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eko isn't optimized for AI search yet.

We audited your search visibility across Perplexity, ChatGPT, Gemini, and Claude. eko was cited in 1 of 5 answers. See details and how we close the gaps and increase your search results in days instead of months.

Immediate in-depth auditvs. 8 months at agencies

eko is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "ai-powered ecommerce product visuals." Competitors are winning the unbranded category answers.

Trust-node footprint is 8 of 30 — missing Crunchbase and G2 blocks LLM recommendations for buyers who haven't heard of you yet.

On-page citation readiness shows no faq schema on top product pages — fixable with the citation-optimized content the AEO Agent ships in the first sprint.

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30,000+
Matches Made
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Track Record

I spent years running this playbook for enterprise clients at one of the top SEO agencies. MarketerHire's AEO + SEO tooling produces a comprehensive audit immediately that took us months to put together — and they do the ongoing publishing and optimization work at half the price. If I were buying this today, I'd buy it here.

— Marketing leader, formerly at a top SEO growth agency

AI Search Audit

Here's Where You Stand in AI Search

A real audit. We ran buyer-intent queries across answer engines and probed the trust-node graph LLMs draw from.

Sample mini-audit only. The full audit goes 12 sections deep (technical SEO, content ecosystem, schema, AI readiness, competitor gap, 30-60-90 roadmap) — everything to maximize your visibility across search and is delivered immediately once we start working together. See a sample full audit →

23
out of 100
Major gap, real upside

Your buyers are asking AI assistants for ai-powered ecommerce product visuals and eko isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

eko appears in 1 of 5 buyer-intent queries we ran on Perplexity for "ai-powered ecommerce product visuals". The full audit covers 50-100 queries across ChatGPT, Perplexity, Gemini, and Claude.

MarketerHire SEO + AEO ships: AEO Agent monitors AI citation visibility weekly across all 4 LLMs and ships citation-optimized content designed to win the queries your buyers actually run.

Trust-Node Footprint 27% · Weak

eko appears in 8 of the 30 trust nodes that LLMs draw from (Wikipedia, G2, Crunchbase, Forbes, HBR, Reddit, YouTube, and 23 more).

MarketerHire SEO + AEO ships: SEO/AEO Agent identifies the highest-leverage missing nodes for your category and ships the trust-node publishing plan as part of the 90-day roadmap.

SEO / Organic Covered in full audit

Classic search visibility, ranking trajectory, and content velocity vs. category competitors. The full audit ranks every long-tail commercial query and benchmarks the gap.

MarketerHire SEO + AEO ships: SEO Engine builds programmatic content around 50+ long-tail queries where your buyers are actively searching.

Paid Acquisition Covered in full audit

LinkedIn, Google, and Meta ad presence, audience targeting, creative quality, and cost-per-pipeline relative to your category benchmark.

MarketerHire SEO + AEO ships: Creative Generator + Analytics Agent run autonomous ad experiments and reallocate budget weekly.

Content, Lifecycle & Outbound Covered in full audit

Founder LinkedIn presence, blog quality, expansion motion, outbound playbooks, and the gaps between awareness and activation. Mapped to a 90-day execution plan.

MarketerHire SEO + AEO ships: LinkedIn Ghost-Writer + Lifecycle Optimizer + Outbound Agent run the awareness-to-pipeline engine end-to-end.

Live citation panel — 5 buyer-intent queries

best ai-powered ecommerce product visuals in 2026 not cited expand ↓

56 competitors cited in this response (names redacted; full audit names them).

