Pay with Airi
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- Rank
- Top 70%Prev: #0 · top 70% of 518 tracked
- #364
- Finance rank
- Sector average 73.1
- #39 of 53
- Benchmark runs
- 3 providersAcross 3 providers
- 1
- Finance average 73.1
- −5.7
- Market average 72.5
- −5.1
Pay with Airi could see ~$55,420,000 of processed value exposed to agent-led journeys each year
Public agent-traffic forecasts suggest a growing share, modeled here at roughly 34%, of account opening and transaction initiation sessions in the finance sector could be initiated or completed by AI agents[1][2]. Pay with Airi currently scores 67.4 on the Index[3], roughly 5.1 points below the finance peer average, leaving a 33-point gap to the ideal agent experience (100). The illustrative figure below applies that gap to the agent-driven slice of a typical annual processed transaction value baseline for this sector. It is a directional estimate, not a measured conversion rate.
- Gap to leader
- 32.6 pts
- Below finance avg
- 5.1 pts
- Modeled flows at risk
- $55,420,000
Estimate assumes a $500M annual processed-value baseline. Claim your domain to replace this placeholder with your reported processed value.
Category breakdown
Strongest is Brand awareness; weakest is Market ranking.
Category breakdown
Strongest is Brand awareness; weakest is Market ranking.
Score over time
Every run against the Finance and market medians.
Score over time
Every run against the Finance and market medians.
One run so far, on 29 Sept 2026. The line fills in as the Index re-runs it each month.
- This site
- Finance median
- Market median
Each category over time
- Brand awareness93
- Discovery47
- Information retrieval69
- Market ranking34
- Accuracy91
- Task completion58
- Delegated access67
- Contact & communication43
Every run, as a table
| Run | This site | Finance median | Market median |
|---|---|---|---|
| 29 Sept 2026 | 67.4 | 79.8 | 76.3 |
Medians are by month: each domain counts once, at its newest run that month. Dates are UTC. Latest run 29 Sept 2026.
Agents
Gemini does best. Each provider's model and every session behind its score.
73.5
Agents
Gemini does best. Each provider's model and every session behind its score.
How these are scored
The score beside each provider is its session quality over a rolling 30 days, from at least 10 sessions per provider.
Scores run 0 to 100. Each is one agent on one task, graded against that task’s fixed rubric, so no agent marks its own work. The median under a score is the sector median: the middle score for the same category, or the same provider, across the other Finance sites the Index has sent agents to.
- Excellent85+
- Good72-84
- OK58-71
- Poor40-57
- Critical<40
Latest run 29 Sept 2026 (UTC). Anyone signed in can re-run it from 30 Sept 2026, 17:17 UTC.
ClaudeAnthropic08 tasks72.9
- Market rankingmarket-ranking-ecom-v2 · 9s43median 60 Done
- Contact & communicationsupport-ecom-v1 · 48s43median 66 Done
- Delegated accessdelegated-access-ecom-v1 · 2m 10s89median 64 Done
- Discoveryjourney-ecom-v1 · 2m 47s49median 51 Done
- Task completionjourney-ecom-v1 · 2m 49s49median 88 Done
- Brand awarenessresearch-ecom-v1 · 3m 13s98median 91 Done
- Information retrievalresearch-ecom-v1 · 3m 15s76median 52 Done
- Accuracyresearch-ecom-v1 · 3m 13s99median 84 Done
ChatGPT AgentOpenAI06 tasks67.8
- Market rankingmarket-ranking-ecom-v2 · 20s43median 60 Done
- Delegated accessdelegated-access-ecom-v1 · 7m 42s85median 64 Done
- Task completionjourney-ecom-v1 · 8m 28s58median 88 Done
- Discoveryjourney-ecom-v1 · 8m 26s0median 51 Done
- Brand awarenessresearch-ecom-v1 · 9m 33s100median 91 Done
- Information retrievalresearch-ecom-v1 · 9m 34s65median 52 Done
GeminiGoogle07 tasks73.5
- Market rankingmarket-ranking-ecom-v2 · 10s43median 60 Done
- Delegated accessdelegated-access-ecom-v1 · 4m 50s76median 64 Done
- Discoveryjourney-ecom-v1 · 6m 15s43median 51 Done
- Task completionjourney-ecom-v1 · 6m 17s46median 88 Done
- Accuracyresearch-ecom-v1 · 7m 29s100median 84 Done
- Brand awarenessresearch-ecom-v1 · 7m 29s98median 91 Done
- Information retrievalresearch-ecom-v1 · 7m 30s76median 52 Done
Where agents get stuck
20 issues, worst first.
Where agents get stuck
20 issues, worst first.
Show 16 more issuesShow fewer
Want to find these in your own flows before an agent does? Read how to test your product for AI agent users.
Technical readiness
The protocol baseline: robots, sitemaps, llms.txt, structured data and more.
26/100
Technical readiness
The protocol baseline: robots, sitemaps, llms.txt, structured data and more.
Protocol baseline by Is Agentic
- Score
- 26/ 100
- Agents are likely to struggle
- Essential
- 20/ 80
- 2 of 8 passing
- Recommended
- 5/ 20
- 3 of 14 passing
- Bonus
- +0.8
- 4 positive signals
Show 14 more issuesShow fewer
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