What’s moving the needle in Ecommerce SEO & AI Search in 2026 - Belgrade SEO

Transcript

1. Winning Ecommerce SEO in the Age of AI Search By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
2. Welcome to the state of Google’s Ecommerce SERPs in 2026, powered by AI Overviews, Product Packs and Ads By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
3. The rise of AIOs, SERP features, and ads in Ecom SERPs over the past year has been dramatic Top 5K Jeans Queries Top 5K Headphones Queries Similarweb
4. As well as the increase of use of AI platforms within shopping journeys https://www.similarweb.com/corp/the-state-of-ecommerce-2026/
5. But retailers still get a fraction of their traffic from AI platforms vs traditional search engines Similarweb
6. Most online stores get under 5% of revenue from AI platforms, vs +40% from traditional search https://hub.seofomo.co/surveys/ecommerce-seo-survey/
7. This is because AI is concentrated in the middle of the journey and search spans it https://www.similarweb.com/corp/the-state-of-ecommerce-2026/
8. AI has added a new layer to the shopper journey, making it to be even more fragmented https://www.similarweb.com/corp/the-state-of-ecommerce-2026/
9. AI also acts as a decision engine, being both a branding & performance channel, now allowing to buy directly without referring users By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
10. With the new Universal Cart & AI Mode checkout integration, including agentic features, current Google users won’t even need to leave to buy https://blog.google/products-and-platforms/products/shopping/google-shopping-cart/
11. This is why is so hard to measure AI's real impact on ecommerce: Its influence extends beyond the traditionally tracked session https://www.similarweb.com/corp/the-state-of-ecommerce-2026/
12. That’s today’s biggest search challenge: Visibility, attribution and trust, as AI keeps clicks https://hub.seofomo.co/surveys/state-ai-search-optimization/
13. It’s also one of the reasons why SEO remains critical: most shopping journeys combine both AI with traditional search By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
14. LLMs Answers As well as AI answers relying on grounding when current, factual info is needed, meaning SEO is also vital for it Pre-training Data For General knowledge Publicly available text (websites, books, papers, code, forums, etc.) and licensed/curated data, until the model’s knowledge cutoff date. By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Retrieval / Grounding Data For dynamic, factual queries In “search mode” (like ChatGPT’s browsing) the model goes beyond static memory, retrieving real-time external information using it as grounding to produce more accurate, up-to-date answers.
15. Google AI Shopping & agentic integration also rely in ecom SEO principles https://www.aleydasolis.com/en/search-engine-optimization/ugc-agentic-commerce-seo/
16. So, good SEO is good GEO. But what about key AI shifts: journey behavior & traffic loss? https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
17. What can we learn from the brands winning across Ecommerce in AI search search in Serbia? Similarweb
18. Let’s go through what’s moving the ecom AI search needle based on top performers and what specialists shared in the State of AI Search Optimization Report https://hub.seofomo.co/surveys/state-ai-search-optimization/
19. AI SEARCH VISIBILITY 1. Stop tracking rankings, direct AI traffic & conversions and start measuring AI presence, readiness and business Impact BRAND RECALL DIRECT CLICK CHECKOUT & AGENTIC COMMERCE AI SEARCH TRAFFIC DECISION IN AI PLATFORM PURCHASE IN AI PLATFORM INDIRECT & MULTI-TOUCH WEBSITE VISIT AI SEARCH REVENUE By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO OFF PLATFORM INFLUENCE
20. The AI traffic and revenue shown in your analytics is the floor, not the ceiling Google Analytics 4
21. Instead, measure AI search across 3 layers: Presence, Readiness & Business Impact Metric Layer Why it matters KPI Roles 1. Presence Are you actually appearing, and how? Replaces traffic-only thinking with visibility and representation measurement Visibility KPIs Optimization and monitoring 2. Readiness Are you structurally prepared be surfaced? Explains why visibility is weak, strong, or unstable; the diagnostic layer Diagnostic KPIs Diagnosis and prioritization Connects AI search activity to commercial outcomes without overclaiming attribution Outcome KPIs Executive reporting and decision-making 3. Business Impact Are visibility and readiness translating into value? to By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
