LLM SEO AGENCY . B2B SAAS

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.

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
What We Build

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.

01

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 Gap Analysis Competitor share-of-voice Entity audit
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 — not just keywords.

Comparison Pages AI-structured content Citation trigger writing
03

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.

Digital PR placement Listicle inclusion Reddit strategy
04

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.

Schema Markup Knowledge Panel LLMs.txt
05

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.

Cross-LLM tracking Pipeline attribution Bi-weekly sprints
06

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.

Competitor benchmarking Source mapping Shift alerts
Client Results

LLM citations that move demos.
Not just the dashboard.

Gumlet . Video Infrastructure Sales
Revenue from AI discovery
~ 0 %
Commercial queries, Top 3
0 +

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.

REsimpli · CRM for Real Estate Investors
Cited Real Estate CRM in the US
# 0
To category dominance
0 d

#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.

01 – Discover

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.

02 – Strategize

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. 

03 – Execute

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.

04 – Measure

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.

Right Fit

Who this is for.
And who it's not.

A good fit if you're...

Not the right fit if you're...

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.

Most SEO agencies have added “GEO” or “LLM SEO” to their service list without changing their methodology. The signals that make LLMs cite your brand (citation source quality, entity positioning, AI-structured content) are fundamentally different from Google’s ranking factors. If your agency is running the same content brief and calling it LLM SEO, the citations won’t move. Ask them to show you AI mention data from a current client. If they can’t, that’s your answer.
 
We track citation frequency across ChatGPT, Perplexity, Gemini, and Claude for your target prompt 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 — not just “citations went from 12 to 18.” We know you need to justify the budget, not just the activity.
Citation increases are typically measurable within 60–90 days. Connecting those citations to demo requests and pipeline takes 90–180 days depending on your existing authority baseline. At 30 days, we’ll have your AI visibility audit complete and the roadmap ready — which itself is a concrete deliverable you can present internally to show the scope of the opportunity and the plan to capture it.
Neither. We build LLM SEO on top of your existing SEO foundation — AI tools heavily reference top-ranking web content, so a strong organic presence accelerates AI citation. We can run as a specialist layer on top of your current SEO program, or as an integrated engagement covering both. We’ll tell you which makes more sense once we understand your current setup on the discovery call.