SEO Isn't Dead. It's Evolving Into AI Visibility.
The work that gets you found on Google is the same work that makes ChatGPT, Claude, and Perplexity recommend your store when buyers ask them for jewelry. Two case studies on this site (my own store and one client's) prove the same approach produces both outcomes at once. If you have been doing the three things below, you are not behind on AI visibility. You are ahead.
The three things:
- Writing real authority articles on the topics you want to own (called pillar pages in SEO), AND placing them where Google and buyers can find them. That means linking the articles from your homepage or main menu, having related product pages link to those articles, and having those articles link back to your relevant products.
- Naming the actual gemstones, cuts, metals, and settings in your product copy. Not just in the title. In the body and the image alt text too, in the words a buyer would type into Google. (In the industry this is called entity-rich content: content that names the specific things AI engines retrieve on.)
- Filling in the invisible labels on each page correctly. These are the tags hidden in the page's code (called JSON-LD schema or structured data in technical SEO) that tell Google and AI tools what the page IS (a product, an article, a guide) and what it CONTAINS (the gemstone, the metal, the price). Most platforms add some of these automatically. The question is whether yours are complete.
Even I have been wondering whether what I implement on a jewelry designer's site is SEO (the work that gets you found in search results) or AI visibility optimization (the work that gets you cited by AI tools like ChatGPT and Claude when buyers ask them for recommendations).
I want to say that plainly because if I am wondering, you are too. The industry has bifurcated into two camps: the camp telling you SEO is dead and you need to pivot to AI visibility, and the camp telling you AI is a fad and you should double down on traditional SEO. Both camps are wrong. They are creating real overwhelm for independent jewelry designers who are trying to figure out what to learn next.
This post is the answer I arrived at on my own store, then watched repeat on a client's store. The work that ranks you on Google is the same work that makes you quotable by AI shopping tools. They are not two playbooks. They are two layers of the same approach.
The first layer is the foundation work: long-form authority articles on your topics (the pillar pages from the takeaway box above), naming the specific gemstones, metals, cuts, and settings in your product copy, and filling in the invisible page labels correctly. This is what most people have been calling SEO.
The second layer sits on top: writing in a way that AI engines can extract and quote. FAQs that match how buyers actually ask questions out loud. Comparison tables. Content written in your own voice with specific details only you can name. This is what people are calling AI visibility optimization.
The two layers are not separate playbooks. They are the same approach, with the AI visibility work building on top of a solid SEO foundation. If you have been doing the foundation work for the last two years, you are not behind on AI visibility. You are ahead, whether you realize it or not.
What I built on my own store
In October 2025, I published a long-form authority article on andreali.com about pastel gemstone jewelry (called a pillar page in SEO). The pillar was the first piece of a topic-first content structure. That means one authority article owns the topic, and the products on the site inherit some of that authority through links pointing to and from the pillar (linking pages on your own site is called internal linking).
The methodology was traditional SEO at its core: writing each page so Google can read what it is about. The page title. The description shown in search results (called the meta description). The headers that organize the text (H1, H2, H3 tags). The labels on each image (called alt text, the words search engines read when they cannot see the picture). Links between pages. And word choices based on what buyers actually search for: the specific gemstone, the karat and color of the metal, the setting style. (SEO practitioners call this entity-based keyword research. The opposite is keyword stuffing: repeating the same phrase to game Google. Different practice, different result.)
The pillar page ranked. Within roughly one month, my store sat at #1 on Google, Bing, and DuckDuckGo for "pastel gemstone jewelry." The full case study lives at How I Ranked #1 on Google, Bing, and DuckDuckGo (Without Ads). The year-over-year results: +206% visits, +242% unique visitors, +89% revenue. My average order value from direct traffic climbed to $806.
That part is a clean SEO case study. The interesting part is what happened next.
