Fundamentals

What is CAPM?

Contextual AI Presence Mapping (CAPM) is Aethon's method: map the moments that create demand in your category, measure which brands AI recommends in each one, then ship the work that earns you the mention.

Aethon view of what each AI assistant said for the same moment

Why it exists

Buyers describe a situation before they search a keyword

Someone gets engaged, gets rear-ended, or watches traffic drop. They tell ChatGPT, Claude, Gemini or Perplexity what happened. Assistants infer a need and name brands. CAPM is the method for owning those moments instead of only chasing the keywords that show up later.

GEO and AEO still matter for prompts and answers. Keyword SEO still matters for crawlable pages. CAPM starts one step earlier: which moments create demand, who owns the recommendation today, and what to publish so the shortlist changes.

The CAPM loop

Four stages: map, measure, diagnose, act

Each stage has a clear output. Aethon runs this loop in the product.

Stage 1

Map: Find demand-creating moments

List the life and business situations buyers in your category describe to assistants, written the way a person would say them out loud.

What happens

You collect moments from sales calls, support tickets, reviews and industry boards. Each moment is a situation, not a keyword.

What you get

A moment library for your category, with the needs those situations create and the brand types assistants often name.

Worked example

One life moment, walked through CAPM

A clearly fictional brand, so you can see the method without treating the outcomes as a customer case.

Illustrative example

Northline Dental (fictional)

A multi-location dental group wants assistants to name it when someone describes urgent tooth pain while traveling.

Moment

"My crown just cracked on vacation and I am in a lot of pain. Who can see me today?"

Map

Northline adds this to its healthcare moment library under urgent restorative care, with related moments for weekend fever-of-the-mouth and lost fillings.

Measure

Across ChatGPT, Claude, Gemini and Perplexity, assistants often name national urgent-care dental brands and local ER options. Northline is rarely in the shortlist for out-of-town travelers.

Diagnose

Trusted sources for this moment emphasize same-day hours, location clarity and plain-language pages about cracked crowns. Northline's site buries hours and has thin entity markup for each clinic.

Act

Ship a cracked-crown guide, clinic-level schema, same-day hours on every location page, and citations on directories assistants already use. Keep SEO for "emergency dentist" keywords and GEO for related prompts.

How the layers fit

CAPM vs keyword SEO vs GEO and AEO

Complementary layers. You do not rip out what already works.

LayerStarts fromPrimary questionTypical output
Keyword SEOQueries people typeCan we rank for this keyword?Pages, links and technical crawl health
GEO and AEOPrompts and answersDo we show up in AI answers for known prompts?Prompt tracking, answer visibility and content shaped for assistants
CAPMLife and business momentsWhich situations create demand, and who gets named inside them?Moment maps, presence by assistant, diagnosis and ranked fixes

Read how Aethon works alongside GEO tools and what moment intelligence is.

In the product

Where CAPM shows up in Aethon

The same views from the homepage, shown whole so you can read the UI.

Aethon Moment Map of demand-creating moments
Map. Moments for a category, with observed recommendations and modeled value estimates to guide prioritization.
Aethon view of what each AI assistant said for the same moment
Measure. The same moment across four assistants.
Aethon opportunity diagnosis explaining why a brand was missing from AI answers
Diagnose. Why a rival won the mention.
Aethon Action Engine board with ranked fixes ready to ship
Act. Ranked briefs your team can ship.
How revenue at stake is estimated

Observed: Aethon records assistant answers for a moment across runs and measures whether they name your brand. Modeled: estimated monthly conversation volume, your value per lead, and category conversion assumptions produce a directional revenue estimate. Dollar figures are modeled estimates, not booked revenue. You can replace the starting inputs with your own numbers. Aethon does not read your billing or CRM system.

Key takeaways

What to remember about CAPM

1

Moments before keywords

Demand often starts as a story told to an assistant. CAPM maps that story.

2

Measure, then ship

Presence without action is a scorecard. CAPM ends in ranked fixes.

3

Keep your stack

SEO, GEO and AEO stay. CAPM is the moment layer beside them.

FAQ

Frequently asked questions

What does CAPM stand for?

Contextual AI Presence Mapping. It is Aethon's method for the moment layer under GEO and AEO.

How is CAPM different from keyword SEO?

Keyword SEO targets what people type into a search box. CAPM starts earlier, with the situations people describe to AI assistants before a clean keyword exists.

How is CAPM different from GEO and AEO?

GEO and AEO improve how you show up for prompts and answers. CAPM maps the moments that create those prompts, measures who assistants recommend inside them, and ranks what to publish next.

Does CAPM replace my SEO or GEO tools?

No. Keep SEO, GEO and AEO for crawlable pages and prompt visibility. CAPM adds the moment layer and works alongside them.

What counts as a moment in CAPM?

A life or business change that creates need before a product-style search. People describe these to assistants in everyday language.

How do I start with CAPM?

Read the Life Moments Report, run the free AI Visibility Checker for a baseline, then book a demo to see your category's moment map.

See CAPM on your category

Book a 30-minute demo, or start with the free checker.