The 4 types of search intent (+1 new)
The traditional classification distinguishes 4 types of intent. In 2026, a 5th type is emerging with AI engines:
1. Informational ("I want to know")
The user is looking for an answer, an explanation, a guide. Examples: "what is AEO", "how does content clustering work", "difference between SEO and AEO".
Optimal format: blog articles, guides, FAQs, definitions.
2. Navigational ("I want to go")
The user is looking for a specific site or page. Examples: "Semrush login", "AI SOS contact", "Google Search Console".
Optimal format: homepages, login pages, contact pages.
3. Transactional ("I want to do")
The user wants to perform an action: buy, sign up, download. Examples: "buy Semrush", "SEO agency Brussels quote", "download editorial calendar template".
Optimal format: product pages, pricing pages, landing pages.
4. Commercial ("I want to compare")
The user is in the consideration phase and comparing options. Examples: "Semrush vs Ahrefs", "best SEO agency Belgium", "AI monitoring tools comparison".
Optimal format: comparisons, reviews, "top X" lists, case studies.
5. Conversational ("I want to dialogue") — NEW
With AI engines, a new type is emerging: the user asks a complex or multi-layered question, often in natural language. Examples: "explain how to optimise my site to be cited by ChatGPT and Perplexity simultaneously", "what is the best SEO investment for a Belgian SME in 2026".
Optimal format: AI-first content, detailed FAQs, conversational guides.
"Search intent is not a theoretical concept. It is the #1 criterion Google uses to decide which types of results to display. Aligning your content with intent means speaking the same language as the algorithm."
Why intent is the #1 SEO factor in 2026
You may have the best article in the world on a subject. If it does not match the query intent, it will not rank. Full stop.
Concrete example: if someone searches for "SEO editorial calendar", the intent is informational-practical (the user wants a template or method). A philosophical article about the importance of editorial planning will not address the intent — a guide with a template will (see our editorial calendar guide).
In 2026, intent-content alignment is even more critical for two reasons:
- Google refines its intent analysis: recent Core Updates penalise misaligned content more severely. Sistrix measures an average impact of -35% visibility for misaligned content after the March 2026 Core Update.
- LLMs filter by intent: when ChatGPT or Perplexity answers a question, they only select sources that precisely respond to the detected intent. Content that misses the intent is ignored, even if it is high quality.
Method for identifying the intent of each query
Method 1: SERP analysis (the most reliable)
Type your target keyword into Google and analyse the top 10 results:
- What type of content dominates? (articles, products, comparisons, videos)
- What structure? (long guides, lists, FAQs, short pages)
- What SERP features appear? (AI Overview, PAA, Shopping, Local Pack)
The SERP intent IS the query intent. Google has billions of data points to determine it — trust its judgement.
Method 2: Linguistic cues
- Informational indicator words: "how", "what is", "guide", "why", "definition"
- Transactional indicator words: "buy", "price", "quote", "order", "sign up"
- Commercial indicator words: "vs", "comparison", "best", "review", "alternative"
- Navigational indicator words: brand names, "login", "official site"
Method 3: AI test
Ask the query to ChatGPT or Perplexity. The nature of the generated response reveals the dominant intent. If the AI responds with an explanation: informational. If it suggests products: transactional. If it compares: commercial.
Comparison: intent and optimal content format
| Intent type | Optimal content format | Recommended length | Key elements | AI citation priority |
|---|---|---|---|---|
| Informational | Guide, tutorial, expert article | 1,500 - 3,000 words | Definition, steps, examples, FAQ | Very high |
| Navigational | Homepage, brand page | 300 - 800 words | Clear navigation, branding | Low |
| Transactional | Landing page, product page | 800 - 1,500 words | Price, CTA, benefits, reviews | Medium |
| Commercial | Comparison, review, top X | 1,500 - 2,500 words | Comparison table, pros/cons, verdict | Very high |
| Conversational | Enriched FAQ, AI-first guide | 1,800 - 2,500 words | Direct answers, extractable structure | Maximum |
Search intent and AI answer engines
AI answer engines (ChatGPT, Perplexity, Gemini) process intent differently from Google. Key differences:
- Queries are longer and more nuanced: users ask complete questions in natural language, not short keywords
- Intent is often multi-layered: "how to optimise my site for AI and how much does it cost" combines informational + transactional
- LLMs decompose complex queries: they identify sub-intents and look for sources for each one
Implication for your content strategy: each article must anticipate related questions. An article on AI content strategy must also address cost, timeline and measurement questions — even briefly — to maximise its citability in LLM multi-source responses.
"AI engines do not look for 'the best article' — they look for 'the best fragment for each sub-question'. Your content must be designed so that each section is self-contained and individually citable."
FAQ
Can a query have multiple intents?
Yes. Many queries have mixed intent. "Best SEO tool" is both informational (I want to know what tools exist) and commercial (I want to compare to choose). In that case, a comparison piece with educational context is the optimal format.
Does search intent change over time?
Yes. Intent can evolve with trends. "ChatGPT" in 2023 was mostly navigational (people were looking for the site). By 2026, it had become informational + commercial (people are looking for how to use it or compare it). Review your intent analyses regularly.
How do you adapt an existing article to the correct intent?
Analyse the current SERP for your target keyword. If the SERP shows comparisons and your article is a theoretical guide, restructure it as a comparison. Sometimes you need to create a new article rather than restructuring — especially if the existing article is ranking for other keywords.
Do SEO tools automatically identify intent?
Semrush and Ahrefs classify intent for most keywords (informational, commercial, transactional, navigational). This is a good starting point, but always verify with a manual SERP analysis — tools get it wrong on 15-20% of queries.
Is search intent the same on Google and AI engines?
Not always. On AI engines, queries are often longer, more nuanced, and more conversational. "Conversational" intent is almost absent on Google but dominant on ChatGPT and Perplexity. Optimise for both types of queries.
Do you need a different article per intent type on the same topic?
Yes, in most cases. "AI SEO" with informational intent = comprehensive guide. "AI SEO" with commercial intent = agency comparison. "AI SEO" with transactional intent = quote page. Three distinct pieces of content, three distinct URLs, three different structures.
Does your content not match search intents?
We audit the intent-content alignment of your blog and restructure each page to match the dominant intent.
Align my content