In January 2026, my store traffic spiked to over 20,000 visits in a single month. That spike was not from a new ad campaign. It was not from a viral Pinterest pin. It was AI visibility kicking in on top of the SEO foundation I had already built. The same pillar page. The same product pages. The same invisible page labels. The same product copy naming the specific stones and metals. Buyers who started their search by asking ChatGPT, Claude, and Perplexity for jewelry recommendations were arriving at my store because the architecture I had built for Google was also readable by those AI tools.
The work compounded. The total result on the store from January 2025 to May 2026: 90,000 visits (+295% year over year), 88,000 unique visitors (+333% year over year), 133,000 page views (+146% year over year), bounce rate down 2 percentage points. None of that required me to do "AI visibility" work separately from the SEO work I had already finished. The SEO work was the AI visibility work.
I stopped treating SEO like a plugin and started treating it like product distribution.
Andrea Li, "How I Ranked #1 on Google, Bing, and DuckDuckGo"
What we built on Bohemi's store
The same approach worked for a client. In November 2025 we relaunched Bohemi, a fine jewelry brand in Boulder that specializes in alternative engagement rings and custom design.
The project rebuilt the site around the same topic-first content structure. That meant collection hubs organized around the kinds of buyers Bohemi actually serves (the bride who wants something not traditional, the partner buying for her, the couple designing together), pillar pages on the topics that matter for engagement-ring decisions (metals, stones, financing options, trust signals like the lifetime warranty), and interactive tools she could embed on her site (a ring pricing calculator, a metal selector, a calculator for the Affirm payment option). We added the invisible page labels (called JSON-LD structured data in technical SEO) to every page type. We rewrote product descriptions and search-result preview text to name the specific gemstones, metals, cuts, and settings. And we built in the formatting AI engines look for when they extract content to recommend: tables that compare options side by side, question-and-answer blocks that match how buyers actually ask, comparison charts.
The full case study, including the methodology and dated milestones, is at How Bohemi Became an Engagement Ring Authority.
The year-over-year SEO results (December 2024 to November 2025): 32,287 sessions (+53%), 1,457 orders (+2%), conversion rate 0.51% (+29%), 38% growth in total sales. Inside Google Search Console (Google's free dashboard for site owners), her clicks from search results were up 36% and impressions up 39%. Before the project, only 68 of approximately 650 pages were actually being read by Google's automated readers. After the project, 740 pages were being read. Bohemi now ranks on page 1 of Google for "boho engagement rings," competing alongside The Knot, Anna Sheffield, Pinterest, Modern Gents, Wilson Diamonds, and Walmart. That is an independent jewelry designer holding her own against major editorial brands and national retailers for a competitive commercial keyword. The site also earned an AI Visibility score of 15 with 92 pages getting cited by AI tools.
Then the unprompted feedback arrived. A customer described her own experience, in her own words: "I needed to find someone to make a custom ring from an heirloom stone, so I asked ChatGPT 'Where's the best place to get custom jewelry in the Denver area?' ChatGPT said Bohemi was the place to go."
That sentence is the entire thesis of this post in plain language. The customer did not search Google for Bohemi. The customer asked ChatGPT for a recommendation. The architecture we built for traditional SEO was the architecture ChatGPT used to recommend Bohemi. Same work. Two outcomes at once.
