10 Questions to Ask an AEO Agency Before You Sign
The AEO market in 2026 has a serious pretender problem.
Traditional SEO agencies are rebranding overnight. New logos, new landing pages, same playbooks. For buyers trying to hire a genuine AI visibility partner, the noise is deafening — and the cost of choosing wrong is real budget burned while competitors quietly build the citation authority that will define AI search for the next decade.
The most reliable filter: ask for a live demonstration of a client being cited in ChatGPT, Perplexity, or Google AI Overviews right now. Not a screenshot. Not a case study PDF. A live query. That one request will cut your shortlist in half.
The ten questions below give you a complete vetting framework — covering methodology, measurement, off-site signals, deliverables, and the red flags that separate genuine practitioners from agencies that learned the acronym last quarter.
Why Vetting an AEO Agency Is Harder Than It Looks
The shift from blue-link search to AI-generated answers is one of the most consequential changes in digital marketing in a decade. Platforms like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews now answer buyer questions directly. No list of results. No clicking around. Just an answer. For brands, this means that if an AI doesn't cite you, you effectively don't exist for a growing share of high-intent queries.
The problem is that the market has moved faster than the talent pool. A 2026 enterprise buyer evaluation by Onely noted that practitioners widely agree: "Most agencies claiming to do GEO are just rebranding traditional SEO with AI buzzwords." The same pattern holds in AEO. Most agencies can implement schema markup and restructure a few pages. Far fewer understand how large language models evaluate source authority, why Perplexity cites different pages than ChatGPT for the same query, or how to build the off-site citation signals that actually move the needle.
The ten questions below are designed to cut through that noise quickly.
1. Can You Show Me Specific Queries Where a Current Client Appears in AI Answers?
This is the single most powerful vetting question available. Ask the agency to open ChatGPT, Perplexity, or Google AI Overviews right now and show you a query where a client brand is cited. Not a screenshot from three months ago. A live demonstration.
Genuine AEO practitioners can do this without hesitation. Agencies that respond with keyword rankings, traffic graphs, or vague references to "AI-ready content" without citation-level specifics are almost certainly repackaging traditional SEO services.
The bar is simple: if they can't show citations, they can't deliver citations.
What a good answer looks like:
- They open a platform on the spot and run a query
- They can name the specific content changes that earned that citation
- They can show more than one client across more than one platform
2. Which AI Platforms Do You Optimise For, and How Does Your Approach Differ Across Each?
Not all AI platforms behave the same way. ChatGPT, Perplexity, Google AI Overviews, Claude, and Grok each use different retrieval mechanisms, weight different authority signals, and respond to different content structures.
- Perplexity places particular emphasis on citation practices and factual accuracy verification
- Google AI Overviews are heavily influenced by existing organic search authority
- ChatGPT's browsing behaviour responds differently to structured data than Perplexity's RAG-based retrieval
- Claude and Grok are growing in relevance, particularly for technology and finance audiences
Industry research consistently identifies ChatGPT, Google AI Overviews, and Perplexity as the three highest-priority platforms for B2B discovery traffic. If an agency treats all five as identical, their methodology is too shallow to produce meaningful results.
Ask them to explain the differences unprompted. A credible agency won't need to think about it.
3. How Do You Measure AEO Success, and What Does Your Reporting Look Like?
This question immediately separates genuine AEO practitioners from agencies running traditional SEO with a new label. If the monthly report they show you consists entirely of keyword rankings, organic traffic, and backlink counts, they have not built an AEO measurement infrastructure.
Real AEO reporting tracks:
- Citation frequency — how often your brand appears in AI answers
- Citation quality — whether those appearances happen for high-intent, decision-stage queries
- Share of voice — your brand's presence in AI answers relative to competitors
- Prompt-level visibility — which specific queries trigger your citations
- Business impact — whether AI-driven traffic converts to pipeline
Growth-stage companies typically invest $5,000 to $20,000 per month for comprehensive AEO services. The reporting framework needs to justify that investment with commercial metrics, not vanity numbers.
Red flag: Any agency whose sample report looks identical to a standard SEO dashboard is telling you exactly what they are actually doing.
