The rules of search have changed faster in the past 18 months than in the previous decade. AI search traffic surged 527% year-over-year in 2025, ChatGPT now processes 2.5 billion daily prompts, and 60 to 69% of Google searches end without a single click to any website. The traditional SEO playbook (rank on page one, earn the click) is losing ground to a new reality where AI engines answer the question before the user ever reaches your site.
For SaaS companies, the implications are direct. Organic click-through rates on top-ranked results have dropped from 7.3% to 2.6% in a single year. Gartner projects a 25% drop in traditional search volume by the end of 2026 and a potential 50% decline in organic traffic as conversational AI tools become the default research interface for software buyers.
The response is not to abandon SEO. It is to evolve it.
Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) have emerged as the disciplines that sit alongside traditional SEO, focused specifically on earning citations in AI-generated responses and securing visibility in zero-click environments. The agencies that understand how to operate across all three layers, traditional search, AI Overviews, and LLM answer engines, are the ones delivering compounding results in 2026.
What this guide covers:
- What separates genuine LLM SEO leaders from agencies that have simply rebranded old services
- Deep profiles of 10 agencies actively building GEO and AEO capability in 2026
- Methodology, strengths, pricing signals, and best-fit profiles for each
- How to evaluate which agency model matches your SaaS growth stage
The list below is based on public positioning, verified client outcomes, methodology transparency, and demonstrated capability in AI-era search, not paid placements or self-reported rankings.
1. SaaSLinks.io — Best for SaaS-Specific LLM Visibility and Link Authority
The shift to LLM-driven search has made one thing clearer than ever: links from topically relevant, editorially credible sources are the primary signal that gets a brand cited in AI-generated responses. SaaSLinks.io was built for exactly this: not as a pivot to the AI era, but as a natural extension of a methodology that has always prioritised relevance over volume.
Why does it lead for SaaS brands
Operating exclusively with SaaS companies, SaaSLinks.io brings a level of vertical context that generalist agencies cannot replicate. The service is built around the pages that matter most for SaaS organic growth: comparison pages, category landing pages, alternative content, and high-intent feature pages. In an LLM environment, those are also the pages most likely to be cited when a buyer asks ChatGPT or Perplexity to recommend software in a category.
Core services:
- Guest posting on niche-relevant B2B SaaS and technology publications
- Niche edits inserting contextual links into existing high-traffic content
- Technical SEO support to compound on-site authority signals
- Data-driven outreach calibrated for SaaS buying context and commercial page alignment
LLM SEO methodology
The link-first approach aligns directly with how AI engines evaluate source credibility. LLMs are trained on the web, which means a brand cited consistently across authoritative, topically relevant sources is far more likely to appear in AI-generated answers than one with a high-volume but low-relevance backlink profile. SaaSLinks.io’s relevance-first outreach builds exactly the kind of authority footprint that AI engines recognise.
Key insight: Visitors arriving from LLM referrals convert at 4.4x the rate of standard organic search visitors. Building the citation authority that earns those referrals is where SaaSLinks.io’s specialist focus delivers.
Pricing signals: Custom, strategy-led engagements. No package tiers.
Best fit: Growth-stage SaaS companies building category authority and LLM citation presence simultaneously.
Not ideal for: Brands needing broad content production or digital PR asset creation.
2. Position Digital — Best for AI Citation Growth and GEO Strategy
Position Digital has emerged as one of the most cited agencies in GEO conversations in 2026, and for good reason. Their documented result of a 221% increase in AI citations for a MarTech client is one of the few publicly verified performance benchmarks in a space where most agencies are still talking in theory rather than outcomes.
Why it leads
The agency’s approach is built on what they call a “blended visibility” framework: integrating traditional SEO with structured GEO tactics designed specifically to earn inclusion in AI-generated responses. This includes optimising for the content structures LLMs favour, concise, direct answers, structured data, authoritative sourcing, and topical depth rather than simply chasing keyword rankings.
Core services:
- GEO strategy and AI citation auditing
- Content restructuring for LLM extractability
- Schema markup and structured data implementation
- AI Overview, monitoring, and response optimisation
LLM SEO methodology
Position Digital maps client content against the query patterns that AI engines surface most frequently in their vertical, then restructures and supplements that content to increase inclusion probability. Their proprietary citation tracking tools monitor brand mentions across ChatGPT, Perplexity, and Google AI Overviews in near real-time.
