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SEO for AI search agencies in 2026, and what SEO for AI search means to each

The market sells the same work under three names, and its published definitions do not agree on what the names mean. Of the ten companies that sell under the SEO for AI search or LLMO name, none also use AI search visibility or AI answer optimization for it on their own pages, and none publish a method with a complete question set a buyer can read.

By the Broadcastwell teamPublished 18 September 2026Fact dates appear with each recordSources checked 17 Sep 2026

What the count shows

Key findings

  1. 0 of 10companies selling under the SEO for AI search or LLMO name also use AI search visibility or AI answer optimization for the same service on their own pages.
  2. 3published definitions of LLMO set side by side below, and they draw the lines in three different places.
  3. 6 of 10publish a price on their own site; none can be paid for without a call.
  4. 0 of 10publish a method with a complete question set a buyer can read.

How this page was scored

The eight criteria every Broadcastwell comparison page uses, read on each company's own site on 17 September 2026, plus one row specific to this page.

Method

Method published, and at least one complete question set public: a study dataset, an index, a public sample or a named case.

Open data

Open data published with a DOI.

Engines

Engine coverage stated by name.

Price

Entry price published and buyable without a call.

Refund

Refund or guarantee terms published.

B2B cases

Named B2B software case studies on the site.

Reviews

Third party reviews, with the count.

Machine readable

The buyer's own AI can read the results, through an account, an export or a connector.

Yes means a reader can verify it on the company's own site. Partial means part of it is published, for example a price that is published but sold only through a call. No means the company's own site does not publish it. Not verified means the cell was not read for this page, and it never counts as a Yes.

The method criterion, defined tightly: Yes means the method is published and at least one complete question set is public, in a study dataset, an index, a public sample or a named case. Partial means a method is described but no question set is public. No means neither.

Reviews come from the shared scorecard, read on Clutch and G2 on 16 September 2026. Companies that are not on the scorecard show Not verified for reviews.

Who is included: a company that uses SEO for AI search, LLMO or LLM optimization on its own site, or publishes a definition or list under that wording. The row specific to this page records the exact wording and the page that uses it.

Three names, three published definitions

Each definition paraphrased from the seller's own page, with one short quoted phrase and the link.

Minuttia

How it draws the lines
Treats LLMO, AI search visibility and AI answer optimization as three different jobs: LLMO makes a brand understood by AI models, AI search visibility gets it cited in AI search, and AI answer optimization gets content selected as the direct answer to a question.
In its words
“ensure AI understands your brand”
Source
minuttia.com/best-llmo-agencies, read 17 September 2026

Onely

How it draws the lines
Treats AI SEO as the umbrella and the other three as tactics inside it: LLMO for visibility in model responses, AI search visibility for being cited by AI systems, AI answer optimization for snippets, voice answers and zero click results.
In its words
“optimizing content to be cited by AI systems”
Source
onely.com/blog/geo-aeo-aiseo-llmo, read 17 September 2026

NP Digital

How it draws the lines
Splits the terms by what the engine does with the content: AI answer optimization turns it into a direct answer, AI search visibility makes it a source generative engines surface, LLMO concerns how models understand entities.
In its words
“how large language models understand, interpret, and surface information”
Source
the NP Digital blog post, read 17 September 2026

A fourth reading disagrees with all three. Zupo states on its own page that AI search visibility, AI answer optimization, LLMO and AI visibility are used interchangeably and describe the same thing. None of the ten companies publishes a test that would separate the two positions.

All 10 at a glance

Eight criteria a buyer can verify, the same eight used on every Broadcastwell comparison page. The companies are listed alphabetically and none of them is ranked. Full detail in each entry below.

