Quick answer: Your AI SEO agency should use a stack that covers four jobs: technical and traditional SEO tools, AI-answer and citation tracking, content and structured-data tools, and authority and PR monitoring. The exact brands matter less than the coverage, and far less than how the agency uses them. Tools inform the work; they do not do it. Be wary of any agency that sells the software as the strategy.
Why the tool question is the wrong first question
It is tempting to judge an agency by its software, but tools are the least distinctive thing about any provider. Most reputable agencies have access to broadly the same platforms, and a licence to expensive software tells you nothing about whether the people using it know what they are doing.
Still, the question is worth asking, because the right stack signals that an agency takes the full job seriously, especially the AI-specific parts that traditional shops ignore. Use the tooling conversation not to collect brand names, but to check that they can see and measure everything that now matters, and to hear how they actually use it.
The four jobs a stack needs to cover
Rather than chase specific brands, look for coverage across four jobs. An agency that can do all four has the visibility it needs to run a modern programme; gaps here mean blind spots in your campaign.
- Technical and traditional SEO: crawling, audits, rankings, and analytics.
- AI-answer and citation tracking: monitoring what AI engines say and cite.
- Content and structured data: research, optimisation, and schema.
- Authority and PR: backlink, mention, and review monitoring.
Traditional SEO tools that are still essential
AI SEO is built on traditional foundations, so the classic toolset has not gone away. Your agency still needs to crawl your site, find technical issues, track rankings, and read analytics, because none of the AI layer works if the fundamentals are broken.
These are the workhorses behind the scenes. The specific brands vary, and good agencies often use more than one, but the capability is non-negotiable. If a provider cannot show you how they audit technical health and measure organic performance, the AI talk is built on sand.
- A crawler and technical auditor for site health.
- A rank and keyword tracker for traditional search.
- Analytics for traffic, behaviour, and conversions.
- Search Console-style data straight from the source.
The AI-specific tools that actually distinguish an agency
This is where modern agencies separate from legacy ones. Measuring AI visibility requires tools, and increasingly bespoke processes, for tracking what AI answer engines say about your category, whether you are cited, and how you compare with competitors inside those answers.
The category is young, so the tooling is a mix of emerging platforms and in-house methods. What matters is that the agency has a real, repeatable way to monitor AI citations and share of voice, not just a vague promise to keep an eye on it. If they cannot show you how they track AI answers, they probably are not.
| Capability | What it tracks | Why it matters |
|---|---|---|
| AI citation tracking | Whether you are cited in answers | Core AI SEO metric |
| Share of voice | Your presence versus competitors | Competitive position |
| Prompt monitoring | How answers change over time | Catches shifts early |
| Schema validation | Structured data correctness | Helps AI read you |
Content and structured-data tooling
Getting cited depends on content that answers real questions and on structured data that machines can read. Your agency should use research tools to find the questions your buyers actually ask, optimisation tools to shape answer-first content, and schema tools to mark it up so AI engines can extract it cleanly.
None of this replaces judgement. The best content tools surface opportunities and check structure, but a human still has to decide what is worth saying and say it well. Treat these as instruments that sharpen good editorial work, not substitutes for it.
Authority and reputation monitoring
AI engines lean heavily on third-party consensus, so your agency needs to monitor the signals that build trust off your own site. That means tracking backlinks and mentions, watching reviews on the platforms AI engines cross-check, and spotting PR and citation opportunities as they arise.
This is the pillar most traditional shops underweight, yet it is decisive for AI visibility. An agency serious about getting you cited will be watching your authority footprint as closely as your on-site metrics, because that footprint is much of what AI uses to decide whether to recommend you.
- Backlink and brand-mention monitoring.
- Review tracking across G2, Capterra, Clutch, and similar.
- PR and digital-citation opportunity spotting.
- Competitor authority benchmarking.
How to talk to an agency about tools
When you raise tooling, listen for how they use it rather than which logos they own. A strong agency will connect each capability to a decision it informs and a result it helps produce. A weak one will recite brand names as if the software is the strategy.