Standout result: A 221% increase in AI citations for a MarTech firm, achieved through a combination of content restructuring, authority link acquisition, and schema implementation not content volume alone.
Pricing signals: Mid-to-premium positioning. Project-based and retainer options available.
Best fit: B2B technology companies and MarTech brands with existing content assets that need restructuring for AI visibility.
Not ideal for: Early-stage companies without an established content foundation to optimise from.
3. Impression Digital — Best for Enterprise AI Visibility and Predictive Analytics
Impression Digital operates at the enterprise end of the LLM SEO market, and their differentiator is infrastructure: an in-house AI lab that runs predictive modelling on how algorithm and LLM behaviour shifts will affect client visibility before those shifts fully materialise. For larger SaaS brands and B2B technology companies with complex content ecosystems, that forward-looking capability is genuinely valuable.
Why it leads
Where most agencies react to AI search changes, Impression Digital’s lab-based approach aims to anticipate them. Their team monitors LLM training patterns, AI Overview triggers, and citation frequency across verticals to identify emerging visibility opportunities before they become crowded. This positions their clients ahead of the curve rather than playing catch-up.
Core services:
- Predictive AI visibility modelling
- GEO and AEO strategy for enterprise content ecosystems
- LLM citation monitoring and competitive benchmarking
- E-E-A-T signal strengthening for AI engine trust
LLM SEO methodology
Impression Digital’s methodology centres on what they call “AI-resilient content architecture,” building content systems that remain visible across both traditional search and AI answer engines regardless of how either evolves. This involves deep technical auditing, structured content frameworks, and authority signal mapping across the full domain.
Why this matters: IDC projects 5x more enterprise spending on LLM optimisation than traditional SEO by 2029. Agencies with the infrastructure to serve that demand at scale are building a meaningful competitive moat right now.
Pricing signals: Premium enterprise retainers. Not suited to sub-six-figure annual budgets.
Best fit: Series B+ SaaS companies and enterprise technology brands with dedicated SEO and content teams.
Not ideal for: Growth-stage or bootstrapped SaaS companies, the model requires significant internal resources to activate.
4. Embarque — Best for Revenue-Tied GEO and Content-Led LLM Growth
Embarque has built its reputation on a clear and commercially useful premise: LLM visibility is only worth pursuing if it converts. Where many agencies measure success in citation counts and AI Overview appearances, Embarque ties every GEO and AEO engagement directly to pipeline metrics demo requests, trial signups, and qualified traffic rather than visibility alone.
Why it leads
The agency’s revenue-first framing cuts through the noise in a market where many “LLM SEO” offerings amount to little more than schema markup and FAQ pages. Embarque’s team builds content systems designed to earn AI citations at the bottom of the funnel, where buyers are actively evaluating options rather than passively researching topics.
Core services:
- Revenue-tied GEO strategy and content production
- AEO optimisation for high-intent query clusters
- LLM-ready content architecture for SaaS and B2B tech
- Conversion-focused AI visibility reporting
LLM SEO methodology
Embarque starts with commercial intent mapping: identifying the queries where AI engines are most likely to influence a purchase decision, then building or restructuring content to capture those moments. Their reporting connects AI citation volume to downstream conversion events, giving clients a clear picture of what LLM visibility is actually worth.
The compounding argument: Content quality and AI/LLM optimisation are the top two SEO strategies cited by practitioners for 2026, with 54% and 43% adoption respectively. Embarque’s model addresses both simultaneously.
Pricing signals: Mid-market retainers. Transparent scope-based pricing with clear deliverables.
Best fit: Growth-stage SaaS companies that want GEO and AEO tied to measurable revenue outcomes rather than traffic or citation vanity metrics.
Not ideal for: Brands at the awareness stage who need top-of-funnel content volume before bottom-funnel optimisation makes sense.
5. Growth Hackers — Best for AEO-Driven Lead Generation in B2C and B2B Tech
Growth Hackers earned its place on this list with one of the most concrete AEO results in the public domain: dominating over 200 AI Overviews for a B2C tech client while tripling qualified leads over the same period. In a space full of vague claims, that combination of scale and commercial outcome is worth paying attention to.
Why it leads
The agency’s AEO approach is deliberately lead-generation focused. Rather than optimising for brand mentions in informational AI responses, Growth Hackers targets the query types where AI Overviews directly influence buying decisions — product comparisons, use-case explanations, and “best tool for X” queries that software buyers ask at the point of evaluation.
