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MarketingSEONew YorkLLM Visibility Audit

Best LLM Visibility Audit Agencies in New York

33 vendorsNew York, USALLM Visibility Audit
No paid placements33 agencies scored404 case studies combined20 verified profilesUpdated September 2026
All SEOLocal SEOSmall BusinessB2B / SaaSEcommerceEnterpriseTechnicalAI Search
+28 more scenarios on the New York SEO page
Filter by monthly budget
All budgets< $2K/mo$2–5K/mo$5–15K/mo$15K+/mo2 of 33 agencies

LLM Visibility Audit shortlist — New York

Mimvi SEO logo
1
Top 1

Mimvi SEO

New York, NY, USAagencyTeam 10-49

New York City SEO agency focused on local visibility, lead generation, and founder-friendly execution.

LLM Audit specialist proof unclear
Included for broader SEO relevance; ask for concrete AI-search examples before treating this as a specialist shortlist match.
Local SEOSmall BusinessSEOGuest PostingLink Building+3Verify AI proofPricing disclosedVerify AI proofdigital pr10 case studies
Verified Apr 2026
70/100
GoodTop 45%
AI Fit
Verify AI proof
Proof
Strong proof
From $2K/mo
Do not treat standard SEO proof as AI visibility proof unless the vendor can show prompts, citations, answer coverage, or LLM visibility diagnostics.
View profileCompare
Brooklyn Marketing Company logo
2
Top 2Official Sources

Brooklyn Marketing Company

Brooklyn, NY, USAagencyTeam 10-49

Brooklyn digital marketing agency for local SEO, PPC, social, email, and web campaigns with transparent SMB pricing tiers.

LLM Audit specialist proof unclear
Included for broader SEO relevance; ask for concrete AI-search examples before treating this as a specialist shortlist match.
Local SEOSmall BusinessSEOVerify AI proofPricing disclosedVerify AI prooftechnical seo4 case studies
Verified Apr 2026
69/100
AverageBelow avg
AI Fit
Verify AI proof
Proof
Strong proof
From $1K/mo
Do not treat standard SEO proof as AI visibility proof unless the vendor can show prompts, citations, answer coverage, or LLM visibility diagnostics.
View profileCompare
How we rank these agencies
AI visibility evidence
Explicit AI-search, LLM, answer-engine, citation, or prompt-tracking proof ranks above generic SEO claims.
Entity and source work
Schema, entity clarity, source coverage, and public proof assets matter more for answer-led discovery.
Proof depth
Case studies, named clients, source citations, and visible methodology help separate real specialists from trend language.
Scenario fit
AEO, GEO, AI Search, and LLM audits have different deliverables, so vendors are re-scored by this exact intent.
Confidence score
Data completeness and profile freshness still affect the ranking when AI-specific proof is limited.

Scores are calculated automatically from structured data. No paid placement affects ranking position.

AI proof rules

What counts as real LLM Visibility Audit proof

We separate explicit AI-search evidence from generic SEO strength, so buyers know what still needs verification before outreach.

Open service hub
Strong proof

Named llm visibility audit work, AI answer visibility diagnostics, prompt/citation tracking, and before/after source coverage.

Acceptable foundation

Entity SEO, structured data, technical SEO, content architecture, digital PR, and source-quality work that can support AI visibility.

Weak signal

Generic SEO, local SEO, or content marketing claims without AI-search examples, answer coverage, citation evidence, or LLM visibility methodology.

Service Hub

This shortlist continues the SEO Audit hub

Use the hub to understand scope and buyer fit, then use this New York page to compare actual agencies, proof signals, and shortlist ranking for llm visibility audit.

Open SEO Audit Hub
What to verify before hiring for llm visibility audit
A baseline showing where the brand appears, is cited, or is missing in AI answer surfaces.
Entity and source consistency checks across the website, profiles, schema, and third-party mentions.
Content recommendations for answerability, topical coverage, and citation-worthy proof.
A plan to improve AI visibility without sacrificing normal organic search performance.
Measurement notes for prompts, answer patterns, citations, and share-of-answer changes.
How to read a New York llm visibility audit proposal

Ask how they measure AI visibility

The vendor should explain prompts, answer tracking, citations, source mentions, and how results differ from traditional rank tracking.

Check entity and source work

A credible scope should include entity clarity, structured content, schema, third-party source coverage, and proof assets that answer engines can trust.

Avoid vague AI claims

Treat generic 'AI SEO' language as weak unless the agency can show a diagnostic process, repeatable outputs, and concrete implementation tasks.

Compare LLM Visibility Audit in Other Cities

LLM Visibility Audit in Los Angeles

Los Angeles, USA shortlist with the same buyer context.

LLM Visibility Audit in Chicago

Chicago, USA shortlist with the same buyer context.

LLM Visibility Audit in Miami

Miami, USA shortlist with the same buyer context.

Frequently Asked Questions

What makes this LLM Visibility Audit shortlist different from the broader New York SEO page?

This page keeps the same market context but re-ranks vendors for llm visibility audit fit, using the intent definition, service signals, proof quality, and buyer context.

Should I start with the LLM Visibility Audit page or the broader SEO page?

Start here if you already know the problem is llm visibility audit. Use the broader SEO page when you are still deciding between multiple SEO workstreams.

Why does Vendar link this page back to the service hub?

The hub explains the service category, while this page compares vendors in New York. Together they form the path from service understanding to shortlist selection.

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