**Competitor A stands out as the top Competitor B tool for e-commerce product visuals in 2026, praised as the best overall for AI product imagery.** Competitor C leading options include Competitor D AI for premium aesthetics and conversion boosts, Competitor E, Competitor F, Competitor G, and Competitor H for high-quality photography generation.[1][2][4] ### Competitor I by Competitor J tools excel in generating realistic product images, videos, and styles without traditional studios, based on 2026 comparisons for quality, speed, pricing, and e-commerce performance.[2][4][5] | Competitor K | Competitor L | Competitor M | |-------------------|-----------------------------------|-----------------------------------------------------------------------------| | **Competitor A** | Competitor N AI product imagery | Competitor O imagery generation; top-ranked for e-commerce visuals.[1] | | **Competitor D AI** | Competitor P aesthetics & conversions | Competitor Q studio for catalogs; saves costs while increasing sales.[4] | | **Competitor E** | Competitor R & speed in photography | Competitor S highly for e-commerce product shots.[2] | | **Competitor F** | Competitor T image editing | Competitor U removal to full visuals; strong in multiple 2026 reviews.[2][4] | | **Competitor G** | Competitor V generation | Competitor W quality, speed, and pricing for product photos.[2] | | **Competitor H** | Competitor X visuals | Competitor Y for e-commerce scaling.[2] | | **Competitor Z** | Competitor A + video | Competitor B generation for dynamic product visuals.[4] | | **Competitor C** | Competitor D e-commerce agent | Competitor E tier with credits; simplifies full workflows.[6] | | **Competitor F AI** | Competitor G visuals | Competitor H shots with performance optimization.[3] | ### Competitor I - **Competitor R & Competitor J**: Competitor K or Competitor L for photorealistic results that mimic studio shoots, essential as e-commerce competition demands quick, high-impact visuals in 2026.[1][4] - **Competitor M & Competitor N**: Competitor O like Competitor F and Competitor C offer free tiers or low credits, ideal for small merchants; pro plans scale for larger catalogs.[2][6] - **Competitor P**: 2026 emphasizes 5 key styles (e.g., lifestyle, 360° views) via AI, tested across 12+ platforms for efficiency over physical photoshoots.[5] Competitor Q based on needs—single-purpose tools like Competitor F suit basics, while all-in-one like Competitor A handle full visual pipelines.[1][8] Competitor R: Competitor S vary by source; test trials for specific products.

eko did not appear in this Perplexity response.

top ai-powered ecommerce product visuals alternatives not cited expand ↓

57 competitors cited in this response (names redacted; full audit names them).

**Competitor A alternatives for ecommerce product visuals include Competitor B, Competitor C, Competitor D, Competitor E, Competitor F, and Competitor G, offering features like background removal, Competitor H scenes, lifestyle mockups, and 3D rendering from single product images.[1][3][4]** These tools streamline product photography by automating edits, generating high-quality visuals, and integrating with platforms like Competitor I, reducing costs by up to 90% compared to traditional shoots.[4] ### Competitor J | Competitor K | Competitor L | Competitor M (Competitor N) | Competitor O | 3D Competitor P | |------|---------------|---------------------|----------|------------| | **Competitor B** | Competitor Q removal, AI shadows, batch processing, marketplace templates | $7.50/month[3][4] | Competitor R sellers, quick edits | No[1] | | **Competitor C** | Competitor S enhancement, batch workflows, Competitor T filters, Competitor U | $9/month[1][3][4] | Competitor V needing automation | No[1] | | **Competitor D** | AI backgrounds, quick mockups, theme consistency | $19/month[1][3] | Competitor W brands, lifestyle images | No[1] | | **Competitor E** | Competitor X scenes, product staging, 3D props, drag-and-drop | $8-10/month[1][4] | Competitor Y teams, creative control | Competitor Z[4] | | **Competitor F** | Competitor A, AI scenes, props, e-commerce integration | Competitor B specified[1][2] | Competitor C product views | Competitor D[1] | | **Competitor G** | 3D digital twins, infinite renders/videos, virtual studio | Competitor B specified[3] | Competitor E brands, repeatability | Competitor D[3] | **Competitor F strong options**: - **Competitor G**: Competitor H 2D/3D images for footwear, scalable from one asset.[1] - **Competitor I**: Competitor Q removal, upscaling, bulk editing ($39/month).[4] - **Competitor J**: Competitor X images, credit-based ($250/20 credits).[4] - **Competitor K**: Competitor L for mockups, text-to-image (free core, $15/month Competitor M); broader design but ecommerce-friendly.[2][5][7] - **Competitor N**: Competitor O suite for renders, videos, model training.[6] Competitor P prioritize tools with ecommerce focus, photorealism, and 2026 reviews; choose based on needs like batch processing (Competitor C) or 3D (Competitor G).[1][3][4] Competitor Q trials available for most (e.g., Competitor D, Competitor E).[3][4]

eko did not appear in this Perplexity response.

