Aethon AI · Contextual AI Presence Mapping for the conversation economy
Contextual AI Presence Mapping

AI isn't a search engine.
It's a friend life coach therapist confidant

Aethon is the Contextual AI Presence Mapping platform. We measure where your brand shows up in the conversations AI is having across ChatGPT, Claude, Gemini, and Perplexity, then ship the work that lands you in the answer.

People tell AI things they'd never type into Google. A baby coming. A marriage falling apart. A diagnosis they're scared to say out loud. One life trigger gives AI every piece of context it needs to recommend a brand. Aethon makes sure that brand is yours.

Mapped across ChatGPT, Gemini, Perplexity, and Claude

4 platforms
1 in 2
consumers has already made a purchase decision with help from AI.
30%
trust AI recommendations more than friends, retailers, or search.
200M+
weekly ChatGPT users. Claude, Gemini, Perplexity on the same curve.
$1.7T
projected agentic commerce volume by 2030. AI is starting to evaluate and transact on behalf of users.

Sources: Accenture Life Trends 2026 · McKinsey "The Agentic Era of Commerce" · OpenAI usage disclosures · Bain agentic-commerce forecast.

The presence map

Every moment in your market. Scored, tracked, fixable.

An illustrative presence map for a sample brand. Yours gets built on the first call.

The Aethon Core Thesis

Search understood queries.
AI understands people.

People describe situations, not products. AI infers needs before a category search ever happens. Recommendations emerge from context, not keywords.

  1. 01 Life Moments Engaged. New baby. New diagnosis. New job.
  2. 02 Inferred Needs Mortgage. Tax planning. Wealth advisor. Insurance.
  3. 03 Recommendations AI names a brand, often before the user asks.
  4. 04 Brand Outcomes Pipeline, revenue, share of recommendation.

Most companies measure what AI says.
Aethon helps brands understand why AI says it.

See where you stand in these moments Free. 30 minutes. Your category, live.
Moment Detection Engine

Every life moment fans out into a graph of inferred needs.

AI doesn't wait for a product query. It pivots from context. A wedding becomes a honeymoon. A nursery becomes an SUV. A child's injury becomes an orthopedic surgeon. Aethon maintains a living Moment Library and tracks what AI recommends along every pivot.

An illustrated example
01 A consumer says

“We just got engaged.”

into ChatGPT, Claude, Gemini, or Perplexity
02 Aethon classifies
Type
Life event · marriage
Stage
Planning
Urgency
Medium
Horizon
3-6 months
Category fan-out
10 inferred needs
03 AI will recommend
  • Joint banking
  • Mortgage pre-approval
  • Tax planning
  • Term life insurance
  • Home insurance
  • Wealth management
  • Prenup attorney
  • Honeymoon travel
01

Detect the moment

We run a continuous panel of representative conversations across ChatGPT, Claude, Gemini, and Perplexity, probing for life-event language: a new baby, a diagnosis, a job offer, a new VP of Sales. The signal isn’t a keyword. It’s a sentence about someone’s life.

02

Classify it

Every moment gets a taxonomy: type, stage, urgency, time horizon, and a confidence score. That structure is what lets you act on it instead of just observing it.

03

Map the inferred needs

For every moment, we model the categories AI will recommend next, ranked by likelihood. “Engaged” fans out to joint banking, mortgage, tax planning, wealth management. Categories the user never typed. Categories AI is already naming brands in.

Why a new category

GEO was built for the search era. Aethon is built for the conversation era.

Retrofitting search metrics onto AI tells you a score. Mapping context tells you why, and what to do about it.

The search eraGEO & rank trackers The conversation eraContextual AI Presence Mapping
Optimizes forEngines and keywordsConversations and life moments
MeasuresRankings and share of voicePresence in the contexts that convert
PromptsGeneric lists, same for every brandIndustry-specific context, tuned to how your buyers actually talk
Coverage3 or 4 platforms4 platforms: ChatGPT, Gemini, Perplexity, Claude
Ends inA dashboard. The work is on you.Action, hands-on or autopilot
The platform

Detect the moment. Map the needs. Land in the answer.

A closed-loop platform that turns market-level context signals into prioritized action. Detect the moment, map the inferred-need graph, model the recommendation pathway, ship the fix, measure the lift.

01 · DETECT

Detect the moment

Cluster conversational signals into a taxonomy of life events and business transitions. Wedding. New baby. Promotion. Diagnosis.

02 · MAP

Map the need graph

For every moment, model the categories AI will infer next, with urgency window, sequence order, and confidence.

03 · PATHWAY

Model the pathway

Track which competitor enters first, where you appear, where you fall out. From moment recognition to final recommendation.

04 · ACT

Ship the work

Aethon generates the pages, schema, comparison content, and source-authority work that lands you in the answer.

Comparing tools?

See how Aethon stacks up against the AI visibility platforms most marketers evaluate.

Compare Aethon vs. Profound, Peec, Otterly, Athena
Recommendation Pathway

See exactly where AI introduces a brand, and where you drop out.

Aethon models the full path AI takes from context to recommendation: moment recognition, need expansion, category narrowing, brand consideration, recommendation, decision support. So you know if you're absent early, weak mid-journey, or only showing up at final decision.

  • Share of recommendation by stage

    Not just "are you cited," but at which stage of the conversation AI first names you.

  • First-brand appearance rate

    The brand AI names first wins. Aethon shows you where you do, and where a competitor beats you to the punch.

