# Moshe Soloff

Moshe Soloff shares advice on SEO for e-commerce and B2B businesses, including how product pages and online catalogs can earn visibility in search and AI recommendations.

- Profile: https://b2binfluencer.marketing/creators/moshe-soloff/
- LinkedIn: https://www.linkedin.com/in/moe-soloff
- LinkedIn followers: 5,545
- Topics: artificial-intelligence, ecommerce, seo, ai-search
- Based on 11 dated posts, latest 2026-10-07

## Summary

Useful for practical SEO advice on product pages, online catalogs, and AI search visibility for B2B e-commerce.

- Best for: B2B e-commerce SEO agencies or guest expert sessions on AI search visibility for product pages fit.
- Not for: A consumer snack brand wanting sponsored short-form video, unboxing, discount codes, or guaranteed grocery audience does not fit.
- Check first: Confirm scope, duration, compensation, and audience evidence before booking or contacting them.

### Takeaways

- Choose local or national SEO based on whether customers need to be nearby.
- Search is moving from getting clicked to being the recommendation.
- Product pages need FAQs, honest comparisons, customer stories, videos, and reviews, not just title and price.

## Main ideas

- **The right SEO depends on whether customers need to be close by**: Moshe Soloff splits search strategy by business model rather than treating SEO as one method. Local SEO is about appearing in map and location searches, where a result from another state is useless to the searcher. It is easier to win because the business competes only with others in its area, and it suits shops, service businesses with a physical location, and anything where proximity matters. National SEO is about standard search results, where location is irrelevant because the product or service can be delivered anywhere. It suits e-commerce brands, software companies, and content-driven sites, but the tradeoff is competing with everyone, which demands more time, content, and authority. Their decision rule is blunt: if the customer needs to be near you, use local SEO; if the customer can be anywhere, use national SEO.
- **Search is moving from getting clicked to being the recommendation**: Moshe Soloff argues that the buying journey has changed shape. The old path was search, scroll, compare, click, maybe buy. The newer path is ask, get a small set of recommendations, buy. That makes the contest about being selected rather than being visited. A site can rank well on Google and still lose traffic because an AI summary answered the buyer's question before they arrived. They do not treat this as the death of SEO. The brands winning are cited as the source, which requires detailed and trustworthy product information, real expertise instead of generic filler, honest comparisons, reviews and FAQs that actually answer questions, and content that educates rather than only sells.
- **Product pages are the asset most businesses ignore**: Most e-commerce product pages were built for an older internet: a title, a few bullets, a price. Moshe Soloff argues that is no longer enough. When someone asks an AI engine for the best product for a specific need, the engine is not scanning the title. It is looking for context: who the product is for, what problem it solves, how it compares with alternatives, what real customers experienced, and what buyers usually ask before purchasing. A page that cannot answer those questions loses to one that can. The fix is to treat product pages as small resource hubs rather than simple listings. Many businesses pour money into blog content while leaving the pages closest to a sale outdated.
- **Industrial catalogs are a sales channel hiding in plain sight**: Moshe Soloff points out that overall B2B sales barely grew while B2B e-commerce grew much faster: buyers did not disappear; they buy differently. Younger buyers expect to look up a part number late at night and order it without a call. Many industrial sites still answer with a phone number, "call for pricing," and a catalog that cannot be searched. They call industrial SEO one of the most overlooked opportunities in e-commerce because people searching by part number and specification already know what they want. A large catalog becomes a large number of entry pages, each a way for a ready buyer to arrive. A website should be the company's best sales rep: answering questions, showing pricing where possible, ranking for the parts people search, and bringing in quote requests while the team sleeps.
- **The deciding factor is boring fundamentals, not tactics**: Across the posts, the same point keeps returning: whether the goal is a ranking or an AI recommendation, the underlying requirements are the same and unglamorous. Clear product titles that say what the thing is rather than what sounds clever, clean data for price, stock, and variants, categories that match how people actually search, and a presence outside the company's own site through reviews, mentions, and trust signals. These are the basis for being found and chosen, which is why Moshe Soloff frames recommendation visibility as earned through fundamentals rather than bought through placement.

## Work to read

- [Nobody Googles like they used to. They ask ChatGPT.](https://www.linkedin.com/posts/moe-soloff_nobody-googles-like-they-used-to-they-ask-activity-7449498692308340736-TQb2)
- [When did you last read your own product page? Because AI just did.](https://www.linkedin.com/posts/moe-soloff_when-did-you-last-read-your-own-product-page-activity-7467911197279850498-w36L)
- [Your customer already got their answer. They just did not get it from you.](https://www.linkedin.com/posts/moe-soloff_your-customer-already-got-their-answer-they-activity-7467232243279634432-xe7B)
- [B2B sales grew 0.4% last year. B2B ecommerce grew 13%.](https://www.linkedin.com/posts/moe-soloff_b2b-sales-grew-04-last-year-b2b-ecommerce-activity-7475939994331660288-SlYv)
- [Two businesses. Same industry. Completely different SEO strategies. Both correct.](https://www.linkedin.com/posts/moe-soloff_two-businesses-same-industry-completely-activity-7440759674020331523-HDth)

## Partnerships

The five posts describe no sponsorship program, media kit, rate card, or published partnership terms. Each closes with a direct invitation to get in touch — "If you want a second set of eyes on your store, feel free to reach out" and "Drop a message and let's figure it out together" — suggesting an informal audit or consulting conversation about product pages, catalogs, and AI-search visibility rather than a defined paid-placement format. For a paid collaboration, brands would need to negotiate the terms, deliverables, and pricing directly; the posts set no expectations for scope or cost. Ask directly whether Moshe Soloff accepts sponsorships and what terms they offer.

## Alternatives

- Azhan Shafique: A better choice than Moshe Soloff when the agency's clients are industrial or medical manufacturers and the session should focus on making an existing company easier for AI to understand. Azhan describes a surgical instrument manufacturer with strong backlinks and real certifications that ChatGPT and Google AI still misread. The repair was to clarify who the company is, what it manufactures, its location, product categories, certifications, expertise and history, then get important pages indexed again. A second post separates useful AI speed from missing SEO judgment: a prospect's AI-generated keyword list had high volume but no difficulty, intent or sense of who already ranks. For a room of B2B manufacturers, that entity-and-intent framing may land harder than a product-page audit.
- Mohsin Nisar M.: A better choice when the agency wants a structured product-page optimization framework it can hand to clients as a checklist. Mohsin's post lays out a broad framework covering entity attributes, query-intent mapping, title and URL structure, schema, image optimization, reviews and user-generated content, internal linking, variant handling, discontinued products and AI search readiness. A second post argues that AI search rewards clear category positioning, specific outcomes and credible proof rather than generic product pages. That structure could suit a session built around a repeatable audit template rather than one live page teardown.
- Aabhas Vijay: A better choice when the agency wants clients to test whether AI search is retrievable for their category before rewriting product pages. Aabhas gives a concrete diagnostic: pick real buyer questions, run them in ChatGPT, watch whether web search is triggered, map query fan-outs and study which sources get cited. The post states ChatGPT averages 7.6 fan-out searches per prompt and cites an analysis of 22,881 AI citations where many cited domains had low domain authority. A second post explains why starting from keywords can miss the retrieval process and the decisions AI is actually researching. For an agency whose clients may be optimizing pages that AI never retrieves, this is a useful first session.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/