[ Step 01 ]
Find user questions
Find the exact questions buyers ask AI before they ever reach your site.
Discovery + Usability
Get discovered & used by
ChatGPT
You optimized for user experience. Now optimize for agent experience: citations, structured facts, task paths, and proof that agents can finish.
llms.txt, workflow JSON, friction map, task eval, and proof packet.
Agent surfaces covered
C
ChatGPT
Answer engine
C
Claude
Research agent
G
Gemini
Search answer
P
Perplexity
Citation surface
D
DeepSeek
Model answer
G
Google AI
AI overview
C
Claude Code
Code agent
C
Codex
Task agent
AEO workflow console
One loop for questions, content, routing, and agent usability.
The buyer sees a simple pilot. The operator sees the machine-readable path from AI question to completed workflow.
1
Discover
Buyer questions and mention gaps
2
Publish
Source-backed answers and schema
3
Route
AI traffic to the clean agent page
4
Evaluate
Workflow completion and friction
Question map3 active
Best agent-ready sales platform?
Missing Atris in answer
How do I price a founder-led pilot?
Needs proof-gated offer
Can an agent request checkout?
Needs approval path
Agent surfaceProof-gated
llms.txtReady
Workflow JSONReady
Action contractApproval-gated
Task evalBlocked on live run
Self-serve start
Figure out AEO from the shipped guide, not a sales call.
The public quickstart walks a first-time operator through the sample, baseline, draft fix, pilot scope, and owner-gated outbound proof.
[ 01 ]
AEO Self-Serve
Open the browser quickstart and follow the current proof-gated checklist.
[ 02 ]
Use Atris sample
Start from the shipped sample path before changing a customer surface.
[ 03 ]
Run baseline
Capture the first score so every fix has proof instead of opinion.
[ 04 ]
Owner approval
Use the owner-approval command builder before any manual outbound send.
Live guide
https://atris.ai/aeo/self-serve/quickstart
Discovery
When AI answers a question, your product should be in the answer.
Top agent-ready sales platforms in 2026
Intro
When buyers ask ChatGPT, Claude, Gemini, or Perplexity what product can run a founder-led sales workflow, the answer should resolve to a few trusted sources.
Workspace-native entity graphllms.txt source trail
Generating citable answer...
[ Step 02 ]
Generate content
Publish citable answers, source-backed facts, comparison pages, FAQ atoms, schema, and llms.txt.
[ Step 03 ]
Increase AI traffic and mentions
Measure which engines mention you, which sources they use, and what still blocks citation.
Usability
When AI uses a tool to complete a task, your product should be the one it uses.
Success rate
30-day rolling average across agent simulations
Opus 60%Sonnet medium 70%Sonnet small 45%Quasar 55%Atris tuned 92%
Error categories
Non-interactive setup
1
Permission issue
2
Configuration gap
3
Network or API failure
5
Authentication dead end
2
[ Step 01 ]
Map agent workflows
Turn real user jobs into agent paths: discover, compare, price, approve, buy, onboard, and resolve.
[ Step 02 ]
Surface friction points
Run the path and catch missing schema, unclear states, auth dead ends, and invisible next actions.
[ Step 03 ]
Fix gaps and track progress
Patch the agent surface, rerun task evals, and carry account-specific learning into the next loop.
Most AEO tools prove visibility. Atris proves whether the agent can finish the job.
Workspace-native AEO with an RL loop
Workspace-native, not a cloud-only report.
Atris keeps the entity graph, workflow map, source trail, and task evals close to the customer workspace.
Entity graph
Workspace-native source of truth
llms.txt
Agent-readable entrypoint
Workflow JSON
Machine-readable task map
Task evals
Completion proof, not screenshots
Self-score
10-rule quality gate
RL loop
Per-account learning weights
Agent answerProof-gated
Atris AEO is the path from AI citation to completed agent workflow.
Finds the product
Loads structured facts
Completes the task path
Category validation
Discovery plus usability is the new AI distribution category.
The next buyer channel is not just "get cited." It is whether an agent can find the product, parse the facts, choose the next action, and complete the workflow.
[ 01 ]
Discovery
Win the answer when buyers ask AI what to use.
[ 02 ]
Usability
Make the product path simple enough for agents to finish.
[ 03 ]
Proof
Show task completion evidence, not a visibility screenshot.
Agent surface map
Atris AEO proof loop
Find, cite, parse, finish.
Same category hook as the market leader. Stronger implementation because the evidence lives in the customer workspace.
Workspace entity graph
llms.txt and workflow JSON
Task completion eval
Account learning loop
Run one buyer segment and one agent workflow.
The first pilot is narrow on purpose: one answer surface, one workflow, one proof packet, and one approved next action.
$2,000/monthFounder-ledAdmin-created checkout
Atris Agent Experience Pilot
$2,000
per month after founder review
Atris AEO costs $2,000/month for a focused pilot covering audit, agent-readable fixes, workflow testing, scorecard, and the next approved distribution asset.
Discovery audit across the questions buyers already ask
Agent-readable surface: llms.txt, schema, workflow map, and source trail
Usability run showing where agents complete, stall, or fail
One proof packet with score, fixes, and the next outbound-ready asset
Frequently asked questions
Get answers about AI search, agent usability, and the pilot.
What is agent experience?
Agent experience is how clearly AI systems can discover, understand, cite, and use your product when a customer asks for help.
Which AI engines and agents does Atris target?
Atris AEO targets ChatGPT, Perplexity, Gemini, DeepSeek, Google AI, Claude Code, and agent workflows that need structured product facts.
How is this different from SEO?
SEO optimizes for ranked links. Atris AEO optimizes for AI answers, structured retrieval, and completed agent workflows.
How is Atris AEO different from alternatives?
Unlike SEO tools, analytics dashboards, or generic content agencies, Atris AEO combines answer discovery, agent-readable fixes, workflow testing, and proof packets in the customer workspace.
Do we need to rebuild our product?
No. The pilot starts as a thin agent layer over the existing surface: entity graph, llms.txt, workflow maps, schemas, and failure fixes.
What makes Atris different?
Atris keeps the entity graph in the customer workspace and closes the loop with task evals, scorecards, and account-specific learning.
What does Atris AEO cost?
Atris AEO costs $2,000/month for a focused pilot covering audit, agent-readable fixes, workflow testing, scorecard, and the next approved distribution asset.
How do I start a trial or buy Atris AEO?
Start the Atris AEO pilot intake to request founder review; after approval, Atris creates the checkout for the $2,000/month pilot so you can buy the first month and begin the proof loop.