For sales leaders, BDRs, and AEs

AI Prospect Research: 1-Page Brief in 60 Seconds, Not 90 Minutes

A diligent BDR spends 60 to 90 minutes researching each prospect before outreach: LinkedIn, company site, recent news, podcasts, press, organisational structure. AI does that research in 60 seconds, produces a 1-page brief, and drafts a personalised opening line. Your team spends saved time on conversation, not research.

Used by Australian SaaS, professional services, recruitment, and B2B services teams to scale outbound by 5 to 10 times per SDR, and to walk into every AE call already briefed on the prospect.

Book a Research Scoping Call (03) 9003 0111

Realistic ROI

60 to 90 minutes

Research time saved per prospect

AI does in 60 seconds what manual research takes 90 minutes

Much higher

Outbound throughput per SDR

Research bottleneck removed, SDR spends time on outreach

$3K to $6K

All-in monthly cost

Versus $80K to $130K per year for an additional SDR

14 days

Pipeline live in your tooling

Pipeline integrated with HubSpot / Salesforce / Pipedrive

Why AI Prospect Research Is the Highest-Leverage Sales Investment

Pre-call research is the single most expensive activity in B2B sales, and the single most automatable. Three properties of AI research change the unit economics.

1 million token context: full prospect picture in one read

Claude Opus reads a prospect's LinkedIn profile, last 30 posts, company site, 5 recent press releases, 3 podcast appearances, and your CRM history in a single prompt. Synthesises into a 1-page brief. A human reading the same material would take 90 minutes; the AI takes 30 seconds.

Personalisation hooks the human researcher would miss

AI surfaces patterns across the prospect's recent activity that a quick scan would miss: 4 podcasts in the last 90 days all mention the same pain, the prospect's company is hiring 8 senior engineers for a new product line, their last 3 LinkedIn posts are about a specific objection. The personalisation is sharper, not just faster.

1-page brief in your house format

Output is a 1-page brief structured the way your sales team thinks: prospect background, company context, trigger events, fit score, suggested opener, AE talking points. Consistent format across every brief so AEs can scan in 30 seconds.

Integrates with the tools you already use

Brief gets dropped into HubSpot, Salesforce, Pipedrive, Apollo, Outreach.io, or Salesloft as a custom field or attached document. No new SDR-facing tool to learn. The brief shows up where the SDR already lives.

What an AI-Generated Prospect Brief Contains

Every brief, every prospect, every time, in the format your sales team uses.

Role + tenure + history

Prospect background

Current role, tenure, prior companies, education, recent role transitions, LinkedIn endorsements pattern, content focus.

Size, stage, recent news

Company context

Company size, growth stage, recent funding or acquisition, hiring pattern, tech stack, customer base, recent press, leadership changes.

Why now

Trigger events

AI surfaces the 1 to 3 trigger events that justify outreach now: new role, recent capital raise, expansion announcement, public initiative aligned with your offer.

3 specific conversation openers

Personalisation hooks

Three specific personalisation hooks: a recent podcast quote, a LinkedIn post observation, a company milestone, a panel they spoke at.

Numerical fit + risks

Fit score and disqualifiers

Fit score 1 to 10 against your ICP, plus any disqualifiers: company size mismatch, region issue, competitive vendor relationship.

AE-ready first message

Suggested opener

AI drafts the first message or call opener for the AE to use, polish, or rewrite. Saves the AE 5 to 10 minutes per prospect.

Six AU B2B Use Cases for AI Prospect Research

Task	Traditional	With AI Research	Notes
BDR researching 30 prospects per day for outbound sequencing	5 to 8 prospects researched per day per BDR	30 prospects researched per day per BDR	Outbound throughput 5 to 6 times higher. BDR spends time on sequence drafting and reply handling, not LinkedIn scrolling.
AE pre-call research for booked discovery	AE spends 20 to 30 minutes per discovery prepping	AE opens 1-page brief, scans 90 seconds before call	AE walks into discovery already briefed: prospect background, company context, trigger events, talking points. Discovery quality lifts immediately.
Recruitment researcher building executive search shortlists	Researcher spends 1 to 2 days per shortlist of 30	30-candidate shortlist with full briefs in 2 hours	Researcher capacity 3 to 5 times higher. Shortlists include current role, prior companies, recent activity, motivations, likely fit.
Account executive prepping for renewal conversation	AE checks CRM only, misses recent customer-side news	1-page customer brief: CRM history, recent press, leadership changes, expansion signals	AE notices customer hired a new CFO 60 days ago, surfaces in renewal as an expansion angle. Reactive renewals become proactive expansion plays.
Investment banker researching M&A targets	Junior analyst spends 4 to 6 hours per target	1-page target brief in 90 seconds	Analyst capacity 10 times higher. Initial filter on M&A target list completes in days instead of weeks.
B2B founder researching warm intros before networking event	Founder googles 5 to 10 attendees the night before	1-page brief per attendee, founder briefed on 30 attendees by event start	Founder walks into the event with a research-backed view on who to seek out. Networking yields 3 to 5 booked meetings per event versus 0 to 2.

Six Disciplines for AU Prospect Research Programs

Privacy Act and APP 11 for researched data

Storing prospect research creates APP obligations. Limit retention to a reasonable period (90 to 180 days), restrict access to the salesperson who needs it, and delete on request. We help configure APP-compliant research storage in your CRM.

