# Orange Slice

> Orange Slice (orangeslice.ai, YC-backed) is an AI-powered B2B prospecting tool: a chat-first smart spreadsheet that finds, qualifies, and enriches leads. You describe an ICP in plain English and columns auto-populate from LinkedIn intelligence, verified emails and phones, firmographics, funding, tech stack and hiring signals, a natural-language browser agent for scraping any site, AI web research, and Google Maps data. Credits are charged only when data is found. It exports to HubSpot, Salesforce, Instantly and CSV, and supports TypeScript columns for custom logic. Users are SDRs, founders doing their own outbound, and RevOps teams.

## Key pages

- [Product overview](https://orangeslice.ai/): What Orange Slice does and who it is for.
- [Pricing](https://orangeslice.ai/pricing): Plans and credit-based pricing.
- [Agents](https://orangeslice.ai/agents): The GTM agents available in the product.
- [Use cases](https://orangeslice.ai/use-cases): Concrete plays, grouped by category.
- [Solutions](https://orangeslice.ai/solutions): Outbound, inbound, PLG signups, account research, TAM, CRM enrichment and weekly signals.
- [Learn](https://orangeslice.ai/product/learn): Reads your website and drafts your ideal customer.
- [Find](https://orangeslice.ai/product/find): Builds targeted lead lists and qualifies them.
- [Enrich](https://orangeslice.ai/product/enrich): Fills every column with sourced data and keeps the CRM clean.
- [Reach](https://orangeslice.ai/product/reach): Pushes leads to your CRM and drafts outreach you approve.
- [Repeat](https://orangeslice.ai/product/repeat): Runs it on a schedule, in Slack, or from your own agent.
- [Docs](https://orangeslice.ai/docs): Every capability and provider operation, generated from the API itself.
- [Blog](https://orangeslice.ai/blog): Guides on lead generation, enrichment, outbound, and GTM automation.

## Capabilities for agents

Each capability is one outcome with one price, whichever providers it takes to
fulfil. The price below is what a dry run quotes and what the run is charged —
not a range, and not a per-provider tally. Where a capability is billed on a hit,
a miss costs nothing.

Every entry links to a self-contained skill file with its exact parameters,
output schema, curl example and failure codes. No key is needed to read them.

