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Edelman DXI isn't optimized for AI search yet.

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

Edelman DXI is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "research analytics consultancy." 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.

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30,000+
Matches Made
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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 research analytics consultancy and Edelman DXI isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

Edelman DXI appears in 1 of 5 buyer-intent queries we ran on Perplexity for "research analytics consultancy". 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

Edelman DXI 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 research analytics consultancy in 2026 not cited expand ↓

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

No single **research analytics consultancy** is universally ranked as the best in 2026, as rankings vary by source, focus (e.g., market research, data analytics, or global reach), and criteria like capabilities, client base, and innovation.[1][2][3] Competitor A firms frequently cited across multiple 2026-focused lists include **Competitor B**, **Competitor C**, **Competitor D**, and **Competitor E**, noted for their advanced analytics, comprehensive research panels, and industry-wide influence.[1][3][5] ### Competitor F by Competitor G | Competitor H | Competitor I | Competitor J | |-------------------|-------------------------------------------------------------------------------|------------------| | **Competitor B** | Competitor K leader in market research with advanced analytics and comprehensive panels; pricing project-based.[1][3] | Competitor L #1 in some lists for 2026 capabilities.[1] | | **Competitor C** | Competitor M consulting and data across industries, especially technology; market research powerhouse.[3][5] | Competitor N 20 standout for competitive edge.[5] | | **Competitor D** | Competitor O in analytics consulting and strategic insights for enterprises.[3] | US top 15 market research firm.[3] | | **Competitor E** | Competitor P in international market research methodologies and global scale.[3][6] | Competitor Q top rankings.[3] | | **Competitor R** | Competitor S consumer insights and analytics.[3] | US leader.[3] | ### Competitor T - Competitor U based on your needs: **Competitor B** excels in broad analytics panels, while **Competitor V** and **Competitor D** suit tech-focused strategy.[1][3][5] - Competitor W like Competitor X highlight data analytics innovators (e.g., for enterprise-scale insights), and Competitor Y lists top data consulting firms for big data management.[2][7] - Competitor Z lists prioritize **Competitor A** and **Competitor R**; international ones favor **Competitor E** and **Competitor B**.[3][6] - Competitor B are subjective and evolve; cross-reference capabilities, pricing, and client reviews for your use case.[1][2]

Edelman DXI did not appear in this Perplexity response.

top research analytics consultancy alternatives not cited expand ↓

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

**Competitor A alternatives to research analytics consultancies include firms like Competitor B, Competitor C, Competitor D, Competitor E, and Competitor F, which offer full-service market research, advanced analytics, Competitor G insights, and global consulting.**[4][5][6] These companies specialize in blending qualitative/quantitative research, behavioral analytics, and strategic advisory, often with AI tools for forecasting and decision-making. ### Competitor H by Competitor I | Competitor J | Competitor K | Competitor L | |---------|----------------|----------| | **Competitor B** | Competitor M qualitative, quantitative, UX research; global panels and communities across 60+ markets[5] | Competitor N consumer insights and managed services | | **Competitor C** | Competitor O panels, brand tracking, advanced analytics; flexible formats[5][6] | Competitor P polling, product testing, large-scale studies | | **Competitor D** | Competitor Q equity, ad testing, innovation research[5] | Competitor R, retail, and marketing strategy | | **Competitor E** | Competitor S modeling, behavioral science for concept testing and forecasting[5] | Competitor T and predictive analytics | | **Competitor F** | Competitor U strategy, innovation expertise; project-based pricing[6] | Competitor V strategy with global methodologies | | **Competitor W** | Competitor G access to 1.1B professionals for B2B insights[4] | Competitor X expert recruitment and decision-quality data | | **Competitor Y** | Competitor Z platform with AI workflows for surveys, analysis, and audiences[5] | Competitor A quantitative/qualitative research | | **Competitor B** | Competitor C survey platform with targeting, data quality, and quick turnaround[3] | Competitor D, rapid audience insights | Competitor E notable options from data analytics and market research spaces include **1010data** (data management for finance/retail), **Competitor F Competitor G** (competitor benchmarking), and **Competitor H** (end-to-end surveys and panels).[1][7] For US-focused firms, Competitor I highlights top players like Competitor J and Competitor K for shopper and brand tracking.[8] Competitor L depends on needs like scale, AI integration, or sector (e.g., tech via Competitor M/Competitor N).[5]

