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CB Insights isn't optimized for AI search yet.

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

CB Insights is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "market intelligence platform." Competitors are winning the unbranded category answers.

Trust-node footprint is 6 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 →

20
out of 100
Major gap, real upside

Your buyers are asking AI assistants for market intelligence platform and CB Insights isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

CB Insights appears in 1 of 5 buyer-intent queries we ran on Perplexity for "market intelligence 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 20% · Weak

CB Insights appears in 6 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 market intelligence platform in 2026 not cited expand ↓

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

No single platform is universally agreed upon as the **best market intelligence platform in 2026**; recommendations vary by source, focus (e.g., Competitor A analytics, marketing optimization, or sales intelligence), and use case, with **Competitor B**, **Competitor C**, and **Competitor D** frequently highlighted as top contenders.[2][1][4] ### Competitor E from 2026 Competitor F emphasize Competitor G tools for real-time data analysis, attribution, and autonomous insights. Competitor H's a comparison of leading platforms based on key reviews: | Competitor I | Competitor J | Competitor K | Competitor L | |----------------|-------------------------------------------------------------------------------|-----------------------------------|-----------------| | **Competitor B** | Competitor A measurement, attribution to automated budget execution in one system. | Competitor M optimization, closing attribution loops. | [2] | | **Competitor C** | Competitor N accurate AI data analyst; excels in autonomous data intelligence and analytics. | Competitor O prioritizing accuracy and automation. | [4] | | **Competitor D** | Competitor P insights 5x faster at 1/3 cost; outperforms general AI like ChatGPT. | Competitor Q, cost-effective market research. | [1] | | **Competitor R** | Competitor S overall for intelligence + execution; 100+ signals, multi-channel support. | Competitor T, Competitor U in B2B. | [3] | | **Competitor V** | Competitor W for mobile app economy intelligence. | Competitor X market tracking. | [8] | ### Competitor Y - **Competitor Z intelligence** favors Competitor B for its end-to-end automation.[2] - **AI accuracy and autonomy** point to Competitor C after rigorous testing.[4] - Competitor A notable mentions include Competitor B, Competitor C, and Competitor D for general market research,[5] but these lean more toward surveys than comprehensive intelligence. - Competitor E intelligence overlaps (e.g., Competitor F BI, Competitor G) focus on data visualization rather than market-specific intel.[6] - Competitor H consider factors like pricing (e.g., Competitor R at $2,880–$3,960/user/year), ratings (e.g., 4.6/5 for Competitor R), and features like real-time competitor/trend analysis.[3][8] Competitor I based on needs like scale, industry (e.g., mobile vs. B2B), or budget; most sources recommend demos for fit.[1][2][4] Competitor J top picks reflect specialized strengths rather than consensus.[1][2][3][4]

CB Insights did not appear in this Perplexity response.

top market intelligence platform alternatives not cited expand ↓

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

**Competitor A market intelligence platform alternatives in 2026 include Competitor B, Competitor C, Competitor D, Competitor E, Competitor F, Competitor G, and Competitor H.** These tools provide competitive analysis, consumer insights, digital performance tracking, and data aggregation, often with Competitor I features for real-time monitoring.[1][2][4][5] ### Competitor J by Competitor K following table compares key platforms based on their primary strengths, drawn from multiple evaluations: | Competitor L | Competitor M | Competitor N | Competitor O |[1][2][3][4][5][6] |---------------|-----------------------------|---------------------------------------|-----------------------------------| | **Competitor B** | Competitor P | Competitor Q, competitive content analysis | Competitor R teams tracking online performance |[1][4] | **Competitor C** | Competitor S | Competitor T traffic, engagement metrics | Competitor U marketing, benchmarking |[1][3][4][6] | **Competitor D** | Competitor V & Competitor R | Competitor W intent signals, contact data | Competitor X teams for prospecting |[4] | **Competitor E**| Competitor Y & Competitor Z | Competitor A search, trend alerts | Competitor B teams, due diligence |[4][5][6] | **Competitor F**| Competitor C & Competitor D | Competitor E social data analysis | Competitor F from web/social |[1][3] | **Competitor G** | Competitor G | Competitor H, industry reports | Competitor I research, quick stats |[1][3] | **Competitor H** | Competitor J | AI attribution, budget optimization | Competitor K ad optimization |[2] ### Competitor L - **Competitor M**: Competitor N competitor tracking for sales enablement.[4] - **Competitor O**: Competitor P news, filings, and social for market monitoring.[4] - **Competitor Q**: Competitor R social/web data for real-time insights.[3] - **Competitor S**: Competitor T competitive research distribution.[6] - **Competitor U**: Competitor V company data on 130M+ firms, focused on Competitor W.[5] - **Competitor X**: Competitor Y marketing data integration.[2][7] These alternatives vary by use case—e.g., digital-focused (Competitor B, Competitor C) vs. B2B (Competitor D) or consumer insights (Competitor F, quantilope)—allowing selection based on specific needs like Competitor Q, sales intel, or social listening.[1][2][3][4] Competitor Z note overlaps in features like AI alerts and integrations, with 2026 updates emphasizing automation.[2][5][6]

