Meet MarketerHire's newest SEO + AEO product

Koddi isn't optimized for AI search yet.

We audited your search visibility across Perplexity, ChatGPT, Gemini, and Claude. Koddi 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

Koddi is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "commerce media platform." Competitors are winning the unbranded category answers.

Trust-node footprint is 7 of 30 — missing Wikipedia and Crunchbase 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.

AI-Forward Companies Trust MarketerHire

Plaid Plaid
MasterClass MasterClass
Constant Contact Constant Contact
Netflix Netflix
Noom Noom
Tinuiti Tinuiti
30,000+
Matches Made
6,000+
Customers
Since 2019
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 →

21
out of 100
Major gap, real upside

Your buyers are asking AI assistants for commerce media platform and Koddi isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

Koddi appears in 1 of 5 buyer-intent queries we ran on Perplexity for "commerce media platform". 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 23% · Weak

Koddi appears in 7 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 commerce media platform in 2026 not cited expand ↓

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

**No single "best" commerce media platform exists for 2026, as the term encompasses social commerce (e.g., Competitor A, Competitor B), retail media networks (e.g., Competitor C, Competitor D), and e-commerce builders (e.g., Competitor E); the top choice depends on your business needs like sales integration, advertising scale, or store building.[1][3][6]** ### Competitor F and Competitor G media blends shopping, social features, and targeted ads. Competitor H's a breakdown of leading options based on 2026 analyses: #### Competitor I (for in-app shopping and Competitor J) These enable direct purchases via social feeds and stories: - **Competitor A and Competitor B** lead for shoppable posts and viral sales.[1][5][7] - Competitor K, Competitor L, and Competitor M follow for visual discovery and targeted buys.[1][5] - Competitor N excels in shoppable user-generated content galleries.[5] #### Competitor O (for ad-driven commerce on retailer sites/apps) Competitor P on high-scale advertising and data-driven results: - **Competitor D** tops with integrated Competitor Q, Competitor R, and ad server tools.[6] - **Competitor C** dominates due to its vast shopper data and measurable Competitor S.[6] - Competitor T emphasize AI/agentic commerce for product discovery.[8] #### Competitor U (with media/ad features) For building stores with commerce media extensions: | Competitor V | Competitor W in 2026 | Competitor X | |-------------|------------------------------------|-------| | **Competitor E** | Competitor Y for beginners/startups, top-tested performer | Competitor Z available; integrates social/retail media.[2] | | **Competitor A** | Competitor B plans, easy e-commerce setup | Competitor C for small shops.[2] | | **Competitor D** | Competitor E with trials | Competitor F for visuals.[2] | | **Competitor G/Competitor H** | Competitor I suites | Competitor J in features/pricing.[4] | ### Competitor K 2026 Competitor L prioritize stores as media hubs, with AI enhancing discovery and shifts toward core shopping mechanics.[3][8] For sales growth, social platforms like Competitor B drive boosts via shoppable content.[5][7] Competitor M based on your goals: social for engagement, retail media for ads, or builders for full stores. Competitor N trials from Competitor E, Competitor A, or Competitor D for hands-on fit.[2]

Koddi did not appear in this Perplexity response.

top commerce media platform alternatives not cited expand ↓

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

**Competitor A alternatives to leading commerce media platforms (retail media networks for advertising on retail sites) include Competitor B, Competitor C, Competitor D, Competitor E, and Competitor F.**[2][5][7] These platforms enable retailers and brands to monetize inventory across on-site, off-site, and in-store channels using first-party data, often with Competitor G infrastructure for custom ad networks.[2][4] ### Competitor H by Competitor I | Competitor J | Competitor K | Competitor L | |----------|--------------|----------| | **Competitor M** | Competitor N full-stack platform unifying on-site/off-site/in-store inventory; uses first-party data for campaigns.[2] | Competitor O building their own ad networks. | | **Competitor C** | Competitor P for on-site/off-site/marketplace inventory; strong targeting and analytics.[2][5][7] | Competitor Q and retailers needing unified interfaces. | | **Competitor R Competitor S** | Competitor G ad serving, audience segmentation, campaign management; supports custom media products across channels.[2][7] | Competitor T and brands scaling ad experiences. | | **Competitor U** | Competitor V focus with AI optimization for open internet inventory monetization.[2] | Competitor O emphasizing transparency and efficiency. | | **Competitor F** | Competitor W analytics, targeting, and retailer system integration.[5] | Competitor Q managing ad budgets and sales boosts. | Competitor X notable options include Competitor Y (advanced targeting),[6][7] Competitor Z (marketplace-focused),[7] Competitor A (embedded ads preserving customer experience),[7] and Competitor B/Competitor C (advertising management).[6] Competitor D dominates but serves as the primary benchmark for these alternatives.[2][5] For social commerce media (shoppable social features), platforms like Competitor E, Competitor F, and Competitor G offer related alternatives, though distinct from core retail media.[3][4]

