How AI Visibility Scores Accelerate Lead Generation for SDRs

The days when a single cold call could open the door to a new account are long gone. Today, Sales Development Representatives (SDRs) work in an environment where prospects research solutions across search engines, social platforms, and—more recently—AI-powered assistants. If your company fails to show up in those AI conversations, you are invisible long before the first outbound email is written.

The changing landscape of B2B lead generation

Gartner reports that 83 percent of a typical B2B buying journey now happens without direct interaction with sales. Much of that discovery is mediated by algorithms that surface brands perceived as relevant and authoritative. The shift leaves SDR teams asking a new question: Are we visible where buyers search, especially within AI tools?

Project 40 set out to answer exactly that. Its offering—AI Visibility Score—helps organizations understand and benchmark how often they appear in AI-driven search and recommendation results. While the methodology is proprietary, the output is straightforward: a single score that indicates whether your brand can be found by AI systems that influence buyer decisions.

Defining the AI Visibility Score

An AI Visibility Score aggregates signals such as:

• Presence in AI search snippets and conversational responses
• Inclusion in AI-generated product comparisons
• Brand mentions across machine-curated news feeds
• Technical metadata that AI models use for ranking

The higher the score, the more likely it is that a prospect using ChatGPT, Gemini, Copilot, or similar tools will encounter your company during their research phase. Importantly, Project 40 distills these complex signals into a metric that non-technical teams can act on.

Why visibility data matters to SDR teams

SDRs succeed by contacting the right person, with the right message, at the right time. Visibility data sharpens each pillar:

• Account prioritization: Prospects who already see your brand in AI responses require less education and move faster through the funnel.
• Personalization at scale: Knowing which topics trigger your appearance in AI outputs lets SDRs tailor messaging around proven hooks.
• Timing signals: Sudden drops in visibility can alert teams to bolster content or adjust outreach before lead volumes decline.
• Competitive context: The score highlights when rivals start outranking you in AI answers—valuable intelligence when crafting competitive plays.

Actionable ways to use visibility insights for more leads

Below are practical steps SDR managers can implement within a single quarter:

1. Build a visibility-first lead list.
   Export your top-scoring companies from Project 40 and upload them to your CRM. These “warm” accounts should form the core of your next outbound cadence.
2. Refine talk tracks.
   Analyze the keywords and questions that surface your brand in AI tools. Use this language in subject lines, voicemail drops, and social touches to improve reply rates.
3. Collaborate with marketing.
   Share low-visibility segments so content teams can create assets that close the gap—resulting in more ai sdr opportunities down the road.
4. Set quarterly visibility KPIs.
   Track AI Visibility Score alongside traditional metrics like meetings booked and pipeline created. Early adopters often see a positive correlation between score improvements and qualified LEADS.

Getting started with Project 40

If you want to know where you stand before your competitors do, request an AI Visibility Score assessment from Project 40. You’ll receive:

• A baseline score for your domain
• Competitive benchmarking
• Priority recommendations for SDR and marketing teams

Ready to unlock data-driven lead generation? Contact Project 40 to schedule a demo and start converting visibility into revenue.