Top AI SEO Agencies for B2B SaaS Companies in 2026 (GEO + AEO)

Here is the situation your buyers are in right now:

They open ChatGPT and type something like “best video infrastructure platform for developer teams” or “what is the top CRM for real estate investors.” They get a confident, organized answer.

After a few follow-ups, they come up with a shortlist. Then, maybe two days later, they land on your website, book a demo, and tell your sales rep they “heard about you from a friend.”

That friend was ChatGPT.

The companies showing up in those AI answers did not get there by accident. And the companies absent from those answers are losing deals they never knew they were in.

By 2026, 44% of B2B SaaS brands score below 50 out of 100 on AI Presence across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, according to DerivateX’s 2026 B2B SaaS AI Visibility Report. 

Superprompt’s 2025 AI Search Traffic report suggests that AI-referred visitors convert at 14.2%, compared to 2.8% for Google organic traffic. The discovery channel has shifted. The measurement stack has not caught up. And the agency category claiming to fix this problem is, by and large, not equipped to do it.

This guide cuts through the noise. It gives you a verified shortlist of agencies that can actually move AI visibility, a framework to evaluate any agency before you sign, and the honest answer about what it takes to connect AI citations to revenue.

If you are in active evaluation mode, jump to the five questions in the evaluation section before reading the agency profiles; they will change what you look for in each entry. 

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Only 12% of #1 Google Rankings Get Cited in ChatGPT. Most “GEO agencies” Cannot Explain Why.

This is the fact that reframes everything about how you should evaluate an AI SEO agency.

Strong backlink profiles and keyword-optimized pages do not automatically translate into AI citations. The two systems run on fundamentally different architectures.

Google ranks pages. LLMs cite claims.

When a buyer asks ChatGPT “what is the best video hosting platform for SaaS companies,” the model is not scanning a ranked list of URLs. It is pulling discrete, extractable claims from its training data and real-time retrieval layer and assembling them into a coherent answer.

Pages that are well-structured for human reading are not necessarily well-structured for machine extraction. Pages with high domain authority are not entities that the model has strong associations for. A brand that ranks #1 on Google for “best video hosting platform” can still be completely absent from ChatGPT’s answer to the exact same query.

This distinction, between content quality and entity weight in AI training data, is what separates agencies that understand LLM citation mechanics from agencies that applied the word “GEO” to their traditional content program.

A sentiment that circulated widely in B2B marketing communities captures it accurately: most agencies claiming GEO capability added the label to their service page without changing their methodology. That is not cynicism. It is an accurate description of the current market. Which brings us to the framework you should use before you hire anyone.

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The Citation Maturity Stack: 4 Levels That Separate Real GEO Agencies From GEO-branded Ones

The Citation Maturity Stack is a framework DerivateX developed to classify agency GEO and AEO capability based on what they can actually prove across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, not what they claim. 

It runs from Level 1 (claims capability) to Level 4 (attributes citations to pipeline). Every agency on every shortlist you build can be evaluated against this model in a single 15-minute call.

Book a free AI Visibility Audit with DerivateX and we will run your current agency or shortlist through this framework before the call.

Level	Label	What it Means
1	Claimed	The agency lists GEO/AEO on the service page. No methodology, no case studies showing AI-specific results.
2	Explained	The agency describes a GEO methodology in specific terms. No verified client citations available on request.
3	Demonstrated	The agency shows live citations in ChatGPT or Perplexity for a client. Cannot connect citations to revenue.
4	Attributed	Agency shows citations AND traces a direct line to demo bookings, pipeline, or closed revenue.

The difference between Level 3 and Level 4 is the difference between an agency showing you a dashboard and an agency showing you a deal.

Level 1 and Level 2: What Claimed and Explained GEO Looks Like in Practice

A Level 1 agency is easy to spot. They use the words “GEO,” “AEO,” “LLM SEO,” and “AI search optimization” in their services section.

Their case studies, if they have any, show traffic or ranking results with no mention of AI citations. When you ask them in a call what LLM-specific work they did last month for a client, the answer is either vague or defaults to content production.

Level 2 agencies are more sophisticated but still unverified. They can explain the concept of entity optimization, structured content, and citation surface mapping. They have a genuine framework.

