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GEO AGENCY . B2B SAAS
Most SaaS brands in AI got there by accident.
We make it deliberate.
DerivateX is a GEO (Generative Engine Optimization) agency for B2B SaaS. We engineer your brand’s AI search visibility so ChatGPT, Perplexity, and Gemini recommend your product to the right buyers on purpose, with attribution back to the pipeline.
CLIENT RESULT . GUMLET
20%
of inbound revenue attributed to AI discovery
Before DerivateX, Gumlet appeared in AI search results the same way most SaaS companies do: inconsistently, in second or third position, with inaccurate product descriptions. We rebuilt their AI citation footprint from the ground up. Today, 20% of their inbound revenue traces back to ChatGPT and Perplexity.
Four ways accidental GEO is costing you buyers right now
- You are absent from the answer. A buyer asks ChatGPT to recommend tools in your category. Three competitors are listed. You are not.
- You are absent from the answer. A buyer asks ChatGPT to recommend tools in your category. Three competitors are listed. You are not.
Competitors are building this lead. The window to own citation share in your category is narrow. The first SaaS brand that invests deliberately will be very difficult to displace.
You cannot attribute what you cannot measure. AI-sourced buyers exist in your pipeline right now. Without deliberate GEO, you have no way to track or compound that channel.
What is GEO
Generative Engine Optimization is not SEO with a new name.
"GEO is the discipline of engineering your brand so that AI language models cite, recommend, and accurately describe your product when buyers ask questions in your category."
Google ranks pages. ChatGPT, Perplexity, and Gemini build answers. The signals that drive each are fundamentally different. A company can rank on the first page of Google and still be completely absent from every AI recommendation in its category.
GEO addresses the signals that AI models actually rely on: citation source quality, entity consistency, content structured for AI retrieval, third-party mention frequency, and cross-platform authority. None of these are captured in a standard SEO audit or a traditional content brief.
At DerivateX, we formalize this work as Citation Engineering. A repeatable system for building the exact signals that make LLMs recommend your product instead of a competitor’s.
Deliberate vs Accidental
The only distinction that matters in AI search right now.
Most SaaS companies that show up in ChatGPT did not plan it. A few well-placed blog posts, a handful of third-party mentions, and a recognizable product category got them there. That is accidental GEO.
Accidental GEO has a ceiling. The citations are inconsistent. The product descriptions are often wrong. The use cases mentioned rarely match the buyer segment you actually want. And when competitors invest deliberately, accidental presence collapses.
Deliberate GEO is engineered. You know which queries matter. You know which sources AI tools pull from in your category. You know which content assets create citation signals. You build those assets, place those mentions, and track citation frequency against inbound pipeline.
That is what DerivateX builds. Not a brand awareness play. A measurable acquisition channel.
GEO vs Traditional SEO
Two different games.
Most agencies are only playing one.
If your agency is running traditional SEO playbooks and calling it GEO, here is what the difference actually looks like in practice.
| What you are optimizing for | Traditional SEO | GEO (DerivateX) |
|---|---|---|
| Target platform | Google Search | ChatGPT, Perplexity, Gemini, Claude, Copilot |
| Primary optimization signal | Backlinks, keyword density, page authority | Citation frequency, entity consistency, source authority for AI retrieval |
| Content structure goal | Rank for a keyword on a results page | Become the cited answer inside an AI response |
| Success metric | Organic rankings, impressions, clicks | Citation share by query cluster, AI-attributed demos, pipeline contribution |
| Buyer journey stage | Discovery and awareness via search intent | Active buying intent via conversational AI queries |
| Brand accuracy control | You control your own pages | Requires entity optimization across all sources AI tools pull from |
| Competitor displacement | Outrank with better content and links | Out-cite with better source authority and mention frequency |
| Can your current SEO agency do it? | Yes | Rarely. Ask for live AI mention data first. |
| Does ranking on Google help? | Yes, it is the goal | Yes, it accelerates GEO but does not replace it |
The GEO stack for B2B SaaS.
Nothing theoretical.
Every deliverable is designed around a single outcome: making your brand the AI’s confident recommendation for the buyer queries that drive your pipeline.
01
AI Visibility Audit
We run your 50 highest-value buyer queries across ChatGPT, Perplexity, Gemini, and Claude. You get a precise map of where you are cited, where competitors are winning, and exactly what signals are causing the gap. This is your baseline and your internal business case.
02
Citation Engineering
We identify and build the exact content assets and third-party placements that make LLMs cite your brand. Comparison pages, use-case guides, and category content structured for AI retrieval rather than keywords alone. This is the core of what we do.
03
Authority Infrastructure
Third-party mentions on the sources AI tools actually sample from: industry publications, high-authority listicles, review platforms, and community threads. Not generic link building. Source placement targeted to AI retrieval patterns in your specific category.
04
Entity and Schema Optimization
Structured data, knowledge panel optimization, and entity consistency across every source AI systems read. When an LLM builds a mental model of your product, this work ensures it is accurate, positioned in your category, and tied to the features that matter to your ICP.
05
GEO Measurement and Attribution
Ongoing citation frequency tracking across platforms, AI-sourced session monitoring in your analytics, and monthly reports that connect GEO visibility to demo requests and pipeline. You will know whether GEO is working before the next board deck is due.
06
Competitive Intelligence
Continuous monitoring of how competitors are being cited, which sources AI tools are pulling from in your category, and when the citation landscape shifts. You are never reacting. You are always positioned ahead of the next shift.
How It Works
From invisible to cited in 90 days. Clear owners, clear outputs at every stage.
Every GEO engagement runs in 90-day sprints. Each stage has a concrete deliverable you can present internally before the next stage begins.