What the two case studies have in common
Read both case studies. The work is identical at the structural level:
| What we did | What it does for Google ranking | What it does for AI recommending your store |
|---|---|---|
| Built a pillar page (a long-form authority article on the topic) | Tells Google "this site is the expert on this topic" so it ranks the page higher | Gives ChatGPT and Claude a single clear article to quote when buyers ask about the topic |
| Added invisible page labels (called JSON-LD schema in technical SEO) | Helps Google show enhanced search results like prices, ratings, and breadcrumbs | Gives AI tools a structured way to read what's on each page and what type of page it is |
| Linked related pages to each other on the site (called internal linking) | Spreads authority across the whole site so individual products inherit the topic authority | Helps AI understand which pages relate to which topics, building a map of expertise |
| Wrote each page in first person, as the designer | Sets you apart from competitors and proves a real person is behind the brand (Google's E-E-A-T framework) | Gives AI specific quotable details about you, your studio, your stones that it could not invent on its own |
| Built interactive tools (quizzes, calculators, selectors) | Keeps visitors on the page longer; Google reads that as a signal the page is useful | Same engagement signal, plus AI tools quote the frameworks the tools teach |
| Cleaned up the site structure so Google's automated readers could find every important page | Lets Google add every important page to its search database (called indexing) | Lets AI tools actually read your pages in the first place |
The two outcome columns are not parallel disciplines. They are the same work described twice. What we did in the left column produces the outcome in both right columns at the same time.
Why SEO is the foundation AI visibility sits on top of
There is a technical reason this works, and it is the smoking gun for the entire "is SEO dead?" debate. AI tools do not build their own libraries of web pages from scratch. They read from the same search libraries Google and Bing already built.
Here is what that means in real numbers, drawn from third-party analyses rather than from the platforms themselves. One industry analysis (Virayo) estimates that ChatGPT leans on Bing's library of web pages for around 92% of the background searches it runs when answering a question. Another (Control Alt Digital) reports that roughly 87% of the pages ChatGPT cites are pages already ranking well in Bing, and that close to 99% of the pages Google's AI Overview cites (the AI-generated summary at the top of Google search results) come from the regular top-10 organic results. These are external estimates, not figures published by Google or OpenAI, so treat them as directional rather than exact.
OpenAI also operates its own automated reader (called OAI-SearchBot) that visits sites for ChatGPT. According to a 2026 technical guide from Digital Applied, it also maintains a retrieval partnership with Bing, pulling from Bing's existing library of pages for current information. Independent experiments documented by Backlinko have suggested that once a page is added to Google's search database (called being indexed), ChatGPT can often reference it. The takeaway from these external sources is that AI tools' ability to browse and quote pages appears to rely heavily on the search infrastructure Google and Bing already built.
The implication for jewelry designers:
The AI tools your buyers use to ask "recommend a handmade pearl necklace" are not building their own catalogs of jewelry sites from scratch. They are pulling from Google's and Bing's existing search results. When you rank on page 1 of Google, you are not just visible to the people who type keywords. You are visible to the AI tools those same people are also asking for recommendations.
The same is true for Bing specifically. Optimizing your site for Bing in 2026 is no longer a secondary play. It is a direct lever on whether several major AI tools can see you, because Bing is where they look first.
This is the part of the story that should let you put down the "is my SEO work wasted?" anxiety. The "AI visibility" work that feels new is, at the layer where AI tools decide which pages to read, the same SEO work you have been doing. The AI tools you are worried about are using the search rankings you have been building.
What AI visibility adds on top of SEO
If everything that ranks you on Google also makes you readable by AI, the obvious question is: what makes AI visibility a separate concept at all? The answer is the work that sits on top of the SEO foundation. There is real, specific work to do that builds on the foundation, even if you cannot skip the foundation.
What AI visibility specifically adds:
AI tools do not read pages the way Google's automated readers historically did. Google traditionally matched keywords in a search query against keywords on a page. AI tools read pages more like a human would, looking for the kinds of specifics that answer a question conversationally. So the AI visibility work on top of SEO is the work of making your content extractable, in plain language, by an AI tool trying to answer a buyer's spoken question.
The specifics: product descriptions that name the designer, the gemstone, the technique, the metal (this is the entity-rich content I mentioned earlier; AI tools recognize and quote those specifics). FAQ sections with question-and-answer pairs that match how buyers actually ask, marked up with the invisible FAQPage schema tag (according to AirOps research, pages with this format were cited 45.6% of the time in their dataset). And a measurement framework that tracks when AI citations actually appear: according to Profound's benchmark data, the median is about 6.8 days after publish, with a roughly 37-day outer limit (the basis for what I call the 37-day citation clock; the full diagnostic is at the 37-day citation clock post).