The 10 companies on this page, listed alphabetically, with best fit, published entry price and score out of eight
CompanyBest forEntry priceScoreJump to entry
Embarquepublished monthly price points$1.5k/month; $2,800/month; $5,200/month; $10k/month (3, 6 or 12 months paid quarterly)as of 17 Sep 20264 of 8View
Minuttiaa written line between LLMO, AI search visibility and AI answer optimization$5,000+ stated as a typical minimum in its llms.txt (checked 25 Sep 2026)as of 17 Sep 20261 of 8View
NP Digitalone line definitions in buyer wordsNot publishedas of 17 Sep 20261 of 8View
Omniusa published eight step sequenceNot publishedas of 17 Sep 20262 of 8View
Onelyside by side definitions of four termsNot verified; previous claim removed 29 Sep 2026as of 17 Sep 20261 of 8View
SEO.coma monthly price band on the service pageNot verified; previous claim removed 29 Sep 2026as of 17 Sep 20261 of 8View
Single Grainnaming the assistants it targetsNot publishedas of 17 Sep 20263 of 8View
Stratabeata named client roster and a starting monthly figureNot verified; previous claim removed 29 Sep 2026as of 17 Sep 20262 of 8View
WebFXa tier table with prompt counts per tierFrom $3k/month; eight tiers from Bronze to Global Enterprise+ with the top tier customas of 17 Sep 20261 of 8View
Zuposaying the terms describe one jobNot publishedas of 17 Sep 20261 of 8View
YesPartialNoOne segment for each of the eight criteria, in the order of the scorecard.

The list

Embarque: best for published monthly price points

4 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesYes
  • PricePartial
  • RefundYes
  • B2B casesYes
  • ReviewsYes
  • Machine readableNo

What they do well

  • Publishes four monthly price points on the home page, which most agencies in this set do not.

Limitations

  • The money-back guarantee is named in the hero with no conditions or timeframe published, and every buy button opens a Calendly booking.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, results the buyer's own AI can read.
  • Published in part: an entry price payable without a call.

Minuttia: best for a written line between LLMO, AI search visibility and AI answer optimization

1 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesNo
  • PricePartial
  • RefundNo
  • B2B casesNo
  • ReviewsYes
  • Machine readableNo

What they do well

  • Publishes a written distinction between LLMO, AI search visibility and AI answer optimization and states a minimum project size.

Limitations

  • Names no clients and no engines on its own services pages.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, the engines by name, refund or guarantee terms, named B2B software case studies, results the buyer's own AI can read.
  • Published in part: an entry price payable without a call.

NP Digital: best for one line definitions in buyer words

1 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesNo
  • PriceNo
  • RefundNo
  • B2B casesNo
  • ReviewsYes
  • Machine readableNo

What they do well

  • Gives a one-line functional definition for each of AI answer optimization, AI search visibility and LLMO in buyer words.

Limitations

  • The page carries no data, no method, no engine list and no price; the only route is Book a Call.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, the engines by name, an entry price payable without a call, refund or guarantee terms, named B2B software case studies, results the buyer's own AI can read.

Omnius: best for a published eight step sequence

2 of 8verifiable yeses
  • MethodPartial
  • Open dataNo
  • EnginesYes
  • PriceNo
  • RefundNo
  • B2B casesYes
  • ReviewsNot verified
  • Machine readablePartial

What they do well

  • Publishes an eight-step sequence including prompt and fan-out query mapping, citation and source analysis and llms.txt work, and names six engines.

Limitations

  • States it onboards up to 8 clients per year and publishes no price; the eight steps carry no question set or classification rules.
  • Not found on the pages read: open data with a DOI, an entry price payable without a call, refund or guarantee terms.
  • Published in part: a method with a complete question set public, results the buyer's own AI can read.
  • Not verified for this page: third party reviews.

Onely: best for side by side definitions of four terms

1 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesYes
  • PriceNo
  • RefundNo
  • B2B casesNo
  • ReviewsNot verified
  • Machine readableNo

What they do well

  • Publishes side-by-side definitions of AI search visibility, AI answer optimization, AI SEO and LLMO with the engines each targets.

Limitations

  • Sells AI search visibility with no price and a discovery call as the only route.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, an entry price payable without a call, refund or guarantee terms, named B2B software case studies, results the buyer's own AI can read.
  • Not verified for this page: third party reviews.

SEO.com: best for a monthly price band on the service page

1 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesYes
  • PricePartial
  • RefundNo
  • B2B casesNo
  • ReviewsNot verified
  • Machine readablePartial

What they do well

  • Names seven surfaces including Google AI Mode and Google AI Overviews and states a monthly price band on the service page.

