What to ask an AI SEO agency on the first call
The first call is not about getting a full strategy presentation. It is about checking fit, evidence, and execution quality. A strong SEO agency discovery call should leave you with a clear view of how the agency thinks, what it measures, and where it draws the line between automation and human judgment.
How to separate AI-native expertise from generic SEO sales talk
Ask the agency to explain AI SEO in plain language. Then listen for whether they discuss retrieval, citations, entity coverage, content structure, and AI visibility monitoring—or whether they fall back on generic keyword ranking language.
Good questions:
- How do you define AI SEO and GEO?
- Which AI surfaces do you optimize for?
- How do you measure whether a brand appears in AI answers?
- What does your reporting show beyond organic traffic?
A credible AI SEO agency should be able to explain how AI search behavior differs from classic search. They should also be able to describe how they work across generative engine optimization agency priorities, not just blue-link rankings.
The 5 decision criteria that matter most
Use these five criteria to guide the conversation:
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Strategy clarity
Do they have a coherent approach to AI visibility, or just a list of tools?
-
Measurement rigor
Can they show how they track progress over time, including limitations?
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Execution process
Do they have a repeatable onboarding and delivery workflow?
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Brand safety
Can they protect accuracy, tone, and compliance?
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Commercial fit
Does the scope match your budget, timeline, and internal resources?
Reasoning block: what to prioritize
Recommendation: prioritize strategy clarity and measurement rigor first.
Tradeoff: this may narrow your shortlist faster, but it prevents you from overvaluing polished sales decks.
Limit case: if you only need traditional SEO support, a lighter evaluation may be enough.
Questions about strategy and AI visibility
This is where you test whether the agency understands modern search behavior. AI visibility is not the same as ranking for a keyword. It depends on how systems retrieve, summarize, and cite information across multiple surfaces.
How they define AI SEO and GEO
Ask:
- What do you mean by AI SEO?
- How do you distinguish SEO, GEO, and AI visibility monitoring?
- What does success look like in AI-driven search environments?
Strong answers should explain that AI SEO includes optimizing content and site structure so AI systems can understand, retrieve, and reference your brand accurately. If they use the term GEO, they should be able to connect it to generative engine optimization and explain how it affects content planning.
Weak answers often sound like this:
- “We do AI SEO by using AI tools.”
- “It is basically SEO, but faster.”
- “We optimize for ChatGPT rankings.”
That last phrase is a red flag. AI surfaces are not all the same, and no serious agency should promise a single ranking position across them.
Which AI surfaces they optimize for
Ask:
- Which AI surfaces do you monitor and optimize for?
- Do you track visibility in AI Overviews, chat assistants, and answer engines?
- How do you handle differences between search engines and LLM interfaces?
A strong agency should name the surfaces relevant to your market and explain how each one behaves differently. For example, a brand may appear in one AI answer environment but not another because of source selection, freshness, or entity recognition.
Evidence block: publicly verifiable examples
Source: Google Search Central and product documentation; OpenAI and Microsoft product documentation.
Timeframe: reviewed as of 2026-03.
Why it matters: these public sources show that AI-driven search and answer experiences use different retrieval and presentation patterns, which means “one ranking” is not a useful success metric.
Reader takeaway: ask agencies how they adapt measurement to each surface instead of assuming a single dashboard can capture everything.
Questions about data, measurement, and reporting
Measurement is where many AI SEO agencies become vague. You want a partner that can show progress without pretending attribution is perfect.
What metrics they track
Ask:
- What metrics do you track for AI visibility?
- How do you measure citations, mentions, inclusion, and share of voice?
- What is your reporting cadence?
- Which metrics are leading indicators versus lagging indicators?
Useful metrics may include:
- AI answer inclusion rate
- Citation frequency
- Branded mention consistency
- Entity coverage
- Content retrieval performance
- Organic traffic and assisted conversions
The best agencies will explain that some metrics are directional, not absolute. That is a good sign. It means they understand the limits of attribution in AI environments.
How they prove impact over time
Ask:
- How do you show improvement month over month?
- What baseline do you establish at the start?
- How do you separate agency impact from seasonality or product changes?
- What happens if AI visibility improves but traffic does not?
A serious agency should establish a baseline before making changes. They should also explain how they interpret mixed outcomes. For example, visibility in AI answers may increase before traffic changes, or traffic may rise while AI citations remain flat.
Reasoning block: what to compare
Recommendation: compare agencies on baseline quality, reporting transparency, and metric definitions.
Tradeoff: this is less exciting than asking about “growth,” but it gives you a truer picture of performance.
Limit case: if your leadership only wants top-line traffic reporting, you may need a simpler framework, though you will lose AI-specific insight.
Mini comparison table
| Question area | Why it matters | Strong answer signals | Weak answer signals | Decision impact |
|---|
| AI visibility definition | Shows whether they understand the category | Clear explanation of SEO, GEO, and AI visibility | Buzzwords without definitions | High |
| Surfaces monitored | Reveals scope and relevance | Names specific AI surfaces and differences | “We optimize for all AI” | High |
| Metrics tracked | Tests measurement maturity | Baselines, citations, inclusion, and limits | Traffic-only reporting | High |
| Impact proof | Shows rigor over time | Baseline plus trend analysis | Vanity metrics and vague wins | High |
A good AI SEO agency should have a process that is structured but not rigid. You want enough automation to scale work, but not so much that the output becomes generic or risky.
What the onboarding process looks like
Ask:
- What happens in the first 30 days?
- What inputs do you need from our team?
- How do you audit the current site, content, and AI visibility?
- What deliverables should we expect first?
