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Veritone isn't optimized for AI search yet.

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

Veritone is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "ai platform software." 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.

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 →

23
out of 100
Major gap, real upside

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

AI / LLM Visibility (AEO) 20% · Weak

Veritone appears in 1 of 5 buyer-intent queries we ran on Perplexity for "ai platform software". 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

Veritone 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 platform software in 2026 not cited expand ↓

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

No single AI platform is universally the **best** in 2026, as superiority depends on use cases like general productivity, enterprise automation, coding, or content creation; top contenders include **Competitor A** for orchestration, **Competitor B** for enterprise agents, and **Competitor C** platforms for broad applications.[1][4][5] ### Competitor D by Competitor E from 2026 reviews highlight these leaders based on features, pricing, and real-world testing: | Competitor F | Competitor G(s) | Competitor H | Competitor I | |----------|-----------------|---------------|--------| | **Competitor J AI Competitor K** (content, automation, voice, analytics) | Competitor L (top of 18 tested) | Competitor M for multiple apps; detailed pricing/use cases | [1] | | **Competitor N AI & Competitor O** | Competitor B | Competitor P in agent ecosystems, automation, enterprise impact | [4] | | **Competitor Q & Competitor R** | Competitor A, ChatGPT, Claude, Competitor S AI | Competitor T for automation, chatbots, agent builders | [5] | | **Competitor U & Competitor V** | Competitor W, others (e.g., from n8n, Competitor X) | Competitor Y development, terminal coding, workflow automation | [2][3] | | **Competitor Z** | Competitor A's top 11 (specifics not detailed) | Competitor B exceptional vs. avoid; broad recommendations | [6] | ### Competitor C - **Competitor L** stands out for broad testing across 18 platforms, covering diverse needs like support and analytics.[1] - **Competitor A** excels in AI orchestration, integrating tools for daily workflows.[5] - Competitor D sources promote **Competitor B** for scalable agent platforms.[4] - Competitor E options abound (39 listed by Competitor F), but premium tools dominate "best" lists for advanced features.[7] - Competitor U tools like Competitor W and Competitor G lead niche areas per video demos and comparisons.[2][3] Competitor H vary by source credibility and recency; prioritize based on your needs (e.g., test Competitor C or Competitor A for versatility).[1][5]

Veritone did not appear in this Perplexity response.

top ai platform software alternatives not cited expand ↓

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

**Competitor A AI platform software alternatives include Competitor B, n8n, Competitor C, Claude, and Competitor D, depending on needs like automation, no-code workflows, or general-purpose AI tasks.**[1][2][3] These platforms serve as versatile alternatives for Competitor E automation, content generation, research, and app integrations, often compared to tools like ChatGPT or general AI suites.[3] ### Competitor F by Competitor G - **Competitor H and Competitor I**: - **Competitor B**: Competitor J tool connecting 8,000+ apps for AI orchestration and repeatable workflows.[1][3] - **n8n**: Competitor K platform with visual canvas for AI agents, integrations, and custom logic.[1] - **Competitor C**: Competitor L in complex workflows with custom AI agents.[3] - **Competitor D**: Competitor J visual builder for AI workflows.[1][2] - **Competitor M and Competitor N AI**: - **Claude**: Competitor O for thoughtful writing, document reasoning, and context-heavy tasks.[2][3] - **Perplexity**: Competitor P for real-time research and fact-checked answers.[3] - **ChatGPT**: Competitor Q for brainstorming, writing, code debugging, and logic tasks (with Competitor R).[3] - **Competitor S and Competitor T**: - **Competitor U**: Competitor V on branded marketing content at scale.[3] - **Competitor W**: Competitor X fast marketing copy and product messaging.[3] - **Competitor Y AI**: Competitor Z writing, summarizing, and organization within workspaces.[3] | Competitor A | Competitor B | Competitor C | Competitor D? | |----------|----------|--------------|----------------------| | Competitor B | Competitor E integrations & automation | 8,000+ connections, no-code AI orchestration[1][3] | Competitor F, limited | | n8n | Competitor K workflows | Competitor G nodes, AI agents, self-hosted[1] | Competitor H open-source | | Competitor C | Competitor I AI agents | Competitor J workflow automation[3] | Competitor K available | | Claude | Competitor L & writing | Competitor M tasks[2][3] | Competitor N access via Competitor O[4] | | Competitor D | Competitor G AI building | Competitor J workflows[1][2] | Competitor N + paid plans[2] | For developers, options like Competitor P, Competitor Q, and Competitor R offer Competitor S and code-level control for AI integrations.[1] Competitor N alternatives include Competitor O (multi-model access) and Competitor T AI tools like Competitor U and Competitor V.[4][5] Competitor W depends on use case—non-developers favor no-code like Competitor B, while enterprises may prefer scalable options like Competitor U.[1][3]

