Best AI Visibility Optimization Agencies in 2026: A Buyer's Framework for Choosing Between Traditional Agencies, Specialists, and the Hybrid Alternative
According to the 2026 AEO/GEO Benchmarks Report by Conductor, ChatGPT now drives 87.4% of all AI referral traffic to websites -- and AI Overviews appear in 25.11% of Google searches, up from 13.14% in March 2025. Meanwhile, 94% of B2B buyers use AI tools like ChatGPT during their buying process, and over half ask AI for vendor shortlists before ever opening a search engine. The question facing marketing leaders is no longer whether AI visibility matters, but who should manage it -- an agency, a tool, or something else entirely.
This buyer's framework evaluates every type of AI visibility optimization service available in 2026, from enterprise SEO firms bolting on AEO layers to pure-play specialists, content-led agencies, full-service digital shops, and the emerging hybrid model that combines service execution with product infrastructure. You will get transparent pricing data, a 5-criteria evaluation framework you can use in your own vendor conversations, and a clear picture of what each agency type actually delivers for the money.
What You'll Learn
The 5 types of AI visibility agencies and what each charges in 2026
A 5-criteria evaluation framework for comparing any agency or service
Why most agencies miss 88% of the AI retrieval surface -- and how to spot this gap
How 30-day performance cycles compare to traditional 6-12 month retainers
Where the hybrid service-plus-product model fits in your decision
Metric | Value | Source |
|---|---|---|
AI referral traffic from ChatGPT | 87.4% | |
Google searches with AI Overviews | 25.11% | |
Enterprises increasing AEO/GEO spend in 2026 | 94% | |
B2B buyers using AI in buying process | 94% | |
LLM visitor conversion rate vs traditional | 2x in 1/3 the sessions | |
Mid-tier AEO/GEO agency pricing | $2,000-$8,000/month | Eagles Media, 2025 |
Enterprise AEO/GEO agency pricing | $10,000-$20,000/month | Eagles Media, 2025 |
Standard agency contract length | 6-12 months minimum | Decafy, 2025 |
Why Is AI Visibility Now the Top Priority for Enterprise Marketing?
The shift from experimental budget line to strategic priority happened fast. According to the Conductor State of AEO/GEO in 2026 report, 94% of enterprises plan to increase their AEO/GEO spending in 2026, with companies having allocated an average of 12% of their digital budgets to AEO/GEO in 2025. The survey of 250+ C-suite leaders from enterprise organizations across 12+ industries found that 97% of CMOs and digital leaders reported AEO/GEO had a positive impact on their business.
This enterprise momentum is driven by a fundamental change in buyer behavior. According to Thunderbit's 2026 B2B buying statistics, 94% of B2B buyers use AI tools like ChatGPT during their buying process, and nearly 29% of buyers start research with an AI tool more often than with a search engine. Over half ask AI for vendor shortlists before ever Googling. Even more striking, 95% of the time, the winning vendor is already on the Day One shortlist -- meaning brands that are invisible to AI when that shortlist forms may never get a chance to compete.
Key Finding: 84% of B2B buyers say AI helps them make decisions faster -- Thunderbit, 2026. If your brand is not showing up in AI-generated answers, you are being removed from the consideration set before a buyer ever visits your website.
The financial stakes are significant. AI-generated visitors convert at 2x the rate in one-third the number of sessions compared to traditional channels, according to Conductor's benchmarks study of 13,770 domains. Separately, Omnius's GEO Industry Report cites Semrush data from June 2025 showing AI-generated visitors convert at 4.4x the rate of traditional organic search visitors. The difference in multiplier reflects different measurement populations, but the direction is unanimous: AI-referred traffic converts better.
The problem is that 56% of CMOs have already allocated significant or high investment in AEO/GEO, and high-maturity organizations are nearly 6x more likely to use integrated platforms versus point solutions. If you are still shopping for a service provider while your competitors have already operationalized AI visibility, you are behind. This guide will help you catch up by making the right vendor decision the first time.
What Types of Agencies Offer AI Visibility Services in 2026?
