Keyword analysis in 2026 is no longer just about extracting search volumes from a tool and sorting by difficulty. The deployment of AI Overviews in France, the rise of GEO, and the fragmentation of search intents require a rethinking of the method for qualifying queries. Here, we detail the technical axes that are significantly changing the prioritization of keywords in an SEO strategy.
AI Overviews and the real value of a keyword: map before prioritizing
A high-volume keyword that triggers an AI Overview no longer generates the same click traffic as it did two years ago. Google confirms the deployment of AI Overviews in France for summer 2026, which redistributes the business value of each query.
We recommend segmenting your keyword corpus according to an additional criterion: presence or absence of an AI Overview on the SERP. Pure informational queries (definitions, criteria lists) are the most exposed. For these terms, organic clicks are decreasing, but visibility through citation in the Overview becomes a new lever.
Specifically, this means adding a column to your tracking files. For each target keyword, note whether an AI response appears, if your domain is cited as a source, and if the format of your content (table, structured list, concise paragraph) matches what the Overview extracts. Mastering effective keyword analysis techniques now involves this step of mapping enriched SERPs.
Keywords where no AI Overview is triggered retain classic click traffic potential. These are often transactional or very niche queries. Prioritize these terms if your goal remains direct conversion.
GEO and optimization for generative engines: qualifying intent differently
Generative Engine Optimization changes the way a keyword is qualified. A term relevant in traditional SEO is not necessarily so in GEO, and vice versa. Generative engines (ChatGPT, Gemini, Perplexity) do not rank pages: they synthesize answers by citing sources.
For content to be recognized as a source by a generative engine, the structure of the text matters as much as the keyword itself. We observe that content that answers a specific question in a standalone paragraph (without depending on the context of the entire page) is cited more often.
Keyword analysis must integrate the “citability” dimension: does the targeted term allow for the production of a concise, factual, structured response block? If so, this keyword has high GEO value. If the answer requires a lengthy and nuanced development, the keyword remains relevant for traditional SEO but less so for GEO.
- High GEO citability queries: short comparisons, operational definitions, technical criteria lists with factual data
- Low GEO citability queries: opinion topics, lengthy sector analyses, narrative content without extractable structure
- Mixed queries: step-by-step tutorials, where the generative engine can extract an isolated step while linking to the complete page
Segmentation by transactional intent and internal cannibalization
Most competing articles address search intent in three or four categories (informational, navigational, transactional, commercial). This typology remains useful, but it masks a common problem: cannibalization between pages targeting closely related variants of the same keyword.
Two pages targeting “SEO keyword analysis” and “keyword research for SEO” often compete for the same positions. Before adding a new keyword to your editorial plan, check if an existing page already covers this intent. The Google Search Console tool is sufficient: filter queries by page and identify overlaps.
When two pages are cannibalizing each other, the solution is not always to merge. Sometimes, it is enough to tighten the semantic field of each page. A page focused on “analysis method” and a page focused on “keyword research tools” can coexist if their H2s, named entities, and responses target distinct sub-intents.
Leverage Search Console data rather than estimated volumes
The search volumes displayed by third-party tools are still estimates. We regularly observe significant discrepancies between the volume reported by a tool and the actual impressions measured in Search Console for a keyword already ranked.
Search Console provides three underutilized metrics for keyword analysis: impressions (actual visibility), CTR by position (snippet attractiveness), and queries associated with a given page (semantic field perceived by Google).
By cross-referencing this data, you identify opportunities that classic tools do not show:
- Keywords where your page appears in positions 8 to 15 with a high number of impressions: a gain of a few positions can generate substantial traffic
- Keywords with abnormally low CTR despite a good position: the title or meta description does not match the intent, or a featured snippet captures the clicks
- Unexpected queries that reveal a user need not covered by your current content, signaling the need to create a new page or enrich the existing one
Keyword analysis for SEO is no longer limited to an Excel table sorted by volume and difficulty. The AI Overviews layer, the GEO dimension, and proprietary Search Console data form three complementary filters. A relevant keyword in 2026 is one that retains click value, offers citation potential by generative engines, and whose target page does not cannibalize any other URL on the site.