Benchmarking
Know where coding agents choose you. Know what to improve where they don’t.
Benchmark your product against alternatives across real coding tasks. Get findings that explain their choices and a prioritized playbook of recommended changes to positioning, features, docs, and tooling.
Used by teams at leading enterprise developer tool and infrastructure companies.
Benchmarks, findings, and playbooks
See where your product gets chosen.
Run real coding agents in real repositories and isolated environments. Compare choices across tasks, agents, and competitors, then inspect the sessions behind the numbers.
Error monitoring / Product selection
Where coding agents choose Beacon.
Compare your product with alternatives across coding agents and development tasks.
| Product | Primary choice |
|---|---|
| Beacon | 58% |
| Alternative A | 24% |
| Alternative B | 13.3% |
| No selection | 4.7% |
Analysis / Leaderboard
Know where you stand in the choices agents make.
See which products agents select for the tasks your customers care about. Separate being mentioned from being recommended as the primary choice, and compare your position with the alternatives.
- Primary choices, alternatives, and mentions
- Comparisons within a category and task
- Differences across coding agents
Explore leaderboard with us.
Explore the leaderboard and the benchmark behind each comparison.
See a demoAnalysis / Agent comparison
A strong overall score can hide an agent you’re missing.
Compare how different coding agents respond to the same tasks. Find where your product is consistently selected and where another agent chooses a competitor or takes a different approach.
- Selection by coding agent
- The same task set across agents
- Areas that deserve a closer look
Explore agent comparison with us.
See how your team can investigate differences between agents.
See a demoAnalysis / Agent journeys
Follow the steps behind a product choice.
Inspect a recorded session to understand what the agent searched for, which pages it encountered, what it said about your product, and what it chose. Go from an aggregate result to the evidence behind an individual decision.
- Recorded searches, sources, and messages
- Product understanding in the context of the task
- Evidence behind selections and missed capabilities
Explore agent journeys with us.
Walk through a complete agent journey with our team.
See a demoAnalysis / Citations
See which sources show up in agent answers.
Explore the domains and pages agents cite, including your documentation and competing sources. Identify which parts of your product are represented and where agents may be getting an incomplete picture.
- Cited domains and individual pages
- Your sources alongside alternatives
- Connections to the answers and sessions behind a finding
Explore citations with us.
Explore source coverage and its relationship to product understanding.
See a demoA finding your team can act on
Agents overlook a capability you already support.
An agent passes over Beacon for a browser-and-server task because it understands the product as browser-only. The capability exists; the agent has missed it.
- Agent’s understanding
- Browser monitoring only
- Product capability
- Browser and server monitoring
A lost choice can point to a misunderstanding, rather than a missing feature. Amplifying helps your team tell the difference.
Explore key findings with us.
See how findings connect observed behavior to supporting evidence.
See a demoRecommendation excerpt / Positioning and documentation
Make the product’s supported use cases easier to recognize.
Review how Beacon presents its capabilities to coding agents. Prioritize the places associated with this misunderstanding.
A playbook for your product.
Amplifying recommends and prioritizes changes for your team. Each action connects to a finding and a way to assess whether the change helped.
Explore the full playbook in a demo:
- Priorities grounded in the findings
- Recommendations for your product, docs, positioning, and tooling
- Supporting evidence and ways to assess a change
Explore actions with us.
Review a complete playbook, its priorities, and the evidence behind each recommendation.
See a demoUnderstand your position across coding agents.
Compare primary choices, alternative recommendations, and mentions across the tasks that matter to your market. See which competitors agents select, and where the pattern differs between coding agents.
Findings explain what agents do and why it matters.
See where agents misunderstand your product, overlook a capability, or choose an alternative. Each finding connects the observed behavior to supporting sessions and citations, so your team can see the evidence behind it.
A playbook of recommended changes.
Amplifying recommends specific changes to your positioning, product features, documentation, examples, and agent tooling, then prioritizes them in an action playbook. Each action explains what to change, which finding supports it, and how to check whether it helped.
Use Ground Control to compare how agents complete the task before and after a change.
See Amplifying in action.
Tell us what you’re working on. We’ll show you where Amplifying can help.