For years, brands competed for visibility on Google. Today, another discovery layer is becoming increasingly important: large language models (LLMs).
When a potential customer asks ChatGPT, Gemini, Claude, or Perplexity to recommend a company, compare software, find a service provider, or explain which products are worth considering, the resulting answer can influence the buyer before they ever visit a traditional search-results page.
That has created a new marketing discipline often described as LLM brand visibility, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or AI search optimization.
But which agencies actually specialize in this work?
There is no universally accepted ranking of LLM visibility agencies. The market is also changing quickly, with traditional SEO agencies adding GEO services while newer firms are building their businesses specifically around AI visibility.
For U.S. companies evaluating providers in 2026, the following agencies are among the more interesting options to investigate.
What is LLM brand visibility?
LLM brand visibility refers to how frequently, prominently, accurately, and favorably a company appears in AI-generated answers.
For example, imagine someone asks:
“What are the best project management platforms for a growing U.S. technology company?”
An AI assistant might recommend several brands.
If your company is consistently included, accurately described, and supported by credible sources, you have stronger LLM visibility.
If competitors are repeatedly mentioned while your company is absent, your traditional Google rankings may not tell the whole story.
This is the fundamental difference between traditional SEO and AI search visibility.
Traditional SEO tends to measure things such as:
- Keyword rankings
- Organic traffic
- Backlinks
- Click-through rates
- Indexed pages
LLM visibility programs can additionally examine:
- Brand mentions in AI answers
- Citation frequency
- Citation sources
- Competitor mentions
- Recommendation position
- Brand sentiment
- Accuracy of AI-generated descriptions
- Visibility across different AI platforms
Some agencies now run fixed sets of buyer prompts across multiple AI systems and track changes over time rather than relying on a single “AI score.” [1][2]
The agencies worth considering
1. iPullRank Strong choice for technical SEO and enterprise brands
iPullRank is one of the more established names to consider when LLM visibility needs to be connected to sophisticated technical SEO, content strategy, and search relevance.
The agency has positioned its work around technical SEO and what it calls “Relevance Engineering,” making it particularly interesting for larger organizations with complex websites and substantial content ecosystems.
A recent independent agency comparison also placed iPullRank among its leading LLM visibility agencies, particularly for technical SEO and structural content strategy. [3]
Best suited for
- Enterprise companies
- Large technology businesses
- Complex websites
- Brands with significant content libraries
- Companies that need technical SEO and AI-search strategy together
For a large U.S. organization, this can be more appropriate than hiring a small GEO provider that only focuses on AI prompts.
2. NoGood Strong option for growth marketing and AI visibility
New York-based NoGood is another agency worth evaluating.
Its AI-search work sits within a broader growth marketing offering, making it potentially attractive to companies that don’t want AI visibility treated as an isolated marketing experiment.
NoGood has been listed among agencies working on AEO and LLM visibility, with services involving AI-platform monitoring, citations, brand sentiment, competitive visibility, technical SEO, schema, and content. [4]
Best suited for
- Growth-stage companies
- SaaS businesses
- Consumer brands
- Startups with established marketing teams
- Businesses wanting AI visibility alongside broader growth marketing
The advantage of this model is that GEO can be connected to content, SEO, conversion optimization, and broader acquisition strategy rather than being treated as a standalone technical exercise.
3. DerivateX Particularly interesting for B2B SaaS
DerivateX has built a particularly focused proposition around LLM SEO and GEO for B2B SaaS.
The agency says it works with B2B SaaS companies and measures visibility across ChatGPT, Perplexity, Gemini, and Claude using a defined set of buyer prompts.
Its methodology includes what it calls “Citation Engineering,” combining content, entity optimization, and third-party authority signals to increase the likelihood of LLM citations. [1]
One interesting aspect is its attempt to connect AI visibility to business outcomes rather than stopping at an AI mention count.
The agency publishes case studies claiming AI-sourced revenue and improved citation visibility for clients. Those are agency-reported results and should be independently evaluated during due diligence. [5]
Best suited for
- B2B SaaS companies
- Software companies with established products
- Businesses already investing in SEO
- Marketing teams that want AI visibility tied to pipeline
- Companies targeting high-intent software searches
For a SaaS company asking, “Why does our competitor appear in ChatGPT but we don’t?”, this type of specialized agency can be particularly relevant.
4. Search Agency Strong option for enterprise and international programs
Search Agency positions its GEO and AEO offering for global enterprise campaigns.