- [ai_extract](https://orangeslice.ai/capabilities/ai_extract/skill.md) — $0.002, charged per call. Extracts structured fields from text against a JSON Schema you supply. One credit per call. This is the one to use in a pipe — it returns an object the next command can read, where `ai text` returns prose it cannot.
- [ai_text](https://orangeslice.ai/capabilities/ai_text/skill.md) — $0.002, charged per call. Runs a prompt through a fast model and returns text. One credit per call, billed whether or not you like the answer — the model did the work either way. Use `ai text_deep` when the fast model is not good enough; it is the same call on a stronger model at ten credits.
- [ai_text_deep](https://orangeslice.ai/capabilities/ai_text_deep/skill.md) — $0.02, charged per call. The same call as `ai text` on a stronger model, at ten credits instead of one. Worth it when the fast model has already produced a wrong answer; not worth it as a default.
- [apify_run](https://orangeslice.ai/capabilities/apify_run/skill.md) — $0.01 per result, minimum $0.10, up to $10.00 per call. Runs an Apify actor and returns up to 1,000 dataset rows. Reserves five credits a row from the limit you ask for. For a pay-per-event actor read that as a floor rather than a quote — the real cost is not knowable until the actor has run — and note the hard cap of 20,000 credits, enforced on the run itself, so a runaway is stopped rather than billed.
- [browser_run](https://orangeslice.ai/capabilities/browser_run/skill.md) — $0.002, charged per call. Runs JavaScript in a hosted browser and returns whatever it returns. One credit per run. Reach for it when a page needs interaction that `scrape website` cannot do — a login, a click, an infinite scroll.
- [company_find_careers_page](https://orangeslice.ai/capabilities/company_find_careers_page/skill.md) — free. Resolves a company website to its careers page, preferring the underlying ATS board (Greenhouse, Lever, Ashby and friends) over a human-facing page. Free — it fetches pages directly. Pipe it into `search company_scrape_careers_page` to get the jobs themselves.
- [company_linkedin](https://orangeslice.ai/capabilities/company_linkedin/skill.md) — $0.004, charged per hit. Finds a company's LinkedIn page from its name or website, and returns the slug that `search employees` takes. Two credits, billed only when a page is found.
- [company_linkedin_enrich](https://orangeslice.ai/capabilities/company_linkedin_enrich/skill.md) — $0.002, charged per hit. Reads a company's record from the B2B database — size, industry, description, location — in one indexed lookup. One credit, billed only when the company is found.
- [company_scrape_careers_page](https://orangeslice.ai/capabilities/company_scrape_careers_page/skill.md) — free. Reads the open roles off an ATS board (Greenhouse, Lever, Ashby, Workday and eight more) and emits one job per line. Free, and no browser — it uses each provider's own API where there is one. A board outside the supported set returns no jobs with a `status` explaining why.
- [company_search](https://orangeslice.ai/capabilities/company_search/skill.md) — $0.002 per result, minimum $0.002, up to $4.00 per call. Finds companies by firmographics — industry, country, region, city, headcount, size band, founding year, ticker, or domain. Billed one credit per row returned, so `--limit` is also your budget. Emits `companySlug`, which `search employees` reads directly.
- [crunchbase_search](https://orangeslice.ai/capabilities/crunchbase_search/skill.md) — $0.002 per result, minimum $0.002, up to $0.20 per call. Find companies on Crunchbase by funding stage, amount, recency, category and location.
- [employees](https://orangeslice.ai/capabilities/employees/skill.md) — $0.002 per result, minimum $0.002, up to $0.20 per call. Finds people at a company by job title. Billed one credit per row returned, so `--limit` is also your budget. Output field names match what `enrich` reads, so the two pipe together directly.
- [ocean_companies](https://orangeslice.ai/capabilities/ocean_companies/skill.md) — $0.03 per result, up to $3.00 per call. Find companies resembling domains you already win, or filter by country, industry, headcount and ecommerce. Billed 15 credits per company returned.
- [ocean_people](https://orangeslice.ai/capabilities/ocean_people/skill.md) — $0.03 per result, up to $3.00 per call. Find people by seniority, department and job title at companies matched by lookalike domains or firmographics. Billed 15 credits per person returned.
- [parsed_address](https://orangeslice.ai/capabilities/parsed_address/skill.md) — $0.002, charged per hit. Splits a free-text address into street, city, state, postal code and country, plus latitude and longitude. Costs 1 credit per address. An address the geocoder cannot match is returned as an error rather than an empty row, and is not billed.
- [person_linkedin](https://orangeslice.ai/capabilities/person_linkedin/skill.md) — $0.004, charged per hit. Finds a person's LinkedIn profile URL from their name plus a company or title. Searches, then has a model check the result against what you supplied, so a returned URL has been sanity-checked. Two credits, billed only when a profile is found.
- [person_linkedin_enrich](https://orangeslice.ai/capabilities/person_linkedin_enrich/skill.md) — $0.002, charged per hit. Reads a person's LinkedIn profile from the B2B database — title, company, location, skills — in one indexed lookup rather than a scrape. One credit, billed only when the profile is found.
- [person_linkedin_from_email](https://orangeslice.ai/capabilities/person_linkedin_from_email/skill.md) — $0.10, charged per hit. Finds a person's LinkedIn profile URL from an email address, via FullEnrich's reverse lookup. Fifty credits, billed only when a profile is found — twenty-five times the price of the name-based `person_linkedin`, because it is a different and much more expensive lookup. Reach for it when a name search has already failed.
- [phone_number](https://orangeslice.ai/capabilities/phone_number/skill.md) — $0.50, charged per hit. Finds a phone number for a person. Costs ten times a work email, so reach for it on high-value prospects rather than a whole list. Billed only when a number is found.
- [places](https://orangeslice.ai/capabilities/places/skill.md) — $0.01 per result, up to $1.00 per call. Finds local businesses on Google Maps and returns one row per place, with address, phone, website and rating. Costs 5 credits per place returned — a search that returns 12 places costs 60. Up to 500 credits are held while it runs (100 places, the pinned maximum) and the unused remainder is released. A search that matches nothing is free.
- [scrape_website](https://orangeslice.ai/capabilities/scrape_website/skill.md) — $0.002, charged per hit. Fetches a page and returns it as markdown, with its links and metadata. One credit, billed only when content actually comes back — an empty scrape is free. Single page: this does not crawl.
- [web_batch_search](https://orangeslice.ai/capabilities/web_batch_search/skill.md) — $0.002 per result, up to $0.50 per call. Run up to 250 web searches in one throttled call. Billed one credit per search that returns results, so empty searches are free.
- [web_search](https://orangeslice.ai/capabilities/web_search/skill.md) — $0.002, charged per hit. Searches the web and emits one result per line. One credit, billed only when the search returns something. This is the discovery primitive — reach for it when you have no company or identifier to start from.
- [work_email](https://orangeslice.ai/capabilities/work_email/skill.md) — $0.05, charged per hit. Finds a work email for a person. Runs a provider waterfall and validates the result, so a returned address has already passed verification. Billed only when an email is found.

