Ben Salomon

The inputs accumulate over time: reviews pile up, citations build, and pages get crawled and re-crawled.

• Work started 16 weeks out behaves differently from work started one week out; the same effort in late November mostly misses the window.
• Search and answer engines weigh accumulated, third-party-shaped signals, so starting early gives them time to compound before shoppers begin researching gifts and deals.

Last BFCM, traffic from AI engines to ecommerce brands rose 752%, the post reports.

• Ben Salomon, who works on SEO and AEO at Yotpo, says they watch the figure daily.
• Their recommended response is Yotpo's BFCM AI Visibility Toolkit: a 16-week plan paired with a free Claude skill that generates a brand's prompt set and scores it against competitors, turns the plan into dated tasks, and adds a step for capturing the review spike in the 72 hours after Black Friday.

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A program can be live and have shoppers enrolled yet still fail if its rewards sit on a page nobody visits during the purchase decision.

• Ben Salomon argues for a positional fix: put the program on the product page and in the cart, where shoppers are already weighing the purchase, so it can influence their decision before they leave.
• The posts answer a familiar problem with better placement, not more rewards.

Yotpo Spotlight puts a loyalty program on the product page and in the cart, on-brand, with no development work and built natively for Shopify. Ben Salomon reports results from brands already using it: a 30% uplift in logins, 70% of engaged shoppers completing the login flow, a 20–40% increase in redemptions, and a quarter of purchases made within minutes of a redemption through the widget.

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A brand drops points into a chosen segment with an expiry attached; the clock, not a price cut, creates urgency, while the brand gets data on who responded and what revenue followed.

• From the shopper's perspective, an unexpected balance with a short window creates a reason to buy now that a permanent reward balance does not.
• The targeting is narrow — lapsed shoppers or members just short of a first reward — and focuses on people who already have a reason to care.

Points Drop in Yotpo Loyalty lets a brand choose a segment, add points, and set an expiry window.

• Segments can be defined in Yotpo, Shopify, or Klaviyo.
• Ben Salomon puts the offer in first person: 500 extra points with 24 hours to use them would probably send them out to buy something.
• The post says the feature requires no development work and no discount, and lets the brand see exactly who redeemed and how much revenue the drop drove.

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The argument is that brands underrate the moment when someone asks an AI assistant what to buy, and showing a real person doing it makes that point land. The posts pair that framing with a live session rather than a written explainer.

In one post, Ben Salomon needs a new backpack, considers waiting for Black Friday, and expects to ask AI what to get.

• They then ask brands whether they show up when shoppers ask.
• The post announces a live session with Jenna Vaccaro and Sandy Wolff Eisen on September 10 at 12 PM ET about preparing ecommerce brands for BFCM in the age of AI search.
• Ask for the session recording to assess what it covered.

The language shifts across the posts.

• Earlier material focuses on SEO and AEO; later BFCM posts emphasize AEO and AI-search visibility.
• The personal shopping anecdote also becomes a regular way to turn a vendor claim into observable shopper behaviour.

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Ben Salomon describes Yotpo Spotlight, a feature that places a brand's loyalty program on the product page and in the cart rather than on a separate rewards page.

• The post identifies the problem: the program is live and shoppers are enrolled, but loyalty is absent when they decide whether to buy.
• Reported results include a 30% uplift in logins, 70% of engaged shoppers completing the login flow, a 20–40% increase in redemptions, and 25% of purchases happening within minutes of a redemption through the widget.
• The feature is built natively for Shopify and requires no development work.

For brands planning a campaign

A ready-made session example: move loyalty into the product page and cart, with before-and-after figures brands can compare against their own programs. A concrete case for discussing loyalty engagement before peak season.

Ben Salomon introduces Points Drop, a Yotpo Loyalty feature that lets a brand select a segment, add extra points to those accounts, and set a 24-hour clock; when the window closes, the points are gone.