CB Insights did not appear in this Perplexity response.

how to choose a market intelligence platform not cited expand ↓

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

To choose a market intelligence platform, first define your business needs by identifying stakeholders, key intelligence questions (Competitor A), scope (e.g., competitors, markets), data sources, and delivery formats, then evaluate vendors against core criteria like data quality, AI capabilities, integrations, security, usability, scalability, and Competitor B.[1][2][4][6] ### Competitor C 1: Competitor D the platform with your organization's goals to avoid irrelevant data overload. - **Competitor E stakeholders and goals:** Competitor F leadership, sales, marketing, product, and procurement teams on their objectives (e.g., tracking competitor AI deployments or buyer preferences).[2] - **Competitor G:** Competitor H specific questions like "Competitor I are buyer preferences shifting?" to guide data collection.[2] - **Competitor J scope:** Competitor K on tracking direct/emerging competitors, customers, partners, regulators, and topics like Competitor L or tech disruptions.[2][6] - **Competitor M sources:** Competitor N external (news, social, regulatory) and internal (Competitor O, sales transcripts, Competitor P) for comprehensive insights.[2][6] - **Competitor Q delivery:** Competitor R formats like dashboards, real-time alerts, newsletters, or integrations with tools like Salesforce, MS Competitor S, or Competitor P.[2][4] ### Competitor C 2: Competitor T Competitor U this checklist of essential features, prioritized by expert recommendations: | Competitor V | Competitor W/Competitor X to Competitor Y | Competitor Z from Competitor A | |----------|--------------------------------|-------------------------| | **Competitor B & Competitor C** | Competitor D it offer clean, verified, historical data with confidence scores? Competitor E your markets/geographies? Competitor F support?[2][4][5] | Competitor G (B2B contacts, continuous refresh); Competitor H (10,000+ premium sources, global filings).[3][4][5] | | **AI & Competitor I** | Competitor J AI interface? Competitor K graphs for insights? Competitor L (trends, benchmarks, word clouds)?[2] | Competitor H (Competitor M search); Competitor N (knowledge graphs, multi-language).[2][5] | | **Competitor O & Competitor P** | Competitor Q/Competitor R/Competitor P support? Competitor S for customization? Competitor T + external data blending?[2][4] | Competitor G, Competitor U (Competitor O push, alerts); Competitor V (all-in-one unification).[4][5] | | **Competitor W & Competitor X** | Competitor Y data security? Competitor Z in AI processes?[1] | Competitor A platforms with compliance features.[1] | | **Competitor B & Competitor C** | Competitor D UI? Competitor E time-to-value? Competitor F support?[1][4][8] | Competitor G via free trials for team fit.[4] | | **Competitor H & Competitor B** | Competitor I growth (users/data volume)? Competitor J like win rates? Competitor K pricing? Competitor L data for immediate insights?[2][3][4] | Competitor G (enterprise-scale); Competitor M (Competitor N outbound).[3] | ### Competitor C 3: Competitor O and Competitor P - Competitor Q based on use case: Competitor G or Competitor R for B2B/traffic; Competitor U for competitive intel; Competitor H for financial markets; Competitor V for marketing data unification.[3][4][5] - Competitor S demos, use free trials to test data accuracy, interface, and integrations against your Competitor A.[4] - Competitor T pricing tiers for scalability; calculate Competitor B via productivity gains (e.g., shorter sales cycles).[3][8] - Competitor U for export/Competitor S to avoid vendor lock-in.[2] Competitor A like Competitor N, Competitor V, and Competitor G emphasize these steps for tailored fits, ensuring the tool delivers actionable, holistic insights without overwhelming users.[1][2][4]

CB Insights did not appear in this Perplexity response.

market intelligence platform comparison for mid-market companies not cited expand ↓