## Providers for agents

The capabilities above hide which vendor served them. These are the vendors'
own endpoints, exposed directly, for a caller who knows it wants a specific one.
Same key, same credits, same exit codes.

### BuiltWith

Technology detection — what a website is built with, and which companies use a given technology. This runs on Orange Slice's contract, priced in dollars, no signup with the vendor.

- [builtwith.lookupDomain](https://orangeslice.ai/capabilities/builtwith.lookupDomain/skill.md) — $0.04 per call. List the technologies detected on a domain.
- [builtwith.relationships](https://orangeslice.ai/capabilities/builtwith.relationships/skill.md) — $0.02 per call. Find domains related to a domain (shared analytics, ad, or hosting identifiers).
- [builtwith.searchByTech](https://orangeslice.ai/capabilities/builtwith.searchByTech/skill.md) — $0.20 per call. Find companies using a given technology.

### Instantly

Cold email sending from warmed domains we buy and manage for you — no Instantly account to sign up for. This runs on our vendor account, but needs you to connect your sending domains once at https://www.orangeslice.ai/dashboard/upgrade — there is nothing to buy.

- [instantly.accounts](https://orangeslice.ai/capabilities/instantly.accounts/skill.md) — free. List the sending accounts in your connected Instantly workspace, with warmup status.
- [instantly.addLead](https://orangeslice.ai/capabilities/instantly.addLead/skill.md) — $0.002 per call. Add a prospect to an Instantly campaign.
- [instantly.campaigns](https://orangeslice.ai/capabilities/instantly.campaigns/skill.md) — free. List the campaigns in your connected Instantly workspace.

### People Data Labs

Person enrichment from a 1.5B-profile index: work email, personal emails, role and company. This runs on Orange Slice's contract, priced in dollars, no signup with the vendor.

- [peopledatalabs.personEnrich](https://orangeslice.ai/capabilities/peopledatalabs.personEnrich/skill.md) — $0.05 per hit. Find a person's work email and personal emails from their name and company, or their LinkedIn URL.

### PredictLeads

Company intelligence: job openings, funding events, technology detections, news, and products. This runs on Orange Slice's contract, priced in dollars, no signup with the vendor.