The AI visibility services market splits into five distinct categories. Each serves different buyer needs, carries different risk profiles, and operates at different price points. Understanding this taxonomy is the first step toward an informed vendor decision. If you are comparing tools rather than agencies, see our comparison of 27 AI brand visibility tools for the product-only side of this decision.
Type 1: Enterprise SEO Platforms Adding AEO
Traditional enterprise SEO companies like BrightEdge, Conductor, and seoClarity have added AI visibility features to existing platforms. Conductor added 50+ enterprise AI customers through Q3 2025, including Aladdin by BlackRock, Four Seasons, and TD Bank, and was named a Leader in the 2025 Forrester Wave for SEO Platforms. These platforms charge $10,000-$20,000+/month and typically require 12+ month contracts. Their strength is enterprise-grade infrastructure and established client relationships. Their weakness is that AI features are add-ons to existing SEO workflows, not purpose-built for AI retrieval architectures.
Type 2: Pure AEO/GEO Specialists
Agencies founded specifically around AI visibility include GenOptima, MaximusLabs, Growth Partners Media, and Mint Position. Pricing ranges from $3,000 to $10,000/month with 6-12 month contracts. Growth Partners Media has reported 73% ChatGPT visibility in 3 months and an 86% increase in AI citations for clients. Mint Position has achieved a 180% B2B lead increase and 98% ChatGPT prompt visibility. These specialists offer purpose-built methodology focused on AI citation outcomes, but many lack a proven track record, and methodology claims are often unverifiable.
Type 3: Content-Led Agencies
Content marketing agencies adapting to AI search include First Page Sage, Siege Media, Animalz, and Omniscient Digital. First Page Sage's GEO-specific tiers range from $2,000-$3,000/month for basic placements up to $8,000-$12,000/month for comprehensive programs including 3-5 superlative list articles per month plus PR services. Siege Media has generated $86.9M in annual client traffic value and 124K ChatGPT sessions. These agencies produce high-quality content at scale, but output cycles of 4-8 weeks per piece and contracts of 12-24 months make them slow and expensive.
Type 4: Full-Service Digital Agencies
Full-service shops like WebFX, Intero Digital, Ignite Visibility, and Single Grain have added AI visibility to broader marketing retainers. WebFX charges $1,500-$5,000/month, while Ignite Visibility ranges from $3,500-$10,000/month and Intero Digital from $3,000-$9,000/month. AI visibility is one of many priorities for these agencies. They offer integrated cross-channel work and familiar vendor relationships, but they lack proprietary AI methodology and depend on third-party tools.
Type 5: Hybrid Service-Plus-Product Model
The emerging model combines a service layer built on top of proprietary product infrastructure. Ekamoira's Query Intelligence Service is the example in this category, operating on 30-day cycles at $1,500-$5,000/month with a performance guarantee: positive citation trends within 30 days or the first month is free. The hybrid model combines monitoring, strategy, and execution in a single offering. Its weakness is that it represents an emerging category that requires educating buyers on how it works.
How Much Do AI Visibility Agencies Actually Charge?
Pricing transparency is one of the biggest frustrations for buyers shopping for AI visibility services. Most agency websites feature a "Contact Us" button where a pricing page should be. The data below, compiled from five independently verified sources, represents the most complete public pricing picture available for this market.
Agency Type | Monthly Range | Contract Minimum | Sources |
|---|---|---|---|
Enterprise SEO + AEO | $10,000-$20,000+ | 12+ months | |
Pure AEO Specialists | $3,000-$10,000 | 6-12 months | |
Content-Led Agencies | $2,000-$12,000 | 12-24 months | |
Full-Service Digital | $1,500-$10,000 | 6-12 months | |
Hybrid Service + Product | $1,500-$5,000 | 30-day cycles |
The pricing spectrum extends even further at the extremes. Multi-language and global market optimization starts at $20,000-$50,000+/month, and enterprise-tier agencies can charge $15,000-$40,000+/month for comprehensive programs. At the other end, Embarque offers plans starting at $299/month with a money-back guarantee, though scope at that level is minimal.
