From Invisible to AI-Visible
How a coordinated content and optimization strategy drove a triple-digit increase in AI visibility in four months
Our client is a commercial real estate company with properties spanning major markets across the United States.
Like most commercial real estate transactions, leasing typically happens through brokers. But the research phase has changed: today’s prospective lessees — and the brokers who represent them — are self-serving their research long before they reach out for assistance. Studies consistently show that B2B buyers complete two-thirds of the buying journey before engaging a vendor or broker directly. For a commercial property owner, this creates a fundamental challenge: how do you educate, influence, and begin building preference with prospects you’re not yet talking to?
The competitive landscape is complex. Third-party listing platforms, real estate brokerages, and direct competitors all offer their own real estate search capabilities. Potential lessees have many websites where they can do their initial research.
Into this environment came a new channel: AI-powered search tools. When a prospect types “where can I find the right commercial space in the Dallas market” into an AI tool or search, the response is shaped by what’s findable, citable, and clearly structured online. Our client had limited presence—yet.
The Challenge
There was a disconnect between the client’s market strength and how AI systems understood them, one that a traditional web presence and PR couldn’t be expected to close. At the start of measurement, the client had a very limited footprint in LLM-based AI responses. In other words, people chatting with AI tools to investigate commercial real estate options that fit their needs weren’t seeing our client’s offerings.
The question wasn’t whether to act. It was how fast they could close the gap before competitors strengthened their own positions. In AI-powered search, having a strong brand isn’t enough to get mentioned. And without those mentions, prospects turning to AI for answers will have a hard time finding our client
The Solution
A geographic strategy first
Commercial real estate is inherently local. A prospect searching for space is looking for specific markets, specific infrastructure, specific proximity. Competitive entrants were already meeting that demand with location-specific content, and closing the gap required matching them with precision: optimizing location pages with buyer-relevant terminology, adding location-focused articles that demonstrated genuine market expertise, and ensuring language across the site reflected how buyers actually search.
The single largest opportunity for new-customer visibility was in location-centric positioning and language. Getting this right wasn’t just a content exercise. It required understanding how search and AI tools interpret geographic specificity as a signal of relevance and authority, and how creating local relevance unlocks visibility for higher-volume, more competitive keywords and prompts.
Content built for two audiences: search engines and AI tools
The writing approach shifted in a specific direction: away from dense, paragraph-heavy content and toward browseable, chunkable formats that AI tools can confidently extract from and cite. FAQs and Q&A-format articles were central to this. So was plain-language precision: using the terminology buyers use, in the formats AI tools prefer, without sacrificing the on-brand tone the client’s communications team stipulated.
Equally important was building a strong semantic framework around priority topics: comprehensive coverage across each subject area, interlinked to signal depth of expertise, with consistent terminology throughout. When AI tools see the same entities and terms used accurately and repeatedly across the site, they learn to associate that brand with authority in the space.
The strategy wasn’t to optimize for AI at the expense of traditional search. It was to write content strong enough to serve both. And the results showed that was achievable.
Two Octobers’ Role and the Integrated Team
The work was very much a coordinated effort. Two Octobers developed a strategic AI optimization roadmap. The client’s in-house digital content team translated that into an impactful content plan. A PR agency built third-party authority through earned media and visibility on platforms like Wikipedia and YouTube. A multi-disciplinary team launched a fully updated website. Local marketing teams drove demand in key geographic markets.
This kind of multi-team coordination is something Two Octobers is built for. Each team contributed their strengths and amplified each other. Two Octobers’ specific scope included:
- Guided the enhancement of geographic market pages with AI-optimized content and precise, buyer-relevant language
- Added FAQs aligned to how AI tools surface answers to real buyer queries
- Expanded the existing content publishing program toward authority-building content
- Recommended concrete copy enhancements throughout the site so AI crawlers could more accurately understand and categorize the business’s offerings
- Implemented technical improvements to support AI crawler accessibility and content clarity
Results
AI and traditional search gains moved together confirmation that content quality, not platform-specific tricks, was driving both.
What Made It Work
The results came from a collaborative model where every team understood its role clearly enough to extend the work, not just execute tasks. Two Octobers’ team worked closely with the client’s in-house content team, providing AIO & SEO expertise and data-driven reasoning behind each content direction. The content team brought that direction to life by securing leadership buy-in to shift strategy, developing an on-brand approach to showcasing geographic expertise, and building a content methodology that scaled output without sacrificing quality or the actual value of the content to prospects. The PR vendor continued to build authority in external channels. Local marketing teams drove demand that the new content was designed to capture.
Building shared context across the client’s marketing, communications, and tech organization was a meaningful part of this success. That meant aligning on the opportunity, developing a shared picture of what high-quality, AI- and search-optimized content looks like in practice, and ensuring internal teams had the reasoning behind each direction. When teams can extend that reasoning independently, impact multiplies across a large organization.
What This Means for B2B Marketers
For B2B companies with complex buying journeys, the opportunity is acute. Prospects are already using AI tools to shortlist vendors, answer questions, and form preferences, often before they ever speak to a salesperson or broker. Building that presence requires a clear strategy, content that serves both traditional and AI-powered search, and a partner who knows how to work alongside your existing team.
That’s the work we do.