What Is an Agentic Score?
What is an Agentic Score?
An Agentic Score is a 0–100 rating of how ready your website is for the AI agents that increasingly sit between your customers and your product. It answers one blunt question: when a person asks ChatGPT, Claude, Gemini, or Perplexity to find or buy a tool like yours, can the machine actually find you, understand you, recommend you — and complete the purchase? For twenty years the web optimized for two audiences: human eyes and Google's crawler. A third audience has arrived — autonomous AI agents that read, decide, and increasingly act on a person's behalf. The Agentic Score measures how well you serve that third audience. A high score means agents can find you and transact with you. A low score means that no matter how good your product is, the machine can't see it, can't describe it, or can't buy it — so it recommends someone else.
What does an Agentic Score actually measure?
It combines two things most tools treat separately. Visibility — do the models know you exist and surface you when someone asks about your category? This is about how often and how consistently you're described across the sources models learn from, whether your positioning is stated in plain, extractable language, and whether third parties corroborate what you say about yourself. Transactability — if an agent tries to act (compare plans, sign up, buy), can it complete the task, or does it hit a wall? This covers machine-readable pricing, explicit plans and terms, structured data describing your offer, a signup flow that doesn't demand a human, and clean crawler access to the pages that matter. Being recommended but not transactable is a leak: the agent suggests you, tries to act, fails, and moves to the competitor it can complete. Both halves have to work.
Why does this need its own metric — isn't this just SEO?
No, and the difference is the whole point. SEO answers "will a human find you among ten blue links?" Agentic readiness answers "will a machine choose you when there are no links at all — just one answer?" In a ten-link world, being ranked sixth still earns clicks. In a one-answer world, being the model's second choice earns nothing, because the agent acts on the first. That compresses everything into a winner-take-most dynamic, and it rewards signals traditional SEO barely touches: extractable plain-language claims, corroboration across sources, structured data, and the ability to complete a transaction without a human. You can have excellent SEO and a poor Agentic Score — plenty of well-ranked sites are effectively invisible to agents.
How is the Agentic Score calculated?
AIScoring runs a battery of checks across the two dimensions. The transactability dimension is deterministic — the same site always produces the same score. These are objective, verifiable checks: is there valid Product/Offer schema? Is pricing exposed in machine-readable text rather than locked in an image or behind "contact sales"? Are AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) allowed to reach your key pages? Is there an llms.txt? Because it's deterministic, you can fix one item and watch the number move — which makes it useful as a working metric, not just a vanity score. The visibility dimension samples how the major models actually respond to category prompts about you. Because model outputs vary, we treat this as a directional signal tracked over time rather than a single frozen number, and our public score leads with the deterministic dimension so it stays reproducible. Every weight is published on our methodology page and versioned. No black box — if you disagree with a rule or a weight, you can see our reasoning and challenge it.
What is a good Agentic Score, and what's bad?
As a rough guide: an A means an agent can find you and complete a transaction with little friction — you're a safe default for the machine to pick. A B means you're in good shape with a few fixable gaps. A C means real friction: you may be recommended but hard to act on, or transactable but rarely surfaced. A D or F means you're effectively invisible or unbuyable to agents today. Most sites score lower than their owners expect on first scan. That's not a failure — it's the starting line for a web that was never built for this audience. The good news is that the deterministic items are the cheapest points on the board: schema, robots rules, and an llms.txt can often be fixed in an afternoon.
How do I improve my Agentic Score?
Start with the deterministic wins because they're fast and fully in your control: add structured data, expose pricing in text, publish an llms.txt, and make sure you aren't accidentally blocking AI crawlers. Then invest in the slower, compounding work: state what you do in one plain sentence near the top of the page, use the category words buyers actually type, and earn consistent third-party corroboration in the directories, reviews, and communities models read. Re-scan after each change and watch the number climb.
Frequently Asked Questions
- Is an Agentic Score the same as a credit score?
- No. Despite the word "score," it has nothing to do with credit or finance. It's a measure of how ready your website is for AI agents — whether they can find, recommend, and buy from you.
- How often does my Agentic Score change?
- The deterministic (transactability) portion changes only when your site changes — fix an item and it updates on the next scan. The visibility portion can drift as models and your reputation evolve, which is why ongoing monitoring is useful.
- Can I improve my Agentic Score myself, without a developer?
- Many of the highest-impact fixes — publishing an llms.txt, exposing pricing in text, correcting crawler rules, adding basic schema — are lightweight. Our Deep Audit generates the actual files so you can apply them without writing them from scratch.
- Which AI models does the Agentic Score consider?
- The major agents people actually use: ChatGPT, Claude, Gemini, and Perplexity, plus the crawlers behind them.
- Does a high Agentic Score guarantee AI will recommend me?
- No score can guarantee a model's output. A high score removes the technical and structural reasons you'd be skipped and makes you easy to find, describe, and transact with — which is everything within your control.