Photonics Product Marketing: Has SEO Been Superseded By AI Optimization? And How to Get AI Visibility?

Some observers now speak of AEO (answer engine optimization) as the successor to SEO. The term describes a shift in objective: from being listed near the top of search results to being understood, selected, summarized or cited by AI-based answer systems.

However, it would be misleading to conclude that SEO has become irrelevant. Especially in a technical field such as photonics, AI systems often begin with a web search for useful inputs — not simply looking for certain keywords, but for content that is technically accessible, well structured, trustworthy and semantically clear. That is what high-quality SEO has always tried to achieve. Simple keyword stuffing is something that worked only in the distant past.

Of course, you want this to work reasonably well not only for searches involving your company name, but also for relevant searches by users who do not yet know your company.

In classical SEO of earlier years, a central goal was to rank well for selected search terms (keywords). In AI-based search, the aim is broader: Your products, expertise or brand should become part of the answer when a user asks a technical or commercial question in a relevant context. AI systems do not simply go for pages with the highest density of some keywords. Rather, they search for useful inputs for their answers in more sophisticated ways. For example, they tend to prefer inputs that appear technically competent, comprehensive and trustworthy.

AI optimization should therefore not be understood as a new collection of tricks. In a technical field, the sustainable route is still to provide accurate, well-structured and trustworthy information in useful formats and in places where relevant users and AI systems can find it. By the way, as search engines (Google in particular) have increasingly used AI in the last 10 years, modern SEO is in principle not much different from AI optimization.

Over the last 22 years, RP Photonics has built a large technical information platform in photonics. It offers the highly popular RP Photonics Encyclopedia, various blogs, tutorials and case studies — quality resources in the technical and scientific area. In addition, there is the RP Photonics Buyer's Guide for the commercial side — since 2026 also with comprehensive buyer-oriented information for nearly 800 product categories, explaining what these categories mean, where such devices are used, criteria for selection depending on application areas, etc. This creates a rich context that is highly relevant for both human visitors and AI-assisted discovery.

The strategy of RP Photonics started with SEO, but always with a long-term vision — never seeking quick results by manipulating search engines with tricks, but focusing on high quality. No special redirection of efforts was required in the age of AI. Also consider that Google has long used a lot of AI behind the scenes in its efforts to push back manipulation attempts. The result so far is that ChatGPT alone already loads a page from the RP Photonics platform roughly 350'000 times in a single month, with a clearly rising tendency.

While the approach of RP Photonics has been very successful, it has an obvious and severe disadvantage: It requires not only very special expertise — which itself has grown substantially through this work — but also a huge effort over many years. If you are a photonics supplier, you will easily realize that simply following that path is a strategy requiring a very long breath. You need comprehensive long-term content development, technical optimization, strong topical authority, and thus substantial resources. Usually, marketing people will conclude that this direction is good in principle, but can be followed only with a limited effort, and usually only in a quite limited topical area.

Instead of trying to build similar authority to RP Photonics, suppliers can use a comparatively easy alternative path: publishing their product descriptions on RP Photonics. This is the key feature of the RP Photonics Advertising Package: For every relevant product category, you can publish the following:

• a description — a text that may mention multiple products in a category and can (indeed should) contain links to product-specific landing pages, and
• up to five images or videos (recently expanded from just one image).

You will usually start with existing descriptions from your website, but these can be optimized further — and this can be done with an AI-powered assistant fed with experience from RP Photonics. In contrast, the many other suppliers listed for free do not have these descriptions. Both human users and AI systems would need to load their homepage and search for the relevant web pages there before obtaining information on the relevant products.

In the AI era, such product descriptions, placed in the right context, are more than advertising text. They become structured, technically contextualized information about what a supplier offers: product categories, relevant parameters, application fields, differentiating features and links to more detailed product pages. In addition, RP Photonics presents them as structured data, using schema markup, just as it generally puts great emphasis on structured data.