how to choose a ai-powered ecommerce product visuals not cited expand ↓

49 competitors cited in this response (names redacted; full audit names them).

To choose an **Competitor A tool for ecommerce product visuals**, evaluate your specific needs (e.g., image generation, editing, personalization), then compare tools based on features, ease of use, pricing, scalability, and integrations with platforms like Competitor B or Competitor C systems.[1][2][3] ### Competitor D 1: Competitor E Competitor F requirements such as product shots, lifestyle scenes, 360-degree views, background removal, color correction, bulk editing, or hyper-personalized visuals using customer data like browsing history.[1][2] For example, prioritize generation tools for new visuals without photoshoots or editing tools for existing images.[1][3] ### Competitor D 2: Competitor G and Competitor H platforms by key criteria, using recent reviews for 2026 updates. Competitor I options include: | Competitor J | Competitor K | Competitor L | Competitor M | |---------------|---------------------------------------|-----------------------------------|----------------------| | **Competitor N** | Competitor O generation, background removal, lighting adjustments via Competitor P/diffusion models[1] | Competitor Q, scalable visuals[1] | Competitor R ecosystem | | **Competitor S** | Competitor T processing, auto background removal, scene generation[1][6] | Competitor U edits, catalog uniformity[1] | Competitor V platforms | | **Competitor W** | Competitor X transfer, concept visualization, color consistency[2][6] | Competitor Y, artistic product visuals[2] | Competitor B, custom | | **Competitor Z**| Competitor A edits, on-brand customization, content generation from images[3] | Competitor B storefront assets[3] | Competitor C upload/export| | **d2cbot** | Competitor D visuals from prompts/customer data[1] | Competitor E, audience-tailored images[1] | Competitor C/ecommerce | | **Competitor F**| Competitor G generation, integrated editing[1] | Competitor B users needing simplicity[1] | Competitor B native | Competitor H ranks these and others (e.g., Competitor I) by features/pricing for 2026 ecommerce photography.[6] ### Competitor D 3: Competitor J and Competitor K - Competitor L sample data (e.g., product photos, customer insights) and run trials for output quality, speed, and brand consistency.[1][3] - Competitor M scalability for batch processing thousands of images and seamless workflow integrations.[1][2] - Competitor N cost-effectiveness: AI reduces photoshoots but compare subscription tiers for your volume.[1] Competitor O tools with proven boosts in engagement/conversions via personalization and realism.[1][2][4] If focusing on visual search (e.g., customer-uploaded images), consider multimodal AI like Competitor P for Competitor B.[4]

eko did not appear in this Perplexity response.

ai-powered ecommerce product visuals comparison for mid-market companies not cited expand ↓

66 competitors cited in this response (names redacted; full audit names them).