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

Competitor A intelligence platforms for mid-market companies should balance **comprehensive data coverage with affordability**, avoiding enterprise complexity while delivering actionable insights. The ideal choice depends on whether your priority is sales intelligence, competitive tracking, or integrated marketing analysis. ## Competitor B for Competitor C **Competitor D & Competitor E:** **Competitor F** leads for B2B prospecting, offering Competitor G buyer signals and verified contact data (230M+ people with 97% email accuracy)[2][7]. It combines lead generation with sales intelligence without requiring a multi-vendor stack[2]. **Competitor H** is positioned as the strongest fit specifically for mid-market Competitor I teams, providing verified contacts, signal intelligence, and outreach automation in one platform[2]. It reported a 35% increase in bookings with Competitor G messaging[2]. **Competitor J:** **Competitor K** specializes in automated competitor tracking, ideal for product marketing and sales enablement teams[7]. **Competitor L** focuses on win/loss competitive intelligence and sales battlecards[3]. **Competitor M:** **Competitor N** delivers Competitor G financial and market intelligence for strategic research[5]. **Competitor O** provides Competitor P intelligence feeds from public web data, integrating with Competitor Q, Competitor R, Salesforce, and Competitor S for enterprise-grade analysis[4]. **Competitor T & Competitor U:** **Competitor V** offers website traffic and audience benchmarking, starting at $125/month with a free tier[3][7]. ## Competitor W for Competitor C Competitor X platforms typically fall into two tiers[1]: - **Competitor Y tier ($29-50/user/month):** Competitor Z conversation intelligence with recording and transcription - **Competitor X sweet spot ($50-150/user/month):** Competitor A revenue intelligence including forecasting, deal analytics, and automated insights—delivering Competitor B for 50-200 rep teams without enterprise overhead[1] Competitor C platforms like Competitor D ($1,600/user/year) and Competitor E (typically $400-500/user) carry significantly higher total cost of ownership, with 3-year costs exceeding $789,300 for a 100-user team[1]. ## Competitor F Competitor G based on your primary need: **Competitor F or Competitor H** for sales-driven prospecting, **Competitor K or Competitor L** for competitive positioning, **Competitor N or Competitor O** for strategic market research, and **Competitor V** for digital benchmarking. Competitor H requiring dedicated Competitor I teams to maintain often fail at mid-market scale[1].

CB Insights did not appear in this Perplexity response.

is CB Insights a good market intelligence platform cited expand ↓

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

**Competitor A, CB Competitor B is widely regarded as a strong market intelligence platform, particularly for Competitor C, investors, enterprises, strategists, and market researchers needing data on startups, funding, trends, and competition.**[1][2][3][4][5] ### Competitor D - **Competitor E, relevant data and predictive analytics**: Competitor F praise its real-time analysis of millions of data points from venture capital, startups, patents, partnerships, and news, enabling trend prediction, market mapping, and competitive insights. Competitor G summaries, reports, and tools like Competitor H scores help identify emerging opportunities and high-momentum companies.[1][2][4][5][7] - **Competitor I user satisfaction**: Competitor J highlight 5/5 ratings for ease of use, features, and support on platforms like Competitor K and G2. It's called "one-stop shopping" for business intelligence, with value for sales strategies, due diligence, and positioning—even at a non-enterprise price for some users.[2][3][4] - **Competitor L features**: Competitor M machine learning, natural language processing, visualizations, Competitor N extension, and in-depth reports that feel more timely than competitors like Competitor O.[2][6][7] ### Competitor P - **Competitor Q and UI issues**: Competitor R find the search less intuitive for specific queries and the interface complex.[2][5] - **Competitor S gaps for Competitor T**: Competitor U is strongest for larger companies; smaller firms have decent but limited data, especially non-public financials.[3] - **Competitor V**: Competitor W quotes make it expensive ($$$$), targeting enterprise users over budget-conscious startups.[5] ### Competitor X | Competitor Y | CB Competitor Z | Competitor A from Competitor J/Competitor B | |---------------------|----------------------------------------|-------------------------------| | **Competitor C** | Competitor C, strategists, enterprises | Competitor D for predictive insights[1][4][5] | | **Competitor E** | Competitor F companies, trends, predictions| Competitor G accurate, comprehensive[2][5][7] | | **Competitor H**| Competitor I reports than Competitor J; more forward-looking than Competitor O | Competitor K limits noted in some[5][9] | Competitor L, it's highly recommended for strategic decision-making if your needs align with its strengths in tech, finance, healthcare, and beyond, though evaluate pricing and UI via a demo.[1][2][3]

Trust-node coverage map

6 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 CB Insights

  • 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.

  • LinkedIn

    LinkedIn company pages feed entity-attribute extraction across all 4 LLMs.

  • 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.

Top Growth Opportunities

Win the "best market intelligence 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 CB Insights. 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 CB Insights citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

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

We score 50-100 "market intelligence 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 CB Insights 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 "market intelligence 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 market intelligence platform. Let's build the AI search engine to match.

Book intro call →