22. Start by monitoring AI presence: Is the brand shown in the answers that matter, and how is it represented when it does? By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Presence KPIs Question it answers How to calculate 1. Prompt coverage Are we showing up where we need to? Prompts where brand appears ÷ total tracked prompts 2. Recommendation rate Are we being endorsed, or just included? Appearances where AI explicitly recommends ÷ appearances 3. Linked citation rate Is this visibility capable of driving visits or purchases? Appearances with a clickable link ÷ appearances 4. Comparative win rate Are we winning the shortlist when users compare options? Comparison prompts won ÷ comparison prompts where brand appears 5. Representation accuracy Are we being understood properly, or misrepresented? Factually correct appearances ÷ appearances
23. Constraint / dimension Track presence creating prompt libraries that reflect purchase decisions across the ecom customer journey for product lines & ICP By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Pattern Example prompt Category Specific product/subvertical “Best sites to buy running shoes online in the US?” Use case Purchase situation “Best running shoes for beginners training for a 10K?” Attributes Fit, specs, material, ingredients “Best non-comedogenic moisturizers for oily skin?” Price Budget / value / premium “Best wireless headphones under $150?” Trust Safety, authenticity, warranty, returns “Is Back Market reliable for refurbished iPhones?” Logistics Shipping, stock, delivery, returns “Where can I buy a dishwasher with delivery this week?” Comparison Retailer / product / brand shortlist “Amazon vs Walmart for buying baby products online?” Market Country / language / local availability “Best online fashion stores in Spain with easy returns?”
24. The core principle: representative doesn’t mean exhaustive, prioritize top 2-3 platforms, adding realistic buying constraints https://www.aleydasolis.com/en/ai-search/ai-search-prompt-library/
25. I’ve created a Representative AI Search Prompt Library Workbook to help you do it https://www.aleydasolis.com/en/ai-search/ai-search-prompt-library/
26. Then you can measure your brand AI presence for them using these 5 KPIs for key questions AI Presence KPIs What it measures Prompt coverage Are we showing up where we need to? Measures whether the brand appears at all across the prompts that matter. Recommendation rate Are we being endorsed, or just included? Measures whether the brand is actively recommended when it appears, rather simply mentioned in a list or cited in passing. Linked citation rate Is this visibility capable of driving visits or purchases? Measures how often the brand is not only mentioned but also cited with a link or linked source. than clickable Comparative win rate Are we winning the shortlist when users compare options? Measures how often the brand is framed as the stronger or preferred option in prompts where multiple brands are evaluated against each other. Representation accuracy Are we being understood properly, or misrepresented? Measures whether the brand is described correctly when it appears: what it does, who it is for, and why it is relevant. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
27. AI Presence KPIs Each AI search presence KPI should help to understand your AI readiness / optimization efforts What to learn / action Prompt coverage Shows whether the brand appears at all where it matters; low values point to visibility or distribution gaps Recommendation rate Shows whether the brand is actively endorsed; low values often point to trust, corroboration, or differentiation gaps Linked citation rate Shows traffic opportunity, not just awareness; low values often point to extractability or page-structure gaps Comparative win rate Shows whether the brand is framed as the stronger option; low values often point to positioning or proof gaps Representation accuracy Shows whether the brand is being described correctly; low values point to entity clarity or consistency issues https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
28. You can measure & calculate these with any AI tracker. Here’s how it’s done for ecommerce https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
29. After presence, you should assess readiness to explain the structural optimization reasons behind your AI visibility gaps https://www.aleydasolis.com/en/ai-search/ai-search-winning-brands-characteristics/ Weak category visibility often points to Corroborated, Differentiated, or Useful gaps Weak recommendation rate often points to Credible, Corroborated, or Differentiated gaps Poor representation accuracy often points to Recognizable or Consistent gaps Weak commercial visibility often points to Transactable, Extractable, or Useful gaps
