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Manual filtering with drop downs are too clunky to use in 2026. đ đźââď¸
Thatâs why Seamless has just launched Natural Language Search.
Similar to OpenAI, you can now just describe what youâre looking for, and results will populate in seconds.
Try it yourself today by commenting SEARCH.
#NaturalLanguageSearch#AIsearch#AIpowered#SeamlessAI#TechTrends2026
Outbound isnât deadâitâs evolving.
If your connect rates are stuck, your system might be holding you back.
Ready to break through? Join Seamless Koncert for a live fireside chat on unlocking better data, faster dials, and smarter AI strategies that drive real results.
Donât miss actionable insights from industry leaders!
Comment OUTBOUND below for your exclusive registration link.
#OutboundSales#SalesStrategies#LeadGeneration#B2BSales#SalesWebinar
To use it or not. That is the question.
Google Search says llms.txt isn't needed for AI features, while Lighthouse now checks the file for agentic browsing readiness in an experimental audit.
What gives?
searchenginejournal.com/goog⌠via @MattGSouthern, @sejournal
AI will not fix your GTM data problem. It will scale it.
Bad data AI = faster bad decisions:
Wrong personalization
Weak lead scoring
Messy forecasting
Outreach to stale contacts
Your CRM stores the data. Your AI interprets the data. Your data layer makes the data useful.
If your CRM could enrich itself in real time, what would you automate first? New inbound leads? Missing emails phone numbers? Account research? CRM data cleanup? Seamless API is open to all so teams can build faster, cleaner GTM workflows with real-time contact and company data
AI tools can write emails, summarize data.
But if they canât access accurate contact, company, CRM, and intent dataâŚ
Theyâre just guessing. The next phase of AI in sales wonât be better prompts.
Itâll be better access.
Thatâs the data layer Seamless is building.
The goal isnât to automate spam.
The goal is to automate the manual work that slows sellers down.
Less copy-paste.
Less tab switching.
Less guessing.
More context.
More relevance.
More selling.
Cold email isnât dead.
Bad targeting is.
Most outbound fails before the email is written:
Wrong account
Wrong buyer
Outdated data
No trigger
No clear pain
Generic message
Volume > relevance
Great copy canât save a bad list.
Fix targeting before rewriting the sequence.