Here is a detailed look at specific named agencies and their confirmed pricing:
Agency | Monthly Price | Type | Source |
|---|---|---|---|
Victorious | $5,000-$15,000 | Enterprise specialist | |
Ignite Visibility | $3,500-$10,000 | Full-service digital | |
Nine Peaks Media | $3,500-$10,000 | AEO specialist | |
InboundJunction | $4,000-$9,000 | AEO specialist | |
Intero Digital | $3,000-$9,000 | Full-service digital | |
Hop AI | $3,000-$8,000 | AEO specialist | |
Rock The Rankings | $5,000-$10,000+ | B2B SaaS specialist | |
Growth Partners Media | $4,500+ minimum | AEO specialist | |
Scandiweb | $2,500-$10,000 | Full-service digital | |
BrainZ Digital | $2,000-$6,000 | AEO specialist | |
Coalition Technologies | $2,000-$2,500 | Full-service digital | |
97 Switch | $1,500-$4,000 | AEO specialist | |
Ekamoira Query Intelligence | $1,500-$5,000 | Hybrid service + product |
Pro Tip: When evaluating pricing, factor in the total commitment, not just the monthly rate. An agency charging $5,000/month on a 12-month contract represents a $60,000 commitment before you can evaluate results. A hybrid service at $3,000/month with 30-day cycles lets you evaluate outcomes after a $3,000 investment.
What Should You Look for When Evaluating an AI Visibility Agency?
Most buyer's guides list agencies without giving you a framework for evaluating them. The following 5-criteria framework is designed to be used in actual vendor conversations. Each criterion addresses a specific gap that separates agencies with genuine AI expertise from those repackaging traditional SEO tactics. As CXL noted in their 2026 reality check on AEO/GEO, some agencies are simply repackaging SEO fundamentals with new terminology and charging a premium.
Criterion 1: Methodology Transparency
The single most important question to ask any prospective AEO/GEO agency: can they show you a documented process for how they address the distinct citation architectures of ChatGPT, Perplexity, and Google AI Mode? Each platform retrieves, ranks, and surfaces content differently. An agency claiming to "optimize for AI" without a platform-specific methodology is likely applying generic SEO tactics with a new label.
Red flags include vague "we optimize for AI" claims with no documentation, inability to explain how AI search platforms decompose queries into sub-queries through query fan-out, and no acknowledgment that 88% of the AI retrieval surface consists of dark queries -- sub-queries with zero Google search volume that no traditional keyword tool can see. For the full research behind these numbers, see our query fan-out research showing 88% of AI citations come from dark queries.
Criterion 2: Platform Coverage
Does the agency optimize for all three major AI retrieval surfaces simultaneously -- Google AI Mode, ChatGPT, and Perplexity -- or just one? AI Overviews now appear in 25.11% of Google searches, ChatGPT processes 2.5 billion prompts a day, and Perplexity has emerged as the research tool of choice for B2B buyers. An agency focused only on Google AI Overviews is leaving the majority of the AI retrieval surface unaddressed.
Red flags include Google AI Overviews-only focus, no Perplexity monitoring capability, no ChatGPT citation tracking, and reporting from only one platform. For guidance on multi-platform tracking, see our AI visibility tracking tools comparison.
Criterion 3: Pricing Transparency
Can you see pricing tiers on the agency's website without going through a sales process? Pricing opacity is endemic in this market. AmICited's agency comparison segments agencies by client size -- $3,000-$5,000/month for startups, $5,000-$15,000/month for mid-market, and $15,000-$40,000+/month for enterprise -- but most individual agency websites force you through a discovery call before revealing costs.
Red flags include "contact us for pricing" as the only option, no published tier structure, pricing only revealed after a discovery call, and no clear mapping between price and deliverables. The agencies that publish pricing demonstrate confidence in their value proposition.
Criterion 4: Measurement Approach
This criterion separates agencies with genuine AI methodology from those running traditional SEO reports with new headers. The key question: is measurement forward-looking -- predicting which queries AI platforms will use to retrieve content in the future -- or backward-looking -- reporting which content was cited in the past?