- [predictleads.apiSubscription](https://orangeslice.ai/capabilities/predictleads.apiSubscription/skill.md) — $0.01 per hit. Retrieve API subscription information
- [predictleads.companies](https://orangeslice.ai/capabilities/predictleads.companies/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve Companies
- [predictleads.company](https://orangeslice.ai/capabilities/predictleads.company/skill.md) — $0.01 per hit. Retrieve Company
- [predictleads.companyConnections](https://orangeslice.ai/capabilities/predictleads.companyConnections/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Connections
- [predictleads.companyFinancingEvents](https://orangeslice.ai/capabilities/predictleads.companyFinancingEvents/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Financing Events
- [predictleads.companyGithubRepositories](https://orangeslice.ai/capabilities/predictleads.companyGithubRepositories/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Github Repositories
- [predictleads.companyJobOpenings](https://orangeslice.ai/capabilities/predictleads.companyJobOpenings/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Job Openings
- [predictleads.companyNewsEvents](https://orangeslice.ai/capabilities/predictleads.companyNewsEvents/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's News Events
- [predictleads.companyProducts](https://orangeslice.ai/capabilities/predictleads.companyProducts/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Products
- [predictleads.companySimilarCompanies](https://orangeslice.ai/capabilities/predictleads.companySimilarCompanies/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Similar Companies
- [predictleads.companyTechnologyDetections](https://orangeslice.ai/capabilities/predictleads.companyTechnologyDetections/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve Technologies used by specific Company
- [predictleads.companyWebsiteEvolution](https://orangeslice.ai/capabilities/predictleads.companyWebsiteEvolution/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve company's Website Evolution
- [predictleads.discoverConnectionInvestors](https://orangeslice.ai/capabilities/predictleads.discoverConnectionInvestors/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve Portfolio Companies
- [predictleads.discoverJobOpenings](https://orangeslice.ai/capabilities/predictleads.discoverJobOpenings/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve a list of Job Openings
- [predictleads.discoverProducts](https://orangeslice.ai/capabilities/predictleads.discoverProducts/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve a list of Products
- [predictleads.discoverTechnologyTechnologyDetections](https://orangeslice.ai/capabilities/predictleads.discoverTechnologyTechnologyDetections/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve Companies using specific Technology ID or fuzzy name
- [predictleads.financingEvents](https://orangeslice.ai/capabilities/predictleads.financingEvents/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve Financing Events
- [predictleads.followCompany](https://orangeslice.ai/capabilities/predictleads.followCompany/skill.md) — $0.01 per hit. Follow the company
- [predictleads.followedCompanies](https://orangeslice.ai/capabilities/predictleads.followedCompanies/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve followed companies
- [predictleads.jobOpening](https://orangeslice.ai/capabilities/predictleads.jobOpening/skill.md) — $0.01 per hit. Retrieve a single Job Opening by ID
- [predictleads.newsEvent](https://orangeslice.ai/capabilities/predictleads.newsEvent/skill.md) — $0.01 per hit. Retrieve a single News Event by ID
- [predictleads.newsEvents](https://orangeslice.ai/capabilities/predictleads.newsEvents/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve News Events
- [predictleads.product](https://orangeslice.ai/capabilities/predictleads.product/skill.md) — $0.01 per hit. Retrieve a single Product by ID
- [predictleads.startupPlatformPosts](https://orangeslice.ai/capabilities/predictleads.startupPlatformPosts/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve latest posts
- [predictleads.technologies](https://orangeslice.ai/capabilities/predictleads.technologies/skill.md) — $0.002 per result, minimum $0.01, up to $2.00 per call. Retrieve all tracked Technologies
- [predictleads.technology](https://orangeslice.ai/capabilities/predictleads.technology/skill.md) — $0.01 per hit. Retrieve a single Technology by ID or fuzzy name
- [predictleads.unfollowCompany](https://orangeslice.ai/capabilities/predictleads.unfollowCompany/skill.md) — $0.01 per hit. Unfollow the company

### LinkedIn

Send LinkedIn messages and connection requests from your own profile, with no second account to buy. This runs on our vendor account, but needs you to connect your LinkedIn account once at https://www.orangeslice.ai/dashboard/outreach — there is nothing to buy.

- [unipile.invite](https://orangeslice.ai/capabilities/unipile.invite/skill.md) — $0.002 per call. Send a LinkedIn connection request from your connected profile.
- [unipile.message](https://orangeslice.ai/capabilities/unipile.message/skill.md) — $0.002 per call. Send a LinkedIn direct message from your connected profile.
- [unipile.resolveProfile](https://orangeslice.ai/capabilities/unipile.resolveProfile/skill.md) — free. Resolve a LinkedIn profile URL or handle to the provider id that messages and invites take.
- [unipile.sentInvitations](https://orangeslice.ai/capabilities/unipile.sentInvitations/skill.md) — free. List the LinkedIn connection requests your profile has sent that are still pending.
- [unipile.withdrawInvite](https://orangeslice.ai/capabilities/unipile.withdrawInvite/skill.md) — free. Withdraw a pending LinkedIn connection request your profile sent.