Limitations

  • The three named cases are an equipment dealer, a mower maker and an accreditation body, not B2B software.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, refund or guarantee terms, named B2B software case studies.
  • Published in part: an entry price payable without a call, results the buyer's own AI can read.
  • Not verified for this page: third party reviews.

Single Grain: best for naming the assistants it targets

3 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesYes
  • PriceNo
  • RefundNo
  • B2B casesYes
  • ReviewsYes
  • Machine readablePartial

What they do well

  • Names five assistants it targets (ChatGPT, Google's conversational AI, Perplexity, Claude, Copilot) and lists custom LLM visibility dashboards as a deliverable.

Limitations

  • No price appears anywhere on the service page; every call to action routes to Start a Conversation.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, an entry price payable without a call, refund or guarantee terms.
  • Published in part: results the buyer's own AI can read.

Stratabeat: best for a named client roster and a starting monthly figure

2 of 8verifiable yeses
  • MethodPartial
  • Open dataNo
  • EnginesYes
  • PricePartial
  • RefundNo
  • B2B casesYes
  • ReviewsNot verified
  • Machine readablePartial

What they do well

  • Publishes a starting monthly figure and a named client roster, and names six engines including Google AI Overviews.

Limitations

  • Refers to internal studies of 5,000 to 15,000 data points that are not published and carry no question set.
  • Not found on the pages read: open data with a DOI, refund or guarantee terms.
  • Published in part: a method with a complete question set public, an entry price payable without a call, results the buyer's own AI can read.
  • Not verified for this page: third party reviews.

WebFX: best for a tier table with prompt counts per tier

1 of 8verifiable yeses
  • MethodPartial
  • Open dataNo
  • EnginesYes
  • PricePartial
  • RefundNo
  • B2B casesNo
  • ReviewsNot verified
  • Machine readablePartial

What they do well

  • Publishes an eight-tier table with a stated prompt count and asset count per tier, and names nine AI surfaces.

Limitations

  • Does not use SEO for AI search or LLMO wording, and the top tiers and the proposal both require contact.
  • Not found on the pages read: open data with a DOI, refund or guarantee terms, named B2B software case studies.
  • Published in part: a method with a complete question set public, an entry price payable without a call, results the buyer's own AI can read.
  • Not verified for this page: third party reviews.

Zupo: best for saying the terms describe one job

1 of 8verifiable yeses
  • MethodNo
  • Open dataNo
  • EnginesNo
  • PriceNo
  • RefundNo
  • B2B casesNo
  • ReviewsYes
  • Machine readableNo

What they do well

  • States plainly that AI search visibility, AI answer optimization, LLMO and AI Visibility are functionally describing the same thing.

Limitations

  • Publishes no price for itself, names no engines on the page and lists no agency prices either.
  • Not found on the pages read: a method with a complete question set public, open data with a DOI, the engines by name, an entry price payable without a call, refund or guarantee terms, named B2B software case studies, results the buyer's own AI can read.

The data

Version 2026-09. 10 rows, read 17 September 2026.

Cite this page: SEO for AI search agencies in 2026, and what SEO for AI search means to each. Broadcastwell. Originally recorded 18 September 2026. https://broadcastwell.com/best-llm-seo-agencies

What this page does not prove

This page records what each company publishes on its own site on the date beside it. It does not measure the quality of anyone's work, it does not rank outcomes, and a company that publishes less is not necessarily worse at the job. Pages change; a cell is only true for its read date.

The name a company sells under says nothing about the quality of the work. This page shows that the names are used loosely; it does not show that any one definition is right.

About the publisher

Broadcastwell publishes this list and sells Answer Operations. We do not score ourselves here. Read the two $490 entry scopes and the full ladder on our pricing page. Prices and terms. Our methodology. Three named client accounts. We do not claim a third-party review score here.

Questions

What is SEO for AI search?

It is one of three names for work that aims to get a company named in AI generated answers. The other two are AI search visibility, AI search visibility, and AI answer optimization, AI answer optimization. Some sellers use LLMO, large language model optimization. The definitions on this page show that the companies using these names do not agree on where one ends and the next begins.

