From Invisible to AI-Visible
How a coordinated content and optimization strategy drove a 500%+ increase in AI visibility in four months
Our client is a warehouse operator 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 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 compounds the problem. Platforms like LoopNet have long offered robust property search tools, and competitors’ websites already showcase available inventory. Our client was slower to offer property listings on the website, a gap that limited both brand recognition and reasons for prospects to interact directly with the brand during the critical early-research phase.
Into this environment came a new channel: AI-powered search tools. When a prospect types “where can I find large industrial warehouse 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 almost none of that presence — yet.
The Challenge
Despite having a web presence in line with their enterprise scale, and even after the launch of property listings on their website, the client had nearly no footprint in LLM-based AI responses. At the start of measurement, their AI visibility score — which tracks how frequently their content surfaces in AI results across queries relevant to their business — stood at 4.3%.
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 were finding competitors — not our client.
The Solution
Two Octobers’ Role and the Integrated Team
What followed was a coordinated effort. Two Octobers led content direction and on-site optimization. The client’s in-house content team executed much of the writing under Two Octobers’ strategic guidance. A PR agency built third-party authority through earned media and visibility on platforms like Wikipedia and YouTube. Internal tech teams and an external website vendor supported the launch of a fully redesigned website in April 2026. Local marketing teams drove demand in key geographic markets.
This kind of multi-team coordination is something Two Octobers is built for. Each team stayed in its lane and amplified the others. Two Octobers’ specific scope included:
- Enhanced 40+ geographic market pages with AI-optimized content and precise, buyer-relevant language
- Added 40+ FAQs aligned to how AI tools surface answers to real buyer queries
- Expanded and redirected the existing content publishing program toward authority-building content, reaching 15–25 articles per month in total
- 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
The Approach
A geographic strategy first
Commercial real estate is inherently local. A prospect searching for warehouse 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 major-market 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.
Results
Q3 2025 – Q1 2026: Building the foundation
AI and traditional search gains moved together confirmation that content quality, not platform-specific tricks, was driving both.
Q2 2026: New website, accelerated results
When the redesigned website launched in April 2026, the collective team’s work accelerated. Built on the foundation Two Octobers had helped establish, the new site produced:
- 94% additional increase in warehouse keyword visibility
- 14% additional increase in AI visibility
- 40% increase in organic traffic
- 40% increase in leads from the website
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, setting strategic direction and explaining the reasoning behind each content decision. The content team took on new goals and new ways of working. The PR vendor built authority in channels Two Octobers didn’t touch. Local marketing teams drove demand that the new content was designed to capture.
Education was a meaningful part of this success. A significant share of the work involved stakeholder engagement across the client’s marketing, communications, and tech organization. That meant helping teams understand the growth we were after, and what it would take to get there. It also meant helping them envision what high-quality, on-brand content looks like when it’s built for how AI and search crawlers work. When internal teams understand the logic, they make better independent decisions, and that multiplies impact 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.