Best AI visibility agencies for B2B SaaS

There is now a crowded market of agencies selling some version of getting your B2B SaaS product named when a buyer asks an AI assistant. They use different words for it, AEO, GEO, AI visibility, AI search, and they are not interchangeable offers. The hard part of choosing between them is that most of the useful information is behind a call.

Ten agencies, each selling to B2B SaaS, each read from its own published pages. Nothing here comes from a directory, a review site or another agency's roundup. Where a fact is absent the table says so, because an absence is a finding when the question is what a firm is willing to put in writing.

One kind of company is deliberately absent. Software products that measure AI visibility are not in this list, because setting a tool licence beside an agency retainer is not a like for like comparison and the columns below would mean different things in each row. This page is about firms you hire to do the work. Anything we could not read on an agency's own site is recorded as not published rather than guessed at.

After building this comparison we read far more widely: 107 agencies, each from its own site, in November 2026. Of the 68 with a ranked list of agencies on their own site, 66 put themselves first, which is why this page carries no numbered order. The median published entry price among the 60 quoting US dollars was $3,000 a month, and 42 publish no price we could find. Fourteen promise an outcome, and 28 say nobody can. The full price table and method are in the AEO Agency Index. 15

Two of these are not really competing for the same brief. Animalz and Directive are a content agency and a full-service B2B marketing agency respectively, both of which now sell an AI visibility line alongside everything else. If the problem you are solving is narrow, a specialist is a different purchase from a generalist who has added the service. Neither is worse. They are answers to different questions.

One column that looked promising was dropped before publication. Naming the answer engines separates nobody: Discovered Labs, Optimist, Passionfruit, Scalerrs, Grizzle and Directive all name AI assistants somewhere in their copy, ChatGPT most often, and so do we. Listing the engines is table stakes rather than a differentiator, and a column where nine rows say the same thing is decoration.

Almost every agency here publishes a named framework. Discovered Labs has CITABLE, Optimist has the CORE Framework, Directive has DiscoverabilityOS, Grizzle has four pillars. These are useful for understanding how a firm thinks and they are not methods.

A method answers different questions. How many prompts do you run. How many times each, given that the same question returns different answers on different days. What do you compare the result against. What happens to a run that finds nothing. Naming the engines is easy and everybody does it. Those other numbers are the ones that decide whether a report means anything, and they are the ones almost nobody puts on a page.

An AI visibility agency should show you a measurement you could repeat without it. In Salienz's Audit Size Test, a snapshot of 15 questions put a brand anywhere from 1.5 to 12.3 percent of answers when its share over the full week was 6.7 percent, while the full set of 90 questions landed within about a point. A report built on the small version can show a gain that is only noise.

• A baseline of 90 to 100 buyer questions, the same set re-run every month, so a change is bigger than the noise.
• Each assistant your buyers use, reported separately. In the AI Security Shortlist Study, Reddit appeared in 51 percent of Google AI Overviews' recommendation answers and 1 percent of ChatGPT's, so one assistant's report says little about another.
• Citations of your website counted alongside mentions of your name. One company in that research was cited in 199 answers and named in 9.
• The raw answers and the pages each one cited, so the report can be checked by someone other than the agency.

Both studies are written up in when you need an AI visibility audit, and when you need a retainer and how cybersecurity companies get recommended by AI models.

Whether a direct competitor of yours can be a client at the same time is the difference between an agency working for you and an agency working in your category. It is a contract question rather than a marketing one, and it is published by very few firms in this set.

A capacity cap is not the same thing and is often mistaken for it. An agency saying it works with ten clients at a time has limited its workload, not its conflicts, and two of those ten can be direct rivals. We looked at this specifically across a different group of eight agencies in AEO agencies that take only one client per category, including where the distinction is drawn and what to ask before signing. Only one of the ten on this page publishes such a rule, which is us, and that is a fact about this particular set rather than about the market.

A comparison published by an entrant is worth nothing if every column happens to favour the publisher. Several here do things we do not.

• Animalz has an enterprise client list, naming Atlassian, Airtable, Amplitude and Auth0 among others, that we cannot match. If the buying committee needs recognisable logos on the pitch, that is a real advantage. 9
• First Page Sage states that it does not lock clients into long-term contracts. Our retainers run on 90-day terms, so anybody wanting to leave inside a month should prefer them. 10
• Grizzle sells video and YouTube alongside written content. YouTube is a genuine citation surface and we do not produce video. 8
• Directive covers paid media, lifecycle and PR in one place. If you want one agency for the whole funnel rather than a specialist for one part, a specialist is the wrong purchase. 11
• Optimist publishes a lower monthly entry point than we do, at $3,000 a month for an advisory engagement where the client executes. Its roadmaps also start lower, at $2,500. If budget is the binding constraint, that matters. 7
• Passionfruit also sells its own platform, Intelligence, for teams to run themselves. Where that platform is the deliverable a client wants, buying it from the firm that built it is reasonable. 6

Salienz works only with B2B SaaS companies, and within that takes one client per product sub-niche, which means the categories we are currently working in are closed and the ones we are not are open. The list below is where we are concentrating rather than a limit on what we will look at.

• Compliance automation, meaning SOC 2, ISO 27001 and GDPR tooling.
• SaaS security posture management, which is new enough that the citation field is close to empty.
• Identity and access management for the mid-market, where the enterprise answers are already settled and the tier below is not.
• API security, where the comparison content is thin and the buyers are heavy users of ChatGPT and Perplexity.
• Vulnerability management for the mid-market, where the enterprise names dominate and everything under them is invisible.
• Beyond security: legal tech including contract lifecycle management, finance and regulatory compliance, mid-market applicant tracking, and accounting and finance operations.

If your category is not on that list, it is more likely to be open than closed. If it is on the list, ask us which sub-niches are already occupied before you spend time on a call.

1. 01Decide first whether you want a specialist or a generalist who has added the service. That eliminates most of the list either way.
2. 02Ask every shortlisted agency for the method rather than the framework: prompt count, named engines, runs per prompt, and what the result is compared against.
3. 03Ask what happens to a run that finds nothing, and whether you will see it.
4. 04Name your two closest competitors and ask directly whether either could become a client. A capacity cap is not an answer to that question.
5. 05Get the rate before the call where you can. Four of the ten here let you, us included.