Backward-looking tools take periodic snapshots of AI answers and report on historical citations. Forward-looking methodology maps the full AI retrieval surface by simulating query fan-out patterns and identifying dark queries before they happen. To understand what backward-looking measurement misses in practice, see the AI visibility blind spots that backward-looking tools create and the documented accuracy gaps in backward-looking AI visibility tools.
Red flags include snapshot-only reporting with no forward-looking component, no coverage of the dark query retrieval surface, and absence of GSC integration for grounding analysis in actual search behavior.
Criterion 5: Performance Accountability
The accountability gap is the most common source of buyer frustration. Standard minimum contracts for AEO/SEO agencies run 6-12 months, and new sites or domains require 9-12 months minimum before meaningful ranking traction. Typical ROI breakeven sits at 9-12 months, with B2B SaaS expecting 3-5x ROI by month 18 when LLM traffic reaches 15-20% of total organic volume.
As Wellows notes: "There is no 'set it and forget it' with AI -- continuous retraining is mandatory." The AI visibility landscape changes rapidly, and 71.7% of marketers cite lack of understanding as a barrier to AI adoption. If your agency cannot articulate what "success" looks like at the 30-day mark -- not just the 12-month mark -- that is a red flag.
Red flags include no performance guarantee of any kind, 6+ month lock-in before any accountability mechanism, vague "best efforts" language with no defined metrics, and inability to show interim progress indicators.
How Do the 5 Agency Types Score on the Evaluation Framework?
Applying the 5-criteria framework across all five agency types reveals a clear pattern: no traditional agency model scores well on all five criteria simultaneously. The following comparison uses publicly verified information for each agency type.
Criterion | Enterprise SEO + AEO | Pure AEO Specialists | Content-Led | Full-Service Digital | Hybrid Service + Product |
|---|---|---|---|---|---|
Methodology Transparency | Documented but SEO-first | Often claimed, rarely documented | Content process well-defined; AI methodology varies | Tool-dependent, varies | Published 5-stage pipeline |
Platform Coverage | Typically 2-3 platforms | Often 1-2 platforms | Content-focused, platform-agnostic | Depends on tools used | 3 platforms simultaneously |
Pricing Transparency | Opaque; requires sales process | Mixed; some publish | Tiered but high minimum | Some publish ranges | Published tiers on website |
Measurement Approach | Backward-looking with AI add-ons | Mix of backward/forward | Backward-looking content metrics | Backward-looking tool reports | Forward-looking; dark query coverage |
Performance Accountability | No guarantee; 12-month lock-in | No guarantee; 6-12 month lock-in | No guarantee; 12-24 month lock-in | No guarantee; 6-12 month lock-in | 30-day guarantee |
Watch Out: The most common mismatch is buying an enterprise-priced service at $10,000-$20,000/month that uses the same backward-looking tools available for $337/month. Before committing to an agency, ask which tools underpin their reporting. If the answer is Ahrefs Brand Radar, Semrush, or another snapshot tool, you are paying agency rates for tool-level insight.
Why Do Most Agencies Miss 88% of the AI Retrieval Surface?
When AI platforms like Google AI Mode, ChatGPT, or Perplexity receive a query, they do not treat it as a single search. They decompose it into 10-16 parallel sub-queries through a process called query fan-out. This means a single user query generates a dozen simultaneous retrieval events, each pulling content from different angles. Of those sub-queries, 88% are dark queries -- queries with zero traditional search volume that no Google-based keyword tool can see.
The overlap between traditional Google rankings and AI citations is remarkably low. Only 25-39% of Google rankings overlap with AI citations, and only 12% of ChatGPT citations come from Google's top-10 results. This means an agency that optimizes for Google rankings and then reports on AI visibility is optimizing for a surface that overlaps with AI retrieval less than 40% of the time.
Traditional agency reporting compounds this blind spot. Traditional website clicks have been reduced by as much as 34.5% due to AI search results, yet the measurement tools most agencies use -- backward-looking snapshot platforms -- can only report on a fraction of the actual AI retrieval surface. They see what was cited. They cannot see the dark queries that drove the citation decision, and they cannot predict which dark queries will appear in future retrievals.