30. Assess & measure 10 key AI readiness characteristics by asking these questions Accessible Useful Recognizable Extractable Consistent Can the relevant pages be reached and fetched reliably by AI crawlers? Does the content solve the user need competitively — better than what else is on the first page of AI answers? Are brand and entity signals explicit (name, category, founder, HQ, funding, product lines) and machine-readable? Are key answers, positioning, and differentiators easy to parse and summarize from the page? Do those entity signals match across site, Wikipedia/Wikidat a, LinkedIn, review sites, and press? Corroborated Credible Differentiated Fresh Transactable Do multiple independent third-party sources reinforce the same positioning and claims? Do the sources that reinforce the brand carry weight (recognized publications, analyst coverage, peer-reviewed or primary data)? Is the positioning clear, specific, and ownable — or is the language interchangeable with competitors? Is the content recent enough (publish/update dates, current facts, live pricing) to remain credible and citable? Are pricing, plan logic, feature comparisons, and evaluation surfaces clear enough that AI systems can answer “which plan fits my case” questions? https://www.aleydasolis.com/en/ai-search/ai-search-winning-brands-characteristics/
31. Here’s what the 10 AI readiness characteristics assessment look for an ecommerce https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
32. Use this AI Search Readiness Checklist with relevant resources to assess each https://www.aleydasolis.com/en/ai-search/ai-search-winning-brands-characteristics/
33. With your AI presence & readiness, you can then assess biz impact via 3 metrics layers Observed Proxy (own & third party) Modeled Metrics from platforms passing a referrer or a UTM. Highest confidence, lowest coverage. Eg. AI referred sessions, AI conversion rate, revenue per AI visit, AI-assisted conversions. Directional signals from your own analytics or tools that sample AI traffic across the web. Medium to medium-low confidence, broader coverage. Eg. 1. Own: branded search lift, direct/unattributed lift, demand for pages known to be surfaced in AI answers, survey-based discovery. 2. External: Similarweb AI traffic behavior vs. competitors, prompt samples per page, etc. Estimates produced by applying assumptions to observed and proxy data. Lowest confidence, used for planning, never for proof. Eg. influenced pipeline, influenced revenue, incrementality estimates. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
34. Each metric layer answers a question to help assess your AI search business impact Observed Proxy (own & third party) Modeled Question: How many users clicked and converted from an AI answer? Question: 1. Own: Is there evidence users are seeing us in AI answers even when they do not click? 2. Third Party: How does our AI presence compare to competitors and which prompts are driving AI traffic? Question: If we assume X% of branded search lift is AI-attributable, what is the implied pipeline? Metrics from platforms passing a referrer or a UTM. Highest confidence, lowest coverage. Directional signals that correlate with AI influence but do not prove it. Medium to medium-low confidence, broader coverage. Estimates produced by applying assumptions to observed and proxy data. Lowest confidence, used for planning, never for proof. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
35. These biz KPI will help gauge your AI presence & readiness efforts ROI AI-referred sessions Shows whether known AI traffic is growing or shrinking. Remember this is the floor, not the ceiling. Branded search / direct / surfaced page demand AI conversion rate / revenue per visit Shows whether known AI traffic is growing or shrinking. Remember this is the floor, not the ceiling. Survey AI discovery rate AI-assisted conversions Shows whether AI contributes to conversion paths even when it is not the final click. Third-party AI traffic share vs. peers Detects recall and downstream demand effects beyond measurable referrals. Surfaces AI influence on users who arrive via branded or direct, otherwise invisible. Shows whether observed growth is share-taking or category-riding. Flat share during category growth = loss. Third-party prompt samples per top landing page Third-party AI platform mix vs. peer average Modeled influenced pipeline / revenue Fills the gap analytics cannot: what question triggered the traffic. Drives prompt set updates and page fixes. Surfaces platform specific risks and opportunities early. Over indexing on one platform is a fragility signal. Useful for planning, never for proof. Overclaiming here erodes trust in the whole dashboard. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
36. Here’s how to calculate them with examples for each AI biz KPI for ecommerce https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