The healthiest answer sounds like a workflow, not a shopping list. They should be able to explain how a tool surfaces an insight, how a human acts on it, and how the result shows up in your reporting. If the tools sound like the whole offer, that is your cue to dig deeper or look elsewhere.
- Ask how a tool changes what they actually do, not just what it shows.
- Check they cover all four jobs, not only traditional SEO.
- Be wary if software is pitched as the strategy itself.
- Confirm AI-citation tracking is a real process, not a promise.
How MarGen thinks about its stack
At MarGen we use a stack that covers all four jobs, combining established SEO platforms for the fundamentals with AI-citation tracking and bespoke monitoring for the parts that legacy tools miss. But we treat tools as instruments, not strategy, because the judgement about what to do with the data is where the value sits.
What we report to you is not a list of software; it is what the tools revealed and what we did about it, measured against AI citations and outcomes. If you want to know whether an agency is serious, ask them to walk you through that chain. The right tools should disappear behind the results they help produce.
See MarGen’s AI SEO Packages
MarGen runs AI SEO as one connected programme — the Synaptic Authority Engine — across three retainer tiers: Foundation (£1,950/mo), Authority (£5,950/mo) and Dominance (from £12,950/mo), each starting with a free audit. See the full packages and pricing breakdown, or book your free AI Visibility Audit to find the right fit.
Frequently Asked Questions
Does the specific software brand matter?
Far less than buyers think. Most reputable agencies use broadly similar platforms, and a licence tells you nothing about whether the people using it are skilled. What matters is coverage across the four jobs and, above all, how the agency uses the tools. Be wary of any provider that pitches the software as the strategy.
What four jobs should the stack cover?
Technical and traditional SEO like crawling, audits, rankings, and analytics; AI-answer and citation tracking; content and structured-data tools including schema; and authority and PR monitoring for backlinks, mentions, and reviews. An agency that covers all four has the visibility to run a modern programme. Gaps mean blind spots in your campaign.
Are traditional SEO tools still needed?
Yes, they are essential. AI SEO is built on traditional foundations, so your agency still needs to crawl your site, find technical issues, track rankings, and read analytics. None of the AI layer works if the fundamentals are broken. If they cannot show how they audit technical health, the AI talk is built on sand.
What AI-specific tools should they have?
A real, repeatable way to track AI citations, measure share of voice against competitors, and monitor how AI answers change over time, plus schema validation. The category is young, so this is often a mix of emerging platforms and in-house methods. What matters is that they can show you the process, not just promise to keep an eye on it.
Why does authority monitoring matter so much?
Because AI engines lean heavily on third-party consensus when deciding who to recommend. Your agency should track backlinks and mentions, watch reviews on the platforms AI engines cross-check, and spot PR and citation opportunities. This pillar is the one traditional shops underweight, yet it is decisive for AI visibility.
Can tools do the work on their own?
No. Tools surface opportunities, check structure, and measure results, but a human still has to decide what is worth doing and do it well. The best content and AI tools sharpen good editorial and strategic work; they do not replace it. Treat any agency that implies the software does the work with caution.
How should I talk to an agency about tools?
Listen for how they use tools rather than which logos they own. A strong agency connects each capability to a decision it informs and a result it helps produce, describing a workflow rather than reciting a shopping list. If the tools sound like the whole offer, dig deeper or look elsewhere.
Key Takeaways
- Judge the stack on coverage of four jobs, not specific brand names.
- Traditional SEO tools remain essential foundations for the AI layer.
- AI-citation and share-of-voice tracking is what distinguishes a modern agency.
- Authority and review monitoring is the pillar legacy shops underweight.
- Tools inform the work; be wary of any agency selling software as strategy.
About the Author
Leeroy Powell is the founder of MarGen, an AI visibility agency that engineers GEO, AEO, and AI citation authority for B2B SaaS, financial services, legal, healthcare, and premium e-commerce brands. He writes about how search is changing as AI answer engines reshape how customers find and trust businesses.