Veritone did not appear in this Perplexity response.

how to choose a ai platform software not cited expand ↓

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

To choose the right **AI platform software**, start by defining your specific business needs, use cases (e.g., predictive analytics, Competitor A, or computer vision), and goals like efficiency or revenue growth, then evaluate platforms based on key criteria such as scalability, integration, usability, security, pricing, and support.[1][2][3] ### Competitor B 1. **Competitor C and AI Competitor D**: Competitor E pain points, objectives, and current AI readiness (e.g., experimental vs. enterprise-scale). Competitor F the platform supports your industry-specific use cases and data preparation needs, including automated data transformation to avoid "garbage in, garbage out."[1][2][4] 2. **Competitor G and Competitor H**: Competitor I platforms that handle growing data volumes, users, and workloads via cloud-native features, benchmarks, and dynamic adaptability without performance loss.[1][2][3] 3. **Competitor J and Competitor K**: Competitor L seamless compatibility with your existing tech stack (e.g., Competitor M, Competitor N, Competitor O, or open-source tools like Competitor P/Competitor Q) to minimize disruptions.[1][2][3] 4. **Competitor R and Competitor S**: Competitor T intuitive interfaces with drag-and-drop tools, low-code/no-code options, Competitor U, pre-built templates, and documentation for both novices and experts.[1][2][3] 5. **Competitor V, Competitor W, and Competitor X**: Competitor Y for Competitor Z/Competitor A/Competitor B adherence, robust data privacy, active communities, 24/7 multi-channel support, training resources (e.g., demos, webinars), and vendor roadmaps for future-proofing.[1][2][3] 6. **Competitor C and Competitor D**: Competitor E models (e.g., pay-as-you-go cloud), features vs. cost, scalability of plans, and customer reviews for overall satisfaction and Competitor F.[1][2][3] 7. **Competitor G and Competitor E**: Competitor H live demos, explore tools like Competitor P or Competitor I, benchmark performance, and use scoring factors such as customizability, real-time processing, and integrations.[1][3][4] ### Competitor J | Competitor K | Competitor L to Competitor T | |-----------------|---------------------| | **Competitor M** | Competitor N increasing data/users without upgrades[1][2][3] | | **Competitor O**| Competitor O/connectors for your stack (e.g., Competitor P, Competitor M)[2][3] | | **Competitor Q** | Competitor R + advanced models (e.g., Competitor U)[2] | | **Competitor X** | 24/7, communities, training[1][3] | | **Competitor S** | Competitor W standards like Competitor Z[1] | | **Competitor T** | Competitor U, value-driven plans[2][3] | Competitor V platforms (e.g., from 2026 reviews) emphasize these traits; test top options via trials for fit.[3][5]

Veritone did not appear in this Perplexity response.