37. Tying AI presence, readiness & biz KPIs is what drives AI understanding & action Metric How to select it What to learn / action Low readiness + low visibility Structural conditions are holding the brand back. Prioritize access, extractability, entity clarity, corroboration. High readiness + low visibility Brand is underdistributed or underrepresented in the source ecosystem. Focus on source presence, distribution, trust ecosystem, competitive disadvantage. Visibility improving + impact flat Brand is appearing but not memorably, persuasively, or on the right pages. Improve recommendation quality, linked citations, memorability, landing-page fit. Strong informational + weak commercial visibility Visible early in the journey but not winning shortlist or selection moments. Improve commercial prompt coverage and transaction-ready surfaces. High visibility + strong recommendation + weak representation accuracy Being talked about but described wrong. Entity and source correction: Wikipedia/Wikidata, schema consistency, review sites, supplier pages, analyst briefings. One segment strong, another weak Issue is segment-specific, not brand-wide. Run a segment-specific readiness and source-ecosystem review. https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
38. A lot to digest? Don’t worry, check out my “Success Metrics for the AI Search Era” guide going through it with examples https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/
39. 2. Create content for topical completeness, rather than keyword targeting for products The best cited AI brands provide full topic graphs to safely recommend products under diverse constraints. By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO 1. For each product line, define a topical map: Core entity (e.g. “women’s road running shoes”), subtypes (daily trainer, long-run, speed, recovery), alternatives, etc. 2. Cover all decision dimensions , not just popular queries (Use cases, constraints, trade offs, risks, edge cases, etc.) 3. Create topic-level summaries above product-level content. 4. Assess & monitor topic completeness gaps : % of subtypes with content, % of products with full attribute sets, % of decision scenarios covered, etc.
40. AI cites pages that resolve buyer uncertainty, not just PDPs / PLPs, where AI traffic goes https://www.aleydasolis.com/en/ai-search/ecommerce-ai-search-citations-optimization/
41. Buyer uncertainty drives the citation mix: The right evidence layer depends on what buyers are uncertain about https://www.aleydasolis.com/en/ai-search/ecommerce-ai-search-citations-optimization/
42. Uncertainty will help to identify which pages or data fields need to be optimized or created https://www.aleydasolis.com/en/ai-search/ecommerce-ai-search-citations-optimization/
43. Awareness It’s then critical to establish an “on brand”, product connected topical authority, targeting the full customer journey * Products How-To Guides & Tutorials * Thought Leadership & Expert Advice * FAQs * New product releases Decision * Comprehensive Product Description * Documentation & Manuals * Pricing & Plans Pages * Case Studies * Compliance content By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Consideration * Reviews & Testimonials * Studies & Research * Comparison & Alternatives * Product Q&As * Community & Forum Content Post-Purchase Support * Knowledge base articles * Troubleshooting Guides & FAQs * Community & support forum * Video tutorials
44. Run an AI presence benchmark to identify topic gaps to prioritize content accordingly Similarweb
45. Build informational content that feeds AI decisions Guides and comparisons now directly influence which product gets selected: AI systems pull reasoning from this content when recommending products By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO 1. Create expert-authored Buying guides , “Which should I choose” comparisons, Use-case explainers, Tradeoff content 3. Maintain consistency between guides and PDP attributes 2. Link products explicitly to scenarios and constraints
46. Informational content investment is hard, but needed for topical authority & getting cited https://chromewebstore.google.com/detail/chatgpt-search-fan-outs-c/hlpghnnocnclmnkhmoacpoejpebfeifm
47. Personalization resilience comes from covering multiple intents across the customer journey for your targeted audience Add contextual signals that aligns content with profile-based personalization, segmenting content for specific personas or use cases. Cover multiple intents for the same topic, so your content aligns with many personalized subqueries, increasing surface area. By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Retain attention and engagement with fast, useful content that gives a satisfying user experience since AI search systems refine results based on user behavior, thumbs up/down, etc. This feedback loops into ranking and synthesis decisions for future answers.
