GTM AI: How Konsyg Uses AI to Accelerate Go-To-Market

AI. Hype or helper?

We promise no robot takeover here. AI might feel futuristic, but for sales teams, it is proving to be a practical ally:

  1. Fewer mistakes in data and targeting
  2. Always-on availability for insights
  3. Faster, more efficient workflows

And plenty more

When used alongside human expertise, AI does not replace the fundamentals of selling; it sharpens them. That means more time for SDRs and sales leaders to focus on what only people can do: building relationships and closing deals.

At Konsyg, we are already embedding AI into our outbound sales and go-to-market operations. This article shares how we are adopting AI across our teams, the tools we are using, and the impact they are making so you can explore what might work for your own sales strategy.

Use the menu to jump straight to the use cases that interest you most.

Setting AI OKRs and Incentives

At Konsyg, we are committed to making AI a core part of how we run outbound sales and GTM operations. That commitment is reflected in one of our company’s OKRs:

“Operationalise AI across sales execution in repeatable, scalable workflows.”

William Gilchrist, Founder and CEO of Konsyg, explained:

“AI is not a gimmick; it is part of the future of B2B sales. I want Konsyg to be in the first wave of sales organisations using AI to drive efficiency in prospecting, lead generation, and appointment setting.”

“That is why I tied our AI adoption directly to our goals. If part of my role as a founder is to ensure our teams are constantly improving how they execute, then embracing AI has to be a priority.”

“It is not about shortcuts. It is about finding ways to accelerate workflows, empower SDRs, and experiment with smarter approaches to outbound.”

To reinforce this, Konsyg launched an internal incentive program encouraging the team to explore AI tools. Each SDR and sales manager receives a small monthly budget for three months to test an AI tool of their choice. After the trial, they share a productivity report on how the tool saved time or improved workflows.

When a tool proves valuable, we move to team-wide adoption and standardise it into outbound processes.

This bottom-up approach fuels innovation, sparks experimentation, and keeps Konsyg ahead of sales trends. In outbound sales, where speed and precision matter, staying ahead is everything.

So, how are we actually using AI in our GTM operations so far? Keep reading to find out.

AI Adoption in Konsyg’s Marketing Team

AI has countless applications in sales and marketing, and new ones are emerging daily as tools evolve. At Konsyg, we have been testing how AI can enhance the way we execute campaigns and build content strategies that fuel outbound sales.

SEO Keyword Identification

Content remains one of the most obvious areas where AI delivers value, and many of the earliest tools were built to support keyword research and content ideation.

Our marketing team has been trialling a range of AI tools to uncover fresh keyword opportunities tied to B2B sales outsourcing, outbound sales, and lead generation. The goal is to spot gaps in search demand that can directly translate into more qualified leads.

We ran a comparison across several tools, feeding in sales transcripts and objection-based notes from our GTM calls. The results varied:

ChatGPT: Useful for broad keyword ideas but too generic for high-intent, outbound-focused terms.

Google Gemini: Struggled to interpret the task in its current version.

Perplexity: Generated long-tail, content-focused suggestions that are valuable for niche projects but less aligned with core money keywords.

Copy.ai: Recycled many of the keywords we already rank for.

Claude: Delivered the most actionable results, surfacing product-focused keywords and sharper outbound-related terms that fit our GTM strategy.

From this trial-and-error process, Claude stood out as the tool with the most practical potential for scaling our keyword discovery.

From this trial-and-error process, Claude emerged as the most practical tool for ongoing testing of outbound and lead generation keywords.

Mittra Munis, Marketing Director at Konsyg, explains:

B2B SEO & Lead Generation

SEO Content Drafting

Another AI tool that has become part of our workflow at Konsyg is Frase. After initial testing, we have now cemented it into our SEO content process.

Why? Because it makes optimising content for outbound sales and lead generation faster and more straightforward.

You input a target keyword either by drafting directly in the platform or uploading existing content, and the tool will:

  • Benchmark your content’s ranking against that of your competitors.
  • Recommend areas to improve during optimisation.

Suggest supporting keywords, subheading structure, and article length needed to compete.

While Frase does offer AI-generated content, we prefer to keep the writing with our in-house team. AI can speed things up, but when it comes to tone and quality, we rely on human writers who understand B2B sales language.

For us, quality is non-negotiable. What AI does is strip away the heavy manual research, so our content team can focus on producing authoritative articles that connect SEO to actual sales outcomes.

Speeding Up Demand Generation Content Creation

As noted earlier, AI offers far more than just SEO applications. At Konsyg, we have also been integrating AI into our demand generation content workflows to accelerate production and reduce friction.

