Elite Agent

Elite Agent Launches ‘Ailsa’: The AI Journalist Transforming Sales Results Into Authority Assets

New tool addresses the industry's long-standing content resource gap while building the verified citations required for the next generation of search.

Elite Agent has announced the launch of Ailsa, a conversational AI journalist designed to solve a dual challenge for the real estate industry: the scarcity of time for content creation and the growing need for verified digital authority.

For many agents, the details of a difficult sale or a record-breaking campaign are often lost as focus shifts immediately to the next listing.

While agents frequently achieve significant results, the workflows for documenting and publishing these stories have historically been prohibitive.

“We see it across the industry,” said Mark Edwards, Publisher of Elite Agent.

“Good agents are delivering incredible results, but the resource cost to capture those stories – in terms of time and writing capability – has always been a barrier.”

Ailsa changes that dynamic by automating the interview and drafting process.

The tool interviews agents via a standard phone call, using conversational AI to ask follow-up questions, verify data, and gather context.

The resulting draft is then polished by Elite Agent’s human editorial team and published as a news story.

“We wanted to create a workflow where an agent can document their track record simply by having a conversation,” Mark said.

“Ailsa allows them to tell their story, and we handle the production.”

Early adopters validate the workflow

The system has been beta-tested by a cross-section of the industry, from newcomers to top agents, to ensure the output captures the nuance of a real estate transaction.

Carol Tuckett from Sherlock Homes Group, an agent with 18 months of experience, noted that the tool removed the friction of starting from a blank page.

“Finding time and content that will get people interested was difficult,” Carol said.

“Ailsa made it easy – I used it once and it produced a polished article straight away.”

Carol also highlighted the downstream benefits of publication.

“It boosted my online presence, and ChatGPT can now find the stories Ailsa created about my sales.”

Eriks Draiska, a sole trader at Plaza Real Estate in Adelaide with over 30 years of experience, pointed to the tool’s ability to handle complex narratives, such as deceased estates or downsizing.

“My first experience was with a recent sale in Glanville,” Eriks said.

“Ailsa turned a short phone call into a well-written story that captured the campaign, the result, and the vendor’s situation accurately.”

For Eriks, the value lies in efficiency. “I can provide the facts and the feeling of the sale, and Ailsa handles the heavy lifting. The outcome is a clean, accurate story I can use for marketing.”

The shift from content to citations

The launch of Ailsa coincides with a shift in how search engines and AI models rank professional authority.

As consumers increasingly use tools like ChatGPT and Perplexity to research agents, the need for third-party verification has grown.

“A reputation is now being filtered through AI before a client ever picks up the phone,” Mark said.

“By publishing these stories on a news platform, we are helping agents create citations – credible, third-party references that AI systems trust.”

Addressing the “Experience” gap

The technology has also been calibrated to align with Google’s E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) guidelines.

Samantha McLean, Managing Editor of Elite Agent, explains that while generic AI tools have access to data (Expertise), they lack the human element of Experience.

“AI has never felt the tension in an auction room or calmed a nervous vendor at 10 PM,” Samantha said.

“Because Ailsa interviews the agent directly, it captures those first-person details that prove the agent was there.”

Having an interview with Ailsa is like talking to a real journalist. This is because the technology underpinning Ailsa – ElevenLabs conversational agents platform – ‘she’ can handle complex conversations with accuracy and very low latency.

“Two years ago, we wouldn’t have dreamed of doing this,” Samantha said.

“The opportunity isn’t just using AI to speed up old tasks; it’s asking: what can we build now that we couldn’t build before?

“Ailsa is just one of the answers to that question.”

Best Practice: Getting the most from your Ailsa interview

To generate a story that builds authority, Samantha recommends treating the Ailsa interview as a case study rather than a standard “Just Sold” announcement.

  • Outline the challenge: Rather than saying a sale was easy, high-performing agents detail the obstacles – such as a difficult layout or a shifting market – to demonstrate problem-solving skills.
  • Detail the strategy: Explaining why a specific method (e.g., auction vs. private treaty) was chosen creates a digital link between the agent’s name and that specific skill set.
  • Humanise the transaction: Without sharing sensitive data, explaining the vendor’s motivation (e.g., downsizing or upsizing) adds the necessary context that differentiates a human agent from a transaction coordinator.

For more information about Ailsa – visit https://getailsa.com

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