A strong onboarding process usually includes:
- Discovery and goal alignment
- Baseline measurement
- Technical and content audit
- Priority mapping
- Reporting setup
- First optimization plan
If the agency cannot explain the first month clearly, that is a warning sign. Good execution starts with a defined sequence, not a vague promise to “get started quickly.”
Ask:
- Which tools do you use for research, monitoring, and reporting?
- What parts of the workflow are automated?
- Where do humans review or approve outputs?
- How do you prevent tool-generated errors from reaching production?
The best agencies use tools to speed up analysis, not replace judgment. They should be able to explain where automation helps and where editorial or technical review is required.
Evidence-style note
Benchmark summary: Internal agency evaluation framework, reviewed 2026-03.
Criteria used: strategy clarity, measurement rigor, process transparency, brand safety, and commercial fit.
Outcome pattern: agencies with clear human review steps and baseline reporting were easier to compare than agencies relying on automated dashboards alone.
Use case: helpful for teams building a vendor scorecard before a contract decision.
Questions about content, technical SEO, and brand control
AI visibility depends on content quality and technical accessibility. But it also depends on whether the agency can protect your brand voice and factual accuracy.
How they handle content creation
Ask:
- Do you create content, optimize existing content, or both?
- How do you decide what to rewrite versus expand?
- How do you ensure content is useful for both users and AI systems?
- Do you have a process for content refreshes?
A strong AI SEO agency should not treat content as a volume game. They should explain how they improve structure, clarity, topical coverage, and entity signals while keeping the content useful for real readers.
How they protect brand voice and accuracy
Ask:
- How do you maintain brand voice across AI-assisted workflows?
- What review steps exist for factual accuracy?
- How do you handle regulated or sensitive topics?
- Who approves final content?
This is especially important if your brand works in a regulated, technical, or high-trust category. AI-generated drafts can be efficient, but they still need editorial control. Texta is designed around that balance: helping teams understand and control their AI presence without requiring deep technical skills.
Reasoning block: content governance
Recommendation: require human review for any content that affects claims, compliance, or brand trust.
Tradeoff: this adds time to production, but it reduces reputational risk.
Limit case: for low-risk supporting content, a lighter review workflow may be acceptable.
Questions about pricing, scope, and contract terms
A discovery call should also clarify how the agency packages work. Many problems later come from vague scopes, not strategy disagreements.
What is included in the retainer
Ask:
- What exactly is included each month?
- How many deliverables, audits, or meetings are covered?
- Are content, technical fixes, and reporting all included?
- What is billed separately?
You want a scope that is specific enough to compare across vendors. If the agency says “full-service” but cannot define the work, ask for a written breakdown.
What happens if priorities change
Ask:
- How do you handle shifting priorities?
- Can we reallocate effort between content, technical SEO, and AI visibility monitoring?
- What is the process for scope changes?
- How much notice is required?
This matters because AI search evolves quickly. Your priorities may shift as new surfaces emerge or as internal stakeholders change direction.
Red flags to watch for during the discovery call
Some warning signs are obvious. Others are subtle. Either way, they should affect your scorecard.
Overpromising rankings in AI answers
Be cautious if the agency guarantees:
- Top placement in AI answers
- Specific citation frequency
- Fast results without baseline work
- “#1 in ChatGPT” style outcomes
No one controls AI outputs that tightly. A credible agency will talk about probability, influence, and measurement—not guarantees.
No clear measurement framework
If they cannot explain:
- What they measure
- How they baseline performance
- How they report progress
- What success looks like in 90 days
then they are not ready to manage AI visibility seriously.
Other red flags:
- Heavy jargon with no examples
- No mention of editorial review
- No distinction between SEO and GEO
- A tool-first pitch with no strategy
- Refusal to discuss limitations
A simple scorecard for comparing agencies
Turn the discovery call into a decision tool. Score each agency from 1 to 5 in the categories below.
Scoring criteria
- Strategy clarity
- AI visibility understanding
- Measurement rigor
- Process transparency
- Brand safety
- Commercial fit
- Communication quality
How to choose the best fit
Use the scorecard after every call, while the details are still fresh. Then compare agencies side by side.
A practical rule:
- Choose the agency that gives the clearest answers, not the most confident ones.
- Favor teams that explain tradeoffs.
- Prefer measurable plans over broad promises.
- Look for a partner that can support both AI visibility monitoring and traditional SEO fundamentals.
If two agencies score similarly, choose the one that is more transparent about limits. That usually signals stronger long-term partnership potential.
FAQ
What should I ask an AI SEO agency before hiring them?
Ask how they define AI SEO, what AI surfaces they optimize for, how they measure visibility, what tools they use, and how they protect brand accuracy. Those questions reveal whether the agency understands both strategy and execution.
How do I know if an agency really understands AI search?
Look for specific answers about retrieval, citations, entity coverage, content structure, and reporting across AI-driven surfaces—not just traditional keyword rankings. Real expertise sounds operational, not promotional.
What are the biggest red flags on an agency discovery call?
Vague strategy, guaranteed outcomes, no measurement plan, unclear deliverables, and heavy reliance on automation without editorial oversight are the biggest red flags. Any one of these can create risk; several together usually mean the agency is not a good fit.
Should I ask about GEO specifically?
Yes. If your goal is AI visibility, ask how they approach generative engine optimization, citation readiness, and content designed for AI retrieval. GEO language is useful when the agency can connect it to practical work.
How many questions should I ask on the call?
Use 10 to 15 high-signal questions, then follow up on any weak or evasive answers with a scorecard after the meeting. That keeps the call focused while still giving you enough information to compare vendors.
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