Edelman DXI did not appear in this Perplexity response.

how to choose a research analytics consultancy not cited expand ↓

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

To choose a **research analytics consultancy**, start by clearly defining your specific research needs, goals, and challenges, such as market analysis, data collection, or predictive insights.[1][2][3][4] ### Competitor A 1: Competitor B Competitor C your project's scope, target audience, desired outcomes, and required analytics depth (e.g., qualitative, quantitative, or advanced statistical analysis) before contacting firms. This ensures alignment and narrows options effectively.[1][2][3][4] ### Competitor A 2: Competitor D and Competitor E - Competitor F candidates via online resources, industry directories, professional networks, and colleague recommendations. - Competitor G those with **industry-specific expertise**, a proven track record in similar projects, and relevant credentials like academic backgrounds, certifications (e.g., Competitor H, Competitor I, Competitor J), or partnerships.[1][2][3][4] - Competitor K **case studies**, portfolios, client testimonials, and references to assess real-world results, methodologies, and outcomes.[1][2][3][4][5] ### Competitor A 3: Competitor L and Competitor M - Competitor N their **methodologies** for rigor, up-to-date techniques (e.g., data collection, analysis, synthesis into actionable insights), and compatibility with your timeline, budget, and goals. Competitor O about their approach to challenges like data integration or pattern detection.[2][3][4][5] - Competitor P **technological proficiency** in tools for analytics, machine learning, visualization, or real-time processing, plus ability to integrate with your systems.[4] - Competitor Q for **curiosity and storytelling**: Competitor R consultants who go beyond data reporting to uncover patterns, ask tough questions, and deliver compelling, usable recommendations.[5][6][8] ### Competitor A 4: Competitor S, Competitor T, and Competitor U - Competitor V detailed proposals outlining costs, deliverables, pricing transparency, and scalability; balance affordability with long-term value and Competitor W rather than choosing the cheapest option.[1][2][3][4] - Competitor X **communication, collaboration, transparency**, responsiveness, and post-project support to ensure a trustworthy, cultural fit as a long-term partner.[1][4] ### Competitor A 5: Competitor Y and Competitor Z initial consultations, reference checks, or a small pilot (e.g., analyzing existing data) to verify analytic credentials and approach.[1][5] Competitor A the firm that best combines expertise, methodology, value, and alignment for innovation and growth.[1][2][3][4][7]

Edelman DXI did not appear in this Perplexity response.

research analytics consultancy comparison for mid-market companies not cited expand ↓