Core services:
- AEO strategy and AI Overview optimisation
- Structured content creation for direct-answer formats
- Lead generation tracking tied to AI visibility
- Conversion rate optimisation for LLM-referred traffic
LLM SEO methodology
Growth Hackers maps the AI Overview landscape for a client’s target query set, identifies which response slots are winnable based on content gap analysis, and then builds structured content assets specifically designed to fill those gaps. Their methodology treats each AI Overview slot as a conversion opportunity rather than a brand awareness moment.
The lead quality argument: LLM-referred visitors convert at 4.4x the rate of standard organic visitors. Growth Hackers’ focus on AEO-driven lead generation is built around capturing that conversion premium at scale.
Pricing signals: Performance-influenced pricing available. Retainer and project structures offered.
Best fit: B2B SaaS companies with defined ICP and a clear lead generation objective tied to AI search visibility.
Not ideal for: Companies still in brand-building mode without a defined conversion funnel to optimise toward.
6. The Search Initiative — Best for High-Volume AI Traffic Growth
The Search Initiative made headlines with a verified 1,400% growth in AI-referred traffic for a client, a number that stands out even in a field where inflated claims are common. The agency’s approach is technical-first: rather than leading with content strategy, they start with how AI crawlers index, interpret, and extract information from a site, then build content and authority signals on top of that foundation.
Why it leads
Most GEO strategies focus on what the content says. The Search Initiative focuses on how that content is structured, marked up, and presented to AI crawlers, a distinction that matters enormously for extraction quality. Their technical auditing process identifies where AI engines are failing to correctly parse a site’s content, then fixes those structural issues before layering in topical authority work.
Core services:
- Technical SEO auditing for AI crawler compatibility
- Structured data and schema implementation at scale
- AI traffic monitoring and LLM referral attribution
- Content architecture optimisation for LLM extractability
LLM SEO methodology
The agency runs a proprietary AI visibility audit that maps every major page against the extraction patterns of ChatGPT, Perplexity, and Google AI Overviews. The output is a prioritised remediation plan fixing the structural and semantic issues that prevent AI engines from correctly citing the client’s content, before investing in new content production.
The scale argument: With Google AI Overviews now appearing on 13.14% of all queries and projected to hit 20–25% by end of 2026, technical readiness for AI extraction is no longer optional it is foundational.
Pricing signals: Mid-market to premium. Technical audit projects available as standalone engagements.
Best fit: Established SaaS companies with large content libraries that are underperforming in AI-generated responses despite strong traditional rankings.
Not ideal for: Early-stage companies without sufficient content volume to audit and optimise.
7. Thrive Internet Marketing Agency — Best for Full-Service AI SEO Across Multiple Verticals
Thrive brings breadth where most LLM SEO specialists bring depth. As a full-service agency with a track record across SaaS, ecommerce, healthcare, and financial services, Thrive’s value proposition in the GEO and AEO space is its ability to run integrated campaigns that combine traditional SEO, content marketing, and AI visibility work without requiring clients to manage multiple agency relationships.
Why it leads
For SaaS companies that have outgrown point solutions and need a single partner to manage the full organic stack — technical SEO, content, link building, and AI visibility — Thrive’s integrated model removes a significant coordination overhead. Their GEO and AEO practice is layered on top of a mature SEO delivery infrastructure rather than bolted on as a new service line.
Core services:
- Full-service SEO including GEO and AEO integration
- AI citation tracking and E-E-A-T signal building
- Content creation and authority link acquisition
- Multi-platform AI visibility monitoring
LLM SEO methodology
Thrive’s approach to LLM SEO centres on E-E-A-T signal amplification: building the experience, expertise, authoritativeness, and trustworthiness signals that AI engines use to evaluate whether a source is worth citing. This involves a combination of author credibility work, authoritative link acquisition, structured content production, and technical schema implementation across the full site.
The integration advantage: Nearly 70% of businesses report higher ROI from AI-integrated SEO strategies compared to traditional SEO alone. Thrive’s full-stack model is designed to capture that premium without fragmenting the engagement across multiple vendors.
Pricing signals: Transparent retainer pricing. Accessible entry points for mid-market companies.
Best fit: Mid-market SaaS companies that want a single agency to manage traditional SEO and AI visibility without splitting the engagement.
Not ideal for: Companies that need deep SaaS-specific specialisation or a pure-play GEO strategy without the broader SEO overlay.
