Customer story · E-commerce logistics
How eHouse made its AI
search visibility measurable
From 38% measured visibility in July to 51.3% in September, then a new challenge: turning brand recognition into recommendations that influence buying decisions.
July → September
+13.3pp
Measured AI visibility increase, across different reporting windows
- Customer
- eHouse
- Industry
- E-commerce logistics
- Market
- Israel
- Coverage
- 7 AI platforms
- Study period
- Jul – Nov 2026
- Platform
- LLMagnet
01The challenge
The next customer may never visit your search result.
Imagine an online merchant scaling beyond a home office. Orders are increasing, inventory is getting harder to manage, and packing boxes between meetings is no longer sustainable. Instead of scrolling through ten websites, the merchant asks an AI assistant which logistics provider to choose.
The assistant offers a shortlist. If eHouse is missing from that answer, the company may never get the opportunity to explain what makes it different. If it is mentioned but not recommended, the result may be little better.
That is the commercial problem behind AI visibility: not just whether a brand exists online, but whether AI systems discover it, understand it, and recommend it in relevant moments.
We’re outgrowing the home office. Which logistics provider should I use for my online store?
Here are a few providers to consider
1
2
3
eHouseNot in the answer
Illustrative scenario
02The customer
Meet eHouse
eHouse brings multiple e-commerce operations together under one roof. Its offering includes flexible storage, picking and packing, shipping, shared workspaces, product photography, and professional services. This combination differentiates it from a conventional third-party logistics provider.
Its positioning is clear to people who already know the business. The question was how consistently that proposition appeared in AI-generated answers, particularly when shoppers did not know the eHouse name.
Under one roof
- Flexible storage
- Picking and packing
- Shipping
- Shared workspaces
- Product photography
- Professional services
- Market
- Israel
- Category
- E-commerce / 3PL
- Coverage
- 7 AI platforms
- Study period
- Jul – Nov 2026
03Baseline
A strong starting position,
but an uneven one
In the July 15–21 reporting window, eHouse appeared in approximately 38% of tracked AI answers. It was already visible in its category. But early reporting also described a narrow set of strong queries, weak performance on some technical and competitive questions, and limited citation of the company’s own domain.
The important distinction: eHouse was not starting from zero. The opportunity was to make its existing visibility broader, more resilient, and more useful across the buyer journey.
Source: LLMagnet reporting windows, July 15–21, September 1–30 and October 1–31, 2026. Different windows and potentially changing query mixes mean these are directional milestones, not a controlled continuous time series.
The September report measured 51.3% visibility, 13.3 percentage points above the July milestone. The October report then recorded 37.7%. That reversal is a central part of the story: visibility can improve, then erode as AI answers, prompts, and competitive conditions change.
04The approach
From a single visibility number
to an actionable map
LLMagnet monitored answers across seven AI platforms. The analysis separated prompts by buyer-journey stage, compared competitor mentions, and identified situations where the brand was named without being endorsed.
- ChatGPT
Claude
Gemini
Perplexity
Grok
Copilot
Google AI
- 01Measure
Establish the brand’s visibility across tracked buyer questions and AI platforms.
- 02Diagnose
Locate gaps by intent, platform, competitor, and cited source.
- 03Prioritize
Identify content, evidence, and positioning opportunities for further work.
- 04Monitor
Compare reporting periods and watch for emerging weaknesses.
Evidence boundaryThese are documented monitoring and diagnostic capabilities. The available records do not verify a dated list of content edits, technical changes, or outreach activities completed for eHouse. We therefore do not attribute measured growth to a specific implementation.
05Measurable change
The largest improvement
appeared during consideration
In the latest 90-day journey analysis, the overall journey score increased from 19.4 to 33.3 against its comparison period. Awareness improved from 29.7 to 42.6, while Consideration rose from 9.1 to 37.2.
Source: LLMagnet 90-day Journey Score comparison, generated November 8, 2026. Journey scores are platform-defined indices, not percentages of all consumer searches.
Consideration
9.137.2
Consideration matters because buyers at this stage are actively evaluating alternatives. The improvement is a positive signal within the measured prompt set, although it does not establish increased sales or leads.