4. How Do You Handle Off-Site Signals Like Third-Party Mentions, Reviews, and Digital PR?
AI search engines do not only pull from your website. They draw from the entire web — G2 reviews, Reddit discussions, Wikipedia entries, Capterra listings, industry publications, and digital PR placements. An agency focused exclusively on your own domain is optimising a small fraction of what AI platforms actually reference when generating answers.
Credible AEO agencies actively manage third-party platform presence as a core service, not an afterthought. That includes:
- Structured management of review platforms (G2, Capterra, Trustpilot)
- Targeted outreach to publications that AI models already cite
- Building brand mentions across authoritative external sources that signal trustworthiness to large language models
If an agency's entire scope of work is limited to your own domain, push back hard on that gap. The off-site signal layer is where a significant portion of AI citation authority is actually built.
5. Can You Explain How Retrieval-Augmented Generation Affects Your Content Strategy?
Retrieval-Augmented Generation (RAG) is the technical mechanism by which most AI platforms retrieve and synthesise information from the web before generating a response. Understanding RAG is foundational to effective AEO — it explains why certain content formats get cited, why answer-first structure matters, and why content that buries the key point in paragraph four rarely gets pulled into AI responses.
Ask any agency you are vetting to explain RAG and its practical implications for content strategy. Then ask them why Perplexity cites different pages than ChatGPT for the same query.
If they cannot answer fluently, their AI knowledge is superficial. This is not an obscure technical question. It is the foundation of the discipline they are claiming to practise.
What a strong answer covers:
- How RAG retrieval differs from traditional crawl-and-index
- Why answer-first content structure improves extraction probability
- How different platforms weight recency, authority, and format differently
6. What Does Your Content Structure Approach Look Like?
The way content is structured is one of the most direct levers in AEO. AI systems are built to extract and cite answers efficiently. Content that leads with a clear, direct answer in 40 to 60 words, followed by supporting detail, is structurally optimised for extraction. Content that builds slowly to its main point, relies on storytelling, or buries conclusions is systematically disadvantaged.
A competent AEO agency should describe a specific answer-first content methodology. They should also cover schema markup beyond the basics.
Schema type | Why it matters for AEO |
|---|---|
FAQ | Directly maps to question-based AI queries |
HowTo | Structured steps are highly extractable |
Product / Review | Signals commercial context to AI engines |
Article / BlogPosting | Establishes content type and authorship |
Organization | Builds entity trust across platforms |
Ask to see examples of content they have produced for clients. Generic blog posts with no answer-first structure are a warning sign. The best agencies will show you the before-and-after of a page they restructured and explain exactly what changed and why.
7. Is AEO a One-Time Project or an Ongoing Programme?
Any agency that positions AEO as a one-time setup project either does not understand how AI search engines work, or is underselling the engagement to close the deal.
AI models update constantly. Content authority decays. Competitors are actively building citation signals every week. The brands that compound their AI visibility over time are those running continuous optimisation programmes, not those who did a one-time audit two years ago.
The ongoing work in a legitimate AEO programme includes:
- Regular content audits to identify citation decay
- Competitive monitoring to track share of voice shifts
- Prompt-level tracking to surface new query opportunities
- Iterative technical improvements as AI platforms evolve their retrieval mechanisms
- Off-site signal building that compounds month over month
If an agency cannot describe what the month-six or month-twelve engagement looks like in concrete terms, that is a significant gap. Press them on it.
8. How Do You Approach Competitive Positioning in AI Answers?
Getting cited by AI is not just a technical problem. It is a positioning problem.
AI models do not simply retrieve the most technically optimised page. They cite the source that best answers the query in the context of what the user is trying to accomplish. That means an agency needs to understand why customers choose your brand over competitors, and then translate that differentiation into structures that AI engines trust.
Most agencies start with keywords. The best ones start with a more fundamental question: why do customers actually choose you?
If your competitive positioning is unclear, your AI visibility will reflect that confusion. Ask the agency how they map competitive positioning before touching content or schema, and what their process looks like for identifying the specific claims you can credibly make that will resonate with both AI systems and the buyers they serve.
The agencies worth hiring treat positioning as a prerequisite, not an afterthought.