48. Prioritize content based on click resilience, citation potential, business value, effort, etc. To Avoid To Prioritize Brand and entity pages Original market, audience and usage research Evidence led comparisons and selection guides Standalone commodity definitions without brand or journey context High volume tangential topics without a credible business journey Transaction and task-completion pages Live first-party databases and reference hubs Personalized tools using live or proprietary data Rehashed explainers and how to guides without original value Biased or mass produced ‘best’, comparison and alternatives pages Official product documentation, specifications and policies Documented customer outcomes, experiments and case studies Curated community and practitioner knowledge Fragmented FAQ and keyword variant pages serving one intent Generic calculators, quizzes and generators without distinctive inputs First-hand product tests and performance reviews Product specific implementation and troubleshooting guides Original reporting and source analysis Third-party news and press release rewrites without original input Programmatic pages built from public or competitor data https://www.aleydasolis.com/en/ai-search/content-prioritization-ai-search/
49. I’ve created a workbook going through them with examples for Ecommerce sites https://www.aleydasolis.com/en/ai-search/content-prioritization-ai-search/
50. This is also the type of content with higher chances to survive Google’s Zero click era too https://www.aleydasolis.com/en/ai-search/content-prioritization-ai-search/
51. You can integrate informational content to support your customer journey & sales By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
52. Leverage AI search optimization tools like Waikay to identify your site topic gaps vs competitors Waikay
53. Use EEAT principles for easy to cite structured, accurate, fresh & authoritative content EEAT Content Quality Checklist
54. Ensure your key content can be easily extracted Pages are no longer the unit of value but extractable modules are. By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO 1. Structure content with: Lists, Tables, Clear headings, Short factual paragraphs 3. Make tradeoffs explicit (“best for / not ideal for”) 2. Separate: Facts, Explanations, Comparisons, Policies
55. Default to server-visible HTML for critical ecommerce data: From descriptions to reviews https://www.searchengineworld.com/do-ai-assistants-actually-render-your-javascript-when-grounding-we-put-it-to-the-test
56. Schema.org is fundamental for shopping and shouldn’t rely on CSR JS to ensure real time consistency with product feeds and content https://www.aleydasolis.com/en/search-engine-optimization/what-we-learned-google-search-central-zurich-2025/
57. Use tools like Glippy that validate your site tech optimization for AI search glippy.dev
58. Start treating your product feeds and merchant center presence as your canonical product truth, rather than secondary data source By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Expand feeds beyond minimum required attributes. Use consistent units and normalized values to enable accurate cross-product comparison. Ensure three-way consistency: Feeds, Product Pages, and Structured Data. Make feeds near real-time for price and stock. AI systems deprioritize merchants with stale or inconsistent data to avoid failed transactions and maintain user trust.
59. If you haven’t yet prepared for agentic commerce, now is the time to start making your ecommerce journeys agent-ready https://web.dev/articles/ai-agent-site-ux Agent-ready guideline Ecommerce implication Make actions explicit Add to cart, select size, check stock, compare, return, and track order actions should be clearly visible. Keep layouts stable Product info, variants, price, delivery, returns, and CTAs should appear in predictable places across templates. Avoid ghost elements / overlays Pop-ups, transparent layers, or hidden elements shouldn’t cover selectors, filters, cart, or checkout steps. Use semantic HTML Use real buttons, links, labels, selects, and forms so agents can identify and interact with commerce flows. Label forms clearly Checkout, delivery, payment, account, return, and support fields should have connected, descriptive labels. Signal actionability Interactive elements should be visible, large enough, and use clear affordances such as cursor: pointer. Audit the accessibility tree Ensure PDPs, PLPs, guides, reviews, FAQs, and policy pages are machine-readable and structurally stable.
