7 Best AI SEO Agencies for B2B Companies

Four questions sort the category faster than any feature list.

Does the case study reach revenue? "We grew citations 300 percent" is a starting point, not a result. Ask what happened to trials, demos or pipeline afterward.

Is SEO treated as one strategy or two? Agencies running GEO as a separate workstream tend to duplicate effort and produce two sets of numbers nobody reconciles.

Who actually runs the account? Ask to speak to the strategist who would own your program, and ask what they would do in the first 90 days. Vague answers here are the most reliable red flag in the category.

What do they refuse to do? Credible agencies can explain what they deliberately avoid. Schema tricks and FAQ stuffing are usually old tactics in new packaging.

Best for: enterprise and mid-market brands with large, complex sites needing deep technical work.

Founded in 2014 by Mike King, whose published research on query fan-out and passage retrieval is treated as foundational reading in the category. Its Relevance Engineering framework operates at the level of embeddings, retrieval and entity modeling rather than keywords.

Client roster includes SAP, American Express, HSBC, Nordstrom and Citi, with more than $4B in reported organic search results. Documented outcomes include a 253 percent lift in AI Overview citations for a telecom client and 661 percent growth in ChatGPT visibility for a vehicle platform.

Consider: the flagship AI Search Strategy program runs $15,000 per month on a six-month minimum, which rules it out for most mid-market budgets. It is scoped as strategy and deliverables, so confirm what ongoing monitoring is included before you assume it.

Best for: enterprise companies wanting GEO capability inside a full-service agency.

Founded in 2002 by Wil Reynolds, B Corp certified, with 200-plus staff across Philadelphia and San Diego. Clients include LinkedIn, Intuit, Capital One and Autodesk. It has published monthly AI search studies since January 2023, cited by Forbes and eMarketer among others.

For an outdoor-living brand, Seer restructured 11 priority articles for zero-click formats and grew AI Overview citations 344 percent over five months, adding 414 new citations that drove 65 percent of month-over-month visibility gains.

Consider: pricing is not published and the Clutch rating sits at 4.0 from a small review base. Full-service breadth is the thing to probe, so ask how GEO outcomes get tied to pipeline rather than reported as visibility alone.

Best for: Series A and later B2B SaaS, technology and established professional services companies.

Virayo treats SEO and GEO as a single strategy rather than two channels, and anchors the work at the bottom of the funnel. That means product and feature pages, competitor comparisons and pain-point content, which is both what high-intent buyers research and what LLMs lean on to ground answers.

The differentiator is Virayo AI, its proprietary platform. It runs weekly GEO and technical SEO audits and identifies the specific actions that lift citation and mention rates across priority prompts, rather than reporting visibility after the fact. A Virayo AI MCP exposes those insights directly inside Claude, so clients query citation and visibility data in their own workflow instead of waiting for a monthly deck.

Alongside on-site work, the team pursues mentions in the external sources AI engines reference most heavily, including industry publications, review sites, directories and third-party listicles.

The proof is unusually specific on pipeline rather than visibility. TestRail now draws more than 2,000 referral visits and 25 to 30 qualified trial signups per month from LLMs, and Syncro generated 580 AI Overview placements with an AI visibility score above 80 percent across tracked prompts.

On the traditional side, SPOTIO attributes 1,700-plus demos and $2.8M in new ARR to organic, with CEDREO growing from roughly 6,000 to over 70,000 organic visits per month.

Clutch rating is 4.8 from 12 reviews, and the client list includes Sprout Social, MYOB and Brandfolder.

Consider: B2B only, so it is not a fit for local or ecommerce businesses, and it is not built for seed-stage companies without established positioning. Engagements start from $7,500 per month on a six-month commitment before moving monthly, and the model assumes internal buy-in to treat GEO as an ongoing discipline.

Best for: B2B tech and SaaS teams needing visibility across Reddit, YouTube and earned media.

Founded in Halifax in 2014 by Ross Simmonds, whose "Create Once, Distribute Forever" thesis holds that distribution breadth determines whether AI systems encounter your brand at all. Clients include Canva, Procore and Jobber, with 220 million organic visits reported across its base and a Clutch 100 placement for 2026.

