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How AI Tells You Whether a Prospect Is Actually Going to Buy

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The question that never goes away: Are they actually going to buy?

Every salesperson lives with one question that follows them all the way to closing.

"Is this person actually going to buy?"

A fast reply doesn't tell you. A booked meeting doesn't tell you. Even a pricing request doesn't tell you. So most reps fall back on gut feel. "I have a good feeling about this one." "This one's just kicking the tires."

The gut is sometimes right. Often wrong. And the bigger problem isn't being wrong β€” it's that when gut is wrong, there's no data to learn from. So the same misreads repeat next quarter, and the next.

"Buying signals" are already there. We just can't read them all at once.

The truth is, prospects are constantly broadcasting whether they're serious. The signals are real:

  • What questions they ask
  • Which sections they keep coming back to
  • How many times they revisit
  • What they put in writing when they reach out

A salesperson reading these one by one for ten prospects? Possible. For fifty? Impossible. The signals exist but get lost the moment a pipeline scales.

Saleslink hands this reading job to AI.

Saleslink's Buying Intent Analysis

After a prospect explores your materials and leaves, AI automatically reviews everything they did and reaches one conclusion.

It looks at three sources:

  1. Every chatbot question they asked β€” what topic, what tone, what specificity
  2. Email inquiries they submitted β€” generic curiosity vs. specific terms
  3. Behavioral footprint β€” visit count, return visits, where they spent time

It synthesizes the three and gives you one clean signal:

Buying intent: High / Medium / Low

What the three tiers actually mean

The tiers aren't just numbers. Each one demands a completely different next move.

πŸ”₯ High β€” On the edge of buying

Specific questions appear: pricing, payment terms, implementation timeline, contract conditions. This person has essentially decided. What's left is friction β€” final negotiation, scheduling, the last mile.

β†’ Reach out now. Help them remove the last barrier. Wait too long and the moment passes to a competitor.

🌱 Medium β€” Actively evaluating

Questions are exploratory: features, specs, comparisons to other tools, use cases. Interest is real, but they're still in evaluation mode.

β†’ Send supporting material. Case studies, comparison sheets, demo recordings. Don't push for a meeting yet β€” that reads as pressure. Make their evaluation easier.

πŸ’§ Low β€” Early curiosity

Questions are general: "What is this?" "Who's behind it?" Interest is shallow β€” information gathering, not decision-making.

β†’ Spend less time. Keep them in your orbit through low-touch channels (newsletter, occasional update). Don't over-invest.

The single most useful thing about these tiers: time allocation becomes obvious. No more agonizing over who to call first. The list sorts itself.

Beyond the score: the summary that makes it actionable

The intent label alone wouldn't be enough β€” a sales rep won't trust a number without context. So Saleslink's analysis ships a three-line summary alongside every prospect.

  • Need β€” what this person actually wants (1-2 sentences)
  • Behavioral insight β€” the pattern in how they engaged
  • Recommended action β€” what the rep should do next

That last line is the one that changes how reps work. Example:

"Send a one-pager covering installment options and the fastest possible onboarding timeline."

It's like having a sales co-pilot reading every prospect's body language and whispering the next move. The rep doesn't need to do the analysis themselves. They just need to decide whether to follow the recommendation.

The analysis also breaks down which products this prospect engaged with most, with intent level and key quotes attached to each β€” so the rep knows not just who is hot, but what they're hot for.

What this looks like on the dashboard

Open the Buying Intent panel and three things show up at a glance:

  • This week's count of High / Medium / Low prospects
  • A list sorted by intent strength, highest first
  • A one-line summary under each name

A rep starting their Tuesday morning sees a pre-prioritized list: who needs a call today, who needs a follow-up email, who needs nothing yet. Decision fatigue evaporates before the first coffee.


Where sales finally graduates from "gut" to "observation"

The real value of intent analysis isn't the score. It's the reasoning that comes attached to the score.

  • A score alone? Reps don't trust it
  • A score + the questions and behaviors that produced it? Reps trust it
  • Trust over time? The rep's intuition starts aligning with the data
  • Aligned intuition + data? Sales style itself sharpens, deal by deal

That's where sales stops being a guessing game and starts being an observation game. And observation, unlike intuition, gets better with practice.


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