01
Days 1 to 30
AI Visibility Audit
We map your current AI citation footprint across every major LLM. Competitor gaps, source analysis, entity audit, and opportunity sizing. You know exactly where to invest before execution begins.
02
Day 15 to 45
Citation Roadmap
A prioritized plan of content assets, authority placements, and entity fixes needed to close your citation gap. Ordered by buyer query volume, competitive difficulty, and pipeline impact. A business case, not a task list.
03
Day 30 to 90
Build Authority
Content production, digital PR placements, schema implementation, entity optimization, and community presence. Everything built to the specific signals LLMs use when deciding what to cite in your category.
04
Ongoing
Pipeline Attribution
Bi-weekly sprint reports. Monthly one-pagers mapping citation gains to inbound sessions, demos, and pipeline contribution. An attribution report, not a dashboard screenshot.
CLIENT RESULTS
GEO citations that move pipeline.
Not just the dashboard.
Gumlet · Video and Image Infrastructure
From inconsistent AI mentions to 20% of inbound revenue attributed to AI discovery
Gumlet knew buyers were finding them through ChatGPT and Perplexity. What they could not do was reproduce it consistently, fix the inaccurate product descriptions appearing in AI answers, or attribute specific revenue to specific citations.
We audited their full AI citation footprint, rebuilt their category content architecture using Citation Engineering, and established cross-LLM measurement tied directly to their CRM. Every percentage point in the result has a source, a session, and a pipeline record behind it.
20%
of inbound revenue now attributed to AI search discovery
137+
tracked AI citations across ChatGPT, Perplexity, and Gemini
Top 3
positioning on commercial buyer queries in their category
Results measured via LLM citation tracking connected to CRM inbound data. Attribution methodology available on the discovery call.
Who this is for
GEO works when the foundation is right. And it does not when it is not.
Not the right fit if you are
- A local service business, ecommerce brand, or B2C company. We work exclusively with B2B SaaS
- Pre-product-market fit and still figuring out your ICP. GEO amplifies product-market fit, it does not create it
- Looking for citation counts and AI visibility scores as end goals, disconnected from demos and revenue
- Unwilling to invest in original content and authority assets. GEO requires real infrastructure, not prompt tricks
- Expecting results in 30 days. First measurable pipeline impact takes 90 to 180 days depending on your baseline
- Hoping your current SEO agency will add GEO to their retainer without changing their methodology
A strong fit if you are
- A B2B SaaS marketing lead or founder at a company between $1M and $20M ARR with budget for a new acquisition channel
- Hearing buyers say "I found you on ChatGPT" but unable to reproduce it consistently or attribute revenue to it
- Running an SEO program already and seeing diminishing returns as AI Overviews absorb more organic clicks
- Operating in a category where competitors are still ignoring AI search, and want to own it before that changes
- Trying to show attribution from a new channel before the next planning cycle
- Tired of agencies that hand you a GEO strategy document and then disappear
Common Questions
What SaaS marketing leads ask before starting GEO.
What is GEO (Generative Engine Optimization)?
GEO is the discipline of engineering your brand so that AI tools like ChatGPT, Perplexity, Gemini, and Claude cite and recommend your product when buyers ask questions in your category.
The signals that drive AI citations differ from Google ranking factors: citation source quality, entity consistency, AI-structured content, and third-party mention frequency.
What is the difference between GEO and SEO?
SEO optimizes your content to rank on Google’s results page. GEO optimizes your brand to be cited inside AI model answers.
The two overlap in content quality and domain authority, but GEO requires specific work that traditional SEO does not: Citation Engineering, cross-LLM entity optimization, and source placement targeted to how AI tools sample content.
A company can rank on page one of Google and still be absent from every AI recommendation in its category.
Is GEO the same thing as LLM SEO?
GEO and LLM SEO are used interchangeably across the industry. At DerivateX, GEO refers to the full discipline of building deliberate AI search visibility, which includes Citation Engineering, entity optimization, authority infrastructure, and AI-structured content.
Both terms describe the same goal: being cited in AI model answers rather than just ranked on Google.
Can my existing SEO agency do GEO?
Most traditional SEO agencies have added GEO to their service list without changing their methodology.
If your agency is running the same content briefs and calling it GEO, the citations will not move.
Before deciding, ask them to show you AI mention data from a current client across ChatGPT and Perplexity.
If they cannot produce it, you have your answer.
How do you measure GEO so I can report upstream?
We track citation frequency across ChatGPT, Perplexity, Gemini, and Claude for your target buyer query clusters.
We also monitor AI-sourced sessions in your analytics and build an attribution path from AI discovery to demo request.
Monthly reports map visibility changes to pipeline contribution, so you can justify the budget with numbers, not activity.
How long until GEO shows results I can show leadership?
Citation increases are typically measurable within 60 to 90 days. Connecting those citations to demo requests and pipeline takes 90 to 180 days depending on your authority baseline and deal cycle.
At 30 days, your AI Visibility Audit is complete and the roadmap is ready: a concrete deliverable you can present internally before execution spend begins.
Does GEO replace our existing SEO program?
No. GEO runs on top of your SEO foundation. AI tools heavily reference top-ranking content, so strong organic presence accelerates AI citation.
We work as a specialist layer on top of your current SEO program, or as an integrated engagement covering both channels.
We will tell you which approach makes more sense on the discovery call once we understand your current setup.
What does the Free AI Visibility Audit include?
The audit covers a sample of your highest-value buyer queries run across ChatGPT, Perplexity, and Gemini.
You get a citation snapshot showing where you appear, where competitors appear instead, and the specific gaps driving your current absence.
It is a genuine diagnostic with no obligation to engage after receiving it.