For agencies to genuinely move the needle on AI visibility, they need forward-looking methodology that maps the full AI retrieval surface, including dark queries. Without this, you are paying for optimization of the 12-25% of the surface that overlaps with Google, while 88% of the actual retrieval activity remains invisible. See our original research on query fan-out and how AI search multiplies every query for the technical analysis behind these figures.
Key Finding: If your agency only optimizes for queries with Google search volume, they are addressing at most 12% of the queries that AI platforms actually use to generate answers. The remaining 88% -- the dark queries -- requires forward-looking methodology that simulates query fan-out across platforms.
What Does a Hybrid Service-Plus-Product Model Look Like?
The traditional vendor decision forces a false choice: buy an agency service that costs $5,000-$15,000/month with a 6-12 month lock-in, or buy a monitoring tool for $337/month that tells you what happened but cannot execute changes. Ekamoira's Query Intelligence Service was built to eliminate this false choice by combining product infrastructure with a managed service layer.
The service operates on the 5-stage query fan-out framework, a documented pipeline that moves from data to deliverable in 30 days:
Stage 1 -- GSC Seed Extraction (Days 1-2): The pipeline starts with the client's own Google Search Console data, extracting real queries that already drive impressions. This eliminates the cold-start problem that plagues agencies during onboarding discovery phases.
Stage 2 -- Volume Qualification (Days 3-5): Seeds are qualified through 9 proprietary models (CASO, TASS, DQV, ROI, CPFI, ICI, CPM, FDC, TCG) to estimate the full AI retrieval surface, including dark query volume.
Stage 3 -- Cluster Strategy (Days 6-8): Qualified queries are grouped into thematic clusters aligned to platform-specific citation architectures for Google AI Mode, ChatGPT, and Perplexity simultaneously.
Stage 4 -- Query Fan-Out Analysis (Days 9-15): Each cluster undergoes fan-out simulation to map the complete retrieval surface, identifying the specific dark queries that need coverage.
Stage 5 -- Citability-Scored Roadmap (Days 16-30): The output is a content roadmap where each content angle is scored by citability -- the probability of earning an AI citation on each target platform. This is a deliverable, not a report about what already happened.
The pricing operates across three published tiers: Discovery at $1,500/month, Growth at $3,000/month, and Accelerated at $5,000/month. The performance guarantee is explicit: positive citation trends within 30 days, or the first month is free.
TL;DR:
30-day cycles, not 6-12 month retainers
Performance guarantee with a defined trigger mechanism
3 platforms simultaneously, not single-platform focus
Forward-looking citability scoring, not backward-looking snapshot reports
$1,500-$5,000/month, openly published
How Do Agency Timelines and ROI Compare Across Models?
Timeline risk is one of the least discussed factors in the agency selection process. Standard minimum contracts for AEO/SEO agencies run 6-12 months, and new domains require 9-12 months minimum before meaningful ranking traction. ROI breakeven for most AEO engagements sits at 9-12 months, and B2B SaaS companies typically see 3-5x ROI by month 18 when LLM traffic reaches 15-20% of total organic volume.
For enterprise budgets, these timelines may be acceptable. For growth-stage companies, they represent significant risk. A mid-market brand committing to a $7,000/month agency on a 12-month contract is investing $84,000 before they have a reliable signal on whether the agency's methodology works.
The discovery/audit phase alone typically costs $1,000-$2,500 as an initial investment before recurring work begins. Add the first month of research and planning, and many buyers are three months and $20,000+ into an engagement before seeing any content deliverables.
The hybrid model compresses this timeline dramatically. By using Google Search Console data as the input seed -- rather than starting from a blank research phase -- the pipeline eliminates weeks of discovery. The 30-day cycle structure means buyers get a citability-scored roadmap within the first month, and the performance guarantee provides a defined exit point if the methodology does not produce measurable directional movement.
Pro Tip: Ask every agency you evaluate: "What will I have in my hands after 30 days?" If the answer is "a research report" or "we'll still be in the discovery phase," consider whether that timeline matches the urgency of AI visibility in 2026 -- particularly when 94% of your competitors' enterprises are increasing their AEO/GEO spend this year.