When you ask to see a live citation for a current client in your category, they will either offer a generic example, show you a branded query result (which proves nothing), or tell you attribution is still “in development.” Some Level 2 agencies are serious teams building real capability. They are not there yet.

The majority of agencies you will encounter during your shortlisting process are Level 1 or Level 2. This is not a criticism of their SEO capability. It is an accurate assessment of where most of the market currently sits in a category that barely existed in its current form 18 months ago.

Level 3 and Level 4: What Demonstrated and Attributed GEO Looks Like, With Real Examples

A Level 3 agency can show you a specific prompt, a specific AI tool, and a specific client citation. Not a branded query, or “our content ranks well, which contributes to AI visibility.” A non-branded purchase evaluation query, like “best CRM for real estate investors” or “best video hosting platforms for SaaS companies,” with their client cited in the response.

Level 3 is a high bar that most agencies cannot clear. It separates the agencies doing real GEO work from those running a repackaged content program.

Level 4 agencies do everything Level 3 agencies do, and then connect the citation to revenue. They have the attribution infrastructure to identify that users who first encountered the brand through ChatGPT or Perplexity converted at a measurably higher rate, or that a specific wave of demo bookings traced back to a period of increased AI citation frequency.

Gumlet, a managed video hosting platform, after an eight-month engagement with DerivateX, went from absent in ChatGPT answers to having ChatGPT sessions grow 137.9% month-over-month. 

The team also built an attribution model using Mixpanel and Google Analytics that tracked the full AI discovery funnel: AI mention → branded Google search → website visit → demo signup. 20% of Gumlet’s inbound revenue now traces back to that chain. The citation was not the outcome. The pipeline was. That is Level 4.

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The 8 best AI SEO agencies for B2B SaaS in 2026, evaluated by Citation Maturity level

Every agency below is labeled with its Citation Maturity level based on publicly available case studies, documented methodology, and verifiable client outcomes. The list is not exhaustive. There are agencies doing serious work in this category that are not included because their results were not independently verifiable at the time of writing.

1. DerivateX (Citation Maturity: Level 4)

DerivateX is a B2B SaaS SEO and GEO agency that engineers citations in ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews using its proprietary Citation Engineering methodology, connecting AI visibility to demo bookings and pipeline. 

The methodology runs on two simultaneous tracks: building parametric entity weight (what the model already “knows” about your brand from training data) and RAG extractability (how cleanly your content chunks during retrieval). Both matter because 60% of ChatGPT queries are answered from training memory without triggering retrieval at all. Engagements run in 90-day sprints with a full AI footprint audit, competitor citation gap analysis, and bi-weekly reports mapping citation growth to demo activity.

For a deeper breakdown of how this works mechanically, see our complete LLM SEO guide.

Proven results:

• Gumlet (video infrastructure SaaS): 20% of inbound revenue attributed to ChatGPT and Perplexity, with ChatGPT sessions growing 137.9% and Perplexity sessions growing 110.4% during the engagement.
• REsimpli (real estate CRM): #1 cited CRM for real estate investors in ChatGPT across 10+ high-intent prompts in the U.S., within 90 days, alongside #1 Google rankings for core CRM terms.
• Verito (cloud hosting for accounting firms): 159% more organic clicks, 196% more impressions, 12 ChatGPT #1 rankings, and a 73% top-3 ChatGPT ranking rate across tracked prompts over 10 months.

Want to know more? Read DerivateX’s case studies.

Pricing:

DerivateX’s SEO fundamentals plus AI citation foundation starts at $3,500/month, while the Full-stack SEO plus active AI citation building starts at $5,500/month. For enterprise and specific niche requirements, pricing is scoped to company stage and growth objectives.

Why it is Level 4:

DerivateX is the only agency on this list that publishes revenue attribution from AI citations rather than citation counts. Each case study includes before-and-after prompt audit evidence, with pipeline impact tracked through Mixpanel and Google Analytics.

Best for:

B2B SaaS companies at $5M to $50M ARR that need AI citations attributed to pipeline, not visibility metrics alone.

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2. Omnius (Citation Maturity: Level 3)

Omnius is a specialized AI SEO agency that works exclusively with B2B SaaS and Fintech companies. They developed AtomicAGI, a proprietary platform that tracks brand citations across ChatGPT, Perplexity, Claude, and Gemini in real-time, which puts them ahead of most competitors still running manual prompt tests on a quarterly schedule.