Conventions shared by all of them:

- `--dry-run` prices any run exactly, and spends nothing.
- A run above the spend-gate threshold exits `7` until a plan token approves it,
  and only a dry run mints one. An agent cannot skip the estimate.
- Exit codes: 0 ok, 2 bad input, 3 auth, 4 not found, 5 provider, 6 rate limited,
  7 spend gate (nothing billed), 8 timeout, 9 a third-party account needs connecting.
- Every run reports what it cost, without being asked. In the default NDJSON
  mode that is a summary line on stderr. Under `--json` stdout is one object —
  `{success, capability, tier, credits, chargedOn, rows, found, data}`, plus
  `errors` when rows failed — and stderr stays empty, so capturing stdout
  captures the whole run.
- `credits` is the settled cost, not the reservation: it is computed from what
  came back, so a miss on a charge-on-hit capability settles at zero.

## Articles

- [How to Automatically Enrich and Score Leads When They Fill Out a Form](https://orangeslice.ai/blog/enrich-score-leads-automatically-form-submission): The moment a lead submits a form, a webhook fires to an enrichment tool that appends firmographic, technographic, and contact data to the raw submission. A scoring function then evaluates that enriched record against your ICP criteria and writes a numeric score back to your CRM before any human touches the lead. The whole sequence runs in under 60 seconds and requires no manual research.
- [How to Enrich Leads with Technographic Data Without ZoomInfo](https://orangeslice.ai/blog/enrich-leads-technographic-data-without-zoominfo): You can enrich leads with technographic data without ZoomInfo by combining purpose-built tools like BuiltWith, Wappalyzer, and HG Insights with an enrichment workflow that layers signals from browser-based scrapers, job postings, and AI research agents. Several of these options cost a fraction of a ZoomInfo contract — and some surface the same depth of tech stack data for specific use cases.
- [How to Export Enriched Leads to HubSpot Without Duplicates](https://orangeslice.ai/blog/export-enriched-leads-hubspot-without-duplicates): To export enriched leads into HubSpot without duplicates, match on a stable unique identifier — email for contacts, domain for companies — before every import. Map your enrichment fields to existing HubSpot properties, use HubSpot's native "update existing" import option, and run a deduplication pass on your spreadsheet before you push. This prevents both net-new duplicates and overwriting good data with stale enriched values.
- [How to Use LinkedIn Job Change Alerts for Outbound Prospecting](https://orangeslice.ai/blog/linkedin-job-change-alerts-outbound-prospecting): Set up LinkedIn job change alerts for your target contacts and accounts, then treat each alert as a timed outbound trigger. Reach out within the first 90 days of a new role — before the person has committed budgets or vendors — with a message tied specifically to their new responsibilities. This converts a passive data signal into a repeatable, high-relevance prospecting motion.
- [How to Prioritize Outbound Prospects When You Have Limited Credits or Budget](https://orangeslice.ai/blog/how-prioritize-outbound-prospects-limited-credits-budget): Prioritize prospects by ICP fit first, then layer in buying signals — job postings, recent funding, tech stack match, and hiring patterns. Enrich only the records that clear both filters. This keeps enrichment spend on prospects most likely to convert and avoids wasting credits on accounts that would have been disqualified anyway after the fact.
- [How to Enrich a CSV Lead List with Email and Firmographic Data](https://orangeslice.ai/blog/enrich-csv-lead-list-email-firmographic-data): Upload your CSV to an enrichment tool, map the company name and domain columns, then run enrichment passes for contact emails, phone numbers, employee count, industry, revenue range, and tech stack. Clean the output by removing rows with missing required fields, verify emails before sending (a bounce rate above 3% damages domain reputation), and export to your CRM or sequencer. The whole process takes under an hour for lists under a few thousand rows.
- [Best Clay Alternatives for Lead Enrichment and Prospecting in 2025](https://orangeslice.ai/blog/clay-alternative-lead-enrichment-prospecting): The best Clay alternatives for lead enrichment and prospecting include Orange Slice, Apollo.io, Clearbit (now part of HubSpot), Lusha, and Phantombuster. The right choice depends on your team size, whether you need waterfall enrichment, how technical your ops team is, and what your budget looks like per credit or per seat.
