What Is a Generative Engine Optimization Agency and Do You Need One?

The first wave of GEO agencies are pitching clients right now. Some of them understand the discipline deeply. Some are SEO agencies that have renamed their services, added "AI visibility" to their deck, and are hoping the terminology holds up through a few sales calls.

Knowing the difference - and knowing whether you need an agency at all - requires understanding what generative engine optimisation actually is, what it takes to do it well, and where specialist expertise genuinely adds value versus where a capable in-house team can handle it.

This guide covers all of it.

What Generative Engine Optimisation Actually Is

Generative engine optimisation (GEO) is the practice of improving how often and how prominently a brand appears in AI-generated answers. When someone asks ChatGPT "what are the best tools for [category]?" or Perplexity "how does [your category] work?", GEO determines whether your brand is cited, recommended, or characterised accurately.

The mechanisms are distinct from traditional SEO, though they share some foundations. Where SEO optimises for Google's ranking algorithms through keywords, backlinks, and technical signals, GEO optimises for AI model behaviour through content clarity, structured data, third-party reference building, and positioning precision.

The full technical picture is covered in LLM SEO: The Complete Guide. For the agency question, what matters is understanding what GEO requires in practice.

What a GEO Agency Does (or Should Do)

A legitimate GEO agency provides some combination of the following:

AI visibility auditing. Systematically testing your brand's citation rates across major AI systems (ChatGPT, Perplexity, Claude, Gemini) for relevant query categories. This establishes the baseline and identifies where the gaps are.

Competitive benchmarking. Determining which competitors appear in AI answers for your target queries - with what prominence, in what context, and driven by what content. This turns raw visibility data into a competitive brief.

Content strategy for AI retrieval. Identifying which content types and formats perform best in AI citation (FAQ pages, comparison content, structured use-case pages) and developing a content plan that addresses the specific citation gaps identified.

Structured data implementation. Implementing schema markup - Organisation, Product, FAQ, HowTo schema - that helps AI systems accurately parse and characterise your content.

Third-party reference building. Developing and executing a programme to increase your brand's presence in the sources AI systems learn from: review platforms, editorial publications, forum communities, and analyst coverage.

Positioning clarity work. Auditing and improving how clearly your brand communicates its category, use case, and target customer - both on your own site and across third-party sources.

Tracking and reporting. Ongoing measurement of AI citation rates across models and queries, with trend data and competitive comparison.

Common Mistakes When Choosing a GEO Agency

Accepting a rebranded SEO agency without scrutiny

Many agencies are offering "AI SEO" or "GEO services" that are, in practice, SEO services with AI visibility measurements bolted on. The tell is in the deliverables: if the primary outputs are content, backlinks, and technical SEO, and AI visibility is measured at the end rather than driving the strategy from the start, you are buying SEO with a GEO label.

Ask specifically: how do you determine which content to create? If the answer is "keyword research" rather than "AI visibility gap analysis", you have your answer.

Hiring an agency before establishing your own baseline

Before paying an agency to tell you where your AI visibility gaps are, run the basic audit yourself. Open the four major AI systems and ask the ten most important questions in your category. Note where you appear and where you do not. This takes two hours.

If the agency's audit roughly matches what you found, you are buying execution capability - which is legitimate. If the agency's audit tells you something completely different from what you saw, investigate why before signing a contract.

Treating GEO as a one-time project

GEO is not a site redesign that you do once. AI model behaviour changes. Competitors make content changes. Your own product and positioning evolve. GEO visibility requires ongoing tracking and ongoing content investment. Agencies that pitch GEO as a "project" are not describing a sustainable programme.

Ignoring the measurement question

Ask any GEO agency this question before hiring them: how will you track whether your work is actually improving our AI citation rates? If the answer involves anything other than systematic, multi-model AI visibility tracking with historical trend data, be cautious. The inability to measure results is the most common failure mode in early-stage GEO agency relationships.

When Does a GEO Agency Actually Make Sense?

An agency adds genuine value when:

You lack the in-house skills for structured data implementation. Schema markup and technical content structuring require specific expertise. If your in-house team does not have it, an agency (or a specialist contractor) is faster than building the skill internally.

You need content production at scale. If you have 30 identified content gaps and a two-person content team, an agency can accelerate production. The critical requirement: the agency needs to understand how to write for AI retrieval, not just for SEO.

You need the competitive and market intelligence. A good GEO agency has run similar programmes for multiple clients and has pattern recognition about what works in your category. They can tell you which competitors are winning the AI citation game and what they are doing differently, without you having to build that analysis from scratch.

You do not have bandwidth for the tracking programme. Systematic AI visibility tracking across multiple models, managed consistently over months, is a real operational commitment. An agency handles this as part of their delivery.

You are entering a new market. If you are launching into a new category or geography, an agency can accelerate the third-party reference building and structured content development that establishes AI visibility before competitors entrench.

When to Keep It In-House

GEO is manageable in-house for most B2B SaaS teams with a capable content function when:

• Your content team has the bandwidth to develop GEO-structured content alongside existing SEO work
• You can commit someone to managing the tracking programme (or use a tool like Bingly that automates it)
• Your positioning and messaging are already clear and consistent
• You are in a category where the GEO competitive landscape is not yet crowded

The main things you need in-house: a clear query set, a tracking tool, and a content function that can act on the gaps identified. See Getting Started with Bingly for how to set up the tracking piece.

A Framework for the Decision

Use an agency if: You need to move fast, have significant content production requirements, or lack in-house skills for technical implementation.

Keep it in-house if: You have a capable content team, are willing to invest in the right tooling, and have a six-plus month timeline to build the programme systematically.

Consider a hybrid: Hire an agency for the initial audit, competitive analysis, and strategic framework. Then execute in-house with the agency's deliverables as your roadmap. This gets you the expertise without the ongoing agency fee.

Whatever you decide, the non-negotiable is measurement. Any GEO programme - agency-run or in-house - needs systematic AI visibility tracking to produce results rather than activity.

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