How we apply AI in every project phase
When an agency presents itself as an "AI SEO agency" without explaining what it actually does with AI, the message rings hollow. Our position is the opposite: tell exactly what we use AI for in every phase and where judgement remains human.
1. Research and discovery
- Intent analysis at scale: we cluster thousands of keywords by real intent (informational, transactional, navigational, commercial) and by dominant SERP format. What used to take a consultant weeks now takes days with real coverage.
- Detailed content briefings: we generate very complete initial outlines to guide writers. Every briefing is validated by a human before production.
- Competitor analysis: we cross-reference profiles of up to 50 competitors simultaneously to spot content gaps, linking patterns and long-tail opportunities that would go unnoticed by hand.
2. Content production
- Drafts as a starting point: in large-scale informational content we may start with AI-assisted drafts that the editorial team reviews, enriches with real experience and validates. Nothing is published without human review.
- On-page optimization at scale: rewriting of metadata, FAQs and specific blocks based on validated templates, keeping consistency across thousands of URLs without sacrificing quality.
- Continuous semantic analysis: we measure topical coverage, gaps and deepening opportunities for every content cluster published.
3. Technical SEO
- Server log analysis: we identify Googlebot crawl patterns, uncrawled pages, wasted crawl budget, anomalies. A task that is impossible by hand over millions of lines.
- Automated technical audits: our agents run weekly checks on performance, Core Web Vitals, schema, indexation and alert on deviations.
- Mass schema markup: we generate and implement structured data (Product, FAQPage, HowTo, Article) across entire catalogues, respecting rules defined by the consultant.
4. Link building and digital PR
- At-scale prospecting: we crawl thematically relevant sites at volume, score them by authority and likelihood to respond, and extract verified contacts.
- Personalized outreach: the model analyses the prospect's latest articles and generates drafts with real personalization. Validation and send are human.
- Unlinked mention detection: continuous web scan for brand mentions without links and reclamation opportunities.
How We Work
We guide you with clarity every step of the way to get you real results.
Data integration
AI-assisted analysis
Expert reading by the consultant
Supervised execution and reporting
Classic SEO agency vs AI SEO agency: what actually changes
To avoid the typical empty "we are AI-first" pitch, here is the honest comparison between how a classic SEO agency works and how we work:
| Work area | Classic SEO agency | SEO1 AI (AI agency) |
|---|---|---|
| Keyword research | Manual with Semrush/Ahrefs. 200-500 keywords analysed. | Manual + AI. 10,000-50,000 keywords clustered by intent and SERP feature. |
| Technical audit | One-off crawl + manual review. Quarterly recurrence. | Crawl + log analysis + weekly agent checks. Proactive detection. |
| Content briefings | One-page Word document per piece. | 4-6 page briefing with structure, semantics and citable references. |
| Link building | Manual list of dozens of prospects. | Much larger list of scored prospects + AI-assisted personalized outreach. |
| Reporting | Monthly Looker Studio with standard metrics. | Looker + real-time alerts + qualitative executive report from the consultant. |
| Visibility in LLMs (ChatGPT, Perplexity) | Not measured. | Measured and worked on as a first-tier metric. |
| Ability to manage +1M URL sites | 5-10 dedicated team members. | Lean team + supervised automated routines. |
What does not change: strategy, the consultant's judgement, the relationship with the client and accountability for every decision. AI covers "what's happening" at scale; the consultant decides "what we do about it". If we let a model make the decisions, we would not be an agency: we would be a tool.
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
Visibility in the new search
Frequently Asked Questions about our AI SEO agency
We clarify what AI does — and does not do — in our projects.
What does an AI SEO agency do that a classic one doesn't?
Three things: it covers far more analysis volume in the same time (search intent, logs, competitors), automates repetitive operational tasks (mass metadata, internal linking, monitoring) and measures visibility in AI engines (ChatGPT, Perplexity, AI Overviews), not just classic Google. Strategy and judgement remain human.
Will AI replace SEO consultants?
No. Strategy, judgement and business understanding remain human work. AI covers analysis at scale, accelerates repetitive tasks and frees up 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 to research and to start drafts that consultants and writers later review, edit and enrich. Nothing is published without human review.
What tools and models do you actually use?
A combination of industry-leading tools (Ahrefs, Semrush, Screaming Frog, GSC, GA4, Looker, BigQuery) and language models via API (GPT, Gemini, Claude) for specific tasks. When required, internal Python scripts for log analysis, large-site crawling or AI citation monitoring.
Is it safe to use AI for SEO?
It is safe when done with judgement and human review. The danger is not the tool but how it's used. We don't use it to generate mass low-quality content. We use it for analysis and as an operational assistant under supervision, in line with Google's guidelines.
What results does using AI bring vs doing SEO only 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 the timing of some decisions, but it doesn't change the fact that SEO remains a mid-term investment (6-12 months for solid impact).
What size of company is an AI SEO agency right for?
For an SME, AI makes SEO more efficient and profitable at smaller budgets. For a large account or an e-commerce with thousands of URLs, it makes viable what a pure human team could not address without tripling. We adapt usage to budget and size.
How does AI help with link building?
It accelerates analysis: reviewing the link profiles of many competitors, finding patterns, generating lists of potentially relevant sites and drafts of personalized outreach. Validation of every link and the final decision remain human, because link quality drives the whole strategy. More detail in our post on AI link building.
Can AI understand my niche, even if it's very technical?
Yes, with support. General models know what is published online; for very specific niches we feed them with the client's own documentation, glossaries and existing content as context. Final texts are always validated by a consultant with real sector knowledge and, where applicable, a client expert.
What about AI 'hallucinations' (made-up data)?
It's a real risk when used without supervision, which is why our process always includes human review ('human-in-the-loop'). AI is a research assistant, not a final author. Every relevant data point is verified against primary sources before publishing.
Do you also measure visibility in ChatGPT or Perplexity?
Yes, it's one of the differentiating traits of our agency. We run prompts representative of the client's sector in ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews and measure which domains are cited and how often. We cover this in detail in our GEO / AEO / LLMO service.
How do you react to a Google update?
We combine the consultant's manual tracking with at-scale analysis supported by tools: comparing winning and losing pages — our own and competitors' — to spot patterns and adjust strategy with evidence, not speculation. Speed of reaction is one of the areas where AI makes the biggest difference.
Is it applied the same way in B2B and B2C?
It adapts. In B2B, with long sales cycles, tools are very useful for technical long-tail and deep content (whitepapers, case studies). In B2C, they help more with trend analysis and catalogue optimization at scale. More in the article B2B vs B2C SEO with AI.
Does AI specifically optimize e-commerce or local SEO?
Yes. For an e-commerce it helps rewrite or enrich thousands of product sheets without losing quality. For local SEO it processes reviews at scale to detect strengths and weaknesses that are then applied 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 on its own what your project needs. The consultant interprets the data, connects it with your business goals and makes the decisions tools cannot make. AI frees the consultant from repetitive operations so they can spend more time on 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 tools and models is marginal compared to the consultant. What changes is what we cover with the same budget: more analysis, more optimization at scale and faster reaction to algorithm or SERP changes.
How does this integrate with SEM or social media?
Data crosses channels. What we learn in SEO about intent and user pain feeds SEM and social content, and vice versa: Ads CTR data helps optimize SEO meta titles. AI is a layer that facilitates that cross-pollination. We explain it in AI SEM.
Is using AI in SEO a fad?
It is already part of the professional standard. Search engines themselves run on AI, so ignoring it would mean working with one arm tied. But using it as a sales pitch — 'AI-first agency' — without method behind is empty. Value sits in the method, not the adjective.