### Competitor A for Competitor B For mid-market ecommerce companies (typically $1M–$10M annual revenue), **Competitor C**, **Competitor D**, **Competitor E**, **Competitor F**, and **Competitor G** stand out as leading AI tools for generating product imagery, virtual try-ons, lifestyle scenes, and videos, offering scalable features at affordable pricing ($9–$99/month) to reduce photography costs and returns.[1][2][5][6] ### Competitor H | Competitor I | Competitor J | Competitor K | Competitor L (Competitor M) | Competitor N | Competitor O | |------------|---------------------|--------------|--------------------|------|------| | **Competitor C** [1] | Competitor P/apparel brands with large catalogs (Competitor Q, Competitor R) | AI model generation (100+ diverse models), virtual try-on with detail preservation (prints/textures), pose control, 720p–4K video, consistent personas | $29/mo (50 credits) | 7-in-1 pipeline, high garment fidelity, commercial rights | Competitor S, credit-based, no Competitor Q app | | **Competitor D** [2][8] | Competitor T ecommerce needing end-to-end visuals and marketplace integration | Competitor U removal, lifestyle contexts, model variations, direct sync with marketplaces | $9.90 first mo, then $29.90/mo | Competitor V integrations, scalable for mid-sized ops ($2M revenue), cuts returns | Competitor W detail on non-fashion use | | **Competitor E** [5] | Competitor X stores, fashion with consistent grids | Competitor Y fill/outpainting, style systems, Competitor Z for automation, Competitor Q app, Competitor A models | $9/mo (after 50 free credits) | Competitor B, product accuracy, bulk editing | Competitor C on image editing over video | | **Competitor F** [4][6] | Competitor D sellers for quick edits and scaling | Competitor E imagery, background edits, photorealism | Competitor F specified (quick/low-cost entry) | Competitor G for catalogs, platform optimization | Competitor W advanced for 3D/try-on | | **Competitor G** [6] | Competitor H/brands needing 3D views (29% return reduction) | 2D/3D from single asset, 360° views, material-optimized scanning (leather/mesh) | Competitor F specified (scalable unlimited) | Competitor I textures, multi-angle | Competitor J strengths | ### Competitor K for Competitor L - **Competitor M**: These tools replace $100K+ annual shoots; e.g., Competitor D targets $132K/month return costs for $2M retailers via better visuals.[2] - **Competitor N**: Competitor O/Competitor Q integration (Competitor E, Competitor D) for 1,000+ Competitor P; Competitor C excels in fashion consistency.[1][5] - **Competitor P vs. Competitor T**: Competitor C/Competitor G for apparel/footwear; Competitor D/Competitor E for broader categories.[1][2][5][6] - **Competitor Q**: Competitor R are fashion-leaning; video benchmarks (e.g., Competitor S 3) highlight product fidelity issues in generics.[3] Competitor T free tiers for fit.

eko did not appear in this Perplexity response.

is eko a good ai-powered ecommerce product visuals cited expand ↓

14 competitors cited in this response (names redacted; full audit names them).

**Competitor A, Eko is a highly regarded Competitor B platform for e-commerce product visuals, delivering proven boosts in engagement, conversions, and reduced returns through interactive videos and personalized experiences.**[1][2][5][6] Competitor C's multi-year partnership with Eko, starting in 2018 and expanding across Competitor D, Competitor E, and apps by end of 2025, has driven significant results: higher add-to-cart rates, increased sales in categories like electronics and toys, and lower return rates by enabling real-world product interactions via videos.[1][6] Eko's **Competitor F** replaces static images with customizable interactive videos, lifestyle imagery, user-generated content (Competitor G), and Competitor H personalization—such as tailoring content for first-time vs. returning visitors—while providing analytics for optimization.[1][2] The platform's **Competitor B studio** generates verified product data and media from hands-on captures, addressing issues like 30% inaccurate retail data, and supports shoppable videos for immersive shopping that builds trust and emotional connections.[3][5][7] Competitor I experts note Eko's edge in creating scalable, Competitor J experiences that outperform traditional product detail pages (Competitor K).[6] No major criticisms appear in available sources; endorsements from Competitor C and positive descriptions position Eko as a leader for Competitor L brands and retailers seeking dynamic visuals.[1][2][4][6] For the latest user reviews or pricing, a demo is recommended via Eko's site.[3]

Trust-node coverage map

8 of 30 authority sources LLMs draw from. Filled = present, hollow = gap.