Their documented results are among the most concrete in the category: for AuthoredUp, they delivered 110% organic growth and a 64% conversion uplift within six months. For Text Cortex AI, they grew organic sessions to 2.73 million clicks in 13 months.

Their public case studies stop at traffic and conversion metrics rather than revenue pipeline attribution, which holds them at Level 3. Omnius is the right choice if you want measurement infrastructure and a team with serious technical GEO execution in the SaaS and Fintech vertical.

They are not the right choice if your primary goal is understanding how AI citations are contributing to your demo pipeline by the end of Q2.

Pricing:

Omnius’s pricing is not publicly disclosed and requires consultation to land on a plan based on the client’s requirement.

Best for:

B2B SaaS and Fintech companies at growth or scale stage that want systematic citation tracking infrastructure built alongside execution.

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3. Omniscient Digital (Citation Maturity: Level 3)

Omniscient Digital was founded by three former HubSpot leaders and has built one of the strongest content architecture and entity optimization practices in the U.S. market.

Their client roster (Asana, Adobe, Loom, Hotjar) reflects a consistent focus on established software companies with real content budgets and multi-year growth ambitions.

Their GEO practice sits inside a broader organic growth methodology rather than standing as the primary engagement driver. This is a strength if you need a full-funnel content architecture built for both Google and AI citation simultaneously.

It is a limitation if you want GEO as the primary deliverable from day one. Omniscient does not publish its pricing, similar to many other agencies mentioned on this list, which hinders in building immediate trust among those actively looking for AI SEO services.

Pricing:

Omniscient Digital has not publicly disclosed its pricing on its website. That said, publicly available information by reviewers and clients state the starting scope to be in the $10,000 to $15,000/month range for B2B SaaS engagements.

Best for:

Mid-market to enterprise B2B SaaS companies at $20M+ ARR where the primary gap is content architecture and entity clarity, not pipeline attribution from AI.

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4. Grow and Convert (Citation Maturity: Level 3)

Grow and Convert pioneered Pain Point SEO in 2017 and has extended the methodology into Pain Point GEO for AI search.

All content is interview-based, written from conversations with client subject matter experts rather than keyword research alone. This approach produces more citable content than standard AI-assisted production because it generates first-person expertise that LLMs weigh heavily.

They include access to Traqer.ai, a dedicated AI visibility tracking platform, at no extra cost, which makes their measurement setup more accessible than most agencies at this price point. 

Their boutique model limits each strategist to 2 to 4 accounts, producing roughly 3 articles monthly per client. The limitation is capacity. If you need to move quickly across a broad citation surface, this is not the right fit. If you want the highest-quality content in the category measured against pipeline outcomes, it is.

Pricing:

Grow and Convert does not publish its pricing publicly. That said, based on publicly available information, Grow and Convert is said to charge $9,000/month for year one, then $10,000/month; month-to-month. No 6 or 12-month contract is required after the first year.

Best for:

Mid-market B2B SaaS companies with a $9,000/month budget that want organic content and AI visibility tied to bottom-funnel conversion, measured by signups and leads rather than pageviews.

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5. Directive Consulting (Citation Maturity: Level 2 to 3)

Directive Consulting is the largest independent performance marketing agency built specifically for B2B tech, with over 200 employees and 420+ brands served.

Their Customer Generation methodology ties marketing activity to LTV:CAC (Lifetime Value-to-Cost of Acquiring ratio) financial modeling rather than MQL counts, which is the right framing for a growth-stage SaaS company presenting to a board.

GEO is a service layer within a broader demand generation program at Directive, not the primary offering. They report AI visibility via Semrush’s AI Visibility Index, which tracks citation share rather than specific revenue attribution to pipeline.

This is a sophisticated measurement approach that stops short of the Level 4 standard. Directive appears in ChatGPT’s recommended agency list for this query, which is itself evidence of strong brand presence in LLM training data and worth acknowledging.

Pricing:

Directive Consulting’s pricing is not publicly disclosed. That said, publicly available information based on third-party websites point to $6,500/month as the starting price point, month-to-month. Enterprise scope priced separately.

Best for:

Mid-market to enterprise B2B SaaS companies that need SEO, paid media, and GEO integrated into a single revenue operations framework.

