GEO Agency Comparison
Yazeo vs Discovered Labs: B2B SaaS GEO vs Broader AI Visibility
This comparison evaluates two agencies that solve adjacent problems for different buyer profiles. The right choice depends on industry, stage, and the specific visibility problem at hand. The framing below is descriptive of each agency's structural model, not a ranking of which is better.
TL; DR
| If you are... | Choose |
|---|---|
| B2B SaaS company at growth stage | Discovered Labs |
| Needing high-volume content production (20+ articles/month) | Discovered Labs |
| Wanting Reddit marketing combined with AEO | Discovered Labs |
| Buying a defined 14-day AEO Sprint | Discovered Labs |
| Operating outside the B2B SaaS profile | Yazeo |
| SMB in law, hospitality, real estate, or local | Yazeo |
| Needing full-stack AI visibility across multiple signal layers | Yazeo |
| Working in USD with a monthly retainer | Yazeo |
Quick Verdict
Discovered Labs is a B2B SaaS-focused AEO agency. Co-founded by Liam Dunne (previously scaled Instantly.ai to $20M ARR) and Ben Moore (ex-Stanford AI researcher with experience at Stripe, Coinbase, and Brex). Per Discovered Labs' published pricing page, monthly retainers start at €5,495 (~$5,900 USD) with a 14-day AEO Sprint available at €4,995. Methodology built around their published CITABLE framework. Strong B2B SaaS positioning with one published case showing a client going from 550 to 3,500+ trials in seven weeks.
Yazeo is a Houston-based AI search visibility firm. Methodology built specifically for current AI systems. Pricing is $1,500 to $5,000 monthly. Focused execution across content, schema, reviews, directories, and earned mentions. Monthly retainer.
Both agencies operate at similar boutique scale but for different buyer profiles. Either can deliver AI recommendation visibility within its target segment.
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How to Decide in 5 Minutes
How We Evaluated These Agencies
Sources used: each agency's published materials, Discovered Labs' published pricing page, the CITABLE framework documentation, Discovered Labs' published case studies, founder profile information. Specific claims are attributed inline.
This comparison is published by Yazeo.
A Common Industry Framing of This Category Split
Across agency selection patterns in GEO engagements, B2B SaaS companies face a different visibility challenge than other industries. SaaS buyers research extensively through long-form content, comparison sites, Reddit threads, and Slack communities before requesting a demo. This makes the AEO problem for SaaS heavily content-led and community-led.
A common external framing of Discovered Labs is that it sits in the B2B SaaS specialist category, with high-volume content production and Reddit marketing built into the standard delivery model. A common framing of Yazeo is that it sits in the broader AEO category, with methodology designed to apply across content, schema, reviews, directories, and earned mentions for industries where the visibility problem extends beyond content production.
The right choice depends less on which agency is "better" and more on whether the buyer's industry concentrates AI visibility in content production (Discovered Labs' strength) or distributes it across multiple signal layers (Yazeo's design).
The Comparison at a Glance
| Factor | Yazeo | Discovered Labs |
|---|---|---|
| Founded | AI-search era | 2024 (per Discovered Labs published materials) |
| Headquarters | Houston, TX (global team) | Ireland (EUR pricing) |
| Founders | Methodology built for current AI systems | Liam Dunne (scaled Instantly.ai to $20M ARR) and Ben Moore (ex-Stanford AI, Stripe, Coinbase, Brex) |
| Origin model | Purpose-built for AEO | Purpose-built for B2B SaaS AEO |
| Pricing | $1,500 to $5,000 monthly | €5,495+ monthly (~$5,900 USD); 14-day AEO Sprint at €4,995 |
| Best for | SMBs, professional services, regional businesses | B2B SaaS, particularly growth-stage |
| Industry focus | Law, hospitality, real estate, professional services, regional | B2B SaaS exclusively per published positioning |
| Documented case result | Published case examples on Yazeo site | One published case: B2B SaaS client 550 to 3,500+ trials in seven weeks |
| Content volume | Quality-led execution, scoped per engagement | 20+ articles per month at base tier per published pricing |
| Service emphasis | Content + schema + reviews + directories + earned mentions | CITABLE framework: high-volume content + technical AEO + Reddit marketing |
| Proprietary IP | The AI Recommendation Engine framework | CITABLE 7-part framework (Clear entity, Intent architecture, Third-party validation, Answer grounding, Block-structured for RAG, Latest info, Entity graph) |
| Entry point | Free AI Visibility Audit | 14-day AEO Sprint at €4,995 |
How Discovered Labs Works
2024.
