How to Hire a Generative Engine Optimization Agency

You're probably in the exact spot I see a lot of B2B SaaS teams hit. Your rankings look fine, your content is live, and yet when you ask ChatGPT or Google AI Overviews who the market should consider, a competitor shows up before you do. That's the moment most founders stop treating AI search like a curiosity and start looking for a generative engine optimization agency.

HubSpot's 2025 marketing statistics report says Perplexity processed 780 million search queries a month, up from 230 million in August 2024, and it also says AI-referred traffic rates increased by 600% since January 2025. The same source notes that 39% of consumers and over half of Gen Z are already using AI for product discovery, which is why brands now care about being cited inside answer engines, not just ranking in classic search results. A lot of SEO vendors still talk in keyword charts. That's too shallow for this job.

Why Brands Are Hiring Generative Engine Optimization Agencies Now

The first time I saw a founder do this in real time, it was simple and a little painful. He typed a high-intent question into ChatGPT, watched a competitor get recommended, then searched his own brand and found nothing useful in the answer. His site ranked well enough in Google, but the buyer decision was happening in an AI response he didn't control.

That's why GEO agencies exist now. Buyers are asking questions inside AI systems, and if your brand isn't cited there, you can lose visibility even while your traditional SEO still looks healthy. HubSpot's data on 780 million monthly Perplexity queries and the jump in AI-referred traffic rates by 600% since January 2025 make it obvious that this is no longer an experiment. It's a key discovery channel.

What changed for B2B teams

The old game was mostly about getting a page onto page one. The new game is about getting your brand included in the answer block, the summary, or the cited source set. That's a different workflow, because AI systems reward clarity, structured information, and visible authority signals.

Practical rule: if your current vendor still reports only rankings and organic traffic, they're not set up for GEO work.

A serious generative engine optimization agency should be thinking about prompt tracking, citation tracking, content gaps, and competitor intelligence. That's the work buyers pay for now.

What a Generative Engine Optimization Agency Actually Does

A real GEO agency helps a brand become visible inside AI answers. It studies the questions buyers ask, tests how different models respond, spots where competitors are being cited, then changes content and structure so the brand has a better shot at showing up. That's different from a traditional SEO shop that mostly optimizes for search engine result pages.

If I'm reviewing an agency, I want to see whether they can do four things well. First, they need prompt research. Second, they need AI citation tracking. Third, they need entity work, schema, and page structure. Fourth, they need to produce content that AI systems can quote cleanly.

The line between GEO and legacy SEO

Traditional SEO still matters, but GEO lives one layer higher in the buyer journey. A search ranking is useful, yet it doesn't tell you whether ChatGPT, Claude, Perplexity, or Google AI Overviews will mention your brand when someone asks a comparison or recommendation question. That's why I like agencies that talk in terms of brand mentions, citation presence, and share of voice inside AI systems.

If you want a clean way to separate the disciplines, use this SEO vs GEO comparison as a reference point. It helps you see which parts of the workflow belong in classic search, and which parts belong in answer engines.

My view: if an agency can't explain how they test prompts and track citations, they're probably reselling old SEO under a new label.

A solid GEO partner should also be able to explain why page structure matters, why comparison content matters, and why “more content” is usually the wrong instinct if the pages aren't built for extraction.

Core Services and Deliverables to Expect from a GEO Agency

The best proposals are concrete. They name the work, the artifacts, and the reporting cadence. When a GEO agency gets vague, it usually means they're still figuring out the process on your dime.

Here's the stack I expect to see in a serious proposal. The categories can vary, but the deliverables shouldn't be fuzzy. If they are, keep shopping.

The tactical side matters too. Agency guides commonly recommend Article, FAQPage, BreadcrumbList, Organization, Person, Product, and HowTo markup, plus short answer blocks under headings so AI systems can extract text cleanly. I like that approach because it gives models a clear way to validate who you are and what you do. The same logic applies to comparison tables and FAQ sections, which are often easier for models to quote than long, meandering prose.

If you want a practical checklist for content structure, this generative engine optimization best practices guide is a useful reference point. It's the kind of thing I'd want a vendor to know cold before they pitch me.

How to Evaluate and Hire the Right GEO Agency

I'd start with a short brief, not a giant RFP. Put your target prompts, your top competitors, your current AI visibility, and the engines you care about in one place. If the agency can't respond to that with a focused plan, they're not ready for client work.

Then push on process. Ask how they test hypotheses, how often they review prompts, and what they change when a competitor starts winning citations. Ask for a sample baseline report before you sign anything. If they dodge that request, I'd walk.