Public sources only, never paid scraping of LinkedIn

LinkedIn scraping at API level violates TOS and creates risk. We use Sales Navigator (LinkedIn's own product) plus public sources (company sites, press, podcasts, news). No third-party scrapers that LinkedIn detects.

Verify trigger events before outreach

AI surfaces "this prospect just announced a Series B" but the announcement may be 9 months old. We embed a freshness check in the brief: every trigger event is dated. SDR uses only events within last 60 to 90 days.

Personalisation hooks must be authentic

A hook that references "your recent podcast appearance" when the podcast was 18 months ago feels stale. AI flags hook freshness; SDR uses recent hooks only. Better to skip personalisation than to reference stale content.

Brief is starting point, not finished research

AI brief is excellent for prospect overview but cannot read private information: champion identity, internal politics, prior interactions with sales. AE adds private context to the brief before high-stakes calls.

Track outcome to inform future research

Every booked meeting and lost deal gets tagged: which hooks worked, which research-driven angles converted, which trigger events were noise. Compound learning over 6 months produces a sharper research pipeline.

How Yes AI Helps AU Sales Teams Scale Research

Research brief template tuned to your sales motion

We capture your ICP, your sales methodology, your discovery framework, and your house brief format. Tune the AI prompt to produce briefs in your exact format. Briefs feel native, not generic.

Source list configuration

Configure the public sources the AI ingests per prospect: LinkedIn, company site, press, ASX announcements, ABN data, podcasts, conference speakers list. Sources tuned to your sector.

Integration into your sales stack

Brief delivered into HubSpot, Salesforce, Pipedrive, Apollo, Outreach.io, or Salesloft as a custom field or attached document. SDR and AE see the brief where they already work.

Outcome tracking and brief quality iteration

Track outcomes against research-driven outreach. Refine the brief template quarterly based on what worked. The research engine gets sharper over time, not staler.

Our 14-Day Prospect Research Pipeline Build

Most AU sales teams have the research pipeline live and producing briefs inside 2 weeks.

Day 1 to 3: Brief template workshop

Half-day session with sales leadership. Capture ICP, sales methodology, discovery framework, house brief format. Lock the brief template.

Day 3 to 7: Source list configuration

Configure public sources the AI ingests per prospect. Tune the AI prompt to produce briefs in your house format. Pilot on 20 sample prospects.

Day 7 to 10: Sales stack integration

Integrate brief delivery into your CRM and sales engagement tools. Brief shows up as a custom field or attachment where SDR / AE already work.

Day 10 to 14: Pilot with 2 to 3 SDRs / AEs

Pilot with a small cohort. Iterate on brief format based on feedback. Train the broader team on how to read and use briefs.

Day 14 onwards: Full team rollout + quarterly refinement

Full team uses briefs as part of their daily cadence. Quarterly review: refine brief template based on outcome data, retire stale sources, add new ones.

FAQ

How is this different from ZoomInfo, Apollo, Cognism?

Those tools give you contact data (email, phone, company). They do not synthesise the data into a brief. Our pipeline takes the contact data from your existing tool (or sources it fresh) and produces the 1-page brief. We complement your existing data tool; we do not replace it. Most clients run Apollo for contact data and our brief engine for synthesis.

Does the brief replace the human researcher?

For most AU mid-market sales teams that do not have dedicated researchers, the brief is the research. For larger sales teams with a research function, the brief is the first draft that the researcher polishes for top-priority accounts and uses as-is for standard accounts. Researcher capacity goes 3 to 5 times further.

What if the brief contains errors?

AI briefs occasionally surface incorrect inferences (especially for prospects with limited public profile). We tune the AI to flag confidence on each claim. Low-confidence claims show as "verify before use". SDR or AE catches and corrects before outreach. Error rate in tuned briefs is 2 to 5 percent of claims.

How does this work with our existing CRM?

Briefs sync into HubSpot, Salesforce, Pipedrive, or Zoho as a custom field on the Contact or Account record, or as an attached PDF. Triggers are configurable: brief on new lead, brief 24 hours before booked meeting, brief on account-level intent signal.

Can SDRs request a brief manually for a single prospect?

Yes. We deploy a Slack command or browser extension: paste a LinkedIn URL, request a brief, brief delivered in 60 seconds. SDR uses for ad hoc research on a hot inbound or a warm intro. Or run as a batch on the next 50 outbound prospects.

What does it cost?

Productized: $3,000 setup (template workshop, source config, integration, training). Then $500 to $2,000 per month for the AI processing layer (depends on prospect volume: 200 to 2,000+ briefs per month). Total all-in is $1K to $3K per month for an AU sales team that would otherwise need an additional researcher at $80K to $130K per year.

What sources can you pull from?

Public sources only: LinkedIn (via Sales Navigator), company sites, press releases, ASX announcements, ABN / ABR data, podcasts (via transcript search), conference speaker lists, industry trade press, public funding announcements. No private data, no scraped social media.

Can we run this for outbound at 1,000+ prospects per week?

Yes. The pipeline scales: 1,000 to 5,000 briefs per week is within standard capacity. The cost scales with volume but the unit economics improve at scale because the prompt and template are already tuned. We have AU clients running 2,000 to 3,000 briefs per week for high-velocity outbound.

Book a Research Scoping Call

We will look at your current research workflow, your ICP, and your sales motion. We will give you a clear picture of how much SDR / AE time AI research could reclaim and how to deploy it in your stack.

Book a Scoping Call (03) 9003 0111

All discussions held in confidence. Australian-based consultants.