• The post gives example segments—shoppers who have not ordered in a while and members just short of their first reward—and notes that segments can be defined in Yotpo, Shopify, or Klaviyo.
• It requires no development work or discount, and brands can see who redeemed and how much revenue the drop drove.
• The post opens from the shopper's perspective: 500 points, 24 hours, so “I'd probably go buy something.”

For brands planning a campaign

A distinct loyalty tactic to pair with the Spotlight example: a time-limited incentive rather than a change in placement. It gives a session two levers to discuss and offers a tactic that requires no discount.

Ben Salomon opens with a figure: AI-engine traffic to ecommerce brands rose 752% over the previous BFCM period, and the post expects that number to grow again.

• Drawing on Yotpo's work in SEO and answer-engine optimization, the post argues that AI visibility compounds: reviews accumulate, citations build, and pages are crawled and re-crawled.
• The work cannot be done in the week a brand decides to care, so the post says to start 16 weeks out, not one.
• It then describes the BFCM AI Visibility Toolkit: a guide with a 16-week plan and a free Claude skill that performs an audit (generating a prompt set and scoring the brand against competitors), a plan (turning the 16 weeks into dates and tasks), and a review-email step aimed at the 72-hour post-BFCM review spike.

For brands planning a campaign

Provides a ready-made structure—an audit, a plan, and post-peak review capture—and a resource brands can use themselves. A strong anchor for a talk on preparing for AI-driven product discovery before peak season.

Ben Salomon needs a new backpack, is inclined to wait for Black Friday deals, and says that when ready to buy, the likely move is to ask AI what backpack to get.

• The post uses this situation to argue that more product-discovery moments are moving into AI, then asks brands whether they show up when shoppers ask.
• It promotes a live session with Jenna Vaccaro and Sandy Wolff Eisen on preparing ecommerce brands for BFCM in the age of AI search, dated September 10 at 12 PM ET.

For brands planning a campaign

A prior session on the topic and format needed for a peak-season AI-search webinar. It also points to potential panel collaborators.

Spotlight puts the program at those decision points, where it can influence conversions before a shopper leaves.

• They report results from brands already using it: a 30% uplift in logins, 70% of engaged shoppers completing the login flow, a 20–40% increase in redemptions, and a quarter of purchases happening within minutes of a redemption through the widget.
• The version described stays on-brand, needs no development work, and is built for Shopify.

Product-launch post moves from the problem to placement, then reports outcomes from named brands using the feature.

For brands planning a campaign

A peak-season session could use these concrete benchmarks to show how placement affects loyalty enrollment and purchase. The figures give a webinar more to work with than general loyalty advice.

Examples: Source 1

Segments can include lapsed shoppers, members just short of a first reward, or any group a brand defines in Yotpo, Shopify, or Klaviyo.

• They introduce the mechanic from the shopper's perspective: "If a brand dropped 500 extra loyalty points into my account and said I had 24 hours to use them, I'd probably go buy something."
• It requires no development work, runs without a discount, and shows exactly who redeemed and how much revenue it drove.

Explains the mechanic through a first-person shopper scenario, then covers configuration sources and post-campaign reporting.

For brands planning a campaign

A ready-made example of urgency applied to loyalty, with segmentation and measurement. It could anchor a live demo or case-shaped segment in a peak-season webinar: the post describes the inputs, deadline mechanic, and reporting.

Examples: Source 1

Their point is timing: AI visibility builds slowly as reviews accumulate, citations build, and pages get crawled and re-crawled; it cannot be created in the week a brand decides to focus on it.

• They recommend starting 16 weeks out rather than one.
• The toolkit pairs a 16-week plan with a free Claude skill that generates a brand's prompt set and scores it against competitors, turns the plan into dated tasks, and captures the 72-hour review spike after BFCM.
• They say they work on SEO and AEO at Yotpo and watch this daily.

Builds the case with a comparative statistic, explains why visibility takes time to accumulate, then offers a free tool to put the recommendation into practice.