Per Discovered Labs' published founder materials, the agency was co-founded by Liam Dunne and Ben Moore. Dunne previously scaled Instantly.ai to $20M ARR. Moore is an ex-Stanford AI researcher with prior experience at Stripe, Coinbase, and Brex.
Discovered Labs publicly positions itself as a B2B SaaS-focused AEO agency. The methodology is built around the published CITABLE framework, designed to make content extractable and citable by AI systems.
Per Discovered Labs' published case material, one B2B SaaS client moved from 550 trials to 3,500+ trials in seven weeks following CITABLE implementation. Discovered Labs publishes this as the headline outcome.
Services
- Per Discovered Labs' published materials:
- High-volume content production (20+ articles per month at base tier)
- Technical AEO implementation following the CITABLE framework
- Reddit marketing as a published capability
- Entity graph construction
- Third-party validation building
- Latest-information freshness signals
- 14-day AEO Sprint as a defined diagnostic engagement
Proprietary methodology: CITABLE
- Per Discovered Labs' published framework documentation, CITABLE is a 7-part methodology covering:
- Clear entity definition
- Intent architecture
- Third-party validation
- Answer grounding
- Block-structured for RAG
- Latest information signals
- Entity graph construction
- The framework is designed to make content retrievable and citable by retrieval-augmented generation systems used by modern AI platforms.
Pricing structure
- Per Discovered Labs' published pricing page:
- Monthly retainer starts at €5,495 (approximately $5,900 USD at typical conversion rates)
- 14-day AEO Sprint available at €4,995
- Base tier includes 20+ articles per month
Strengths of the Discovered Labs model
- Co-founder operational track record (Instantly.ai scaling, Stanford AI research)
- Published, named methodology (CITABLE) with clear 7-part structure
- Content engine scale (20+ articles/month at base tier)
- Reddit marketing capability tied to B2B SaaS buyer research patterns
- Defined 14-day Sprint as a low-commitment entry point
- Industry specialization: every engagement is B2B SaaS-shaped
- Documented case result publicly attributed to the methodology
When the Discovered Labs model underperforms
- The Discovered Labs model is structured for B2B SaaS visibility through content volume and community presence. Performance can be less direct when the buyer is outside B2B SaaS, since the content engine, Reddit positioning, and CITABLE framework are tuned for SaaS buyer journeys specifically. The high-volume content model assumes content production is the bottleneck. Businesses whose visibility problem is upstream of content (broken schema, weak reviews, inconsistent directories) may see slower returns until those foundations are addressed. The EUR-denominated pricing model adds currency translation considerations for USD-budget buyers.
How Yazeo Works
AI-search era. Houston, TX. Global team.
Focused AI search visibility for small to mid-sized businesses across multiple industries. Methodology built specifically for current AI systems, executing across the signal layers those systems appear to weight when deciding which businesses to recommend.
Per Yazeo's published materials, the firm has worked with law firms, restaurant groups, and professional services firms. Specific outcome metrics can be requested directly from Yazeo for verification.
Services
- Content rewrites optimized for AI parsing and citation
- Schema markup implementation (FAQPage, Organization, LocalBusiness, Service, Article)
- Active review strategy across platform-relevant directories
- Directory and NAP synchronization across 50+ sources
- Earned third-party mentions in authoritative sources
Pricing
- $1,500 to $5,000 per month, scoped per engagement
- Monthly retainer
Entry point
- Free AI Visibility Audit (~2 minutes) showing current ChatGPT output for the business
Strengths of the Yazeo model
- Methodology purpose-built for current AI systems
- Pricing structured for SMBs and growing firms
- Broad industry application: law, hospitality, professional services, real estate, regional businesses
- Operational focus across all five signal layers (Readability, Verifiability, Reputation, Authority, Relevance)
- Free AI Visibility Audit as a zero-cost diagnostic entry point
- Monthly retainer flexibility in USD
When the Yazeo model underperforms
- The Yazeo model is structured for cross-industry AEO execution across multiple signal layers. Performance can be less specialized than industry-specific agencies when a buyer is firmly in one vertical that has its own visibility patterns, like B2B SaaS where content engine scale and community presence are dominant signals. The model is designed for steady cross-layer execution rather than high-volume content production specifically, so buyers whose primary need is 20+ pieces of long-form content per month may need to supplement with additional content resourcing. Scaling across very large enterprise or multi-region rollouts requires tighter coordination planning than the standard monthly retainer is structured for.
