Search Engine Journal has published an industry-focused article arguing that agencies may be using outdated success metrics as AI-powered search and answer engines become more important. The core point is that measuring only keyword rankings, or even counting AI citations, may not show how visible a business really is in AI-driven discovery environments.

What happened

The source article argues that agencies should expand how they evaluate online visibility as search behaviour evolves. Instead of focusing mainly on traditional rankings, it proposes additional ways to assess whether a business appears meaningfully in AI-generated answers.

According to the article, useful measures may include whether a brand is included in AI responses, how it is framed when mentioned, and whether the response amounts to a form of endorsement or recommendation. This is presented as a strategic shift for agencies preparing client reporting and SEO services for the coming years.

These are industry recommendations rather than a regulatory change or a confirmed platform rule change. The source is making an argument about how agencies and brands should adapt their measurement models as AI search tools gain influence.

Why it matters for European businesses

For European SMEs, e-commerce businesses and B2B service providers, the practical issue is straightforward: customers may increasingly discover suppliers through AI-generated answers rather than through a list of blue links alone. If that behaviour grows, a company could hold reasonable search rankings while still being underrepresented in AI-assisted discovery.

This matters in several ways:

• Marketing reporting may need to change. Businesses working with agencies may need broader KPIs than ranking position, impressions and click-through rates.
• Brand presentation becomes more important. In AI-generated results, it may not be enough to be mentioned. The way a company is described could influence trust, lead quality and conversions.
• B2B buying journeys may become less linear. Buyers using AI assistants to compare vendors could receive condensed recommendations that reduce direct website visits in early research stages.
• Content strategy may need adjustment. Companies may need clearer product, expertise and trust signals so AI systems can interpret their offering accurately.

For digital agencies in Europe, the article is also commercially relevant because clients may increasingly ask not only, “What do we rank for?” but also, “How do AI systems talk about our business?”

Who may be affected

• SMEs that depend on organic search for lead generation or local market visibility
• E-commerce companies whose products may be surfaced through AI-assisted shopping or comparison journeys
• B2B firms that rely on category authority, expertise and brand trust during long buying cycles
• Marketing teams and agencies responsible for SEO reporting, content strategy and performance measurement
• IT and web teams supporting structured content, site performance and technical foundations that affect discoverability

What companies should consider

While the source does not establish a formal industry standard, it does point to practical areas businesses can review now.

• Review SEO KPIs. Consider whether reporting depends too heavily on rankings alone. Businesses may want additional measures related to AI-driven brand mentions, consistency of positioning and referral impact.
• Audit how the brand is described online. Check whether product pages, service pages, case studies and company profiles clearly explain what the business does, for whom and why it is credible.
• Strengthen evidence-based content. Clear expertise signals, transparent company information, specific service descriptions and well-structured website content may improve how systems interpret the business.
• Test AI discovery journeys. Marketing teams can examine how major AI-assisted search or answer tools describe their company, products and competitors, while recognising that outputs may vary over time.
• Align agency and client expectations. Agencies should explain that AI visibility is not identical to traditional SEO visibility and that reporting models may need to evolve.

For European businesses, the broader takeaway is not that classic SEO has become irrelevant, but that visibility may need to be assessed across both traditional search and AI-generated discovery environments. Companies that rely on digital lead generation should watch this shift closely, especially if AI search begins to influence how prospects shortlist vendors and evaluate brands.