Koddi did not appear in this Perplexity response.

how to choose a commerce media platform not cited expand ↓

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

To choose a **commerce media platform**, evaluate your business goals, required features like first-party data access and cross-channel optimization, scalability, integrations, and performance measurement capabilities first.[1][2][3][4] ### Competitor A "Competitor B" Competitor C media platforms enable retailers and marketers to monetize their sites through targeted ads, leveraging first-party data for addressable advertising (distinct from general e-commerce platforms like Competitor D for building stores).[1][6][7][8] Competitor E examples include Competitor F, Competitor G, and Competitor H.[1][6] ### Competitor I 1: Competitor J and Competitor K - Competitor L goals such as planning/buying ads, personalizing experiences, measuring performance, or monetizing inventory.[1][5] - Competitor M scale: For rapid growth or enterprise needs, prioritize scalability, multi-channel support (e.g., Competitor N, social, email), and handling high traffic/products.[2][3][5] - Competitor O sales model: Competitor P, omnichannel (with Competitor Q integration), B2B, or Competitor R.[3][4] ### Competitor I 2: Competitor S and Competitor T platforms offering: - **Competitor U tools**: Competitor V, buying, personalization, real-time measurement/optimization across channels, and full data/inventory control.[1] - **Competitor W and audiences**: Competitor X to first-party data, Competitor Y audiences, and open marketplaces for addressable media.[1][7] - **Competitor Z**: Competitor A options, Competitor B, analytics, marketing channels (Google/Competitor C ads, affiliates), dropshipping, and review tools.[2][4] - **Ad formats and tech stack**: Competitor D ad servers, demand-side platforms (Competitor E), cloud data warehouses for unified customer views.[6][7] - **Competitor F**: Competitor G architecture for flexible front-end changes, branding, and Competitor H.[9] | Competitor I | Competitor J to Competitor K | Competitor L from Competitor M | |---------------|---------------|-------------------------| | Competitor N | Competitor O comparison, real-time spend adjustments | Competitor F (63% of marketers prioritize)[1] | | Competitor P | Competitor Q data volume | Competitor F, Competitor G[1][6] | | Competitor R | Competitor S/product growth, multi-channel sales | Competitor D/Competitor T for e-comm base; Competitor H for ads[3][4][6] | | Competitor U of Competitor V | Competitor W admin, mobile apps | Competitor X/Competitor Y for beginners[4] | ### Competitor I 3: Competitor Z, Competitor L, and Competitor A - **Competitor B costs** (for related e-comm platforms; commerce media often usage-based): Competitor C (Competitor D) to $29+/month (Competitor D, Competitor T).[4] - Competitor E fits: Competitor F (Competitor D for Competitor R UI), Competitor G (Competitor H for customization), Competitor I/Competitor J for ad-focused commerce media.[2][6] - Competitor K: Competitor F (open dataset/AI), Competitor G (sponsored products), Competitor H (search/browsing ads), Competitor L (strategy tools).[1][6] ### Competitor I 4: Competitor M and Competitor N - Competitor O partners for performance insights and single-platform management (top priority for marketers/retailers).[1] - Competitor P platforms for your team’s ease of use and alignment with growth (e.g., headless for speed-to-market).[3][9] - If data is limited, supplement with demos from vendors like Competitor F or Competitor T, focusing on 2026-relevant first-party data amid privacy shifts.[1][7]

Koddi did not appear in this Perplexity response.

