The shift
The call is the new click.
Search gave buyers a list of links. Agents complete the job by choosing and using an Integration. ATO helps your Integration reach that decision.
Your buyer asks
The buyer gives Claude the whole job instead of browsing search results. Their Prompt describes the outcome they want.
Claude shortlists
Claude considers the Integrations that could complete the request and shows the buyer a shortlist of suitable Connectors.
One gets the call
The buyer connects one, or Claude invokes one directly. That Integration completes the job inside the conversation.
How Claude decides
One Prompt. Three contests.
Found, Picked, and Positioned describe the path from a buyer’s request to the shortlist they see. We measure each stage separately.
Your buyer types
Find me a quiet beachfront hotel for next weekend.
Who gets the call?
Hotels.com
Tripadvisor
Super.comFound
Claude creates a set of Integrations that could help with the request. Found tells you whether your Integration entered that set.
If you are not Found, you cannot be Picked.
Find me a quiet beachfront hotel for next weekend.
Integrations considered for this request
Picked
Claude checks which candidates can do the job and keeps the best matches. Picked tells you whether your Integration reached that shortlist or was invoked directly.
Picked is the Claude Discoverability Score.
3 of 6 candidates reached the shortlist
Positioned
The shortlisted Integrations appear in an order. Positioned tells you where your Integration appeared among the options shown to the buyer.
Position shows prominence after you were Picked.
Claude · ConnectorsChoose a hotel Connector
Position and movement since the previous measurement window.
Your public score
One number: how often Claude picks you.
The Claude Discoverability Score is your public benchmark score. We run Prompts within each Subcategory and measure your Picked rate: the share of contested Runs where Claude puts your Integration on the shortlist or invokes it directly. It shows how you perform in that Subcategory, not the specific customer Intents your business may want to win.
#3 of 14 in Hotel Search & Booking
One core score. Three important factors to discoverability.
Picked
· 70.9/100Did your Integration reach the shortlist or get invoked?
Found
· 18.9/100Was your Integration among the options Claude considered?
Positioned
· 27/100Where did your Integration appear in the shortlist?
Published Claude formula
A contested Run is one where an Integration choice appeared. A direct invocation also counts as Picked. Too little evidence means the score stays Pending.
Invisible
0–9
Buried
10–39
Emerging
40–59
Competitive
60–79
Winning
80–100
Go beyond the public benchmark
Get your score for your target Intent.
Your current score is the public benchmark for your Primary Category. To get the most accurate view of your discovery, set your target Intent and measure your discoverability against the Prompts you want to win.
Sign up to the platformA new optimisation discipline
You do not optimize with AEO. You optimize with ATO.
The connector picker creates a new discovery layer: a high-intent surface where relevant companies can be found, compared and selected at the moment a user is ready to act.
Claude does not begin with every available connector. For each prompt, it retrieves the tools it believes may assist the user, decides which should advance into the connector picker and determines the order in which they appear.
Answer Engine Optimization (AEO) improves how accurately a company is represented, cited and recommended when an AI system answers a question. It focuses on the content and information sources that answer engines retrieve and validate. It does not improve whether an agent finds, ranks or picks a callable tool.
Agent Tool Optimization (ATO), as coined by AgentDiscoverability.com, improves whether a product’s callable tools are found, picked and positioned when an AI agent decides how to fulfil a user’s intent. It focuses on the names, descriptions, schemas, metadata, documentation and other signals that help agents discover and choose between available tools.
Answer Engine Optimisation
AEO wins the citation.
AEO helps information get found, trusted, and cited in an answer.
Your content is cited.
Agent Tool Optimisation
ATO wins the invocation.
ATO helps a callable Integration get discovered, selected, and used.
Your Integration is invoked.
How to optimise
Measure. Diagnose. Improve. Verify.
Run the customer Intents your Integration should win, identify where visibility is lost, make focused improvements, and measure the same Intents again.
Measure
Run priority customer Intents repeatedly and track Found, Picked, and Positioned.
Diagnose
Identify the stage where visibility is lost and what needs to become clearer.
Improve
Make focused changes that address the specific stage where visibility is being lost.
Verify
Run the same priority Intents again and confirm that outcomes improved.
Continuous, not one-off.
Scores refresh daily. Each new window shows whether your Integration is becoming easier for agents to discover and choose.
Evidence and research
Real Runs. Evidence you can open.
We run natural Prompts under consistent conditions, record the visible outcome, and keep the evidence needed to review every result.
- 01
Represent real jobs
Prompts represent the jobs buyers ask agents to complete.
- 02
Run live conversations
We repeat them under consistent conditions so results are comparable.
- 03
Record the outcome
Each Run keeps the result and supporting evidence.
- 04
Review the evidence
Each result can be checked against the captured conversation and evidence.
Check your own score.
Check how discoverable your brand is on this new surface.