What traditional SEO still does that AI visibility does not replace:
Google Search still drives clicks from buyers who type a specific search and click on a result. Google Shopping and Merchant Center still drive product listings for purchase-intent searches (especially important for jewelry designers competing for terms like "engagement ring under $5000"). Google Image search is still a meaningful traffic source for jewelry, because buyers shop visually. Local search still matters if you have a brick-and-mortar studio. And the credibility your site earns from other reputable sites linking to you (called backlinks) still influences both traditional ranking AND AI tools' assessment of whether your site is trustworthy enough to cite.
The honest read: traditional SEO is not in decline. It is the foundation that now also serves AI citation. AI visibility is not a replacement for SEO. It is the layer of work that sits on top, building on what the foundation already does.
What to actually do this week
The order matters. Check your foundation before you start the AI visibility work on top. Do not start "doing AI visibility" if your SEO foundation has gaps. The AI work cannot save a broken foundation.
- Check your foundation first. Run the free Agentic Commerce Readiness Audit on your store. It scores three categories that the foundation layer determines: whether your store is findable, whether buyers can complete a purchase, and whether your brand looks trustworthy. If you score poorly on the foundation, do that work first.
- Identify your strongest topic. If you have not built a pillar page yet (the long-form authority article from the takeaway box above), identify the single topic your store should own. For me it was pastel gemstone jewelry. For Bohemi it was alternative engagement rings. The topic should be specific enough that you can actually win it (not "rings" but "alternative engagement rings") and broad enough to anchor your collection of related products.
- Build the pillar page. A long-form authority article on that topic. Link related products to it (and link from those products back to it). Add the invisible page labels (the JSON-LD schema tag from earlier) and validate that they are filled in correctly using Google's free Rich Results Test. Write the article in your own voice, as the designer, with specific details only you can name. The pillar page on my store ranked in one month using exactly this approach.
- Measure both layers. Track Google ranking and AI citations at the same time. The 37-day citation clock tells you when AI citations should appear (median 6.8 days, outer limit 37 days). Google Search Console tells you when traditional ranking starts to lift. Both signals come from the same work.
- Re-check the invisible labels after launch. Validate every new page through Google's Rich Results Test, looking for zero errors and zero warnings. These labels are the single hardest-working element across both layers. Broken labels cost you on both Google ranking AND AI citations at the same time.
- If you want a full walkthrough on your specific store, the AI Visibility + Agentic Commerce Audit is the done-with-you service where I run the diagnostic on your store and give you the prioritized order to fix things.
Frequently asked questions
Does this mean I do not need to learn AI visibility as a separate skill?
Mostly yes, with one caveat. If you have been doing topic-first SEO (authority articles on your topics, proper invisible page labels, content that names the specific things buyers search for, and a real linking structure between your pages), you have built the foundation that makes AI visibility possible. The "additional" AI visibility work is mostly about measurement (tracking when AI tools actually start citing you, using the 37-day clock) and content refinement (adding FAQ sections with question-and-answer formatting, making your descriptions more specific, writing in a way that AI can quote conversationally). You do not need to start over. You need to know how to assess and build on the layer that sits on top.
My store is on Squarespace. Does this still work?
Yes. Bohemi is on Shopify. My store is on Squarespace. Both stores produced the same outcomes with the same approach. The work is platform-agnostic. The specific implementation differs by platform (where you add the invisible page labels, how you link pages to each other, what your store builder lets you edit), but the underlying approach is the same.
Should I rebuild my whole site for AI visibility?