60. These are among the top activities mentioned to have had the most meaningful positive impact on AI search visibility so far https://hub.seofomo.co/surveys/state-ai-search-optimization/
61. 3. Optimize for brand authority and trust as a ranking gate AI systems use brand consistency and external validation to reduce recommendation risk By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO 1. Secure third-party mentions and reviews on authoritative sites 2. Ensure consistent brand information across the web 3. Maintain visible customer support, returns, and company info 4. Avoid contradictory claims across channels
62. AI search visibility for ecommerce is an off-site corroboration problem with an on-site quality floor https://www.aleydasolis.com/en/ai-search/ecommerce-ai-search-citations-optimization/
63. Most of AI citations in ecommerce come from 3rd-parties: Brand recognition should align By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
64. Domain Here’s the off-site recurring citation layer across 5 analyzed ecommerce sub-verticals What it likely contributes amazon.com Marketplace/category coverage, availability, pricing context, alternatives, commercial destination signals. youtube.com Creator validation, reviews, demonstrations, comparisons, troubleshooting, real-world product use. reddit.com Community validation, user questions, complaints, comparisons, recommendations, troubleshooting. ebay.com Marketplace coverage, resale/used-product context, availability, pricing alternatives. walmart.com Retail availability, store/local context, category coverage, pricing/promotions. etsy.com Marketplace/category coverage, gifts, niche products, handmade/custom product context. facebook.com Social validation, local/social discovery, community or profile context. instagram.com Visual validation, style/product inspiration, creator/user discovery. wikipedia.org Entity, brand, category, or historical reference context in some cases. target.com Retail/category availability, alternatives, pricing context. tiktok.com Creator/user validation, trends, visual product discovery. pinterest.com Visual discovery, styling, ideas, inspiration-oriented shopping context. https://www.aleydasolis.com/en/ai-search/third-party-citation-optimization-ai-search/
65. Domain See how many of these are coming from social / UGC platforms What it likely contributes amazon.com Marketplace/category coverage, availability, pricing context, alternatives, commercial destination signals. youtube.com Creator validation, reviews, demonstrations, comparisons, troubleshooting, real-world product use. reddit.com Community validation, user questions, complaints, comparisons, recommendations, troubleshooting. ebay.com Marketplace coverage, resale/used-product context, availability, pricing alternatives. walmart.com Retail availability, store/local context, category coverage, pricing/promotions. etsy.com Marketplace/category coverage, gifts, niche products, handmade/custom product context. facebook.com Social validation, local/social discovery, community or profile context. instagram.com Visual validation, style/product inspiration, creator/user discovery. wikipedia.org Entity, brand, category, or historical reference context in some cases. target.com Retail/category availability, alternatives, pricing context. tiktok.com Creator/user validation, trends, visual product discovery. pinterest.com Visual discovery, styling, ideas, inspiration-oriented shopping context. https://www.aleydasolis.com/en/ai-search/third-party-citation-optimization-ai-search/
66. Growing your 3rd party brand authority is a must via link building, community & digital PR Link Building Backlinks from related, authoritative sites reviewing relevant businesses Digital PR Positive coverage, citations, backlinks from Media Sites Community Management Positive mentions from relevant social platforms and communities Branding Mentions, promotion, visibility alignment with brand positioning and voice By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
67. Perform a citation analysis to identify the 3rd party sites used as sources for meaningful topics where you’re not present Similarweb
68. Identify those topics and sources for which you’re consistently cited with an erroneous or negative representation Similarweb