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6. Flying Cat (Citation Maturity: Level 2 to 3)

Flying Cat is a B2B SaaS SEO and GEO consultancy that ties search and AI visibility to pipeline from the start of every engagement, including revenue-aligned reporting and quarterly business reviews that map organic and LLM performance to commercial outcomes.

Their methodology covers international SEO in French, German, Italian, and Spanish markets alongside English, which is rare in the pure-play GEO space. They also run content decay prevention programs, regularly refreshing existing pages to maintain extractability as LLM citation patterns shift.

Their published case studies document genuine pipeline outcomes from organic SEO work: Mixmax saw a 500% increase in blog-assisted demo requests in 10 months, and Softr recorded 227% MRR growth in 6 months.

These results establish Flying Cat as a credible SEO-to-pipeline agency with a documented track record. Their case studies reflect organic search attribution rather than LLM citation-specific attribution, which holds them at Level 2 to 3 on the Citation Maturity Stack specifically for GEO.

Strong fit for European SaaS markets where most US-headquartered agencies have limited presence.

Pricing:

Flying Cat does not have published pricing information and requires a consultation to land on a pricing model based on the client’s requirements.

Best for:

B2B SaaS companies with multilingual needs or international growth programs that want GEO and LLM visibility as a named, trackable deliverable.

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7. First Page Sage (Citation Maturity: Level 2)

First Page Sage launched the first named GEO service in May 2023 and publishes quarterly proprietary data studies covering AI recommendation algorithms, acquisition cost benchmarks by channel, and LLM citation frequency patterns across industries.

The research is independently useful: their published data on AI-channel conversion rates and citation share trends is cited regularly across B2B marketing publications, which itself signals the kind of third-party authority that LLMs weigh. Their client roster (Salesforce, Nerdwallet) confirms enterprise-scale credibility.

The limitation is that the service model delivers strategy, thought leadership frameworks, and recommendations rather than execution. The actual content production and citation engineering work requires an internal team to implement.

First Page Sage is the right fit for large organizations with an existing content function that need a structured GEO strategy and external research validation. If you do not have that team, the strategy deliverables will sit unused.

Pricing:

Similar to many other agencies on this list, First Page Sage’s pricing is not publicly disclosed and requires a consultation to receive an estimate

Best for:

Enterprise SaaS and established B2B software companies with an internal content team that need a GEO-forward strategy and thought leadership content architecture.

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8. Skale (Citation Maturity: Level 2 to 3)

Skale offers Generative Engine Optimization and AI Citation Outreach as dedicated services, not labels applied to existing SEO work.

Their published case studies include both pipeline-level SEO outcomes and an explicit AI search result: a DeFi client became a recognized AI authority for Hyperliquid-related queries within 90 days. For Meridian, an early-stage private equity SaaS competing against DealCloud and Salesforce, Skale doubled demo requests and expanded search visibility more than 6x through a combined AI Search and SEO program.

Other documented results include Maze (283% increase in monthly organic signups in 6 months) and Perkbox (£110 cost per opportunity in 10 months).

The AI authority case is in crypto rather than B2B SaaS, which limits direct comparability for most readers here. Revenue attribution from LLM citations specifically is not yet documented in their published material, which holds them at Level 2 to 3.

Pricing:

Skale’s pricing is not publicly disclosed and requires a consultation with Skale’s sales team for a quotation based on the client’s requirements.

Best for:

High-growth B2B SaaS companies in cybersecurity, HR tech, martech, and fintech that need SEO and AI search treated as a single integrated program rather than separate workstreams.

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Also Considered

The following agencies are frequently cited in 2026 AI SEO listicles but did not make the top 8 for B2B SaaS specifically. They are worth knowing about for context.

• iPullRank (Citation Maturity: Level 2 to 3). Founded by Mike King, named AI Search Marketer of the Year by Search Engine Land in 2024 and 2025. Their 20-chapter AI Search Manual is one of the most-cited public resources in the category. Best for Fortune 500 enterprises with complex technical environments, not for growth-stage B2B SaaS.
• Animalz (Citation Maturity: Level 2). A content marketing agency that has extended into AEO. Strong fit if you want thought leadership content and executive ghostwriting. They are not a pure AI search agency, which is why they fall short of Level 3.
• MADX Digital (Citation Maturity: Level 2 to 3). London-based, focused on SaaS, with documented traffic growth case studies for MoonPay, Postalytics, and Parcel Tracker. Limited public documentation of citation-specific outcomes.
• Optimist (Citation Maturity: Level 3). Founded by Tyler Hakes. Published the CORE Framework for integrated AEO and SEO. Client list includes Semrush and ZoomInfo. Their published pipeline metrics are strong but predominantly from SEO-era engagements rather than LLM-citation-specific work.