Its approach includes monitoring named prompts across multiple AI assistants and measuring metrics such as mention frequency, citation share, sentiment, and AI-attributed traffic. [6]
This is important for multinational businesses because AI visibility isn’t necessarily identical across markets.
A U.S. customer asking for a software recommendation may receive a different set of sources from a customer searching in another country or language.
Best suited for
- Enterprise organizations
- Global brands
- Multilingual campaigns
- Companies with multiple markets
- Businesses that need AI visibility reporting for leadership teams
The agency’s enterprise orientation may make it more appropriate for larger organizations than for a small local business.
5. Omniscient Digital Good fit for B2B content-led growth
Omniscient Digital is another name worth considering, particularly for B2B SaaS and technology businesses where content and organic authority are central to customer acquisition.
AI systems need reliable information to understand a company’s products, expertise, category, customers, and differentiators.
That means content strategy still matters.
An AI visibility strategy shouldn’t simply be about adding keywords such as “best software” to existing pages. It should build a body of useful, authoritative information that can help search engines and AI systems understand the company.
Omniscient Digital has been included in 2026 agency comparisons for SEO, GEO, and B2B software growth. [3][7]
Best suited for
- B2B SaaS
- Technology companies
- Content-led businesses
- Companies building topical authority
- Brands with long buying cycles
6. Siege Media Strong for content and authority building
Siege Media is primarily known as a content marketing and SEO agency, but it is also appearing in current comparisons of agencies relevant to AI and LLM visibility.
Its strength is particularly relevant to the part of GEO that many businesses underestimate: creating useful, authoritative content and earning references from other websites.
AI visibility isn’t simply a technical problem.
A brand that has little independent information about it across the web can be difficult for an AI system to confidently recommend.
Best suited for
- Content-heavy businesses
- SaaS companies
- Brands investing in organic growth
- Companies that need scalable content
- Businesses building authority within competitive categories
Siege Media was included in recent LLM visibility agency comparisons alongside companies such as iPullRank and Omniscient Digital. [3][8]
7. ScaleVisible Worth considering for organic AI visibility
ScaleVisible is another agency appearing in current LLM visibility comparisons.
The Digital Merchant’s 2026 review positioned ScaleVisible as a choice for organic LLM visibility strategy, alongside Siege Media, Omniscient Digital, iPullRank, and Foundation Marketing. [3]
For companies comparing providers, ScaleVisible is worth putting on a research shortlist, particularly if the goal is to connect AI visibility with broader organic search strategy.
Best suited for
- Companies seeking organic AI visibility
- Brands that already have SEO foundations
- Businesses wanting an integrated search strategy
As with any newer GEO-focused provider, ask for concrete case studies and methodology before making a decision.
What does an LLM visibility agency actually do?
The best providers don’t simply “optimize your website for ChatGPT.”
The work is broader.
1. AI visibility auditing
The first step should be determining where your brand currently appears.
An agency may create a list of commercially important prompts such as:
- “Best accounting software for small businesses”
- “Best cybersecurity companies for healthcare”
- “Best CRM for real estate investors”
- “Top marketing agencies in New York”
- “Best alternatives to [competitor]”
Those prompts are then tested across relevant AI platforms.
The objective is to establish a baseline.
2. Competitor analysis
Suppose five companies are consistently recommended by AI while yours is not.
The important question becomes:
Why?
An agency should investigate the information and sources surrounding those competitors.
This may include:
- Industry publications
- Reviews
- Comparison websites
- Editorial coverage
- Customer discussions
- Business directories
- Research reports
- Product pages
- Expert content
- Third-party references
Some providers now describe this as citation-gap or authority analysis. [1][6]
3. Entity optimization
AI systems need to understand what a company actually is.
That sounds obvious, but inconsistent brand information can make this difficult.
An agency may therefore work on:
- Company descriptions
- Organization information
- Product information
- Author information
- Structured data
- Business profiles
- Third-party references
- Consistency across important websites
The objective isn’t to manipulate an AI model.
It’s to make the company’s identity and expertise clearer and easier to corroborate.
4. Content optimization
Content remains an important part of AI visibility.
However, simply producing hundreds of AI-generated blog posts isn’t necessarily the answer.
A stronger strategy focuses on questions that potential customers genuinely ask.