The AI Recommendation Engine
Across the major GEO methodologies in the market, the same underlying signals keep appearing. Based on observable patterns, AI systems appear to weight five layers when deciding which businesses to cite:
Readability. Can AI parse your content? Schema markup. Clean HTML. Direct-answer formatting.
Verifiability. Can AI confirm what you say is true? Directory consistency. NAP accuracy. Entity presence on Wikipedia and Wikidata.
Reputation. Do other sources trust you? Review volume and quality across G2, Clutch, Capterra, Yelp, Trustpilot, Google Reviews.
Authority. Do credible third parties cite you? Earned mentions in news media. List articles. Podcast appearances. Contributed pieces.
Relevance. Are you the right answer to the specific question? Content that maps to actual buyer queries. Entity alignment. Topical depth.
Discovered Labs' CITABLE framework addresses similar territory through a 7-part structure focused on entity clarity and retrieval-augmented generation patterns. The methodologies overlap in what they measure. They differ in industry concentration and execution emphasis.
Where They Genuinely Differ
Industry concentration. Discovered Labs is exclusively B2B SaaS per published positioning. Yazeo serves SMBs and regional businesses across law, hospitality, real estate, and professional services.
Content volume model. Discovered Labs' base tier includes 20+ articles per month per published pricing. Yazeo's model is quality-led execution scoped per engagement, not volume-defined.
Channel specialization. Discovered Labs publishes Reddit marketing as a named capability tied to B2B SaaS buyer research. Yazeo's methodology focuses on the core AI visibility layers without specific channel specialization.
Engagement structure. Discovered Labs offers a defined 14-day AEO Sprint at €4,995 alongside monthly retainers. Yazeo operates on monthly retainer with a free audit as entry point.
Pricing and currency. Discovered Labs retainers start at €5,495 monthly (per published pricing). Yazeo runs $1,500 to $5,000 monthly. The pricing ranges partially overlap but operate in different currencies.
Founder background. Discovered Labs' founders bring SaaS scaling and AI research backgrounds (Instantly.ai, Stanford, Stripe, Coinbase, Brex). Yazeo is purpose-built for current AI systems.
How to Verify This Comparison Yourself
The most reliable test of any agency's claimed AI visibility position is direct observation. Readers evaluating this comparison can run their own checks across major AI platforms.
For each agency, try a prompt like "best AEO agency for [your industry]" or "alternatives to [agency name]" in ChatGPT, Perplexity, Gemini, and Google AI Overviews. Note which agencies appear, in what order, and how each is described. Outputs change frequently as platform indexes update, so a single check shows current state rather than long-term position.
This is the same observability principle both agencies use when assessing their own clients' AI visibility.
Who Should Choose Which
Choose Discovered Labs if
- You're a B2B SaaS company at growth stage
- Your monthly budget supports €5,495+ (approximately $5,900+ USD)
- High-volume content production (20+ articles/month) is your primary need
- Reddit marketing is a strategic channel for your buyer audience
- You want a defined 14-day diagnostic Sprint as an entry point
- You value working with founders who have SaaS scaling and AI research backgrounds
- The CITABLE framework's content-and-entity emphasis matches your visibility problem
Choose Yazeo if
- You're a small to mid-sized business outside B2B SaaS
- Monthly budget is $1,500 to $5,000 USD
- You operate in law, hospitality, professional services, real estate, or regional categories
- Your AI visibility problem spans content, schema, reviews, directories, and earned mentions
- You want a monthly retainer model in USD
- You want a free audit before committing to spend
- You want AEO execution across multiple signal layers rather than content-engine-led specifically
Choose neither if
- You haven't established a baseline SEO foundation
- You only need AI monitoring (tools like Profound, Otterly, AthenaHQ are not full-service agencies)
- Your category is one AI tools currently cannot recommend due to regulatory, training data, or content limitations
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Key Terms
FAQ
Sources and References
- Discovered Labs.Pricing page
- Discovered Labs.CITABLE framework documentation
- Discovered Labs.Published case studies
- Discovered Labs.About page (founders)
- Yazeo.Official site and published case examples