Our team has been testing a variety of tools to support tasks such as:

  1. Building podcast outlines more quickly
  2. Transcribing podcasts and video sessions with accuracy
  3. Sourcing thought leadership content for outbound campaigns
  4. Generating short-form video snippets for social and sales enablement

Some of the tools we have experimented with include:

  1. APEX A.L.I.C.E.
  2. ChatGPT
  3. Deepseek
  4. Restream
  5. Opus

Each tool shines in different areas depending on the content goal and the type of input. For example, one may excel in transcription accuracy, while another is stronger in generating snackable video clips for LinkedIn campaigns.

Speeding Up Podcast Outline Creation

When it comes to content creation in fireside chat by Konsyg, the hardest part is often breaking through the blank page. AI helps us get past that hurdle.

Using chat tools like ChatGPT and DeepSeek, our team can quickly generate draft outlines for podcasts by feeding in the subject matter and key points we want to cover.

The questions AI produces are rarely the final version, but they give our demand generation managers a strong foundation to build on. Instead of starting from scratch, we can refine and personalise the outline much faster, cutting hours out of the prep process.

Transcribing Podcasts and Video Content

At Konsyg, we run a complete demand generation engine that covers:

  1. Live events
  2. Podcasts
  3. Social media campaigns
  4. YouTube content
  5. Blog articles
  6. Newsletters

Repurposing long-form material into short-form, high-impact content ensures we can distribute insights efficiently across multiple channels and support outbound campaigns at scale.

For example, when we feature a subject matter expert on a podcast, we use Google Gemini to transcribe the conversation. From that transcript, we can quickly pull out quotes for LinkedIn, highlights for newsletters, or insights to fuel SDR outreach.

Manual transcription would take hours, but AI does it in minutes. The text is not always perfect, but a quick proofread is all it takes to make it ready for distribution. This efficiency keeps Konsyg’s media pipeline moving without slowing down our GTM execution.

Custom GPTs for Thought Leadership

The ability to transcribe content has opened new doors for us at Konsyg, one of them being the creation of custom GPTs.

By feeding in our own data, such as podcast transcripts, we can train GPT models to pull directly from sales, marketing, and RevOps insights.

We now run persona-based GPTs, one each for sales, marketing, and RevOps, built on thought leadership content from our subject matter experts. This gives us a way to extract authoritative insights without replaying hours of recordings or scheduling additional SME interviews. It allows us to maximise the value of every piece of content we create.

For example, we used the sales custom GPT to refine a “cold-calling objection response guide” for our internal teams. We input common objections (“I’m busy,” “Not interested,” etc.), and the GPT produced responses aligned with how our experts would handle them.

Instead of taking hours to collect quotes, we had authoritative input in minutes, giving our outbound sales materials instant credibility and practical value.

AI-Generated Snippets

One of the more creative ways we have been using AI at Konsyg is with OpusClip, a video editing tool that transforms long-form recordings into short, engaging clips.

The AI analyses full-length content, identifies standout moments, and automatically produces concise videos ready for channels like LinkedIn, YouTube Shorts, and Instagram Reels.

What makes Opus particularly useful is the ability to customise clips with brand templates. Usually, this type of work would sit with our in-house video team, but Opus allows us to handle the first cut automatically, freeing the team to focus on higher-value production work. It keeps our demand generation engine running without bottlenecks.

Processing Product Marketing Research Data

If there is one part of product marketing that feels overwhelming, it is processing mountains of research data. Sorting through transcripts, reports, and competitor content can take hours before the real insights appear.

To solve this, our team has been testing APEX, a tool that simplifies searching and summarising large volumes of marketing data.

We feed APEX with documents, online reports, and even YouTube content, and then prompt it for takeaways. Instead of scrolling through endless pages, the AI surfaces the exact insights we need for messaging.

Unlike many other summarising tools, APEX can also scan images, which makes it far more versatile. For our marketing and outbound teams, that means less time parsing through research and more time acting on insights that directly support GTM execution.

AI Adoption in Konsyg’s Sales Team

When it comes to B2B sales, adopting AI requires balance. Outbound sales is a human-first discipline where relationship-building and emotional intelligence remain irreplaceable. Overuse of AI, like sending obviously AI-generated emails or running robotic cold calls, can damage credibility.

That is why at Konsyg we take a careful approach, testing AI in ways that support SDRs rather than replace them. Here are some of the methods we have introduced.

AI Chatbot for SDR Onboarding and Training

Our SDR onboarding has been transformed with the use of Hyperbound, an AI sales coach that simulates live cold calls. Instead of burning through real prospects, new SDRs can practise objection handling with an AI agent that plays the role of a decision-maker and provides feedback.

This was one of the most significant shifts in our 2024 training program, and the SDR classes using Hyperbound showed sharper cold calling confidence from day one.