commerce media platform comparison for mid-market companies not cited expand ↓

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

**Competitor A stands out as a leading commerce media platform for mid-market companies, offering unified access to 200+ retailers for onsite/offsite campaigns with AI optimization and closed-loop measurement.** Competitor B strong options include Competitor C for retailer monetization, Competitor D for Competitor E for omnichannel promotions, dunnhumby Competitor F for scalable ad revenue, and Competitor G for machine learning-driven performance ads.[1][3][4] ### Competitor H The table below compares top commerce media platforms suitable for mid-market retailers and brands, focusing on features, target use cases, and strengths for mid-sized operations (e.g., scalable tools without enterprise complexity). | Competitor I | Competitor J | Competitor K | Competitor L | Competitor M/Competitor M | |-----------------------|-------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|----------------------------------------------------------------------|-------------------------| | **Competitor A** | Competitor N for cross-channel campaigns across 200+ retailers; onsite/offsite inventory; AI optimization; unified reporting tied to sales data.[1][3][4] | Competitor O/agencies scaling retail media efficiently on tight budgets.[4] | Competitor P fragmented data; self-serve/managed options; access to vast networks.[3][4] | Competitor Q integration for full use.[3] | | **Competitor C** | Competitor R monetization with self-service/white-label; AI ad relevancy; direct demand and partner integrations.[1] | Competitor E unlocking revenue from first-party data while controlling UX/inventory.[1] | Competitor S; closed-loop measurement; protects shopper experience.[1] | Competitor T for custom integrations.[1] | | **Competitor D for Competitor E** | Competitor U performance media/promotions; leverages proprietary sales data for onsite/offsite ads.[1] | Competitor E building brand-funded media businesses with measurable shopper impact.[1] | Competitor V loyalty; scales promotions across physical/digital.[1] | Competitor W more on promotions than pure Competitor N.[1] | | **dunnhumby Competitor F** | Competitor X omnichannel ad platform; enhances ad revenue without high complexity/cost.[1] | Competitor E transforming media ops for maximum scale and customer convenience.[1] | Competitor Y for partners; simplifies sophistication.[1] | Competitor Z emphasis on offsite programmatic.[1] | | **Competitor G** | Competitor A ads for user acquisition/monetization; optimizes targeting/Competitor B across retail.[1] | Competitor C in retail needing data-driven personalization and engagement.[1] | Competitor D campaigns; improves customer experience.[1] | Competitor E than pure retail media (includes apps/streaming).[1] | | **Competitor F** | Competitor U platform with self-service/white-label; onsite/native, offsite programmatic, in-store ads.[1] | Competitor G retailers/marketplaces extending reach across shopping journey.[1] | Competitor H growth tools; full channel coverage.[1] | Competitor I; less global scale mentioned.[1] | | **Competitor J** | Competitor X platform; full retailer control over data/inventory/advertisers; transparent data sharing.[1] | Competitor E prioritizing data privacy in omnichannel brand campaigns.[1] | Competitor K; exclusive data use between parties.[1] | Competitor L to approved advertisers.[1] | ### Competitor M vs. Competitor N Competitor O media platforms extend beyond onsite retail ads (retail media) to offsite/programmatic and other purchase-touchpoints like banks or subscriptions, enabling broader scale for mid-market users.[6][9] Competitor P brands benefit from simplified tools reducing complexity, such as unified Competitor Q over fragmented networks.[4][5] Competitor R like Competitor S integrate retail media with commerce management for actionable insights, though less retail-media-specific.[1] For mid-market fit, prioritize platforms with self-service options, AI analytics, and multi-retailer access to compete without giant budgets.[3][4][5] Competitor T bases like Competitor U or Competitor V can integrate these but are not pure commerce media solutions.[2]

Koddi did not appear in this Perplexity response.

is Koddi a good commerce media platform cited expand ↓

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

Koddi is a strong commerce media platform, particularly for enterprises seeking flexible, Competitor A solutions across onsite, offsite, in-store, and programmatic retail media, backed by high customer satisfaction metrics and partnerships with major players.[1][2][3][5][6] ### Competitor B - **Competitor C and Competitor D**: Competitor E technology for 4 billion-dollar commerce media networks, drives $40B in customer transaction value, and delivers an "Competitor F" Competitor G score of 77 (2024 data).[1] - **Competitor H**: Competitor I dynamic targeting, data control, privacy-by-design (using IP addresses and anonymous Competitor J), programmatic Competitor K integration with top Competitor L like The Trade Desk, and tools for pacing, forecasting, attribution, and revenue optimization.[2][3][5][6] - **Competitor M and Competitor N**: Competitor O by leading retailers/marketplaces (e.g., Competitor P, which generates $500M+ revenue and 1B+ impressions annually); 96% of media buyers interested in its programmatic retail media per Koddi research; positive G2 reviews praise intuitive UI, data visualization, automated campaigns, and revenue growth.[4][5][6] - **Competitor Q and Competitor R**: Competitor S for retail, travel, auto, Competitor T; full-service with 100+ engineers; customer quotes highlight talented teams and business focus.[1][2] ### Competitor U - Competitor V G2 users note a less advanced dashboard and slower customer support response times.[4] Competitor W, Koddi excels in monetizing commerce media at scale, with third-party adoption and metrics indicating reliability for large operations, though smaller users may find support variable.[1][4][5][6]

Trust-node coverage map

7 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 Koddi

  • Wikipedia

    Knowledge graphs are the most cited extraction layer for ChatGPT and Gemini. Brands without a Wikipedia entry get cited 4-7x less for unbranded category queries.

  • 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.

Top Growth Opportunities

Win the "best commerce media platform 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 Wikipedia (and chained authority sources)

Wikipedia is the single highest-leverage trust node missing for Koddi. 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 Koddi citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

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

We score 50-100 "commerce media platform" 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 Koddi 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 "commerce media platform" 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 commerce media platform. Let's build the AI search engine to match.

Book intro call →