DemandGrade

More people are asking. Are they ready to buy?

DemandGrade grades how ready to buy people are, from the Google searches that find your site to the searches, chats, and forms on it. One grade each week, and what moved it.

Get early access Grade your own questions free

Free private beta for B2B marketing teams.

What people typed this week
  1. Googleledgerline vs netsuiteBuying
  2. Site searchsso oktaEvaluating
  3. ChatPricing for 40 users?Buying
  4. Googlewhat is accrual accountingLow intent
  5. Site searchcareersOut of market
B+
41% likely buyers Up from B last month

More traffic isn't more buyers. Your tools count Google searches, site searches, chats, and form fills. None of them tell you how many came from people ready to buy.

What your dashboard says +8% more searches, chats, and form fills.
What it doesn't say −12% fewer of them from likely buyers.

What a grade gets you. More traffic is easy to show. A grade shows whether it's the kind that buys.

Spend where buyers come from. See which channels and topics bring people ready to buy, not just more people. Then put budget and content behind those.

Spot a slowdown before sales does. When fewer buyers are asking, the grade drops that week. You don't wait for deals to dry up to find out.

Report buyers, not traffic. Give leadership one number for the quality of demand, and show when your work moved it.

How it works

  1. Connect what you have. Google searches that find your site (from Search Console), what people search for once they're on it, and chat and form messages. Read-only.

  2. We sort every question. From ready to buy down to just browsing. Start with our built-in rules, or write your own for your brand, products, and competitors.

  3. You get one short report, every week. The grade, the trend, and what moved it. Enough to tell you whether demand is getting better or just bigger, and why.

    B+
    41% likely buyers +5 points in 8 weeks

    What moved it

    • More pricing questions in chat and forms
    • More teams asking about switching from NetSuite
    • Fewer how-to searches, which don't buy anyway

See your own grade in 10 seconds

Paste last week's searches or chat questions, or import a Search Console export. Free, no signup.

Try the free grader

Get early access. We're opening to a small first group. Free for the whole beta, with a say in what gets built first.

Best fit: at least two of Google search, site search, chat, and forms. Nothing gets connected until you say so.

Tell us about your setup Optional

We'll only use your email for the beta. No newsletters. See our privacy notice.

Questions

What does the grade measure?

The share of everything people type to you that comes from likely buyers, and which way it's moving. An A means mostly buyers. An F means very few. Job seekers and existing customers are left out, so they don't drag it down.

How do you sort the questions?

Into five tiers. Brand: they already know you. Buying: pricing, demos, you vs. a rival. Evaluating: features, integrations, security. Low intent: how-to, what-is, and everything else. Out of market: job seekers and existing customers, left out of the grade. The first three count as likely buyers. Built-in rules cover the common cases. Add your own rules for brand terms, products, competitors, or anything that signals a buyer in your market; your rules always win, a model sorts whatever they don't cover, and you can move anything by hand.

Can't my current tools do this?

Each sees a slice. Semrush labels keywords you track, not your real queries. GA4 and Algolia list raw site search terms. Chat tools group topics. HubSpot counts form fills as leads without reading them. None put one scale across all of them and track it week to week.

Can I use it now?

Not yet. It opens to a small first group, free for the whole beta. Sign up and we'll email you about timing. You can try the free grader today.

What happens to my data?

We only ask for read-only access, and only once you say so. Your data powers your reports and nothing else. We don't sell it or use it to train AI models.