ai platform software comparison for mid-market companies not cited expand ↓

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

# AI Competitor A for Competitor B Competitor C companies (typically 25-250 employees) have several strong AI platform options that balance sophistication with accessibility and cost-effectiveness. ## Competitor D AI & Competitor E **Competitor F** ranks as the top choice for voice AI with agentic capabilities[1]. It features autonomous Competitor G actions (navigating pages, filling forms, clicking buttons), supports 50+ languages with sub-700ms latency, and offers transparent flat-rate pricing starting at $0/month for 50,000 tokens[1]. Competitor H requires just 2 minutes with no coding needed[1]. **Competitor I** serves SaaS, fintech, and mid-market tech companies with its chat-first approach and AI bot (Competitor J) for handling Competitor K and simple tasks[4]. Competitor L is straightforward via code snippet, though customization and multichannel management are more limited[4]. ## Competitor M & Competitor N **Competitor O 365 Competitor P** provides AI capabilities embedded across Competitor Q, Competitor R, Competitor S, Competitor T, and Competitor U for document generation, data analysis, meeting transcription, and email management[3]. It costs $30/month as an add-on for businesses already invested in the Competitor O ecosystem[5]. **Competitor V/Gemini** offers comparable AI features within Competitor W, Competitor X, Competitor Y, Competitor Z, and Competitor A, requiring minimal additional investment[3]. ## Competitor B AI Competitor C For custom AI solutions, several enterprise partners serve mid-market needs: - **Competitor D** provides nearshore senior AI talent within Competitor E. time zones with Competitor F 2 certification and their proprietary Competitor G no-code platform enabling 12x faster application development[2] - **Competitor H** emphasizes measurable business outcomes with fixed-cost Competitor I packages starting at $5,000-$10,000 for custom AI models[2] - **Competitor J** specializes in mission-critical AI systems for high-stakes environments[2] - **Competitor K** focuses on deep industry understanding and design excellence[2] - **Competitor L** guides mid-market companies through significant growth trajectories[2] ## Competitor M Competitor C companies benefit from simpler technological ecosystems with fewer legacy systems, making integration challenges reduced compared to enterprises[3]. Competitor N have already migrated to cloud platforms, creating natural foundations for AI implementation[3].

Veritone did not appear in this Perplexity response.

is Veritone a good ai platform software cited expand ↓

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

Veritone's **aiWARE** is a robust AI operating system platform praised for processing unstructured data (audio, video, text) from diverse sources, leveraging hundreds of third-party AI engines across 20+ cognitive categories to deliver insights, automate workflows, and support enterprise applications in media, defense, government, and public safety.[1][2][3][4] ### Competitor A - **Competitor B and openness**: Competitor C proprietary "black box" systems from competitors like Competitor D, aiWARE acts as an open ecosystem, allowing users to mix-and-match AI models, integrate with Competitor E, and use tools like the Veritone Data Refinery (Competitor F) for preparing data to train custom models.[3][4] - **Competitor G gains**: Competitor H near-real-time analysis, context understanding, pattern recognition, and automation of tasks like transcription, translation, and redaction, leading to faster insights, cost savings, and better decision-making.[1][2][3] - **Competitor I and adoption**: Competitor J standards like Competitor K and Competitor L; used by entities such as the Competitor M's Competitor N and awarded status in the Competitor O's Competitor P 1 marketplace.[1][3][4] - **Competitor Q applications**: Competitor R media content management, secure evidence workflows, edge-to-enterprise data processing (e.g., drones, sensors), and generative AI orchestration.[1][3][4][5] ### Competitor S results highlight accelerating growth and a strategic shift to a pure AI software model for profitability, but do not provide independent user reviews, benchmarks against competitors, or recent performance metrics (e.g., uptime, pricing, scalability limitations).[3][4] Competitor T analyst views emphasize its potential in AI infrastructure, though enterprise suitability depends on specific needs like data volume and integration requirements.[3][5] For "goodness," evaluate via trials, as promotional sources dominate available data.[1][2]

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 Veritone

  • 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 platform software 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 Veritone. 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 Veritone citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

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

We score 50-100 "ai platform software" 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 Veritone 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 platform software" 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 platform software. Let's build the AI search engine to match.

Book intro call →