For self-serve APIs, devtools, and AI products

Can AI agents
buy your product?

We simulate the full AI buying journey and show where it breaks.

Run Evaluation → See How It Works

Results in 2 minutes · Score + diagnosis + fixes

Best fit for teams selling through docs, pricing, and self-serve onboarding

APIs Developer Tools Infrastructure AI Products PLG SaaS Founder-Led Teams
AR
Agent Readiness Platform Discover what agents miss. Fix what blocks selection.

See your agent readiness at a glance

One score, three buyer-stage signals, and a quick read on where agents drop off in your funnel.

1Discovery signal: can agents find and identify your product from public surfaces?
2Preference signal: do agents rank you above competitors on docs, pricing, and trust?
3Setup signal: is your onboarding path clear enough for an agent to follow?
Run Free Evaluation

See exactly why agents ranked you lower

One root cause, backed by real evidence from your site and your competitor's. No guesswork.

1Target evidence: what agents found (or didn't find) on your pages.
2Competitor evidence: what the winning vendor did better in the same evaluation.
3Both sides shown so the diagnosis feels substantiated, not asserted.
See Sample Evaluations

Ship the fixes that matter first

Each recommendation names the target page, the change type, the owner, and the expected impact.

1Target page and change type so your team knows exactly where to start.
2Owner assignment so the fix lands on the right team's backlog.
3Expected impact so you can prioritize the highest-leverage changes.
Get Your Fix List
Agent Readiness Score
76 Agent Readiness
Discovery100%
Preference42%
Setup Path55%
Pages analyzed8 public pages
Competitors compared2 vendors
Root Cause + Evidence
Critical Root Cause

Weak differentiator messaging vs. competitors

Agents understand the category, but the target page does not clearly state why it should be chosen over alternatives.

Target evidence square.com
"Accept payments, manage hardware, and run your business in one place."

Broad platform language. Does not state a sharp reason an agent should prefer it.

Competitor evidence stripe.com/docs
"Quickly integrate payments with one API, prebuilt checkout, billing, fraud protection, and extensive developer docs."

The competitor makes the setup path and developer fit explicit.

Top Fixes
Clarify why this product wins for developer-led payments Medium effort

Add sharper positioning that names developer use cases, setup speed, and why the product should be chosen over competitors.

Target pagesquare.com
Change typeAdd comparison-focused hero section
OwnerMarketing / product marketing
Expected impact: agents distinguish the product faster and rank it higher during preference.
Add trust and setup proof for self-serve evaluation Medium effort

Publish a dedicated trust/setup page with security claims, uptime references, and a machine-readable setup path.

Target pagesquare.com/trust
Change typeAdd trust page + setup quickstart
OwnerSecurity / docs
Expected impact: agents discover trust signals sooner, less likely to rank competitors higher on setup confidence.
Panel 1 of 3
Why Now

AI-Mediated Buying Is Already Shaping Self-Serve Software Research

Third-party market signals already point in the same direction: more software research is happening without sales, through AI and public product surfaces.

61%

B2B buyers prefer a rep-free buying experience. That puts more pressure on your docs, pricing, and onboarding to do the selling. Source: Gartner, 2025.

79%

Software buyers say AI search has changed how they research tools. If agents and AI assistants are part of discovery, your public product surfaces matter more. Source: G2, 2025.

84%

Developers using AI agents at work use them for software development tasks. That makes agent-readable docs and setup paths increasingly relevant for technical products. Source: Stack Overflow, 2025.

What We Evaluate

Discover. Choose. Integrate.

If your product is bought through docs, pricing, and onboarding, we show you exactly where agents drop off.

1

Discover

Can the agent find and identify your product? We test if AI recognizes your category, reads your homepage, and puts you on the shortlist — or skips you entirely.

2

Choose

Does the agent prefer you over competitors? We run head-to-head comparisons on docs quality, pricing clarity, and trust signals to see who wins — and why.

3

Integrate

Can the agent understand the setup path well enough to plug your product into a workflow? We test if signup, auth, and first API call are machine-readable.

How It Works

From URL to Actionable Fixes in Minutes

Five steps to a complete agent readiness assessment.

1

Submit Your Product URL + Competitors

Enter your website, up to 5 competitors, and the task scenario you want evaluated. Takes 10 seconds.

2

AI Agents Discover Vendors

Multiple LLM models independently discover your product, read your docs, pricing, and feature pages as a potential buyer would.

3

Agents Rank by Fit + Trust

Each agent forms a preference ranking based on feature match, documentation quality, pricing clarity, and integration complexity.

4

Agents Follow the Setup Path

Agents draft step-by-step setup plans, checking whether signup, authentication, and first-call setup are clearly documented and machine-readable.

5

Get Your Score + Fixes

Receive scores across all funnel stages, competitive comparison, root-cause diagnosis, and prioritized engineering recommendations.

Not Another AEO Tool

We Go Beyond Content Optimization

Most AEO tools stop at visibility. We start where they end.

What AEO tools do

  • — Track if AI models mention your brand
  • — Monitor citation frequency and position
  • — Optimize content for AI-generated answers
  • — Measure visibility across LLMs
  • — Suggest keyword and content changes

What we do

  • ✓ Test whether agents can shortlist you from your public buyer surfaces
  • ✓ Compare your docs, pricing, and trust signals against competitors
  • ✓ Diagnose exactly where your buying funnel breaks
  • ✓ Show whether signup, auth, and first-call setup are machine-readable
  • ✓ Deliver evidence-backed fixes your team can ship today
What You Get

Methodology You Can Understand, Output You Can Use

Same Journey
Across Public Buyer Surfaces
Homepage, docs, pricing, trust, signup, and setup path are evaluated through the same buyer journey each run.
3 Models
Cross-Model Signal
Leading models evaluate the same scenario so you can spot stronger patterns, not just one-model artifacts.
Score + Fixes
Competitive Report
See where agents drop off, how competitors outperform you, and which fixes to ship first.
Case Studies

Real Evaluations, Real Insights

See how leading developer tools perform when AI agents try to buy them.

Email APIs

SendGrid vs Resend vs Postmark

We ran three AI agents through a full buying simulation for transactional email. Product clarity beats product breadth.

Read evaluation →
Databases

Supabase vs Firebase vs Neon

AI agents evaluated three database platforms. Single-command setup wins the agent buying funnel every time.

Read evaluation →
Payments

Stripe Agent Readiness

Even the gold standard has agent readiness gaps. More docs does not equal more agent-friendly.

Read evaluation →

Your Competitor’s Agent Score Is Higher

Find out why. First eval free. Then pay as you go — from $0.73/eval.

See Your Agent Readiness Score →