06Competitive context
Leading the tracked competitive set
Across the latest 90-day measurement window, eHouse recorded 38% overall AI visibility, ahead of four tracked competitors with scores between 25% and 27%.
- eHouse38%
- Green27%
- OZ Logistics26%
- Tapuz Delivery26%
- Orian25%
Source: LLMagnet competitor visibility, 90-day window ending November 8, 2026. Comparison applies only to tracked prompts and competitors, not total market share.
Mention is not endorsement
Perplexity · a provider-selection question
1XBS LogisticsRanked first
·eHouseMentioned
Being ahead on an aggregate measure does not guarantee inclusion in every high-intent answer. This distinction between a mention and an endorsement is central to the next phase of optimization.
07The hidden gap
Recognized by AI.
Not always recommended by AI.
The journey breakdown exposed a much more specific weakness. The Decision-stage score was only 4.1, compared with 42.6 for Awareness and 37.2 for Consideration. The company performed better in Loyalty and Advocacy prompts, which often refer to the brand directly.
Source: LLMagnet current 90-day Journey Scores. Stages use different prompt sets; compare them as diagnostic indicators rather than a literal conversion funnel.
A tracked question
“What should I check in a 3PL agreement before outsourcing order fulfillment?”
0 of 7engine responses mentioned eHouse. That is a concrete discovery gap, not a hypothetical one.
From recognition to recommendation
- Discovery
A broad logistics question
eHouse missing from all 7 engines
- Recognition
A branded eHouse question
eHouse mentioned across all 7 engines
- Decision
“Which logistics provider should I choose?”
Decision-stage score: 4.1 / 100
Illustration based on documented branded-versus-generic discovery gaps (LLMagnet prompt monitoring, Nov 2, 2026, and journey scores, 90 days). This visual is explanatory, not a verbatim AI answer or controlled before-and-after test.
LLMagnet turned AI search from a black box into something we measure every week. Seeing that we’re mentioned, but not yet recommended, when buyers decide changed what we work on next. And the team walked us through every number.”
Noam CohenHead of Growth, eHouse
08The most recent signal
Brand mentions rose, even as
the strategic work continued
In the latest 30-day dashboard comparison, measured brand mentions increased from 403 to 792, a gain of approximately 96.5%. Over the same comparison, AI Visibility increased from 29% to 32%, while sentiment declined from 60% to 55%.
Brand mentions, 30 days
792+96.5%
Previous 30 days403
Latest 30 days792
AI visibility
29%32%
Share of tracked answers naming eHouse
Sentiment
60%55%
How the answers characterize eHouse
Source: LLMagnet 30-day visibility dashboard, November 8, 2026. Brand mentions are counts from tracked AI responses, not unique users, visits, or conversions.
These metrics tell a more nuanced story than a single growth percentage. eHouse was being named more frequently in monitored answers, but its presence still needed to become stronger in unbranded, high-intent searches.
09What comes next
The next opportunity is recommendation quality
The findings suggest three practical areas to prioritize.
LLMagnet’s site-health snapshot also surfaced gaps in FAQ signals, testimonials, case studies, and first-party AI-readable content. That snapshot scanned only one page in August 2026, so its findings should be validated with a fresh, broader audit before being treated as site-wide conclusions.
Any future implementation should be recorded with publication dates and paired with repeat measurements of the same prompts and engines. This would enable a stronger assessment of which changes correlate with measurable improvement.
- 1
Answer the broad questionsContent that directly answers broad logistics and 3PL buying questions.
- 2
Earn third-party proofCredible outside evidence, such as reviews and detailed customer examples.
- 3
Show why eHouse, specificallyClearer evidence of why eHouse should be chosen over specific alternatives.
The takeaway
AI visibility is not a one-time ranking. It is a measurable, evolving customer journey.
For eHouse, LLMagnet made an otherwise opaque channel easier to understand: where the brand appears, which competitors are recommended, which questions create opportunities, and where visibility weakens. The measured gains are meaningful, but the remaining gaps are just as useful.
Being found is the beginning. Being understood and recommended is the goal.
See where AI recommends
your brand.
Seven engines, the prompts you approve, and the answers behind every number.
Book a demo
30-day free trial · no credit card