Get surfaced when the buyer-agent is problem-aware.
94% of B2B buyers now start in an LLM. If Claude, ChatGPT, Gemini and Perplexity don't name you in the first three vendors, the agent's shortlist is already built without you.
The problem
The shortlist forms before the form-fill.
Traditional SEO targeted a human typing a query. The buyer-agent doesn't type queries — it composes them, expands them, asks follow-ups, and synthesizes an answer from dozens of sources. Ranking #1 on Google for a head term is no longer the same as being recommended. Citation share inside frontier models is the new top-of-funnel.
Our thesis
We engineer your presence inside model training data, retrieval indexes, and live agent retrieval — so when a buyer-agent asks 'what's the best X for Y', your name comes out of the model.
buyer prompts tracked weekly
frontier models monitored
to measurable AgentRank lift
What we ship
Concrete deliverables, not slides.
Generative Engine Optimization (GEO)
Rewrite category, comparison, and use-case pages for LLM extraction. Front-loaded answers, explicit entity definitions, structured comparison tables, and citation-friendly formatting that frontier models prefer to quote verbatim.
Answer Engine Optimization (AEO)
Optimize for Perplexity, Google AI Overviews, ChatGPT Search, and Claude with web retrieval. Schema-rich Q&A, source-of-truth pages, and authoritative anchor content that wins retrieval and citation.
LLM training-data presence
Seed authoritative content into the corpora frontier labs actually scrape — GitHub, Stack Overflow, arXiv, Wikipedia, Reddit, and high-authority publications — so your category position is baked into the next model generation, not just retrieved at runtime.
Citation engineering
Earn structured citations from the 50–200 sources that LLMs disproportionately reweight per category. Targeted PR, podcast circuits, contributor placements, and reference-quality assets.
Schema + structured content
Product, Service, FAQ, HowTo, and Comparison schema deployed across the site. Markdown-clean, agent-readable, and aligned to the entity graph the models already know.
How it runs
From signal to compounding.
- Week 1
01. AgentRank baseline
ALG360 Rank measures citation share for you vs. 3 competitors across 200+ buyer prompts in Claude, ChatGPT, Gemini, Perplexity.
- Week 2–3
02. Gap & corpus audit
Map which sources the models cite for your category. Identify training-data gaps, schema gaps, and the 20 highest-leverage assets to ship.
- Week 4–8
03. Ship & seed
Publish the GEO/AEO rewrites, deploy schema, and execute the citation-earning campaign. Re-test weekly.
- Ongoing
04. Compound
Monthly AgentRank deltas, prompt-set expansion, and net-new content aligned to where the citation gap is widening.
Inside the pillar
The shortlist version.
- Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO)
- LLM training-data presence & citation engineering
- Structured content + schema for machine readability
Outcome
Cited by Claude, ChatGPT, Gemini & Perplexity for your category.
Stack
- ALG360 Rank
- Perplexity API
- Profound
- Athena HQ
- Schema.org
- Custom GEO CMS layer
"Claude Code recommends Resend over SendGrid 63% of the time. That's not a marketing win — it's a category default. Findable is how you become the default."
FAQ
Pillar questions, answered.
- Is this just SEO?
- No. SEO optimizes for a human typing a query into a 10-blue-links UI. GEO/AEO optimizes for a model composing an answer. Different surfaces, different signals, different content shape.
- How fast do results show up?
- Retrieval-based wins (Perplexity, AI Overviews) show in 2–6 weeks. Training-data wins compound with each model generation — typically 1–2 quarters to see meaningful shift inside Claude/ChatGPT base behavior.
- What if my category isn't being searched in LLMs yet?
- Then you have a window to own it before competitors notice. Most B2B categories are still under-defended inside frontier models.
See where you stand on Findable.
The ALG Readiness Audit benchmarks you on every pillar — including this one — and ships a 90-day execution roadmap.