Quick Pricing Reference Across all 8 AI SEO Agencies

Agency	Approx. Starting Price	Published?
DerivateX	$3,500/month	Yes (On DerivateX’s pricing page)
Omnius	On consultation	Not published
Omniscient Digital	~$10,000–$15,000/month	Approximate (reviewer reports)
Grow and Convert	~$9,000/month (year one)	Approximate (publicly reported)
Directive Consulting	~$6,500/month	Approximate (third-party sources)
Flying Cat	On consultation	Not published
First Page Sage	On consultation	Not published
Skale	On consultation	Not published

Ranges marked “approximate” are based on publicly reported figures and may not reflect current pricing. Contact each agency directly for confirmed scope.

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5 Questions That Separate Level 4 Agencies From Everyone Else (and What a Real Answer Looks Like)

ChatGPT’s response to this query ends with a list of five questions to ask any agency before hiring. That is useful. What it does not tell you is what a credible answer looks like versus a non-answer dressed in confident language. Here is both.

Question 1: “Show me a specific, non-branded query where you got a client cited in ChatGPT or Perplexity.”

A credible answer produces a specific query string, a screenshot or screen recording of the result, and a date. The query should be a purchase evaluation prompt, not a branded search. “Best CRM for real estate investors” is a real test. “What is REsimpli” is not.

A non-answer sounds like: “We have a proprietary system that tracks AI visibility across platforms.” Or: “Our clients see consistent improvements in LLM mentions.” Any answer that does not produce the specific query and screenshot on the spot is a non-answer.

DerivateX’s answer to this question for B2B SaaS clients: ‘Best CRM for real estate investors’ → REsimpli cited in ChatGPT at position one across 10+ prompts. ‘Best video hosting platform for SaaS companies’ → Gumlet cited in ChatGPT and Perplexity after eight months. Both results are documented in the [case studies](https://derivatex.agency/case-studies/). 

Question 2: “Can you connect that citation to a demo, trial, or pipeline event?”

A credible answer walks through an attribution model. For example: AI tool session → branded Google search → website visit → CRM entry. Even a partial model is acceptable if the agency is transparent about where the chain breaks and how they are working to close it.

A non-answer sounds like: “Our clients see improved AI visibility which contributes to overall brand awareness and inbound.” Any answer that does not attempt to describe a path from citation to commercial activity is a non-answer.

DerivateX’s answer: Gumlet’s attribution model traces AI tool session → branded Google search → website visit → demo signup via Mixpanel and Google Analytics. 20% of inbound revenue now traces back to that chain.

Question 3: “What is your citation methodology specific to our product category?”

A credible answer names the specific query patterns in your category. For example: “For a video hosting platform, we would focus on ‘best Vimeo alternatives,’ ‘video hosting for SaaS companies,’ and ‘private video hosting for developers’ as the core citation surface. For each of those prompts, here is what the current citation landscape looks like and where your gaps are.”

A non-answer sounds like: “We optimize your content for AI search using proven GEO principles.” Any answer that is category-agnostic is a sign the agency has not yet done this work in your space.

Question 4: “Who will run my account, and how many clients are they managing?”

A credible answer names a specific person, gives a client count, and describes the senior-level involvement in strategy. Boutique GEO engagements require experienced judgment. There is no proven playbook you can hand to someone with 6 months of experience and expect results.

A non-answer sounds like: “You will work with our senior team.” Any answer that does not name a person or provide a workload number should be followed up immediately.

Question 5: “What does your AI visibility tracking show, and how does it map to my KPIs?”

A credible answer demonstrates a live tool, gives the list of specific queries tracked monthly, and describes how citation frequency maps to metrics your board cares about. AtomicAGI, Traqer, or a proprietary prompt tracking system are all acceptable. A verbal description of what they plan to track is not.

If an agency cannot answer questions 1 and 2 with specificity, the other three answers do not matter. Start there.

