The visibility of a website in search results depends on factors that Google weighs differently according to its updates. Between the integration of the Helpful Content update at the core of the algorithm and the gradual rollout of the Search Generative Experience, the SEO levers that worked two years ago no longer produce the same effects. What criteria really impact a site’s ranking today, and which ones are losing ground?
Helpful Content and Core Updates: What Has Changed in Google Ranking
The Helpful Content update, integrated into the core of the algorithm in 2024, introduced a clear distinction between content written for search engines and that designed to answer a real user’s question. Google refers to the latter as “people-first” content, focused on expertise and post-click satisfaction.
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Analyses from SISTRIX and Search Engine Roundtable published in 2024 document the consequences: comparison and affiliate sites have experienced measurable declines in visibility during the Core Updates 2024-2025. In contrast, brands with strong authority signals (verified reviews, press mentions, identified author profiles) have progressed in the results.
| Evaluated Signal | Before Helpful Content | After Integration 2024 |
|---|---|---|
| Massively AI-generated content without proofreading | Indexed and ranked normally | Penalized if lacking human added value |
| Identified author profile | Little direct impact | Strengthened trust factor |
| Search engine-oriented content (light keyword stuffing) | Tolerated on low queries | Detected and demoted |
| Verified reviews and press mentions | Complementary signal | Priority authority signal |
This table summarizes a fundamental shift: Google now favors proof of real expertise over mere technical optimization. Well-structured but shallow content is no longer sufficient to maintain positions.
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The resources available on the SEO portal of Blog IT detail how these developments affect natural referencing on a daily basis, from technical audits to editorial strategy.
SEO and Search Generative Experience: Adapting Strategy to Google’s AI Responses
The Search Generative Experience (SGE) changes how results are displayed. Google generates synthetic answers at the top of the page, which reduces the click-through rate on traditional links for certain informational queries.
Transactional or local intent queries resist this erosion better. When a user searches for a provider, a specific product, or a geolocated service, the SGE more often directs to detailed pages rather than providing a standalone answer.
To appear in the snippets generated by Google’s AI, several technical elements matter:
- Structured data (schema.org) helps Google identify the type of content and integrate it into its enriched responses. FAQ, HowTo, or Product markup increases the likelihood of extraction.
- The clarity of the Hn structure allows language models to break down content into usable segments. Each subtitle should correspond to an identifiable question or sub-theme.
- The depth of content on a single topic outweighs superficial coverage of multiple topics. Google favors pages that exhaustively cover a single angle.
Producing “people-first” content is not incompatible with optimization for the SGE. Both rely on the same principle: to accurately respond to search intent before trying to please the algorithm.
Authority Signals and Backlinks: The Visibility Levers That Remain Stable
The popularity of a site, measured notably by its inbound link profile, remains a ranking factor documented by Google. The Core Updates 2024-2025 have not diminished the importance of backlinks, but they have changed how Google evaluates them.
A link from a site with high thematic authority carries more weight than ten links from unrelated sites. Studies by Lilly Ray (Amsive) presented in 2024 show that brands that gained positions after the Core Updates all had diversified link profiles rooted in their sector.
Building a Credible Link Profile
The logic of volume gives way to a logic of relevance. Getting a mention in a trade press article or on a recognized partner’s site provides more signal than an artificial link campaign.
Unlinked brand mentions (citations of the company name without a hyperlink) also constitute a signal that Google can now interpret. Working on online presence broadly, including on professional social networks or verified industry directories, helps strengthen these signals.
AI Content and Natural Referencing: Where to Draw the Line
Google does not penalize the use of artificial intelligence to write content. The official Search Central documentation specifies that it is the absence of human added value that triggers a penalty, not the production tool itself.
The difference lies in three concrete points. Proofread content, enriched with industry-specific examples and signed by an identifiable author, passes the Helpful Content filter. Content published en masse without proofreading, covering topics unrelated to the site’s expertise, will be gradually demoted.
- Each published page must demonstrate verifiable expertise: original data, documented experiences, industry analysis.
- The frequency of publication matters less than the regularity and quality perceived by the user after the click.
- A regular audit of existing content allows for the identification of pages that drag down overall visibility and for their improvement or removal.
Natural referencing in 2025 relies on a balance between technique, content, and authority signals. Sites that progress document their expertise rather than multiplying optimized pages without substance. The most significant data from the past two years remains this: Google updates reward proof of expertise, not the promise of expertise.