AI Search
April, 2026.- In the 2026 digital landscape, where acronyms like GEO and AEO dominate CMO agendas, Jordan Brannon delivers a necessary reality check: AI doesn’t replace strategy; it simply reveals whether you had one to begin with. As a leader at Coalition Technologies, Brannon has witnessed brands of all sizes attempting to use AI as a distribution shortcut, only to find their entity signals inconsistent and their authority thin. For Jordan, Large Language Models (LLMs) are trust-synthesis engines; if a brand lacks clear information architecture and verifiable trust signals across the web, the AI “brain” simply won’t find it—or worse, won’t cite it.
In this exclusive interview with Roastbrief, Jordan Brannon breaks down why the obsession with new tech labels is often a symptom of reactive marketing. From the importance of “brand entity signals” to the danger of scaling confusion at high speed, Brannon argues that the future of visibility in generative search is not a new discipline, but a specialization of the SEO fundamentals his agency has perfected for years. Discover why 35% of marketers are failing at the basics and how to build an authority footprint that retrieval systems can reliably extract. This is a lesson on moving past the hype to start building real relevance in a world where AI is the new filter for truth.
1. AI Exposes Strategy Gaps: “AI doesn’t replace strategy, it exposes whether you had any to begin with.” What are you seeing in the market that makes you so confident in this observation? Can you give an example of a brand that thought it was AI-ready only to discover foundational gaps?
What makes me confident in that observation is simple, we keep seeing companies treat AI like a distribution shortcut when they underlying business is still vague about positioning, audience, proof, and differentiation. LLMs are very good at surfacing whether a brand actually has a coherent point of view, clear information architecture, and enough trust signals to be cited.
They do not create strategic clarity for you- they expose the absence of it faster than traditional search ever did. That’s been a consistent theme in my comments on AI visibility, and my cofounder/brother, Joel, has put the same point more bluntly. LLMs can only summarize what is already visible and well established on the web.
2. The New Acronyms (GEO, AEO) vs. Fundamentals: Brands are chasing new acronyms like Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) while neglecting structural factors. What are the “structural factors” that actually determine whether an LLM surfaces a brand? What should marketers focus on before they worry about the new acronyms?
The structural factors are the things that these retrieval systems can actually parse, verify, and trust. Right now, we know those include consistent entity information, crawlable and technically accessible pages, clear canonical URLs, strong internal linking, page structures that help answer questions directly, useful schema, original facts, reviews, and credible 3rd party citations.
Mysteriously (or not so..) that all is a part of SEO fundamentals today. And it is.
While the user interface is changing, the underlying search systems are remarkably familiar.
That’s why I also really dislike the new acronyms. I’ve said it before but a lot of these labels are weak user language. Marketers end up optimizing around internal chatter and VC pushed buzzwords like AEO and GEO that don’t actually have as much impact as SEO.
Right now, we’re treating GEO as the likely winner, and are approaching it like a specialty of SEO.
3. Inconsistent Brand Entity Signals: You’ve noted that most companies fail at AI search visibility for reasons unrelated to AI, including “inconsistent brand entity signals.” Can you explain what a “brand entity signal” is and how inconsistency across platforms undermines LLM visibility?
A brand entity signal is any data point that helps a system like LLMs confidently understand who you are, what you offer, and how references to you across the web connect to real world organizations, products, and services. That includes everything from your company name, to branded products, to key people, to your web domain, your physical locations, social profiles, reviews about you, and more.
Retrieval systems use these signals to reduce ambiguity since they want high confidence responses.
When those signals are inconsistent, the system has to work harder to decide whether all the references point to one entity or several. That undermines visibility. If your brand is described in varying ways on your site, and LinkedIn, and 3rd party directories, etc, you’re going to create confusion. And for AIs that ambiguity is expensive.
4. Thin Authority Footprints: Another factor you cite is “thin authority footprints.” How do you build the kind of authority that retrieval systems can reliably extract? Is this fundamentally different from traditional SEO authority building, or is it the same game with higher stakes?
A thin authority footprint means there is not enough dependable evidence around your brand for a retrieval system to feel comfortable using you as a source.
You can have a website, but there just isn’t enough surrounding reinforcement (citations, social proof, expert commentary, reviews, topical depth). A surprising number of companies have decent homepages and very weak evidentiary ecosystems.
This is a problem when AI systems are trying to synthesize answers from multiple sources and prefer support they can cross examine.
Building that authority is pretty similar to traditional SEO authority building. You need the same core ingredients- expert content, 3rd party validation, links, topical depth, etc. The difference is that now your content also needs to be approachable for LLMs.
5. An Ipsos study revealed a striking number of marketers lack the foundational understanding to know what they’re accelerating toward. Why do you think this knowledge gap exists, especially in search, and what’s the most dangerous consequence of moving fast without that foundation?
The knowledge gap exists because a lot of marketing teams have spent years operating in execution environments that rewarded channel fluency more than they rewarded first-principles thinking. Then AI came along and made it possible to produce more content, analysis, and recommendations at a much higher speed. That is exciting right up until you realize that speed multiplies whatever is underneath. The Ipsos study found that something like 35% of marketers met a basic benchmark for foundational marketing knowledge.
Search is especially vulnerable here because people mistake output for understanding. They see an AI-generated content plan, and technical audit, and assume the machine has solved the strategic problem. But it hasn’t. The most dangerous consequence of moving fast without solid foundations is that you’re just scaling confusion- which is quite fragile.
We’ve seen enough misuse of AI in client contexts to see this as an operational issue our agency can solve.
6. Optimizing for LLM Visibility Before It Was a Category: Coalition Technologies has been optimizing for LLM visibility since before most agencies acknowledged it was a category. What did that early work look like, and what lessons from those early experiments are proving most valuable now that AI search has gone mainstream?
Our early work was aimed at evaluating whether or not a grand GEO playbook would make the difference. We tested many new theories and techniques being promoted by those self-labeled GEO experts.
What we found was that SEO fundamentals worked exceptionally well. In part, because LLMs did search poorly, and borrowed liberally to make up for their shortcoming.
As our “GEO” strategies have evolved, they’ve become specializations of our overarching SEO strategies rather than something different altogether.
That allows us to produce work that wins in traditional search results, but also carries higher likelihood of showing up in a prompt response.
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2023 Roastbrief is a digital media with global presence that seeks to share knowledge and updates about the creative industry. Privacy Policy Send your press releases to: press@roastbrief.us