69. Prioritize 3rd party optimization based on brand potential, marketing alignment, biz value, etc. To Avoid To Prioritize Independent first-hand reviews and tests Specialist editorial coverage and original reporting Complete marketplace, retailer and reseller listings Generic brand mentions with no clear evidence role Promotional guest posts or sponsored articles repeating brand claims Evidence-led comparisons and recommendation shortlists Expert commentary, interviews, podcasts and event coverage Partner, integration and ecosystem documentation Reach first coverage on irrelevant generalist sites Generic social posts and short-form clips without demonstration Practitioner demonstrations and task led tutorials Data-led articles and reports citing first-party research Third-party case studies and customer stories Syndicated press releases and copied announcements Low-quality directory and profile creation Authentic community Q&A and troubleshooting discussions Detailed customer reviews and maintained review profiles Industry directories, credentials and local or vertical profiles Thin best of listicles and paid inclusions without methodology Manufactured reviews, astroturfed discussions and undisclosed endorsements https://www.aleydasolis.com/en/ai-search/third-party-citation-optimization-ai-search/
70. I’ve created a workbook going through them based on how valuable they are for your brand https://www.aleydasolis.com/en/ai-search/third-party-citation-optimization-ai-search/
71. Align with digital PR & social media to establish a 3rd party visibility roadmap across platforms By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
72. Need inspiration for PR campaigns that get citations in ecom? See Trending PR Campaigns https://finchling.com/campaigns
73. Use tools like Finchling that scans the news cycle to give you relevant PR campaigns ideas finchling.com
74. Use JournoFinder to easily identify publications & journalists to reach out for coverage journofinder.com
75. These citation and brand building activities are among the top actions with the most meaningful positive impact on AI search visibility so far https://hub.seofomo.co/surveys/state-ai-search-optimization/
76. You’ll need to expand SEO efforts based on these AI shifts & your own optimization context Crawlability Different bots/user agents for which you might have specific crawlability rules Indexability Relevance Lack of CSR JS support by AI bots Differences in User Search Behavior / Intents to further expand your site topical authority targeting the full journey By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO Popularity Metrics/Goals Bigger Role of third-party Citations / Mentions From Performance (traffic, conversions) only to Brand (visibility, sentiment, share of voice) and Performance metrics and goals
77. Ask these questions to prioritize your AI search optimization actions based on impact & effort 1. How much are AI platforms already bringing to your revenue and impacting marketing goals? 4. How’s your content already optimized for relevant AI search topics? What’s the gap vs competitors? 2. How do your AI search behavior differ from traditional search? 5. How do the needed optimization actions overlap with existing or planned SEO, Digital PR & Community management efforts? What additional actions / investments are needed? By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO 3. What’s your traffic, visibility, sentiment and traffic from relevant topics vs competitors in AI platforms? What’s the gap and growth opportunity? 6. What’s the ROI from the additional efforts? Are they worthy? Prioritize accordingly!
78. With AI search, Ecommerce SEO shifts from “ranking pages” to “enabling transactions” By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
79. Remember we’re just starting: We still have little data and need to leave space for experimentation to adapt for shifts to come SEOtesting.com
80. Stay up to date with the latest ecommerce and AI search shift with the weekly SEOFOMO newsletter for free https://learningaisearch.com/ + https://seofomo.co/ seofomo.co
81. We’re in the Ecommerce SEO & AI Search hybrid era and need to keep strengthening what works while preparing for the future https://hub.seofomo.co/surveys/ecommerce-seo-survey/
82. Long Live Ecommerce SEO … for [AI Search / AI Mode / ChatGPT / TikTok / YouTube / Baidu / Any Platform Used for Search] By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO
83. Thanks! Questions? SEO Consultant & Founder ❏ International SEO Consultant & Founder at Orainti ❏ Co-founder at Finchling ❏ Creator of the SEOFOMO & AI Marketers Newsletters ❏ Maker of LearningAIsearch.com & LearningSEO.io Speaker & Author ❏ Author of SEO, Las Claves Esenciales ❏ Spoke at +200 events in +30 countries By Aleyda Solis - SEO Consultant & Founder at Orainti & SEOFOMO