Is SEO for AI search different from AI search visibility?

It depends on who is selling. One published definition treats LLMO as making a brand understood by AI and AI search visibility as getting it cited; another treats both as tactics under AI SEO; a third says the names describe the same thing. Of the ten companies here, none use AI search visibility or AI answer optimization for the same service on their own pages.

How should we compare SEO for AI search agencies if the names do not match?

Ignore the name and compare what can be checked: the engines each one reads, whether the method and at least one complete question set are published, the price and whether it can be paid without a call, the refund terms, and whether the results reach your own systems. That is what the eight criteria on this page score.

How many SEO for AI search agencies publish a price?

Six of the ten publish a figure on their own site, and none let a buyer pay without a call.

Is Broadcastwell an SEO for AI search agency?

It does not use the name. Broadcastwell measures which vendors AI engines name in a category, who is named instead of you and the sources behind those answers, and sells that as AI search visibility work. It publishes this page and does not score itself on it.

Answer Repair is $490 for one buyer question and one completed source-backed page or fix, Live or Handoff, due 48 elapsed hours after recorded Ready. Agency Deadline Audit is $490 per client report for ten agreed buyer questions, dated answer evidence, three prioritized fixes and one paste-ready change of 250 words or fewer. Findings are due within 48 hours of recorded scope confirmation. Read /pricing and the versioned /terms for each scope and refund condition.

One buyer question. One completed repair.

Answer Repair is $490 for one source-backed page or fix. Choose Live or Handoff before payment. We confirm Ready within 60 minutes during business hours. If anything is missing, a member of our team contacts you directly and finishes it with you.

Due 48 elapsed hours after recorded Ready. If we miss the deliverable or deadline, we initiate a full $490 refund within five business days. You keep the work. You may also request a full refund within 30 days of delivery.

Fix one answer, $490

Read every scope and price · Versioned terms

Related pages

Rankings

The 10 best AI search visibility agencies in 2026The best AI SEO agencies for B2B in 2026The best AI answer optimization agencies in 2026The best AI search visibility agencies for B2B software companies in 2026The best AI search visibility agencies in 2026The best white label AI search visibility partners in 2026The best AI visibility audit services in 2026The best AI visibility tools in 2026The best AI search visibility companies in 2026The best AI search visibility agencies for B2B software teams in 2026The best Google AI Overviews agencies in 2026The best AI search visibility agencies for cybersecurity in 2026The best AI search visibility agencies for fintech in 2026AI search visibility agencies, measuredWhich agency for LLM search visibilityChatGPT and Perplexity visibility agencies

Buyer tools

Who ranks the rankers: every list auditedThe AI search visibility agency scorecardWhat AI search visibility agencies charge in 2026The AI search visibility agency RFP: 25 questionsAI search visibility agencies with guaranteesBuy AI search visibility without a sales callAI visibility tools with MCP and API accessFree AI visibility checkers, tested

Comparisons and alternatives

Broadcastwell vs ProfoundBroadcastwell vs Peec AIBroadcastwell vs OtterlyAIBroadcastwell vs OpenRushOmniscient Digital alternativesMinuttia alternativesHamster Garage vs RampiqOmniscient Digital and ZupoSemrush AI Visibility Toolkit alternativesAhrefs Brand Radar alternativesAthenaHQ alternatives

Research and pricing

The published method, v1.1The 2026 State of GEOThe Absence IndexPricing

Agencies and vendors named here can request a correction at hello@broadcastwell.com. Corrections are made on the page with the date.

One buyer question. One completed repair.

We build one source-backed page or fix for $490. Choose Live or Handoff before payment. We confirm Ready within 60 minutes during business hours. If anything is missing, a member of our team contacts you directly and finishes it with you. The deadline is 48 elapsed hours after recorded Ready.

If we miss the deliverable or deadline, we initiate a full $490 refund within five business days. You keep the work. You may also request a full refund within 30 days of delivery.

Fix one answer, $490

Agency Audit, $490 · Read every scope and price

Broadcastwell

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