  • Drop-off diagnostics

    If you're strong at Stage 2 and absent at Stage 4, we tell you why. Usually a missing comparison page, weak schema, or a source you don't own.

Pathway · Wedding → Honeymoon aggregate, 30d
  1. 01
    Moment recognition
    "We're planning a wedding for October" · Category not yet introduced
  2. 02
    Need expansion
    AI introduces honeymoon, travel, ring insurance
  3. 03
    Category narrowing
    "Maldives or Bora Bora?" · "All-inclusive vs. à la carte?"
  4. 04
    Brand consideration
    Shortlist with reasons
  5. 05
    Recommendation
    "Most couples in your range pick X" · final answer
Diagnostic: You arrive late. Stage 2 is doing the work that decides Stage 5. Three actions queued in the Action Engine.
Share of recommendation

Share of voice is dead. Share of recommendation is the metric that moves revenue.

Mentions don't pay rent. Aethon tracks how often a brand is recommended, how early it appears, how often it's named first, and how positively it's framed, broken down by moment, pathway stage, model, and source.

Share of recommendation Moment: Newly Engaged · 30d
  1. 01Marriott Bonvoy28%
  2. 02Delta Vacations24%
  3. 03You14%
  4. 04Hyatt Andaz11%
  5. 05Four Seasons8%
  6. ·Not recommended15%
Action Engine prioritized queue
  1. 01
    Build "family-transition travel" hub
    Expected impact: +11 ptsConfidence: highTime to value: ~14d
    Closes the Stage 2 honeymoon pivot where Marriott is first-named.
  2. 02
    Add FAQ + schema to honeymoon package pages
    Expected impact: +6 ptsConfidence: highTime to value: ~3d
    Three top-cited sources are missing structured entities for your property class.
  3. 03
    Earn citation in The Knot & Brides "honeymoon" guides
    Expected impact: +5 ptsConfidence: mediumTime to value: ~30d
    These two domains drive 38% of source influence in this moment.
  4. 04
    Publish "Maldives vs Bora Bora" comparison
    Expected impact: +4 ptsConfidence: mediumTime to value: ~7d
    Category-narrowing stage; you're absent from the comparison set.
Autopilot + Action Engine

Your presence, growing in the background.

Monitoring tells you whether your brand is appearing in AI answers. Aethon actually improves it. The Action Engine converts every gap on your map into work that ships: pages generated, signals strengthened, fixes deployed. Autopilot keeps it running week after week.

Stay hands-on and approve every move, or let it run. Your presence map updates either way.

Pricing

Pricing that scales with how much you want us to ship.

Every plan includes the Presence Score, the Conversation Simulator, and access to your vertical's life moment library. Pick the plan that matches how much you want us to ship for you.

Starter
For founders, owner-operators, and small teams testing the water.
$199/mo
  • Presence Score across all 5 platforms
  • 1 brand, 3 competitors tracked
  • 100 life-moment prompts / week
  • Conversation Simulator (basic)
  • Weekly recommendations
Book a demo
Most popular
Pro
For growing teams who want execution, not just insight.
$399/mo
  • Everything in Starter
  • Auto-content generation & publishing
  • Comparison pages, schema & source-authority drafts
  • Up to 10 competitors, 3 locations
  • Full vertical life-moment library
  • Slack + email alerts on gaps
Book a demo
Business
For multi-location and mid-market growth teams.
$799/mo
  • Everything in Pro
  • Up to 25 locations / sub-brands
  • Revenue attribution & reporting
  • Custom prompt & life-moment authoring
  • Priority content review & QA
  • Dedicated CSM
Book a demo
Enterprise
For multi-brand portfolios, agencies, and regulated industries.
Custom
  • Unlimited brands & locations
  • SSO, custom DPAs
  • White-glove onboarding
  • API access & custom integrations
  • Quarterly strategy reviews
  • Compliance-grade content review
Book a demo
FAQ

Questions teams ask us

What is Contextual AI Presence Mapping?

CAPM is the practice of mapping the life moments and contextual signals that drive AI recommendations, and engineering your brand's presence in the conversations where decisions are made. We defined the category because the search-era playbook doesn't translate to conversations. Read the full definition.

How is CAPM different from GEO?

GEO retrofits search thinking, keywords, rankings, and share of voice onto AI platforms. CAPM starts from how people actually talk to AI: in moments, with context. The output isn't a rank report. It's a presence map and the actions that change it. Teams often start with GEO tools, then move to Aethon when monitoring stops being enough.

Which AI platforms does Aethon cover?

Four: ChatGPT, Gemini, Perplexity, and Claude. Refreshed continuously as models update.

Do I run Aethon myself, or does it run for me?

Both. Use it hands-on: explore your map, generate content, approve every action. Or set it to autopilot and let ongoing optimization run in the background while you focus on the business. Either way, you win.

We're an agency. Can we run this for clients?

Yes. Aethon works for performance, content, brand, and influencer agencies running AI visibility for clients across verticals. See how agencies use Aethon.

AI is recommending brands in your category right now

The recommendation is happening today. With you or without you.

A 30-minute walkthrough. We'll run your category live, show you exactly where AI names you across ChatGPT, Claude, Gemini, and Perplexity, where competitors land instead, and the three highest-leverage actions to change it.

Schedule Your Strategy Session

Tell us about your organization and we’ll show you how to dominate AI search