One way to pre-qualify this before a call: check whether the agency publishes prompt tracking data publicly. An agency willing to publish its measurement methodology is demonstrating the same standard it applies to client work.

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Which AI SEO Agency Fits Which ARR Stage?

Not every agency on this list is built for every stage. Here is the honest breakdown.

ARR Stage	Best Match	Why
$1M to $5M	DerivateX	Sprint model, direct founder access, no enterprise overhead. Minimum project size accessible. Can produce citation movement in 90 days.
$5M to $20M	DerivateX, Omnius, Grow and Convert	Deep GEO specialization with pipeline measurement. Budget accessible. The engagement model scales with growth velocity.
$20M to $50M	DerivateX, Omniscient Digital, Directive	Full-funnel systems in play. Content architecture, entity work, and RevOps integration are all required.
$50M+	Omniscient Digital, Directive, First Page Sage	Enterprise scale, internal team to implement strategy, multi-channel integration needed.

The most common mistake at the $5M to $20M stage is hiring an enterprise-scale agency because the brand recognition feels reassuring, then spending six months onboarding.

The agencies that move fastest at this stage are the ones with senior execution at accessible retainer sizes, not the ones with the most impressive logos in the pitch deck.

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Frequently asked questions

1. What is Citation Engineering and how is it different from regular GEO?

Citation Engineering is DerivateX’s proprietary methodology for systematically building AI citations across ChatGPT, Perplexity, Claude, and Gemini. Standard GEO focuses on structuring content for AI extractability through schema markup, definition-forward formatting, and FAQ sections.

Citation Engineering adds two components that standard GEO misses: building parametric entity weight (the strength of your brand’s associations in the model’s training memory) and RAG extractability (how cleanly your content chunks during real-time retrieval). Both tracks require different interventions and must run simultaneously because 60% of ChatGPT queries are answered from training memory without retrieval at all.

2. How long does it take to get cited in ChatGPT after hiring a GEO agency?

For brands with an existing content foundation, meaningful citation movement in non-branded queries typically appears within 60 to 90 days. REsimpli reached the #1 ChatGPT citation for real estate CRM queries within 90 days. Revenue attribution from those citations takes longer, typically three to six months, because it requires building the Mixpanel or GA4 tracking model alongside the citation work. Agencies promising citation results in under 30 days are either targeting branded queries, which require no effort, or are overstating the timeline.

3. What does it cost to hire a B2B SaaS AI SEO agency in 2026?

The range is wide because “AI SEO agency” describes both boutique specialists and full-service enterprises. Boutique GEO-focused agencies in this category typically start at $3,500 to $9,000 per month, depending on scope and client stage. Mid-market specialists like Grow and Convert and Omnius run $9,000 to $15,000 per month.

Full-service performance marketing agencies like Directive start at $6,500 for a startup package and scale from there. Enterprise-oriented firms like Omniscient Digital and First Page Sage quote custom scope at $15,000 and above. Pricing under $3,000/month for a full GEO program typically reflects offshore junior execution or a traditional SEO retainer with GEO in the name.

4. Can a B2B SaaS company do GEO without hiring an agency?

A technically strong in-house team can execute Level 2 and partial Level 3 GEO independently. Entity optimization, structured content, schema markup, and FAQ formatting are learnable without outside help. The gap is usually in two places: real-time prompt tracking infrastructure (tools like Traqer or AtomicAGI are necessary) and execution velocity. 

Our LLM SEO checklist walks through the implementation steps in order.

Building a citation surface across 40 to 60 high-intent buyer prompts while maintaining existing SEO and content output is a significant resource ask. Most companies at $5M to $20M ARR do not have the internal capacity to do this at the required speed without it crowding out everything else.

5. How do I know if my SaaS brand is already being cited in ChatGPT or Perplexity?

The fastest test: open ChatGPT and ask the five questions your buyers would realistically ask when evaluating a tool in your category. For example, if you sell project management software, test: ‘What is the best project management tool for remote engineering teams?’ and ‘Best Asana alternative for startups.’ If you sell marketing analytics, test: ‘What analytics platform do growth teams use alongside HubSpot?’ Neither of those is a branded query, and neither is easy to game.

Non-branded questions only. If your brand does not appear in at least two of those five answers across ChatGPT, Perplexity, and Google AI Overviews, your AI citation surface is below the threshold where AI discovery is reliably contributing to inbound. 