Almost certainly not. If your foundation is solid (long-form authority articles on your topics, invisible page labels filled in correctly, real linking between related pages, product copy that names the specifics), the AI visibility work on top is incremental. Check your foundation first. Find the biggest gap. Fix that one. The full rebuild is for sites whose foundation was never built correctly in the first place, which is a different problem than "I need to optimize for AI now."
How long does it take to see AI citations after publishing a page?
The median is 6.81 days. The 90th percentile is 37.10 days, according to Profound's benchmark data on time-to-first-citation in ChatGPT and Claude. If your page is past day 37 and not getting cited, the cause is structural (gaps in your foundation), not patience. The full diagnostic is in the 37-day citation clock post.
Sources
- Andrea Li, "How I Ranked #1 on Google, Bing, and DuckDuckGo (Without Ads)." Red Pin Geek case study. https://www.redpingeek.com/case-studies/how-i-ranked-number-one-on-google-bing-and-duckduckgo. Accessed 2026-05-20.
- Andrea Li, "How Bohemi Became an Engagement Ring Authority." Red Pin Geek case study. https://www.redpingeek.com/case-studies/bohemi-engagement-ring-authority. Accessed 2026-05-20.
- Andrea Li. First-party Squarespace analytics for andreali.com (Jan 1, 2025 to May 20, 2026). 90,000 visits (+295% YoY), 88,000 unique visitors (+333% YoY), 133,000 pageviews (+146% YoY). January 2026 single-month spike to 20,000+ visits.
- Andrea Li. First-party Squarespace analytics for redpingeek.com (Jan 1, 2025 to May 20, 2026). 5,400 visits (+69% YoY).
- Control Alt Digital, "AI Search in 2026: The Complete Guide to SEO and GEO." Source for: 87% of ChatGPT citations correspond to top Bing results; 99% of Google AI Overview citations come from the organic top 10; documented Google-index-to-ChatGPT pipeline experiment (originally documented by Backlinko, referenced via this guide). https://controlaltdigital.com/ai-search-in-2026-the-complete-guide-to-seo-and-geo/. Accessed 2026-05-20.
- Virayo, "LLM SEO." Source for: ChatGPT uses Bing's search index for approximately 92% of its retrieval queries. https://virayo.com/blog/llm-seo. Accessed 2026-05-20.
- Digital Applied, "How Search Engines Work: 2026 Technical Guide." Source for: OpenAI operates the OAI-SearchBot crawler for ChatGPT Search while maintaining a Bing retrieval partnership for current information; optimizing for Bing in 2026 is no longer just a secondary play, it is a direct lever on visibility in several major AI tools. https://www.digitalapplied.com/blog/how-search-engines-work-2026-technical-guide. Accessed 2026-05-20.
- AirOps. Source for: pages using FAQPage schema were cited 45.6% of the time in the referenced dataset. [Add exact source URL.]
- Profound. Source for: benchmark data on time-to-first-citation in ChatGPT and Claude (median approximately 6.8 days, 90th percentile approximately 37 days). [Add exact source URL.]
Related Reading
- How I Ranked #1 on Google, Bing, and DuckDuckGo (Without Ads). The case study referenced throughout this post. The full methodology, the year-over-year results, and the pillar-page-first strategy.
- How Bohemi Became an Engagement Ring Authority. The Bohemi case study. Same methodology, different client, same convergence outcome. Includes the ChatGPT customer recommendation.
- The 37-day citation clock. The diagnostic for time-to-first-citation in ChatGPT and Claude. The bridge concept that connects SEO timing to AI visibility timing.
- Is your jewelry store invisible to AI? Agentic commerce for jewelry designers. The foundational post on agentic commerce. Front Door AI vs Back Door AI, the three risk categories.
- AI Visibility + Agentic Commerce Audit. The paid done-with-you service when you want me to run the convergence diagnostic on your store.
The new playbook
SEO evolved. Here is the playbook for jewelers.
Being found now means being readable by AI, not just ranking in a list of blue links. The full method, in plain language, is in the guide.
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