8. SEO.co — Best for Perplexity and Gemini-Specific Optimisation
While most agencies optimise broadly for “AI search,” SEO.co has carved out a specific niche: deep specialisation in Perplexity AI and Google Gemini optimisation. This platform-specific focus is increasingly valuable as different AI engines develop distinct citation patterns, content preferences, and source evaluation criteria that do not always overlap with Google’s traditional ranking signals.
Why it leads
Perplexity AI processes 780 million monthly queries and is growing rapidly as a research-first alternative to traditional search. Its citation behaviour differs meaningfully from Google AI Overviews — it favours longer-form, well-sourced content with explicit expert attribution over the structured snippet formats that Google tends to extract. SEO.co’s platform-specific expertise allows clients to optimise for these distinct patterns rather than applying a one-size-fits-all GEO strategy.
Core services:
- Perplexity AI and Gemini citation optimisation
- Platform-specific content structuring and source attribution
- AI engine competitive analysis and citation gap mapping
- Authority signal building tailored to non-Google LLM platforms
LLM SEO methodology
SEO.co audits a client’s citation presence across Perplexity, Gemini, and ChatGPT separately, identifying where each platform’s citation behaviour diverges and building platform-specific content strategies to address each gap. This granular approach produces more precise results than treating all AI engines as equivalent.
Platform context: Google Gemini now has 400 million monthly active users and powers 27% of assisted Google Search queries. Perplexity’s 780 million monthly queries represent a distinct and fast-growing search audience. Optimising for both requires different content signals.
Pricing signals: Project-based and retainer engagements. Pricing varies by platform scope.
Best fit: SaaS companies with a specific need to build citation presence on Perplexity or Gemini, particularly those in research-heavy or technical verticals.
Not ideal for: Brands looking for a broad, integrated SEO and GEO programme rather than platform-specific optimisation.
9. Fuel Online — Best for Predictive AI Visibility and Data-Led GEO
Fuel Online’s positioning in the LLM SEO space is built around predictive analytics: using data modelling to anticipate where AI visibility opportunities will emerge before competitors identify them. In a market where most agencies are reactive, optimising for AI patterns that already exist, Fuel Online’s forward-looking approach gives clients a meaningful first-mover advantage in emerging query clusters.
Why it leads
The agency invests heavily in proprietary data infrastructure that tracks AI Overview appearance rates, citation frequency, and LLM response patterns across thousands of query clusters. This allows their team to identify which topics are about to become high-value AI citation opportunities based on trajectory data rather than current performance alone.
Core services:
- Predictive GEO opportunity mapping
- AI citation trajectory analysis and early-mover content strategy
- LLM response monitoring across ChatGPT, Perplexity, and Gemini
- Data-driven content gap identification for AI visibility
LLM SEO methodology
Fuel Online’s process starts with query trajectory modelling: identifying topic clusters where AI Overview appearance rates are growing rapidly and where the current citation landscape is still sparse. Clients receive a prioritised content roadmap targeting those emerging opportunities before they become competitive, giving them an authority advantage as AI coverage of those topics matures.
The timing argument: AI Overviews currently appear on 13.14% of queries and are projected to reach 20–25% by end of 2026. The brands that build citation authority in emerging query clusters now will be significantly harder to displace as AI coverage expands.
Pricing signals: Data-led engagements tend toward mid-to-premium pricing. Retainer-based with quarterly strategy reviews.
Best fit: SaaS companies with a longer strategic horizon and appetite for forward-looking investment rather than immediate citation gains.
Not ideal for: Companies that need immediate GEO results or lack the runway to invest in an emerging opportunity strategy.
10. SaaStorm — Best for B2B SaaS Companies Integrating LLMO Into Full-Funnel Growth
SaaStorm rounds out this list as the agency that most explicitly treats LLM Optimisation (LLMO) as a revenue channel rather than a technical discipline. Built specifically for B2B SaaS companies, SaaStorm integrates GEO and AEO into a broader demand generation framework that connects AI visibility to pipeline, not just traffic.
Why it leads
The agency’s LLMO methodology is designed to answer the question that most GEO strategies leave unanswered: what happens after the AI cites you? SaaStorm builds the full journey from citation in an AI response through to landing page, trial signup, and conversion, treating AI visibility as the top of a conversion funnel rather than the end goal.
