The GEO Defensibility Problem: Most Brands Use the One AI Visibility Tactic That Is Easiest to Replicate
New research categorizes GEO tactics into three defensibility tiers. FAQ optimization — used by 49% of marketers — is the least defensible. Original data and digital PR form the actual moat.
New research from Fractl and Search Engine Land breaks GEO tactics into three defensibility tiers. The most popular tactic — FAQ optimization, used by 49% of marketers — lands in the "high risk" tier because AI can replicate it overnight. The actual moat sits in original data and digital PR, and fewer than 35% of brands invest there. Here is how I would reallocate a GEO budget based on this hierarchy.
Why the Most Popular GEO Tactic Is the Least Defensible
Fractl cofounder Kelsey Libert presented the defensibility hierarchy at SMX Advanced 2026. She categorizes GEO tactics into three tiers:
High risk (easiest to replicate):
- FAQ optimization — 49% of marketers use it, making it the most common GEO tactic. But as Libert explains, "general industry FAQs are typically pretty easy for AI and your competitors to produce." A tactic that 49% of brands share and that AI itself can generate is not a competitive position.
Table stakes (necessary but not sufficient):
- Building brand mentions — 43%
- Establishing topical authority — 36%
- Implementing structured data — 30%
These get you into the conversation. They do not keep you there.
The moat (hard for AI to replicate):
- Original data and proprietary studies — 35%
- Digital PR and earned media — 24%
This is where the defensibility lives. LLMs need fresh, original content to pull into retrieval queries. Your proprietary data and the earned coverage that cites it are the two things competitors and AI systems cannot manufacture from existing web content.
The Trust Numbers Back This Up
The same Fractl/Search Engine Land research found that consumer trust in AI search dropped from 82% in 2025 to 54% in 2026 — a 28-percentage-point decline in a single year. The skeptic camp grew sixfold over the same period.
That erosion matters for GEO strategy because it changes how buyers validate. Consumers now check an average of 2.4 platforms before acting on a purchase recommendation. Google still leads AI tools three-to-one for trusted product recommendations — 39% versus 14%, with Reddit sitting at 15% between them.
Meanwhile, Bain & Company's research shows 44% of US online buyers now start their journey in an LLM or split between AI tools and traditional search. This is not niche behavior — Bain found roughly twofold faster adoption among Gen Z and millennials compared with boomers, but every cohort is moving.
When trust in AI answers drops but usage keeps climbing, the sourcing behind those answers becomes the differentiator. An AI-generated answer that cites your proprietary study survives the validation step. One that restates a generic FAQ you share with 200 competitors does not.
The Unpaid Media Problem Media Teams Have Not Solved
Marketing Dive reports that 37% of consumer searches now start with AI tools instead of Google or Bing. SparkToro's clickstream analysis puts the zero-click rate at 68% for US Google searches in early 2026, up from 60% in 2024. The window where a user clicks through to your site is shrinking every quarter.
Abigail Niziankiewicz of Mediassociates frames the implication clearly: AI engines are three times more likely to cite premium publisher content than brand-owned content. And the data on what AI actually cites backs this up — Ahrefs analyzed 9.6 million ChatGPT queries and found Reddit, Wikipedia, Forbes, and Business Insider dominate the citation list. The common thread is third-party authority, not brand-owned FAQ pages.
BrightEdge's February 2026 research adds the ROI case: brands cited in AI Overviews see 35% higher adjacent organic CTR than uncited brands on the same queries. Being cited is not just a visibility play — it lifts the traditional search performance around it.
This is why digital PR — the least-adopted tactic in Libert's hierarchy at just 24% — is the one with the highest ceiling. It produces the third-party corroboration that AI systems weight most heavily in their confidence scoring.
What I Would Change in a GEO Budget This Week
If I were running GEO spend for a growth-stage B2B brand right now, here is the reallocation:
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Cut FAQ optimization from standalone projects. Keep FAQ content as a byproduct of deeper work, not as the lead deliverable. AI generates better FAQ content than most agencies.
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Shift budget to original research. Run a proprietary study, survey, or data analysis every quarter. Publish it with full methodology. This is the content AI systems cannot synthesize from existing sources, and it becomes the citation anchor for everything else.
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Invest in earned placements on trusted publisher sites. Trade and industry coverage, expert commentary in news outlets, analyst briefings — these produce the external authority signals that both AI systems and skeptical buyers use to validate.
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Treat structured data and brand mentions as maintenance, not strategy. These are table stakes. If you are not doing them, start. If they are your entire GEO plan, your position is fragile.
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Measure defensibility, not just visibility. Track how many of your AI citations come from proprietary sources versus commodity content. The ratio tells you how replaceable your position is.
How Machine Relations Fits the Moat Tier
The defensibility hierarchy maps directly to what Machine Relations operationalizes. MR treats earned media authority and original data as the primary inputs to AI citation — not as nice-to-have brand-building, but as the infrastructure that determines whether AI systems select your brand as a source.
The gap in Libert's data is striking: the moat tactics (original data + digital PR) are used by 24-35% of marketers while the high-risk tactic (FAQ optimization) is used by 49%. That is a market running in the wrong direction. The brands that close this gap first own a position that compounds because it gets harder, not easier, for competitors to replicate.
FAQ
What is the most defensible GEO tactic in 2026?
Original data and proprietary studies are the most defensible, according to Fractl's research presented at SMX Advanced 2026. AI systems cannot synthesize proprietary data from existing web content, making it the hardest GEO input to replicate. Digital PR — earning coverage on trusted publisher sites — ranks second because it generates third-party authority signals that AI confidence scoring relies on.
Why is FAQ optimization considered high risk for AI visibility?
FAQ optimization is used by 49% of marketers, making it the most common GEO tactic. But as Fractl cofounder Kelsey Libert notes, general industry FAQs are easy for both AI and competitors to produce. When nearly half the market uses the same tactic and AI systems can generate equivalent content, the competitive value approaches zero. FAQ content should be a byproduct of deeper original work, not a standalone strategy.
How much has consumer trust in AI search declined?
Fractl and Search Engine Land's research found that 82% of consumers found AI search more helpful than traditional search in 2025, but that figure dropped to 54% by 2026 — a 28-percentage-point decline in a single year. Consumers now validate AI answers across an average of 2.4 platforms before acting on recommendations.