Creating a high-performing website involves more than choosing a template and publishing a few pages. Performance is now measured against specific technical criteria, and attracting visitors depends on combining those criteria with a coherent content strategy. With recent changes to the signals Google takes into account and the rise of AI-generated summaries in search results, the goalposts have shifted.
INP and Core Web Vitals: what Google has actually measured since March 2024
Since March 12, 2024, Google has replaced FID (First Input Delay) with INP (Interaction to Next Paint) in its Core Web Vitals. This change affects how a website’s responsiveness is evaluated.
FID measured only the delay before the first interaction. INP, by contrast, evaluates responsiveness throughout the visit: clicks, key presses, and keyboard interactions. A site can load quickly and still receive a poor INP score if its buttons, menus, or forms respond slowly after the initial load.
| Metric | FID (previous) | INP (current) |
|---|---|---|
| Measurement scope | First interaction only | All interactions during the session |
| What is evaluated | Delay before the first click is processed | Delay between each interaction and the visual update |
| Impact on diagnosis | Hides slowdowns after the page loads | Reveals slowdowns on interactive pages |
| Pages most affected | Simple pages (little difference) | Pages with forms, filters, and shopping carts |
Testing only how quickly a homepage appears is no longer enough. You need to analyze the pages visitors actually use—the ones where they click, apply filters, or fill out a form. On these pages, INP can make the difference between a site that feels responsive and one that feels slow.
One point to keep in mind: Google says its ranking systems use Core Web Vitals, but good scores do not guarantee top rankings. Technical performance improves the user experience, which can indirectly benefit SEO. It does not replace a content strategy.
Content and traffic: why quantity alone no longer works
Publishing regularly remains an effective way to attract visitors, but producing content at scale carries a real SEO risk. In March 2024, Google introduced a policy against scaled content abuse—content produced at scale without adding value. Sites that publish large volumes of generic articles, whether AI-generated or not, risk being penalized.
The goal for a website looking to attract visitors online is not to publish more, but to publish better. An article that answers a question precisely, with verifiable information and a practical angle, generates more lasting traffic than a dozen superficial pages. Specialist agencies such as the one behind Datta’s website take a structured approach, combining technical audits with an editorial strategy tailored to each project.
Content penalized by Google can lead to a drop in rankings across the entire domain, not just the page in question. The filter affects the site’s overall reputation.
What makes content generate lasting traffic
- A clearly identified search intent: each page targets a specific question or need, not just an isolated keyword
- Information readers won’t find by browsing the top three Google results, whether it’s a technical perspective, a documented case study, or comparative data
- A structure that makes it easy to scan: descriptive subheadings, short paragraphs, and formatting that draws the eye to key information
- Regularly updating existing pages instead of piling up new ones that compete with one another
AI summaries in Google results: track conversions, not rankings
AI-generated summaries in search results (AI Overviews) are changing the relationship between rankings and actual traffic. A site can appear on the first page without users clicking through because the answer is displayed directly in the search result.
This makes traditional metrics less reliable. Impressions and rankings no longer reflect the actual number of visitors arriving at a site. Tracking your position in Google alone gives you a distorted picture of performance.
For a website focused on customer acquisition, the most relevant metric is conversion tracking: completed forms, calls generated, and purchases made. An article that attracts fewer visitors but converts better is more valuable than a high-traffic page that prompts no action.
Adapting your content strategy to AI Overviews
The content most affected by this trend consists of short, factual answers: definitions, simple lists, and standalone statistics. Google can easily extract these to populate its summaries.
Content that continues to generate clicks offers analysis, a detailed comparison, or a methodology that a summary cannot reproduce in just a few lines. Content rich in context is more resistant to automated extraction than purely informational content.
Technical performance and editorial strategy: two levers to align
A technically fast site with no relevant content won’t attract visitors. A site full of articles but slow and poorly structured will lose readers before they’ve read a single line. These two dimensions work together.
- Audit Core Web Vitals (LCP, CLS, INP) on high-priority pages, not just the homepage
- Identify the pages that generate conversions and prioritize technical optimization efforts on those pages
- Plan content production around documented search intent, making sure each new page offers distinct value compared with existing pages
A website’s performance is reflected in its conversions, not just its PageSpeed score. A good technical score creates the conditions for a good user experience. Content turns that experience into repeat visits and measurable actions. Treating the two separately is like optimizing an empty store or filling a store whose door is stuck.
