Analysis and research at scale
This page explains how we use AI inside our SEO projects. It's not a separate service: it's a layer of tools we apply when they bring real value to the client. Strategy, decisions and data interpretation remain the job of a senior SEO consultant.
In the analysis and research phase, AI lets us cover more ground in less time:
- Search intent analysis at scale: we cluster thousands of keywords by real intent and dominant SERP format. This gives a solid base for the keyword research process, which a consultant then validates.
- Detailed content briefings: we generate thorough initial outlines to guide writers. Every briefing is validated by a human before it goes into production.
- Drafts as a starting point: for high-volume informational content we can start with AI-assisted drafts that the editorial team reviews, enriches with real experience and validates. Nothing is published without human review.
The result is well-structured topic clusters, produced at a reasonable pace and without giving up quality or the 'E' for Experience in Google's E-E-A-T.
How We Work
We guide you with clarity every step of the way to get you real results.
Data integration
Tool-assisted analysis
Expert reading by the consultant
Supervised execution
Trends and Opportunities Analysis
Traditional SEO reacts to existing data. By combining it with AI tools, we can stay ahead of market moves by analysing many more signals in far less time:
- Detect Emerging Trends: We cross-reference data from Google Trends, social media conversations and specialized forums like Reddit to identify topics that are gaining traction.
- Map the User's 'Next Click': We study the customer journey to understand what kind of content a user looks for after reading one of your pages and build a content ecosystem that supports them at every stage.
- Analyse Competitor Moves: As detailed in our post on AI competitor analysis, we identify which content gaps your rivals are most likely to try to fill next.
This lets us create content before your competition and capture the 'first wave' of demand, instead of arriving late.
What You Gain by Working With Us
Our goal: growth for your business that you can see and that lasts.
More coverage in the same time
More efficient operational tasks
Decisions based on real data
Compatible with classic SEO
Frequently Asked Questions about our use of AI in SEO
We clarify what AI does — and does not do — in our projects.
Will AI replace SEO consultants?
No. Strategy, judgement and business understanding remain human work. AI is another tool in the consultant's toolbox: it covers analysis at scale, speeds up repetitive tasks and frees time for what really adds value (strategy, editorial content, business decisions).
Does Google penalise AI-generated content?
Google penalises low-quality content, regardless of how it was created. Our approach is to use AI for research and to start drafts that consultants and writers then review, edit and enrich. Nothing is published without human review.
What tools do you actually use?
A combination of leading market tools (Ahrefs, Semrush, Screaming Frog, Search Console, GA4…) and, when needed, language models via API (GPT, Gemini, Claude) plus in-house scripts for specific tasks like log analysis or crawling large sites.
Is it safe to use AI for SEO?
It is safe when done with judgement and human review. The danger is not in the tool but in how it is used. We don't use it to generate massive amounts of low-quality content. We use it for analysis and operational assistance under supervision, staying within Google's guidelines.
What does using AI add over doing SEO purely by hand?
Mainly coverage and speed: we can audit more URLs, cluster more keywords by intent and react to algorithm changes with more data. That shortens timelines on some decisions, but SEO remains a medium-term investment.
Do I need a big budget for it to make sense?
Not necessarily. What we scale is the breadth of analysis and operations. For an SMB, AI makes SEO more efficient. For a large account, it lets us manage very large sites without growing the team disproportionately. We adapt the usage to each budget.
How does AI help with link building?
It accelerates the analytical work: reviewing many competitors' backlink profiles, finding patterns, generating lists of potentially relevant sites and personalised outreach drafts. Validating each link and the final decision remain human, because link quality drives the whole strategy.
Can AI understand my niche even if it's very technical?
Yes, with support. General models know what is published on the open web; for very specific niches we feed them your own documentation, glossaries and existing content as context. Final copy is always validated by a consultant who actually knows the sector.
What about AI hallucinations (made-up data)?
It's a real risk if AI is used without supervision, so our process always includes a human-in-the-loop. AI is a research assistant, not the final author. Every relevant fact is verified against primary sources before publishing.
How do you react to a Google update?
We combine the consultant's hands-on tracking with tool-assisted analysis at scale: comparing winning and losing pages, both yours and competitors', to spot patterns and adjust the strategy with evidence rather than speculation.
Does this apply equally to B2B and B2C?
It adapts. In B2B, with long sales cycles, tools are very useful for technical long-tail and in-depth content (whitepapers, case studies). In B2C they help more with trend analysis and large-scale catalogue optimisation. More detail in the article B2B vs B2C SEO with AI.
Does AI specifically improve E-commerce or Local SEO?
Yes. For an e-commerce it helps to rewrite or enrich thousands of product pages without losing quality. For Local SEO it lets us process reviews at scale to detect strengths and weaknesses we can then apply to the Google Business Profile.
If AI does much of the work, why do I still need a consultant?
Because the tool doesn't decide what your project needs by itself. The consultant interprets the data, connects it with your business goals and makes the calls the tool cannot. AI frees the consultant from repetitive operations so more time goes into what matters.
How much does it cost to start using AI in an SEO project?
It depends on the project. In most cases the cost of the tools is marginal compared to the consultant's time. What changes is what you cover with the same budget.
How does this integrate with SEM or social media?
Data flows across channels. What we learn in SEO about intent and user pain feeds SEM and social content, and vice versa: Ads CTR data helps optimise SEO meta titles. AI is a layer that makes that cross-channel work easier.
Is using AI in SEO a fad?
It is already part of the professional standard. Search engines themselves are AI-based, so ignoring it means working with one arm tied. But using it as a sales pitch — 'AI-first agency' — without method behind it is empty. The value lies in the method, not in the adjective.