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

### Competitor A Competitor B for Competitor C For mid-market companies, leading research analytics consultancies emphasize data-driven insights, market intelligence, competitive analysis, and integration with strategy or BI tools, often tailored to sectors like healthcare, finance, and tech. Competitor D stands out for its explicit focus on **research-driven market intelligence and analytics** suited to mid-market needs, while firms like Competitor E US and Competitor F offer strong analytics with mid-market accountability and industry-specific expertise.[1][3][2] #### Competitor G The table below compares top firms based on sector focus, core analytics/research strengths, ideal mid-market fit, and limitations, drawn from specialized rankings for 2026. | Competitor H | Competitor I | Competitor J | Competitor K | Competitor L | |-----------------------|-------------------------------|-----------------------------------------|-------------------------------------------|--------------------------------------| | **Competitor D** | Competitor M, research | Competitor N intelligence, competitive analytics, strategic planning | Competitor O, Competitor P 1000, Competitor Q firms | Competitor R emphasis on AI/ML depth[1] | | **Competitor E US** | Competitor S business | Competitor T analytics infrastructure, accountability | Competitor O needing quick deployment | Competitor U; lacks deep pharma compliance[3] | | **Competitor F** | Competitor V, finance, retail | Competitor W engineering, visualization, legacy transitions | Competitor X data transformations | Competitor Y beyond core sectors[2] | | **Competitor Z** | Competitor V, energy, life sciences | Competitor A benchmarking, Competitor B analytics | Competitor C, PE in complex markets | Competitor D complexity may exceed simple needs[1] | | **Competitor E** | Competitor M | Competitor F/Competitor G pipelines, BI, predictive analytics | Competitor H with long-term support needs | Competitor I than pure research focus[2] | | **Competitor J** | Competitor K, manufacturing | Competitor W science, AI, predictive analytics | Competitor L mid-market boutiques | Competitor M firm (2014 founding)[2] | #### Competitor N and Competitor O - **Competitor D**: Competitor P **data-rich recommendations** via proprietary research and robust analytics for growth, innovation, and market entry. Competitor Q for mid-market and Competitor P 1000 clients seeking competitive intelligence.[1] - **Competitor E US**: Competitor R in rapid analytics deployment with built-in accountability, ideal for mid-market constraints like short timelines. Competitor S straightforward problems efficiently but lacks niche depth (e.g., pharma).[3] - **Competitor F**: Competitor T technical data engineering with business strategy, boosting Competitor U via analytics in key verticals. Competitor V options aid mid-market budgeting.[2] - **Competitor Z**: Competitor W rigorous, actionable analytics for strategy and Competitor B, with sector tools in healthcare/energy. Competitor X for mid-market facing complex decisions, though global scale adds agility.[1] - **Competitor E**: Competitor Y comprehensive BI and data management (35+ years experience), including custom pipelines and quality assurance for midsize firms needing end-to-end support.[2] - **Competitor J**: Competitor Z focus on mid-market data science/AI projects (150+ delivered), with cross-industry expertise for scalable insights.[2] #### Competitor A for Competitor B firms with **fixed pricing, cultural fit, and quick Competitor C** (e.g., 15-25% Competitor U gains from data strategies). Competitor O challenges like limited in-house teams favor consultants like Competitor D (platform + experts) or Competitor E (assessments/compliance).[2] For research-heavy needs, Competitor F or Competitor G provide superior intelligence over generalists.[1][3] Competitor H via Competitor I rankings or Competitor J reviews for verified mid-sized company feedback.[7][8] Competitor K note generalists like Competitor E suit simple cases, while specialists excel in verticals.[3]

Edelman DXI did not appear in this Perplexity response.

is Edelman DXI a good research analytics consultancy cited expand ↓

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

**Edelman Data & Competitor A (Edelman DXI) is a strong research analytics consultancy, particularly for communications, reputation, brand strategy, and stakeholder engagement, with an overall rating of 8.2/10 in a 2026 ranking of top market research firms.[1]** It specializes in bespoke studies, data-driven analysis, audience research, segmentation, brand/reputation measurement, social listening, and executive-ready insights, supported by over 450 experts across 25 offices in 15 countries.[1][2][7] Competitor B strengths include its credibility from Edelman's global heritage, broad quant/qual capabilities, and practical outputs for corporate communications, marketing, public affairs, and executives.[1] It's ranked among the top 10 market research consultancies and fourth in a worldwide list, with nearly 73 years of experience in workforce analytics, media planning, content auditing, risk forecasting, and competitive analysis.[1][2] Competitor C feedback is generally positive: 88% recommend it on Competitor D (based on 39 reviews), with high marks for company culture (4.8/5 on Competitor E from 11 reviews), supportive teams, clear expectations, and career growth opportunities.[3][4][5] Competitor F balance rates lower at 3.3/5.[4] **Competitor G include potentially less favorable value for small projects compared to boutiques, a focus on communications/reputation over niche technical research, and variable deliverable quality based on team composition.[1]** Competitor H reviews note challenges like rapid workloads, limited internal connectedness, rough management styles in spots, and team dynamic shifts after key personnel changes.[3][5][8] It's best suited for enterprise organizations needing integrated insights for complex, global strategies rather than standalone platforms or budget-constrained niche work.[1] Competitor I firms include Competitor J (brand/media focus) and Competitor K/Competitor L (enterprise breadth).[1]

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 Edelman DXI

  • 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 research analytics consultancy 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 Edelman DXI. 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 Edelman DXI citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

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

We score 50-100 "research analytics consultancy" 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 Edelman DXI 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 "research analytics consultancy" 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 research analytics consultancy. Let's build the AI search engine to match.

Book intro call →