- [How to Score Leads Based on Tech Stack Fit](https://orangeslice.ai/blog/how-score-leads-based-tech-stack-fit): To score leads based on tech stack fit, assign positive points for technologies that signal a good ICP match (integrations you support, platforms your buyers run on) and negative points for tools that indicate a bad fit or a locked-in competitor. Combine tech signals with firmographic and behavioral data, set a threshold score for each sales tier, and route accordingly. Enrich every lead with technographic data before scoring, not after.
- [How to Disqualify Bad Fit Leads Before Outreach](https://orangeslice.ai/blog/how-disqualify-bad-fit-leads-before-outreach): To disqualify bad fit leads before outreach, define explicit negative ICP criteria — wrong company size, industry, tech stack, geography, or business model — then enrich every lead against those criteria automatically before any rep touches them. Leads that match one or more hard disqualifiers get filtered out or marked DQ in your CRM. This keeps your team's time on the accounts that can actually buy.
- [Best LinkedIn Prospecting Tools Without Sales Navigator](https://orangeslice.ai/blog/best-linkedin-prospecting-tools-without-sales-navigator): The best LinkedIn prospecting tools without Sales Navigator include Apollo.io, Hunter.io, PhantomBuster, Clay, and Orange Slice. Each pulls LinkedIn intelligence—job titles, company data, contact info—without requiring a Sales Navigator subscription. The right choice depends on whether you need bulk list building, single-contact lookups, enrichment, or a full workflow that finds, qualifies, and exports leads automatically.
- [How to Use Job Posting Data to Time B2B Outreach](https://orangeslice.ai/blog/job-posting-data-time-b2b-outreach): A job posting tells you a company has budget allocated, a pain it needs to solve, and a decision-maker actively thinking about that problem right now. To time outreach, monitor for role-specific triggers — a VP of Sales hire signals CRM investment, a DevOps posting signals infrastructure spend — then reach out within days of the posting going live, before the role is filled and the budget is committed elsewhere.
- [How to Re-Engage Stale CRM Deals (and Which Ones Are Worth It)](https://orangeslice.ai/blog/how-re-engage-stale-crm-deals): Re-engage a stale CRM deal when the contact's situation has materially changed — new job title, new funding round, new fiscal year, or a competitor they chose has visibly failed them. Timing beats volume: a single well-researched outreach sent at the right trigger converts far better than a bulk "just checking in" blast to every dead deal in your CRM.
- [How to Use Hiring Signals for B2B Prospecting](https://orangeslice.ai/blog/how-use-hiring-signals-b2b-prospecting): A company's hiring activity reveals budget, priorities, and pain points before any analyst report does. To use it for B2B prospecting, monitor job postings for roles that signal your buyer is growing, a new initiative is funded, or a problem you solve just became urgent. Filter by role type, seniority, and volume, then reach out with a message tied specifically to what that hiring pattern tells you about their situation.
- [How to Sync Enriched Leads from a Spreadsheet to Salesforce](https://orangeslice.ai/blog/sync-enriched-leads-spreadsheet-salesforce): To sync enriched lead data from a spreadsheet into Salesforce, clean and deduplicate the sheet first, map every column to its exact Salesforce API field name, then push records using a native export (if your enrichment tool supports it), a middleware like Zapier or Make, or a direct CSV import via Salesforce's Data Import Wizard. Automate the sync so enriched fields overwrite stale CRM data on a schedule.
- [How to Connect Lead Enrichment Tools to Instantly for Cold Email](https://orangeslice.ai/blog/connect-lead-enrichment-tools-instantly-cold-email): To connect lead enrichment tools to Instantly, build your lead list and enrich each contact with verified email, job title, firmographics, and any personalization fields, then export that data as a CSV or push it directly via a native integration. In Instantly, import the CSV into a campaign or use the API to trigger sequence enrollment automatically. The key is enriching before export — Instantly sends what you give it; garbage in, garbage out.