Its distribution stack is the widest here, covering Reddit strategy, YouTube, LinkedIn authority programs and digital PR for earned citations. It reports LLM visibility gains above 2,400 percent for some brands. Clutch rating is 5.0 from 14 reviews.

Consider: the model assumes you already have content worth distributing or the editorial capacity to produce it. Case studies are largely anonymized, and pricing is custom.

Best for: product-led B2B SaaS and scaled consumer companies wanting experiment-led work.

Led by Ethan Smith, who teaches SEO and AEO at Reforge and has had research published in the Financial Times and The Atlantic. Clients include Webflow, Notion, Adobe and MasterClass.

Graphite is the rare agency running matched test-and-control experiments with reported statistical significance. For Webflow it grew the AI channel from near zero to roughly 8 percent of total signups, with LLM-sourced visitors converting at around six times the rate of Google traffic, and published the methodology behind it.

Consider: pricing is not published, and the tracking tool is sold separately from the agency engagement. If your buying cycle is sales-led with multiple stakeholders rather than self-serve, ask how the experiment model adapts to longer cycles.

Best for: mid-market and enterprise B2B SaaS teams wanting low commitment risk.

Founded by Jules Davies, SaaS-only, built on the thesis that buyers shortlist software across Google, AI search, Reddit, YouTube, Wikipedia and third-party listicles long before booking a demo. It works with 45-plus SaaS clients and reports against demos, SQLs and ARR rather than pageviews.

Delivery runs through a dedicated pod with direct Slack access. For Qwilr it drove a three to five times increase in LLM citations alongside more qualified leads from AI search. Clutch rating is 5.0 from five reviews.

Consider: SaaS only, and explicitly not built for pre-product-market-fit teams. Pricing is custom, though it runs month to month with no minimum. Ask what tooling sits behind the pod if you want platform-level reporting rather than analyst-led.

Best for: B2B SaaS and services companies wanting done-for-you content held accountable to conversions.

Founded in 2015 by Benji Hyam and Devesh Khanal, who coined "Pain Point SEO" in 2018. Across 100-plus clients it has built a reputation for tying content to signups rather than traffic, and has extended that into AI search with proprietary tools for GEO tracking and content production.

For Smartlook it built a dedicated article per high-intent keyword rather than thin landing pages, growing content-attributed conversions past 600 per month over 16 months. Clutch rating is 4.8 from 10 reviews.

Consider: it takes a limited number of clients, and flat-rate pricing is reported around $8,000 to $10,000 per month. The model is content-led, so ask how it handles offsite surfaces like Reddit and YouTube if those matter in your category.

Shortlist three, then put the same brief to each. Ask what they would do in your first 90 days for a company at your stage, in your category, and compare the specificity of the answers rather than the polish.

Ask for references who can speak to AI search work specifically. Plenty of agencies have satisfied SEO clients. Fewer have clients who can describe what changed in their AI visibility and pipeline, because the work is newer than the case studies suggest.

Match support level to what you actually need. Some agencies advise while your team executes, others handle content, offsite mentions, technical work and reporting end to end. A mismatch here is among the most common reasons these engagements fail.

If you are not certain you need an agency yet, run your own baseline first. A month of monitoring with AI visibility tools tells you how far behind you actually are, and gives you a number to hold every proposal against.

1. What is an AI SEO agency?

An agency that works to get your brand found, cited and recommended inside AI search across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews, rather than only ranking pages in traditional search results.

2. How much does AI SEO cost for a B2B company?

Published figures on this list run from around $7,500 per month at the lower end to $15,000 per month for enterprise programs. Several agencies quote custom pricing only, so budget for a scoped proposal.

3. Is GEO different from SEO?

The mechanics overlap heavily, which is why some agencies run them as one strategy. The difference is that AI search rewards content structured for retrieval and citation, plus mentions in the third-party sources models already reference.

4. How long before AI search work shows results?

Most engagements here assume six months, though citation changes can appear faster than pipeline impact. Ask each agency what it expects to move in the first 90 days and what it does not.

5. What should I measure?

Citations and share of voice across the models your buyers use, referral traffic from LLMs, and conversions attributed to those visits. If an agency stops at citation counts, ask what else it tracks. Visibility that never connects to pipeline is how these programs lose budget in year two.