AI Search Audit.
We query every major AI system with the questions your buyers actually ask. We map where you appear, where competitors appear, and why. You get a dataset, not a PDF.
Ellipsis AI search agency
We make B2B technology companies the #1 recommendation when buyers ask ChatGPT or Google AI Overviews for suggestions in your category.
(Not Perplexity; we agree with Reddit that "Perplexity does nothing groundbreaking" and when they can't raise you should sell your Nvidia stock.)
Ellipsis is the world-leading AI SEO agency – we make our clients #1 on ChatGPT
WEGLOT
#1 on ChatGPT
38.3% share in 30 days0% -> 25% ChatGPT share
18% AI Overview share2x signups from AI
in 3 months Coppel
Cited 3x more
than Amazon and Walmart codeable
#1 on ChatGPT
vs Toptal & UpworkTalk to a strategist about AI search presence -> pipeline.
25 people. In-house strategy and writing team. We started as an SEO agency, then built AI for predicting content performance in 2021 – two years before ChatGPT made that sound like a reasonable thing to do.
180+ B2B companies since then. Exposed to 50,000+ real AI search queries. More data on how these systems make recommendations than anyone outside the model providers themselves.
Why this is different from SEO
We know SEO. We did it for years. This isn't that.
Google ranks pages. LLMs recommend entities. When someone searches Google, they get a list of URLs. When someone asks ChatGPT "what CRM should I use for a 50-person sales team?", they get a recommendation with reasoning. The inputs are different. The ranking factors are different. The optimisation strategies are different.
Most agencies are applying SEO logic to a fundamentally different system. They're optimising for keywords when they should be optimising for entity salience across training corpora and retrieval sources.
We've reverse-engineered how LLMs construct recommendations. We know which signals matter, how retrieval-augmented generation changes the game, and why your Wikipedia presence might matter more than your blog.
What we actually do
Entity Optimisation.
We identify and fix the signals that determine whether AI systems recognise your company as authoritative in your category. Structured data, knowledge graph presence, citation patterns, corpus representation.
Content Strategy.
We create content designed to be retrieved and cited by AI systems. This isn't "write more blog posts." It's strategic placement of authoritative content where LLMs look when constructing answers.
Ongoing Monitoring.
AI recommendations shift constantly. We track your share of voice weekly and adjust.
FALCON AI
V3.3
Our proprietary system. V1 built in 2021, when "using AI for marketing" meant chatbots and no one was thinking about search.
FALCON predicts content performance before publication by analysing how AI systems process and weight different signals. We've run 50,000+ queries through it. The model improves with every client engagement. Three years of compounding data — not something a competitor can spin up in six months.
Who this is for
B2B technology companies, $2M-$200M revenue. You've probably got SEO figured out. You've noticed your buyers mentioning "I asked ChatGPT and it recommended…" You want to know why you're not on those lists, and you want to fix it.
We don't have salespeople. You'll talk to strategists who've done this 180+ times. If we don't think we can move the needle, we'll tell you.
Talk to a strategist about your AI search opportunity.