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Your SaaS brand, cited by ChatGPT and Perplexity. Deliberately.
We engineer the exact citations, content, and authority signals that make LLMs recommend your product. And then tie it directly to demo bookings and pipeline.
You've been handed LLM SEO as a brief.
Here’s why it’s harder than it looks.
Most SaaS marketing leads land on this problem the same way: a founder sees a competitor getting cited in ChatGPT, sends a Slack message, and now it’s on your plate. The challenge is that adding “LLM SEO” to your existing content calendar doesn’t move the needle.
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01
Your brand is absent or wrong in AI answers When a buyer asks ChatGPT for tools in your category, you're either not mentioned, mentioned inaccurately, or listed after three competitors you know you're better than.
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02
Your current agency added "GEO" to their deck without changing anything They rephrased the content brief and called it LLM optimization. Citations didn't move. The quarterly report uses "AI visibility" as a new header for the same old traffic metrics.
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03
You can't show leadership what "LLM SEO" actually moved You know AI citations are increasing, but you can't connect a single citation to a demo request or a closed deal. It feels like a brand awareness play with no attribution path.
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04
The window to establish category dominance is closing Right now, most competitors are as invisible as you are. That changes fast once someone decides to invest seriously. The first SaaS in your category to own AI citation share will be very hard to displace.
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05
You're evaluating agencies that all sound the same Every agency shortlist looks identical: "we get you cited in ChatGPT." None of them have live client results that connect to pipeline. You need evidence, not a framework PDF.
The LLM SEO stack for B2B SaaS.
Nothing theoretical.
Every deliverable is built around a single goal: making your brand the AI’s confident recommendation for your highest-value buyer queries.
AI Visibility Audit
We run your 50 highest-value buyer prompts across ChatGPT, Perplexity, Gemini, and Claude. You get a precise map of where you’re cited, where competitors are winning, and what signals are causing the gap.
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 — not just keywords.
Authority & Digital PR
Third-party mentions on the sources AI tools actually pull from — industry publications, high-authority listicles, review platforms, and community threads that LLMs sample heavily in your category.
Entity & Schema Infrastructure
Structured data, knowledge panel optimization, and entity consistency so AI systems build an accurate, consistent mental model of your product — in your category, for your ICP, with the features that matter.
LLM Visibility Measurement
Ongoing tracking of your citation frequency across platforms, AI-sourced session monitoring, and monthly reports that connect LLM visibility to demo requests and pipeline — not just impressions.
Competitive Intelligence
Continuous monitoring of how competitors are being cited, which sources AI tools are pulling from, and when the citation landscape in your category shifts — so you’re never caught reacting.
LLM citations that move demos.
Not just the dashboard.
From no AI presence to 20% inbound revenue attributed to ChatGPT and Perplexity
LLM citations tracked against CRM data. Every percentage point has a source, a session, and a pipeline record behind it.
#1 CRM recommended in ChatGPT for real estate investors within 90 days
Within 90 days of starting, REsimpli went from absent to default recommendation in their category.
Four steps from invisible to cited.
Every engagement runs in 90-day sprints. Clear owners, clear outputs, clear pipeline impact at each stage.
AI Visibility Audit
We map your brand’s current AI footprint across ChatGPT, Perplexity, Gemini, and Claude. Competitor gaps, source analysis, entity audit. You see exactly where the opportunity is before we spend a dollar on execution.
Citation Roadmap
We identify the specific content assets, authority sources, and entity fixes required to close your citation gap. Prioritized by query volume, competitive difficulty, and pipeline impact — not activity volume.Â
Build Authority
Content production, digital PR placements, entity optimization, Reddit strategy. Everything built to the specific signals LLMs use — not recycled from a traditional SEO playbook.
Tie to Pipeline
Bi-weekly sprint reports. Monthly one-pagers showing AI citation gains mapped to inbound sessions, demos, and pipeline contribution. Not a dashboard screenshot — an actual attribution report.
Who this is for.
And who it's not.
A good fit if you're...
- A B2B SaaS marketing lead or head of growth with a mandate to capture AI search
- Running an SEO program already but seeing diminishing returns in a competitive SERP
- At a company with product-market fit and existing inbound — looking to add a new channel
- Trying to show attribution from a new channel before the next planning cycle
- Operating in a SaaS category where competitors are still ignoring LLM visibility
- Tired of agencies that hand you a "GEO strategy doc" and disappear
Not the right fit if you're...
- A local service business or e-commerce brand (we work exclusively with SaaS)
- Pre-product-market fit and still figuring out your ICP
- Looking for vanity metrics — citations, impressions, and "AI visibility scores" disconnected from revenue
- Unwilling to invest in original content and authority assets — LLM SEO requires real infrastructure
- Expecting overnight results — the first measurable pipeline impact typically takes 90–180 days
Before you book the call.
The questions marketing leads always ask before deciding whether to run LLM SEO in-house, with their current agency, or with a specialist.
What is LLM SEO, exactly?
LLM SEO is the practice of optimizing your brand so that large language models (ChatGPT, Perplexity, Gemini, Claude) cite, recommend, and accurately describe your product when buyers ask questions in your category. The signals are different from Google SEO: LLMs prioritize citation frequency, entity consistency, third-party mentions, and structured content depth. The full breakdown is in our LLM SEO guide.