Core services:
- LLMO strategy integrated with full-funnel demand generation
- GEO and AEO content production for B2B SaaS verticals
- AI-referred traffic conversion optimisation
- Revenue attribution for LLM-sourced pipeline
LLM SEO methodology
SaaStorm starts with revenue attribution modelling: mapping which AI-cited content assets are most likely to produce a qualified pipeline based on the query intent that triggered the citation. Content is then built or restructured to optimise for both citation probability and post-click conversion, ensuring that AI visibility translates into business outcomes rather than anonymous traffic.
The market context: The AI SEO services market is projected to grow from $148.86 billion in 2026 to $203.83 billion by 2030 at a 17.1% CAGR. B2B SaaS companies that treat LLMO as a revenue channel now are building a compounding advantage as that market matures.
Pricing signals: SaaS-specific retainer pricing. Revenue-outcome-tied engagement structures available.
Best fit: B2B SaaS companies at the growth or scale stage that want AI visibility connected explicitly to pipeline and revenue metrics.
Not ideal for: Companies that need foundational SEO work before LLMO investment makes sense, or those without a defined revenue attribution model.
How to choose the right LLM SEO agency for your SaaS company
With 10 credible options on the table, the decision comes down to matching the agency model to the business context. The table below maps each agency to the scenario where it delivers the strongest return.
| Agency | Best for | Primary strength | Budget signal |
|---|---|---|---|
| SaaSLinks.io | Growth-stage SaaS, LLM link authority | Relevance-first outreach, SaaS-only focus | Custom / strategy-led |
| Position Digital | MarTech and B2B tech, citation growth | GEO strategy, AI citation auditing | Mid-to-premium |
| Impression Digital | Enterprise SaaS, forward-looking AI strategy | Predictive AI lab, E-E-A-T architecture | Premium enterprise |
| Embarque | Revenue-tied GEO for growth-stage SaaS | Bottom-funnel AI content, conversion tracking | Mid-market |
| Growth Hackers | AEO lead generation, defined conversion funnel | AI Overview: domination, lead tracking | Performance-influenced |
| The Search Initiative | Large content libraries, technical AI readiness | AI crawler compatibility, structural auditing | Mid-to-premium |
| Thrive | Mid-market SaaS, full-service organic stack | Integrated SEO + GEO + AEO delivery | Accessible mid-market |
| SEO.co | Perplexity and Gemini citation building | Platform-specific LLM optimisation | Project or retainer |
| Fuel Online | Long-horizon AI visibility strategy | Predictive GEO opportunity mapping | Mid-to-premium |
| SaaStorm | B2B SaaS, LLMO tied to pipeline | Full-funnel LLMO and revenue attribution | SaaS-specific retainer |
Three questions to ask before you choose
Before shortlisting any agency, get clear on three things:
- What is your primary objective? Citation volume, lead generation, and brand authority require different agency models. Conflating them leads to misaligned briefs and disappointing results.
- What is your content maturity? Agencies like The Search Initiative and Impression Digital require an existing content foundation to optimise. If you are starting from near-zero, a content-production-led agency or a specialist like SaaSLinks.io that builds authority through outreach is a better starting point.
- What does your internal team own? Content-led agencies require significant internal involvement in strategy and approvals. Link-building and outreach-led specialists require less internal overhead but need a clear briefing on product positioning and target pages.
The wrong agency at the right budget is still the wrong choice. Fit matters more than brand recognition in this space.
The bottom line on LLM SEO in 2026
The agencies on this list are not simply repackaging old SEO services with new terminology. They are building genuine capability in a discipline that did not exist three years ago, and the gap between those doing it properly and those faking it is already measurable in client outcomes.
The broader market data makes the direction clear. AI search traffic is up 527% year-over-year. LLM-referred visitors convert at 4.4x the rate of standard organic visitors. The SEO services market is on track to reach $203.83 billion by 2030, driven largely by the shift toward AI-integrated search strategies. Companies that build citation authority now, while the landscape is still forming, will be significantly harder to displace as AI search matures.
The strategic window is narrowing. As more brands invest in GEO and AEO, the citation landscape will become more competitive. The agencies that understand how to earn AI citations through topical authority, structural content, and relevance-first link building are the ones worth engaging before that window closes.
For SaaS companies specifically, the clearest starting point is building the link authority and topical credibility that AI engines use to evaluate which sources deserve citation. That is the foundation everything else compounds on top of.
If you are a SaaS company evaluating your LLM SEO options, SaaSLinks.io is built specifically for this challenge. The methodology is designed for the SaaS buying context, the outreach targets the sites your buyers and AI engines both trust, and the programme is built to compound — not just deliver a monthly report.