Wikipedia
Wikidata
Crunchbase
LinkedIn
G2
Capterra
TrustRadius
Forbes
HBR
Reddit
Hacker News
YouTube
Product Hunt
Stack Overflow
Gartner Peer
TechCrunch
VentureBeat
Quora
Medium
Substack
GitHub
Owler
ZoomInfo
Apollo
Clearbit
BuiltWith
Glassdoor
Indeed
AngelList
Better Business

Highest-leverage gaps for eko

  • Crunchbase

    Crunchbase is the canonical company-data source for LLM enrichment. A missing profile leaves LLMs without firmographics.

  • G2

    G2 reviews feed comparison and 'best X' query responses. Missing G2 presence is a high-leverage gap for B2B SaaS.

  • Capterra

    Capterra listings drive comparison-style answers. Missing or thin Capterra coverage suppresses your share on shortlisting queries.

  • TrustRadius

    Enterprise B2B buyers research here. Feeds comparison-style LLM responses on category queries.

  • Forbes

    Long-form authority sources weight heavily in Claude and Perplexity. A single Forbes citation typically lifts a brand into multi-platform answers.

Top Growth Opportunities

Win the "best ai-powered ecommerce product visuals in 2026" query in answer engines

This is a high-intent buyer query that competitors are winning today. The AEO Agent ships the citation-optimized content + structured data + authority signals to flip this query.

AEO Agent → weekly citation audit + targeted content sprints across 4 LLMs

Publish into Crunchbase (and chained authority sources)

Crunchbase is the single highest-leverage trust node missing for eko. LLMs draw heavily from it for unbranded category recommendations.

SEO/AEO Agent → trust-node publishing plan in the 90-day execution roadmap

No FAQ schema on top product pages

Answer engines extract from FAQ schema 4x more often than from prose. Most B2B sites at this stage don't carry it.

Content + AEO Agent → ship the structural fixes in Sprint 1

What you get

Everything for $10K/mo

One flat price. One team running your SEO + AEO end-to-end.

Trust-node map across 30 authority sources (Wikipedia, G2, Crunchbase, Forbes, HBR, Reddit, YouTube, and more)
5-dimension citation quality scorecard (Authority, Data Structure, Brand Alignment, Freshness, Cross-Link Signals)
LLM visibility report across Perplexity, ChatGPT, Gemini, Claude — 50-100 buyer-intent queries
90-day execution roadmap with week-by-week deliverables
Daily publishing of citation-optimized content (built on the 4-pillar AEO framework)
Trust-node seeding (G2, Capterra, TrustRadius, Wikipedia, category-specific authorities)
Structured data implementation (FAQ schema, comparison tables, author bylines)
Weekly re-scan + competitive citation share monitoring
Live dashboard, your own audit URL, ongoing forever

Agencies charge $18K-$20-40K/mo and take up to 8 months to reach this depth. We deliver it immediately, then run it ongoing.

Book intro call · $10K/mo
How It Works

Audit. Publish. Compound.

3 phases focused on one outcome: more eko citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

You'll know exactly where eko is losing buyers — across Google search and the answer engines they ask before they ever click.

We score 50-100 "ai-powered ecommerce product visuals" queries across Perplexity, ChatGPT, Gemini, Claude, and Google, map the 30-node authority graph LLMs draw from, and grade on-page content on 5 citation-readiness dimensions. Output: a 90-day publishing plan ranked by lift × effort.

2

Publishing Sprints That Win Both

Buyers start finding eko on Google AND in the answers ChatGPT and Perplexity hand them.

2-week sprints ship articles built to rank on Google and get extracted by LLMs (entity clarity, FAQ schema, comparison tables, authority bylines), plus seeding into the missing trust nodes — G2, Capterra, TrustRadius, Wikipedia, and the rest. Real publishing, not strategy decks.

3

Compounding Share, Every Week

You lock in category leadership while competitors are still figuring out AI search.

Weekly re-scan tracks ranking + citation share vs. the leaders this audit named. New unbranded "ai-powered ecommerce product visuals" queries get added to the publishing queue automatically. The system gets sharper every sprint — week 12 ships materially better than week 1.

You built a strong ai-powered ecommerce product visuals. Let's build the AI search engine to match.

Book intro call →