What Are the Biggest Red Flags When Selecting an AI Visibility Agency?
Beyond the 5-criteria framework, certain warning signs should immediately disqualify an agency from your shortlist. These patterns appear across the market and indicate either a lack of genuine AI expertise or a business model that prioritizes revenue over results.
Red Flag 1: No Published Methodology. AmICited's agency comparison identifies methodology transparency as a critical selection criterion and recommends asking agencies to explain their approach in detail. If an agency cannot produce a documented, step-by-step process showing how they address AI citation architectures -- not just SEO ranking factors -- their "AI visibility" offering is likely a relabeled traditional service.
Red Flag 2: Single-Platform Reporting. An agency that only tracks Google AI Overviews is missing 87.4% of AI referral traffic, which flows through ChatGPT. An agency that only tracks ChatGPT is missing Google AI Mode's 25.11% query coverage. Multi-platform coverage is not optional in 2026 -- it is a baseline requirement.
Red Flag 3: Tool-Dependent Methodology. If the agency's entire approach is built on top of Ahrefs, Semrush, or another backward-looking tool, they inherit that tool's blindspots. These tools report on a fraction of the actual AI retrieval surface. An agency with proprietary methodology or at least a layer of custom analysis on top of third-party data has a structural advantage.
Red Flag 4: No Performance Guarantee. 87% of AI projects fail not because of technology but because companies do not manage people and process aspects correctly. A performance guarantee is not about guaranteeing a specific ranking position -- it is about committing to measurable directional progress within a defined timeframe. Agencies that refuse any form of accountability are transferring 100% of the risk to you.
Red Flag 5: No Pricing Page. If you cannot find pricing on the website, assume the starting point is $5,000/month or higher. Pricing opacity exists because it enables agencies to price-discriminate based on perceived budget rather than actual scope. The agencies that publish pricing are the ones confident in their value delivery.
Frequently Asked Questions
What is the average cost of an AI visibility optimization agency in 2026?
Agency costs vary dramatically by type. Mid-tier AEO/GEO specialists charge $2,000-$8,000/month, enterprise agencies charge $10,000-$20,000+/month, and global multi-language optimization starts at $20,000-$50,000+/month. Hybrid service models like Ekamoira's Query Intelligence Service start at $1,500/month.
How long does it take to see results from an AI visibility agency?
Traditional agencies operating on 6-12 month contracts typically report ROI breakeven at 9-12 months, with new domains requiring 9-12 months before meaningful ranking traction. Hybrid models with 30-day cycles aim to deliver citability-scored roadmaps within the first month and measurable citation trend movement within 30 days.
What is the difference between AEO and GEO?
AEO stands for Answer Engine Optimization, focusing on being cited by AI answer engines like ChatGPT and Perplexity. GEO stands for Generative Engine Optimization, focusing on being cited by generative search experiences like Google AI Mode and AI Overviews. In practice, the two terms are increasingly used interchangeably to describe the same discipline: optimizing content for AI citation across all platforms.
Should I hire an agency or use an AI visibility tool?
This depends on your team's capacity and expertise. Tools like those covered in our AI visibility tracking tools comparison provide monitoring for $337/month on average but require in-house execution expertise. Agencies provide execution but at $3,000-$15,000/month with long contracts. The hybrid model combines both: monitoring infrastructure plus managed execution at $1,500-$5,000/month with short commitment cycles.
What are dark queries and why do they matter for agency selection?
Dark queries are sub-queries generated by AI platforms through query fan-out that have zero traditional search volume. They represent 88% of the AI retrieval surface. An agency that only optimizes for queries visible in Google keyword tools is addressing at most 12% of the queries AI platforms actually use. Ask prospective agencies whether their methodology accounts for dark queries -- if they do not know the term, their AI methodology may be superficial.
Do any AI visibility agencies offer performance guarantees?
