Demand
When buyers ask AI about your category, you're the answer.
Get cited by ChatGPT, Claude, Perplexity, and Gemini. AI visibility audit, content restructuring, schema markup, authority building.
The problem
Why most teams get this wrong.
What buyers experience
Your buyers don't start with Google anymore. They ask ChatGPT 'what's the best B2B [thing]?' and get five names. None of them are yours. By the time they reach your site they've already shortlisted competitors.
Why current approaches fail
Traditional SEO optimises for blue links. LLMs don't surface blue links — they surface synthesised answers, citing the sources they trust. The signals are different: structured content, named entities, author authority, citation density, Reddit and community presence.
What's possible instead
Show up in the AI-generated answer. Get cited by name. Become the model's default for your category. We've watched clients go from zero ChatGPT citations to being named in 70%+ of category queries in 90 days.
What we do
Built, shipped, and tied to a number.
- 01
AI visibility audit — how often you're cited across ChatGPT, Claude, Perplexity, Gemini
- 02
Content restructuring for LLM citation (question-led H2s, definition-first paragraphs)
- 03
Schema.org markup (Organization, Service, FAQ, Article, BreadcrumbList)
- 04
llms.txt + AI crawler guidance
- 05
Authority signal building — author bios, expertise schema, named entity density
- 06
Reddit + community presence (where your buyers actually ask)
- 07
Monthly citation tracking + competitive monitoring
Our process
Four phases. Each gated by sign-off.
- Step 01
Audit
Query the four major LLMs with 50–100 buyer questions. Map who gets cited, who doesn't, and why.
- Step 02
Restructure
Rewrite existing content for citation-friendly structure. Add schema. Build entity authority signals.
- Step 03
Authority
Reddit presence, community participation, named-entity content, expertise signals. The signals models weight as 'trusted.'
- Step 04
Measure
Monthly citation audit. Track frequency, competitor delta, query coverage. Adjust based on what's actually moving the needle.
Tools and stack
What we run on. Specific, not branded.
- ChatGPT
- Claude
- Perplexity
- Gemini
- Profound
- Ahrefs
- Custom citation monitoring
What you can expect
By when, and what for.
These are honest ranges based on real engagements. Anyone promising faster is selling, not delivering.
Month 1
Audit complete. Restructuring roadmap delivered. Top 10 pages restructured.
Baseline citation rate measured. Content reshaped for LLM consumption.
Month 3
Schema + llms.txt deployed. Authority signals built. Reddit presence active.
Citation rate +50–150% on tracked queries. First mentions in AI answers.
Month 6
Sustained content cadence. Continued authority signal building.
Cited in majority of category queries. Buyers arrive 'pre-sold' from AI shortlists.
Month 12+
Defending position. Adding adjacent query coverage.
Default answer for your category. Competitors can't catch up without a year of work.
Engagement
Starts at
$4,000/mo
One-time audit $5K–$10K. Ongoing retainer $4K–$8K/mo. Most engagements pair AEO with SEO since the work overlaps 60%.
We publish minimums because gating prices is a tell.
Want to talk through this?
30 minutes. No deck. We'll diagnose your funnel and tell you whether we can help — or who else can.
FAQ
Questions buyers actually ask.
How is AEO different from SEO?
How do you measure it?
Does AEO actually drive pipeline?
Reddit, really?
Won't this be over in two years?
Get started