For brands planning a campaign

This is a strong anchor for a BFCM webinar: it gives the audience a reason to act before peak season and a tool to use during the session. A speaker slot on AI visibility could follow the same sequence: the traffic shift, the accumulation mechanic, and the 16-week plan.

Examples: Source 1

Salomon opens with a personal buying scenario: in the market for a new backpack, inclined to wait for Black Friday deals, and likely to ask AI what to buy.

• They turn it into the question brands should answer: "are you showing up when they ask?"
• The post sets the season's context rather than presenting the session content.

Opens with an everyday shopping anecdote, turns it into a brand question, then promotes a dated live event with co-speakers and a registration link.

The post shows the session's framing and format, not its delivered material. Ask for a session outline before booking.

For brands planning a campaign

A date-specific, co-hosted live session on peak-season preparation offers a clear format to book. Since the creator presents alongside colleagues and links to registration, a shared panel slot may fit better than a solo keynote built around the same announcement pattern.

Examples: Source 1

They introduce Yotpo Spotlight, a loyalty placement feature for Shopify meant to surface loyalty offers on product and cart pages before shoppers leave, and report results from brands using it.

• They introduce Points Drop in Yotpo Loyalty, a time-limited points deposit for a chosen segment, and describe its targeting and reporting.
• They also describe building a BFCM AI Visibility Toolkit for ecommerce brands and an upcoming webinar on preparing for peak season in AI search.

Original disclosure

I work on SEO and AEO at Yotpo, so I watch this daily.

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Ben Salomon names a familiar problem — a loyalty program that is live but invisible at the decision point — then points to a shipped capability and customer results.

Tomer Tagrin writes at portfolio level, describing a month of work across reviews, loyalty and discovery, with credited teams and customer outcomes. Ben Salomon focuses on lead time and preparation: what brands should do months before peak season and which single mechanic to apply at the cart.

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They frame platform changes as decisions brands have to make now — check your settings, check your measurement — rather than as news.

Amit Bachbut focuses on the mechanics and measurement of buying inside AI surfaces: which pixels fire, what a checkout setting enrolls you in and what a conversion-rate collapse means for strategy. Ben Salomon focuses on timing and placement before purchase, and on the loyalty program once the shopper is on the site.

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They also lead with a striking statistic before drilling into a concrete product-level insight.

Danna Rabin analyzes reviews at scale and publishes reports for review and UGC marketers, with practical takeaways such as photographing colour accurately. Ben Salomon focuses on where loyalty belongs in the purchase flow and how visibility work starts before peak season.

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In a post about Google AI Mode and Gemini, Amit explains eligibility, checkout limitations, measurement gaps, and settings a Shopify merchant can review.

• Another post frames AI shopping around discovery and product visibility rather than checkout.
• Those practical implications give the session a stronger operational focus than Ben Salomon’s posts, which emphasize AI visibility planning and loyalty engagement.

The reviewed work offers less direct support for a loyalty segment. Ben Salomon’s posts pair concrete loyalty examples—Spotlight placement and Points Drop—with a 16-week AI visibility plan.

Examples: Source 1 · Source 2

A post describes review-photo syndication to retailers and AI visibility tools; another argues that effective loyalty programs appear when purchase decisions happen. That gives a BFCM webinar a useful customer-trust and loyalty angle, especially if the audience wants to connect reviews with purchase moments.

The posts offer less specific support for a 16-week BFCM AI-search preparation plan than Ben Salomon’s post, which lays out an audit, dated plan, and post-event review-email step.

Examples: Source 1 · Source 2

A post describes a report based on 51 million reviews across 14,000 brands; another turns a finding about disappointment with product color into concrete presentation and review-collection suggestions. Those examples could add an evidence-led customer-insight segment to peak-season planning.

The posts are less directly about AI search preparation or loyalty campaign mechanics than Ben Salomon’s. They support a shopper-insight angle, but not the webinar’s full AI visibility and loyalty agenda.

Examples: Source 1 · Source 2