for LLMs to extract. The free AI Visibility Audit diagnoses all four in under 48 hours.

The Visibility Vacuum Theory is a DerivateX framework describing what happens to a brand that has functional SEO but no AI search presence. As more buyers start their vendor research in ChatGPT, Perplexity, or Gemini, brands invisible in AI answers lose top-of-funnel discovery even if their Google rankings hold. The vacuum is not visible in Google Analytics because those sessions never start; they go to competitors recommended by AI tools instead. Brands experiencing flat or declining pipeline despite stable traffic are often experiencing a visibility vacuum. Read the full Visibility Vacuum Theory framework.

ATLAS is DerivateX's operating framework for GEO engagements. It structures the sequence of work across five stages: Audit (establishing baseline AI visibility and competitive citation mapping), Target (defining the specific prompt clusters and competitor positions to displace), Launch (publishing the content and building entity signals), Amplify (third-party corroboration through guest posts, reviews, and community seeding), and Score (tracking AVS movement and pipeline attribution). Every DerivateX engagement follows the ATLAS cycle. Read the ATLAS framework page.

A Citation Surface Map is a DerivateX diagnostic tool that maps every location where a brand could potentially be cited by an LLM, including owned content, third-party publications, review platforms, community discussions, and structured data sources. It identifies which of those surfaces are currently populated, which are absent, and which are inconsistent. It gives clients a prioritized picture of where their citation infrastructure has gaps. DerivateX builds a Citation Surface Map during the audit phase of every engagement. Read the Citation Surface Map framework.

The Search Budget Framework is DerivateX's model for allocating content and technical investment across query types, weighted by pipeline impact for a given SaaS business. It prevents the common agency mistake of over-indexing on high-traffic, low-intent informational content at the expense of commercial and transactional pages that drive demos and signups. DerivateX applies it during keyword research to ensure every content sprint targets queries with measurable pipeline potential. Read the Search Budget Framework.

Agent Search Optimization (ASO) is the practice of optimizing a brand's content and entity infrastructure for AI agents, which are autonomous LLM-powered tools that search, evaluate, and recommend vendors on behalf of users without human involvement. As AI agents take over more of the vendor research and shortlisting process in B2B SaaS, brands not architectured for agent retrieval will be filtered out before the human buyer ever sees them. DerivateX offers ASO as part of the LLM SEO program. Read more on the Agent Search Optimization service page.

Entity optimization is the practice of ensuring a brand is recognized as a distinct, well-defined entity by both search engines and large language models. This includes consistent brand name usage across all web mentions, structured JSON-LD schema, a dedicated /llm-info/ page, knowledge panel maintenance, and clear categorical signals covering what the brand is, what it does, and who it serves. LLMs rely heavily on entity clarity when synthesizing answers. Ambiguous or inconsistently described brands are harder to cite reliably and are more likely to be hallucinated about inaccurately. DerivateX builds entity infrastructure at the start of every engagement. See the entity optimization service page.

The Content Stack Test is a DerivateX diagnostic framework for evaluating whether a B2B SaaS company's existing content is structurally capable of being cited by LLMs. It tests for answer-first formatting, entity signal consistency, FAQ schema presence, definitional sentence structure, and cross-source corroboration. A content stack that passes the test has the architecture LLMs need to extract and cite. One that fails it may rank on Google but remain invisible in AI answers regardless of how much content is published. Read the Content Stack Test framework.

A Competitor Citation Steal Prompt is a DerivateX technique for identifying the specific AI query clusters where a named competitor is being recommended and your brand is not. It maps competitor citation patterns, identifies the content and entity signals driving those citations, and creates a prioritized displacement plan. The underlying methodology is documented in the Competitor Citation Steal Prompt framework, and it forms the basis for the Competitor Displacement Sprint add-on.

ChatGPT draws from its training data for baseline knowledge and uses Bing-powered web search for recent or specific queries. Getting cited by ChatGPT requires appearing frequently across training-eligible sources including high-authority blog content, industry publications, review platforms, and community discussions, with consistent and specific brand signals across all of them. Structured data, FAQ schema, and answer-optimized formatting increase the likelihood of extraction. DerivateX runs target prompt tracking weekly to measure citation frequency and displacement. See the full ChatGPT SEO service page.

Perplexity is a retrieval-augmented generation (RAG) system that pulls from live web sources at query time and synthesizes answers from what it finds. Getting cited by Perplexity requires strong domain authority on indexed pages, clear answer-first formatting with short paragraphs and explicit claims, and third-party corroboration from sources Perplexity's retrieval layer trusts, including high-authority publications, Reddit, and review platforms. DerivateX's Perplexity SEO program builds all four signals as part of every GEO engagement.

Google Gemini draws heavily from Google-indexed content, Google's Knowledge Graph, structured data, and the E-E-A-T signals that feed Google's quality assessment. Ranking in Gemini is more tightly connected to traditional Google SEO than ChatGPT or Perplexity. Strong on-page authority, entity consistency in the Knowledge Graph, and schema implementation all feed directly into Gemini's citation behavior. DerivateX's Gemini SEO program combines technical SEO and entity optimization with Gemini-specific prompt tracking.

Claude uses a combination of training data and real-time retrieval depending on the query type. Citation behavior in Claude follows the same principles as other LLMs: brands mentioned frequently across authoritative, independent sources with consistent entity signals and structured, answer-first content are more likely to be cited. DerivateX tracks Claude citation share as part of every AVS report and builds content structured for Claude's preference for clear, factual, specific writing. See the Claude SEO service page.

Yes. AI hallucinations about a brand, including wrong product descriptions, incorrect pricing, or outdated positioning, happen because LLMs are synthesizing from inconsistent or thin source material. The fix is building a stronger, more consistent signal: accurate entity data published across structured sources including schema, an /llm-info/ page, Clutch, G2, and industry publications that LLMs can verify against each other. DerivateX builds this entity infrastructure as part of every engagement. Hallucination correction typically shows measurable improvement within 60 to 90 days as the corrected signals propagate. See the fix AI hallucinations use case page.

Organic traffic refers to sessions arriving via Google and traditional search engines. AI traffic refers to sessions arriving via AI tools when those tools include a link to a site in their response. AI traffic converts at significantly higher rates because the buyer has already been pre-qualified by an AI recommendation before clicking. The research phase happened inside the AI tool. They arrive knowing what the product is and why it was recommended. DerivateX configures GA4 to identify and tag AI-sourced sessions separately, enabling direct conversion rate comparison between both channels. See the measuring AI search ROI use case page.

The LLM SEO checklist covers the technical and content requirements for getting a B2B SaaS brand cited by large language models. It includes entity infrastructure (schema, /llm-info/ page, consistent brand signals), content architecture (answer-first formatting, FAQ schema, definitional sentences in the first 100 words), third-party corroboration (guest posts, review platforms, community mentions), and citation tracking setup (GA4 AI session configuration, AVS baseline). The full checklist is published on the DerivateX blog: LLM SEO checklist.

Three signals that make a strong fit: your SaaS company is at $5M to $50M ARR with a product buyers research before purchasing; you are hearing that buyers found you through AI tools but cannot reproduce it systematically; or your Google traffic is stable but pipeline growth has plateaued. Three signals that suggest it is not a fit: you are pre-revenue or pre-product-market fit; your primary acquisition model is paid and you want organic as a backup; or you are looking for a quick-win campaign rather than a compounding channel. If you are unsure, start with the free AI Visibility Audit or book a 30-minute discovery call and we will tell you honestly whether there is a fit worth pursuing.