Most traditional agencies explicitly avoid performance guarantees, citing algorithm unpredictability. Wellows describes the challenge: AI platforms can change their citation behavior between one day and the next. However, guarantees on directional progress -- as opposed to specific rankings -- are achievable. Ekamoira's Query Intelligence Service guarantees positive citation trends within 30 days or the first month is free. Embarque also offers a money-back guarantee on their plans starting at $299/month.
How do I know if an agency is just repackaging traditional SEO as AEO?
Look for three signals. First, ask whether their methodology explicitly addresses query fan-out and dark queries -- concepts that do not exist in traditional SEO. Second, check whether they optimize for multiple AI platforms simultaneously or only Google. Third, examine their reporting: if dashboards show traditional keyword rankings with an "AI mentions" column bolted on, the methodology is likely SEO with new labels.
What is a citability-scored roadmap?
A citability-scored roadmap is a content strategy deliverable where each recommended content angle is scored by its probability of earning an AI citation on specific platforms -- Google AI Mode, ChatGPT, and Perplexity. Unlike traditional keyword-difficulty-based content plans, citability scoring factors in query fan-out patterns, dark query coverage, and platform-specific citation architectures. It is a forward-looking output that predicts where content investment will generate AI visibility, rather than reporting on where visibility already exists.
Sources
Conductor (2025). "The 2026 AEO / GEO Benchmarks Report." https://www.conductor.com/academy/aeo-geo-benchmarks-report/
Conductor (2026). "The State of AEO / GEO in 2026: CMO Investment Report." https://www.conductor.com/academy/state-of-aeo-geo-report/
Userp (2026). "8 AEO & GEO Agencies to Maximize AI Visibility in 2026." https://userp.io/seo/best-aeo-geo-agencies-for-ai-searches/
Embarque (2026). "We Found 20 AI SEO Agencies Helping Businesses Rank in LLM Results." https://www.embarque.io/post/we-found-20-ai-seo-agencies-helping-businesses-rank-in-llm-results
MaximusLabs (2025). "Top 10 AEO/GEO Agencies 2025, Metrics Evaluated: Pricing, Portfolio & Reviews." https://www.maximuslabs.ai/answer-engine-optimizations/best-aeo-agencies
AmICited (2026). "Top GEO and AEO Agencies: Industry Leaders Compared." https://www.amicited.com/blog/top-geo-aeo-agencies-compared/
First Page Sage (2025). "Generative Engine Optimization (GEO) Cost Breakdown." https://firstpagesage.com/seo-blog/generative-engine-optimization-geo-cost-breakdown/
Eagles Media Enterprises (2025). "How Much Do GEO & AEO Agencies Charge in 2025?" https://eaglesmediaenterprises.com/how-much-do-geo-aeo-agencies-charge-in-2025/
GenOptima (2026). "Top AI Search Optimization Agencies in 2026." https://www.gen-optima.com/geo/top-generative-ai-search-engine-optimization-agencies-2026/
Decafy (2025). "What Are the Typical Contract Lengths When Hiring an SEO Agency?" https://decafy.com/what-are-the-typical-contract-lengths-when-hiring-an-seo-agency/
Wellows (2026). "Why Agencies Can't Guarantee AI Results in 2026." https://wellows.com/blog/why-agencies-cant-guarantee-ai-results/
Nick Lafferty (2025). "Answer Engine Optimization (AEO) Platform Buyers Guide (2026)." https://nicklafferty.com/blog/aeo-ai-visibility-platform-buyers-guide/
Omnius (2025). "GEO Industry Report 2025: Trends in AI & LLM Optimization." https://www.omnius.so/blog/geo-industry-report
Thunderbit (2026). "50 B2B Buying Stats That Every Sales Team Should Know (2026 Edition)." https://thunderbit.com/blog/b2b-buying-stats
CXL (2026). "Is AEO/GEO Just SEO Hype? What the Data Actually Shows." https://cxl.com/blog/aeo-geo-seo-reality-check/
BusinessWire (2025). "Conductor Reports Record Enterprise Momentum as AI Search Reshapes Digital Discovery." https://www.businesswire.com/news/home/20251216993239/en/Conductor-Reports-Record-Enterprise-Momentum-as-AI-Search-Reshapes-Digital-Discovery
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