DerivateX’s free AI Visibility Checker runs a simplified version of this test across multiple LLMs and returns an AI Visibility Score (AVS) between 0 and 100.

6. What is the difference between AEO, GEO, AI SEO, and LLM SEO?

These terms are largely interchangeable in the market, though with subtle distinctions.

Answer Engine Optimization (AEO) is the older term, originally focused on voice search and answer boxes, now extended to AI-generated answers and Google AI Overviews. 

Generative Engine Optimization (GEO) specifically covers optimization for visibility in responses from generative AI tools like ChatGPT, Perplexity, Claude, and Gemini. 

AI SEO is the umbrella term most B2B SaaS marketing teams use when budgeting for the category. 

LLM SEO is the most technically specific term, covering the inference-time mechanics of how language models select and attribute content, including entity weight, RAG extractability, and signals from sources like llms.txt files, schema, and knowledge graph entries on Wikidata.

In practice, if an agency uses any of these terms with methodological specificity rather than as marketing labels, they are describing substantially the same capability. The term matters less than what they can prove.

7. Why does my SaaS company rank #1 on Google but not appear in ChatGPT results?

Google ranks pages by relevance signals: backlinks, keyword matching, domain authority, page speed, and user behavior. LLMs cite claims by entity weight and structural extractability. A page can carry 500 backlinks and rank #1 on Google while being an entity with almost no weight in the model’s training data or being absent from Google AI Overviews entirely.

The entity has to exist in training memory for the model to include it in non-retrieval responses, and it has to be formatted for extraction to appear in RAG-triggered responses. Neither condition is guaranteed by good Google SEO. Gumlet’s situation is the clearest documented example: strong Google performance, total absence in ChatGPT, fixed through entity and extraction work over eight months.

8. Do GEO agencies optimize for Google AI Overviews and AI Mode too?

A real one does. Google AI Overviews and AI Mode use a separate retrieval system from traditional Google organic results. Top-ranking organic pages are not automatically pulled into AI Overviews. The retrieval system extracts individual passages, scores them for citation worthiness, and decides whether to include them based on entity clarity, third-party validation, and structural extractability.

An agency working only on traditional SEO will not move the needle on AI Overviews. An agency working on GEO for ChatGPT and Perplexity but ignoring AI Overviews is leaving the highest-volume AI surface uncovered. The agencies on this list at Level 3 and Level 4 track citation share across at least ChatGPT, Perplexity, and Google AI Overviews. If an agency only reports on one engine, that is a signal their measurement stack is incomplete.

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The Standard for Evaluating a GEO Agency Has to Change. Here is What the New Standard Looks Like.

The SEO agency evaluation criteria that worked in 2022, looking for strong case studies, recognizable client logos, and solid keyword ranking methodology, is necessary but no longer sufficient.

The additional questions for 2026 are straightforward: Can they show you a non-branded citation in a live AI tool for a client in your category? Can they connect that citation to a commercial event? Can they track 40 to 60 buyer-intent prompts monthly and report on what changed?

If the answer to any of those three questions is “not yet,” you are looking at a Level 1 or Level 2 agency. That may still be the right choice at certain company stages or budget levels, and there is no shame in hiring a Level 2 agency if you understand what you are buying. The mistake is hiring a Level 1 agency at a Level 4 price because the pitch was compelling.

The window to establish category dominance in AI search is not infinite. The first SaaS company in a given category to build strong parametric entity weight and consistent citation frequency across buyer-intent prompts creates a compounding position that becomes increasingly difficult for competitors to displace. Buyers who form their shortlists through ChatGPT do not go back and research the same category query twice in detail. The first answer they get, the first three brands they see, shapes their evaluation. Being in that answer is not a branding play. It is a pipeline play.

DerivateX works with B2B SaaS companies between $5M–$50M ARR where AI citation share is a strategic priority. If your buyers are already asking ChatGPT, Perplexity, or Google AI Overviews questions in your category, the fastest next step is to run your brand through the AI Visibility Score checker, which runs a simplified prompt audit across multiple LLMs and returns a score between 0 and 100. 

Most B2B SaaS companies who test it find their score is lower than expected, which tends to make the follow-up conversation more productive. From there, you can book a free AI Visibility Audit for a deeper look at where the gaps are.