- [How to Verify B2B Email Addresses Before You Send](https://orangeslice.ai/blog/how-verify-b2b-email-addresses): To verify a B2B email address before sending, run it through four checks in sequence: syntax validation, MX record lookup, SMTP handshake ping, and catch-all domain detection. Any address that fails syntax or MX is a hard bounce waiting to happen. Addresses on catch-all domains need a secondary confidence signal before you include them in a cold sequence.
- [Cold Email Deliverability Best Practices That Keep You Out of Spam](https://orangeslice.ai/blog/cold-email-deliverability-best-practices): Keep cold email out of spam by authenticating your sending domain with SPF, DKIM, and DMARC; warming the inbox before scaling volume; verifying every address before import; keeping bounce rate below 3%; and writing plain-text-style messages without heavy HTML, tracked images, or spam-trigger phrases. Each of these controls a different layer of how mail servers and spam filters evaluate your messages.
- [Buying Signals for B2B Sales: Which Ones Actually Predict a Deal](https://orangeslice.ai/blog/buying-signals-b2b-sales): Buying signals in B2B sales are observable behaviors or company events that indicate a prospect is actively considering a purchase. The ones that actually predict a deal are high-intent signals tied to real business pressure: hiring for a role your product replaces, raising a funding round, visiting your pricing page multiple times, or researching competitors. Passive signals like a single website visit rarely move the needle on their own.
- [How to Automate GTM Workflows End to End](https://orangeslice.ai/blog/how-automate-gtm-workflows): To automate GTM workflows end to end, break the revenue process into discrete stages — prospecting, enrichment, qualification, outreach, and CRM sync — then assign a tool or agent to each stage and connect them with defined handoff conditions. The goal is a pipeline that moves a lead from signal to sequence to closed-won with minimal human intervention at the repetitive steps.
- [How to Define Your Ideal Customer Profile for B2B Sales](https://orangeslice.ai/blog/how-define-ideal-customer-profile-b2b): An ideal customer profile (ICP) for B2B sales is a precise description of the company type most likely to buy, stay, and expand. You define it by combining firmographic fit (industry, size, geography), technographic fit (stack they already use), and behavioral signals (hiring patterns, funding, recent activity). The result is a set of specific, testable criteria your team uses to qualify every inbound lead and prioritize every outbound target.
- [AI SDR Agents Explained: What They Are and What They Can Actually Do Today](https://orangeslice.ai/blog/ai-sdr-agents-explained): An AI SDR agent is software that automates one or more sales development tasks — finding prospects, enriching contact data, qualifying leads, or sending outbound sequences — without a human completing each step manually. Today's agents handle prospecting, data enrichment, lead scoring, and CRM updates reliably. Fully autonomous cold outreach that books meetings at human SDR quality is still inconsistent in practice.
- [Best B2B Data Enrichment Tools in 2026: Ranked by Use Case](https://orangeslice.ai/blog/best-b2b-data-enrichment-tools): The best B2B data enrichment tools in 2026 are ZoomInfo (enterprise, North America), Cognism (EU/UK compliance), Apollo.io (best value at $49/mo), Clay (custom waterfall pipelines), and HubSpot Enrichment (inbound HubSpot teams). The right pick depends on your geography, budget, and whether you need a single database or a multi-source waterfall. No single tool leads across all dimensions simultaneously.
- [How to Find B2B Leads with AI: A Practical Step-by-Step Guide](https://orangeslice.ai/blog/how-find-b2b-leads-with-ai): To find B2B leads with AI, define a precise ICP, then use an AI prospecting tool to build a filtered list from company databases, LinkedIn, and intent signals. Enrich each contact with verified emails and firmographics, score leads by behavioral signals and ICP fit, and automate personalized outreach. The process replaces hours of manual research and surfaces accounts that are actively buying, not just demographically similar.

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