9. What Are Your Deliverables in the First 30 to 60 Days?
Vague timelines are a consistent red flag. Agencies that cannot describe what they will ship in the first 30 to 60 days — or that hide behind "SEO takes 12 to 18 months" without interim checkpoints — often go into autopilot mode after securing the retainer.
The early weeks of an engagement should produce concrete, verifiable work:
- A baseline audit showing current AI visibility across platforms
- A competitive citation analysis identifying where competitors are being cited and why
- A structured content and schema roadmap with prioritised pages
- Initial technical fixes on high-value pages
- Citation tracking infrastructure set up and running
Ask for a written scope of deliverables with dates. A credible agency will welcome this request. One that pushes back or offers only vague commitments is signalling how the rest of the engagement will go.
The first 60 days should establish a measurable baseline and produce at least one visible improvement in citation tracking data.
10. Do You Guarantee Specific AI Citation Positions?
If the answer is yes, walk away.
There are no stable first positions in AI-generated answers. AI responses change based on prompt phrasing, user location, recency signals, conversational context, and model updates that happen without notice. No agency controls how AI systems select and cite sources — and any agency claiming otherwise is either being dishonest or demonstrating a fundamental misunderstanding of how generative platforms work.
The legitimate goal of AEO is to build durable authority signals that increase the probability of citation across a wide range of relevant queries over time. That is a compounding, measurable process — but it is not a guaranteed outcome for any specific query.
An agency that is honest about this, and can explain the mechanisms behind citation probability, is demonstrating exactly the kind of expertise worth paying for.
Honest framing sounds like: "We can't guarantee you appear for query X, but we can show you how we've systematically improved citation frequency for clients in your category over six months."
Making the Decision
The AEO market in 2026 rewards buyers who ask hard questions early. The agencies worth hiring will welcome every question in this list — they will have specific answers, live proof, and a clear methodology they can articulate without preparation. The ones to avoid will deflect to traffic graphs, promise positions they cannot guarantee, and treat your website as the only variable that matters.
AEO is still a young discipline. No standardised measurement frameworks exist across the industry, and methodologies are evolving as generative platforms update their retrieval mechanisms. That makes the quality of the agency you choose more consequential, not less.
A partner with genuine expertise compounds your AI visibility over time. A pretender burns budget while your competitors build the authority signals that will define AI search for the next decade.
Frequently Asked Questions
What is the difference between AEO and SEO? SEO optimises for search rankings and organic clicks in traditional search engines. AEO optimises for citations and recommendations in AI-generated answers from platforms like ChatGPT, Perplexity, and Google AI Overviews. The two disciplines overlap significantly — strong technical SEO and authoritative content are foundational to both — but AEO adds specific layers around answer-first content structure, schema depth, off-site citation signals, and multi-platform visibility tracking that traditional SEO does not address.
How long does it take to see results from AEO? Most credible AEO agencies set expectations of three to six months before citation frequency shows meaningful improvement, with compounding gains in months six through twelve. The timeline depends on your current domain authority, competitive landscape, and how aggressively the agency is building off-site citation signals alongside on-page optimisation. Any agency promising significant results within 30 days is overpromising.
What budget should we expect for AEO services? Growth-stage companies typically invest between $5,000 and $20,000 per month for comprehensive AEO programmes. Enterprise implementations run higher depending on site complexity and the number of AI platforms being targeted. Standalone technical audits start around $5,000. Strategy-only engagements without execution support are generally less valuable because they introduce friction between insight and implementation.
Can we do AEO in-house? Teams can handle foundational work like schema markup, answer-first content restructuring, and basic citation tracking. The harder parts — understanding how AI models evaluate competitive positioning, building off-site authority signals across the sources AI platforms already trust, and interpreting prompt-level visibility data — require specialised expertise that most in-house teams have not yet developed. A hybrid model, where an agency handles strategy and technical depth while in-house teams manage content production, often delivers the best cost-to-impact ratio.
Which AI platforms should we prioritise for AEO? For most B2B companies, the priority order is ChatGPT, Google AI Overviews, and Perplexity, as these three platforms drive the largest share of discovery traffic for commercial queries. Claude and Grok are growing in relevance and worth tracking, particularly for technology and finance audiences. An agency should be able to show you where your brand currently stands across all five platforms before recommending where to focus first.