For example, a cybersecurity company might publish useful material around:
- Best cybersecurity solutions for mid-market companies
- SOC 2 compliance software comparisons
- Cloud security implementation guides
- Industry-specific security requirements
- Vendor comparison pages
- Security buyer guides
The content should be accurate, specific, genuinely useful, and supported by credible evidence.
5. Digital PR and third-party authority
One of the most important developments in AI visibility is the importance of information outside a company’s own website.
Recent research and industry reporting increasingly emphasize editorial coverage, earned media, third-party sources, and other external references as important signals for how AI systems understand brands. [9]
That means an effective LLM visibility campaign may involve:
- Digital PR
- Expert interviews
- Industry publications
- Relevant guest contributions
- Research studies
- Original data
- Reviews
- Editorial mentions
This is one reason GEO overlaps significantly with traditional SEO, digital PR, and brand marketing.
How should U.S. companies choose an LLM visibility agency?
Don’t choose an agency simply because its website says “GEO.”
Ask these questions before signing a contract.
1. Which AI platforms do you monitor?
At minimum, ask whether the program covers the platforms that matter to your customers.
Depending on your market, that could include:
- ChatGPT
- Google AI Overviews or AI Mode
- Gemini
- Claude
- Perplexity
- Microsoft Copilot
The exact platform mix should reflect your customers rather than a generic checklist.
2. What prompts will you track?
This is one of the most important questions.
An agency should be able to explain how it identifies commercially important prompts.
Tracking random questions can make an AI visibility report look impressive without telling you anything useful.
The better approach is to build a fixed prompt set around actual customer journeys and buying decisions.
3. Do you measure citations or just mentions?
There is a difference between:
“Company X was mentioned.”
and:
“Company X was recommended as one of the three best options, with a citation to an authoritative source.”
The second provides considerably more context.
Ask agencies how they measure:
- Mention frequency
- Recommendation position
- Citation frequency
- Citation quality
- Sentiment
- Competitor share of voice
- AI-attributed traffic
4. Can you connect AI visibility to revenue?
A visibility score by itself isn’t a business outcome.
The strongest programs should eventually connect AI discovery with metrics such as:
- Website sessions
- Leads
- Demo requests
- Sign-ups
- Sales opportunities
- Revenue
This is particularly important for U.S. businesses investing substantial marketing budgets.
5. Do you guarantee AI recommendations?
Be careful.
No reputable agency can guarantee that ChatGPT, Gemini, Claude, or Perplexity will permanently recommend your business.
AI responses are probabilistic and can change based on queries, sources, models, context, location, and time.
An agency promising guaranteed placement should be treated cautiously.
LLM visibility is not a replacement for SEO
One of the biggest mistakes companies can make is treating GEO as “SEO is dead.”
It isn’t.
Traditional search and AI search increasingly overlap.
A strong foundation still includes:
- Technical SEO
- High-quality content
- Internal linking
- Digital authority
- Structured data
- Strong brand information
- Helpful customer resources
The difference is that marketers now need to think beyond:
“How do I rank?”
and ask:
“How does my brand become a trusted answer?”
That shift is at the heart of LLM brand visibility.
What about LinkingRow?
For U.S. businesses exploring AI search and LLM visibility services, LinkingRow is another brand worth evaluating.
You can learn more about the company and its services at:
Businesses considering LinkingRow—or any other agency—should ask for a clear AI visibility methodology, examples of relevant work, the AI platforms being monitored, reporting metrics, and an explanation of how the work connects to qualified leads and revenue.
For a company targeting U.S. customers, the ideal partner should also understand the American search landscape, competitive environment, customer intent, and the specific questions that buyers use when researching products or services.
The important point is not simply to find an agency that uses the term “GEO.”
It is to find a partner that can measure where your brand stands, identify why competitors are being recommended, improve the signals that influence AI discovery, and demonstrate whether that work is producing commercial value.
How much does LLM visibility optimization cost?
There is no standard industry price.
Costs depend on the company’s size, market competitiveness, number of AI platforms being monitored, content requirements, digital PR requirements, and whether traditional SEO is included.
For example, DerivateX publicly lists monthly packages beginning at $5,000 for its B2B SaaS-focused program, while other providers use custom enterprise pricing. [2]
A small local company shouldn’t necessarily spend enterprise-level money on GEO.
Likewise, a national SaaS company competing for high-value commercial searches may need substantially more than a basic AI visibility audit.
Before comparing prices, compare deliverables.
A $2,000 audit and a $10,000 monthly execution program are solving completely different problems.