
An SEO consultant for multimodal search in Valencia helps prepare a website for searches in which the user does not just type a phrase: they combine text, images, visual comparison, AI assistants, Google Lens and generative answers.
The original queue uses the term “pesquisa multimodal”, which is more typical of Portuguese. For Queseo it makes more sense to work the intent in Spanish as “búsqueda multimodal” (multimodal search), without losing the link with SEO for AI and visual search.
This guide explains how Queseo would approach a multimodal SEO strategy: text content, images, entities, structured data, internal links, authority, AI and measurement.
What multimodal search means in SEO
Multimodal search happens when the user relies on several types of signal to answer a question: a product photo, a screenshot, a description, a location, a long question or an AI-assisted comparison.
In Google, this overlaps with Google Images, Lens, rich results, Discover, AI Overviews and AI Mode. In other environments, it relates to assistants that can interpret text and images in the same conversation.
Why it matters for businesses in Valencia
Not every business needs a complex multimodal strategy. But it can add value for ecommerce, fashion, interior design, tourism, healthcare, training, software, industry, architecture, photography, restaurants or brands with important products and visual assets.
In those cases, the user may discover the brand through an image, dig deeper with a question, compare providers and end up asking for a quote. If the website does not connect content, images and entity, it loses context at every step.
The fundamentals: accessible text, links and indexing
The foundation is still SEO. Google’s documentation on AI features in Search states that there are no additional technical requirements to appear in AI features: what matters is crawling, indexing, helpful content, internal links, page experience, images and consistent structured data.
That is why an SEO audit should check whether the important content is in HTML, whether internal links are crawlable, whether images are accessible and whether the page explains entities clearly.
Signals you should not leave to chance
- Main content that is visible and sufficient.
- HTML internal links to commercial and supporting pages.
- Images with context, natural alt text and a useful file name.
- Structured data that matches the visible content.
- Clear authorship, brand, service, location and sources.
- Canonical, sitemap and robots with no accidental blocks.
Images, Lens and visual assets
Visual search is an obvious part of multimodality. The user may search for a garment, a piece of furniture, a dish, a technical product or a place from an image. If the landing page does not help to interpret the image, that traffic is unlikely to convert.
The guide to image SEO in Valencia covers file names, alt text, context, file size, structured data and measurement. The Google Images documentation reinforces the need to use accessible assets and useful landing pages.
Entities and context for AI engines
Generative engines need to understand who offers the service, what problem it solves, where it operates, what experience it has, what sources back it up and how the pages relate to one another. Repeating keywords is not enough.
The cluster made up of SEO consultant for AI in Valencia, artificial intelligence for SEO, SEO for LLMs, SEO for ChatGPT and GEO helps to work on that layer: entities, mentions, structure, citable content and measuring visibility in generative environments.
Multimodal structured data
Structured data is not a magic layer, but it helps to explain the content when it matches what is visible. In articles, products, services, images or FAQs, the markup should describe real, up-to-date information.
For visual assets it may make sense to review ImageObject, Product, Organization, LocalBusiness or Article depending on the case. What matters is that the image, the entity and the landing page tell the same story.
Ecommerce, fashion and interior design as clear cases
In ecommerce, fashion and interior design, users compare visually before buying. They may arrive from Google Images, search with Lens, ask about materials, look for alternatives or compare styles. The website needs solid categories, complete product pages, useful images and content that answers questions.
This is where guides such as SEO for ecommerce, product page optimisation and content on SEO with AI come in, when AI is used to enrich real data without inventing attributes.
Content ready for complex queries
Multimodal queries tend to be richer than a short keyword. The user may ask “what kind of material is this”, “where can I buy something similar in Valencia”, “which alternative suits this space best” or “which product looks like this reference”.
Content should anticipate decision criteria: uses, materials, compatibility, comparisons, limitations, examples, frequently asked questions and links to commercial pages. It is not about writing more, but about covering what helps people decide.
Internal linking to connect signals
Google recommends that links be crawlable and useful. In a multimodal strategy, internal links connect images, guides, categories, services and decision pages so that authority is not left isolated.
The guide to Google SEO in Valencia and the documentation on crawlable links are useful reminders of the basics: a clear contextual link is usually worth more than an artificial block of related reading.
Measuring multimodal search
Measurement combines Search Console, traffic by search type, pages that receive visual impressions, assisted conversions, branded queries, image performance, clicks on supporting content and visibility in AI environments where it can be monitored.
Multimodal search should not be sold as a promise of immediate traffic. It is a strategic layer for sectors where image, context and decision-making are increasingly intertwined.
When to talk to Queseo
If your business depends on products, images, comparisons, AI or visual content, it is worth checking whether your website is ready for searches that are more complex than the traditional keyword.
At Queseo you can work with an SEO consultant in Valencia to connect content, images, entities and measurement in a more complete organic strategy.
Frequently asked questions about multimodal SEO
Does multimodal search mean ranking images?
It includes images, but it is not limited to them. It also covers text, entities, context, AI, links and landing pages.
Do you need special technology?
Not usually at first. The first step is to have accessible content, useful images, consistent data, internal links and pages that respond well to the intent.
Which sectors should review it first?
Ecommerce, fashion, interior design, tourism, hospitality, healthcare, visual industries, software with screenshots and brands with a lot of graphic content.
How is it measured?
With Search Console, image traffic, queries, landing pages, assisted conversions, content performance and tracking of AI visibility when reliable tools are available.