More Efficient and Effective Selling

Konsyg’s SDRs operate in a data-rich environment, and AI plays a key role in sharpening their outreach. By combining AI-powered dashboards with high-quality prospect data, our teams can:

  • Identify decision-makers faster
  • Detect intent signals that show buying readiness
  • Personalise outreach with real-time company insights

This automation reduces time spent on manual research and allows SDRs to allocate more hours to meaningful conversations, increasing the odds of booked meetings and closed deals.

Improved Connect Rates

Access to phone-verified mobile numbers and AI-enriched data sets has boosted connect rates for our outbound campaigns. For example, AI-assisted call targeting has improved live connect percentages across our client programs, directly increasing the number of qualified meetings generated through cold calling.

Sales Enablement and Competitor Intelligence

Competitive knowledge is critical during outbound conversations. Prospects want to know how Konsyg’s clients stack up against alternatives in the market, including integrations, use cases, and pricing models.

To support this, we have rolled out Crayon AI within our Slack environment. Now, SDRs can ask competitive questions in real time and instantly access up-to-date intelligence.

This ensures that sales conversations are not only fast but also informed, helping SDRs establish credibility early in the buyer journey.

Bradford Gray, Global Client Relationship Director at Konsyg, explains:

B2B Clients Communication

Custom GPT for AE Workflow

At Konsyg, we have also been building custom GPTs to enhance how our Account Executives operate. The aim is to reduce manual tasks, improve personalisation, and accelerate deal cycles.

We designed a tailored sales enablement GPT that functions as a real-time assistant for AEs. It supports activities such as:

Account research and preparation

Discovery call note-taking

CRM updates and deal health tracking

Personalised follow-ups and outreach

Instead of spending hours collecting data or drafting emails, AEs can instantly pull relevant insights, generate personalised communications, and keep CRM records accurate with minimal effort.

The model is trained on Konsyg’s internal playbooks, competitive research, and best practices, ensuring every AE interaction is backed by reliable sales intelligence.

The results have been precise: faster pipeline progression, reduced response times, improved deal management, and stronger overall sales productivity. By automating the admin load, we give AEs more space to focus on strategic selling and relationship building, the areas where human value matters most.

Sales Call Enablement

We are also heavy Gong users, and its AI features have become essential for our sales workflow. Gong’s AI analyses our recorded cold calls and makes it easy to surface key information instantly.

For example, if a prospect’s budget was discussed in a call with a specific account, SDRs and AEs can simply query the AI to retrieve that context.

We also use Gong AI to:

  • Generate concise summaries of calls to share with prospects
  • Keep an internal log of deal progress
  • Shape follow-up emails around pain points identified in conversations

This allows Konsyg’s sales teams to engage with precision, reducing the risk of missed details and helping outreach stay highly relevant to each account.

FAQs

  1. How is Konsyg using AI in outbound sales?

Konsyg integrates AI into every stage of outbound sales, from SDR onboarding to account research and competitor intelligence. AI tools help with prospect targeting, call simulations, keyword discovery, and workflow automation, while SDRs and AEs focus on relationship building, appointment setting, and closing deals.

  1. Does AI replace SDRs and sales reps?

No. AI supports Konsyg’s sales teams by handling repetitive, manual tasks like transcription, research, and CRM updates. This gives SDRs more time to focus on high-value activities such as B2B cold calling, personalised outreach, and meaningful conversations with decision-makers.

  1. Which AI tools are Konsyg using for sales enablement?

Some of the AI tools we have adopted include Hyperbound for SDR cold call training, Restream for transcription, Claude and Frase for SEO keyword optimisation, Gong for call analysis, and custom GPTs trained on Konsyg’s internal playbooks for AEs.

  1. How does AI improve lead generation?

AI enhances B2B lead generation by streamlining data enrichment, surfacing intent signals, and personalising outreach based on verified insights. It allows Konsyg’s SDRs to prioritise the right prospects and reach them at the right time, which translates into higher connect rates and more qualified meetings.

  1. Can AI improve cold calling success rates?

Yes. By combining AI-verified contact data with insights from tools like Gong, Konsyg SDRs have seen higher connect rates and better call outcomes. AI also helps SDRs prepare objection-handling strategies in advance, making their cold calling efforts sharper and more effective.

  1. What’s next for AI at Konsyg?

We see AI as a long-term partner in our go-to-market strategy. The next phase involves expanding custom GPTs across departments, refining predictive insights for outbound campaigns, and scaling sales enablement tools globally to support our 16+ sales teams.

GTM AI: The Final Word

AI tools continue to evolve, and at Konsyg, we are constantly exploring new ways to embed them into our outbound sales and go-to-market workflows. This means our approach will never remain static; it will adapt as the technology does.

As we discover new tools that enhance SDR training, accelerate lead generation, or improve sales enablement, we will continue updating this list. Our goal is to keep Konsyg’s teams and our clients ahead of the curve in how AI supports scalable, efficient, and human-driven sales execution.

Book a call with Konsyg to scale your business with B2B Lead Generation today!

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