Questions I'd ask on the call

• Which AI engines do you track by default? I want a clear answer, not a vague “we cover AI search.”
• How do you separate prompt tracking from content production? Good agencies treat those as linked, but not identical.
• What does your reporting show? You want visibility, citations, and movement over time.
• How do you decide which content gets updated first? Prioritization tells you whether they think like operators.
• Can you show a baseline report for a real client? If they've done the work, they'll have something concrete.

One resource I sometimes point teams to when they need a broader visibility workflow is StartupSubmit submission service, especially when they're organizing launches, listings, and distribution work around a new content program. It's not a substitute for GEO, but it can sit inside the same go-to-market motion.

The red flags are easy to spot once you know what to look for. Vague KPI language is one. No access to AI analytics dashboards is another. I'd also be wary of agencies that make confident guarantees about being cited, because answer engines are dynamic and no honest operator can promise placement every time.

Ask them to show their work, not their adjectives.

If the proposal reads like a general SEO pitch with “AI” sprinkled on top, keep moving.

Sample KPIs and a Scorecard for Generative Engine Optimization Services

Most agency reporting still leans on metrics that don't tell you much about AI visibility. Organic traffic matters, and rankings matter, but they don't answer the question: are buyers seeing your brand inside AI answers when they ask for a recommendation?

Here's the scorecard I'd use instead.

A decent baseline report should show where you appear now, where competitors appear, and which prompts are missing you. From there, good growth in the first 90 days usually looks like broader prompt coverage, more citations on the questions that matter, and clearer content paths for the models to pull from. I'm deliberately not attaching a magic number to that, because the market is still too fragmented for fake precision.

The metric I ignore most often is “more content published.” That tells me almost nothing unless the agency can tie each page to a prompt cluster and an AI visibility goal. I also don't care much about generic impressions if the brand still doesn't appear in the answer set.

What a useful dashboard should show

• Target prompts tracked over time so you can see movement, not just snapshots.
• Citation presence by engine so you know where the brand is winning.
• Competitor overlap so you can see which brands are taking your place.
• Answer position and sentiment so you know whether you're mentioned as a leader, an option, or an afterthought.

If your vendor can't explain these metrics in plain English, they probably can't run the program well either. GEO reporting should be more like an operating dashboard and less like a traffic report.

Onboarding and Workflow Expectations in the First 90 Days

The first ninety days tell you whether the agency has a system or just a slide deck. Week one should feel like an audit, week four should feel like a plan, and month three should feel like the team is shipping changes with a purpose.

A healthy start usually begins with a baseline of current AI visibility. The agency should review the prompts that matter, identify which competitors are showing up, and build a shared prompt library so everyone is working from the same test set. If that library lives only in one strategist's head, the project will drift fast.

What the rhythm should look like

Week one and two are for review and structure. The agency should inspect your content, your entity signals, and the questions buyers ask. Week three and four are for agreement on KPIs, priority prompts, and content themes.

Month two should shift into production and testing. That usually means revised pages, new answer blocks, and close monitoring of whether the changes affect AI citations. If they're still “planning” at that point, they're behind.

Month three should feel like iteration. The agency should compare the baseline to the current state, flag what's moving, and explain what to do next. I like weekly reporting in this phase because it keeps the team honest and keeps the work tied to real outcomes.

If you want a clean internal process before the agency starts, the AI SEO audit framework is a solid way to prepare your site and your team for the first round of changes. It gives you a better starting point for the discussion.

Your GEO Agency Checklist and Next Steps with Surva.ai

Before you sign a contract, check five things. First, confirm which AI engines the agency tracks. Second, make sure you own the prompt library. Third, ask how they measure citations and share of voice. Fourth, get the reporting cadence in writing. Fifth, ask for a sample baseline report that matches your market.

If those pieces are missing, the engagement will probably turn into vague content work with a GEO label on it. I wouldn't buy that.

For teams that want a starting point before hiring, or a way to keep an agency honest after onboarding, Surva.ai tracks brand visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. It's useful for seeing where you're mentioned, where competitors win, and which prompts still leave you out of the answer.

If you're hiring a GEO agency, start by measuring your current AI visibility so you know what good looks like. Then use Surva.ai to track brand mentions, citations, and competitor gaps across the platforms buyers are using right now. That baseline will make every agency conversation sharper, and it'll keep you focused on the metric that matters most, whether AI recommends your brand or someone else's.