Get named when an AI picks your buyer's shortlist.
What this actually solves
Professional-services AI adoption almost doubled to 40% of organisations in 2026, up from 22% in 2025 (Thomson Reuters Institute, 2026 AI in Professional Services Report, 9 February 2026). Your buyers are already using it to shortlist firms. Clutch is the largest B2B services directory. It now runs its own app inside ChatGPT, feeding buyers verified provider data straight inside the conversation (Demand Gen Report, 12 May 2026). Searchmaxxed builds the service, comparison and credential pages that earn the citation. We corroborate you across directories, associations and press, then track every time a model names your firm instead of a competitor.
Where this usually goes wrong
Ask an assistant which firm handles a project like yours, and it names a competitor. Your firm never enters the answer.
A directory or trade body defines the shortlist criteria before your buyer ever reads your service page.
Your Clutch or association listing answers the credibility question, and the buyer never clicks through to your site.
Buyers search “best [service] firms in [city]” every month, and nobody at your firm has written that page yet.
What being the cited firm looks like
The goal is simple. When a buying committee asks an AI who to shortlist, your firm is the name it gives back.
Named in the shortlist
Ask ChatGPT, Gemini or AI Overviews to name firms for a project like this, and yours is in the answer. A buying committee finds you before they know your name.
Quoted on the definition
When a model explains how to choose a firm in your category, it uses the criteria you published. A directory's generic checklist gets replaced by your standard.
Present in every comparison
Every “best firms for” and “how to choose” search includes you, because you published the page and the credentials behind it.
Enquiries that arrive convinced
A committee reads your comparison, credentials and case work before they call. The first conversation confirms fit, not credibility.
The strategy we run to get you cited
Five phases, in order: the firm an AI names to a buying committee.
Map the committee and the answer set
Build the pages a model can quote
Run the comparison and versus programme
Build the source layer AI checks first
Run the loop against citation share
What has to be true in the answer
Credential
Comparison
Coverage
Fair questions.
Can you actually influence what an AI assistant says about our firm?
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How is this different from normal SEO?
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What happens when a model updates and the answer changes?
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How do you measure citation share?
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How do you build credibility when we cannot name our biggest clients?
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Can one program cover several service lines and markets at once?
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What does this cost?
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Do our senior people need to write the content themselves?
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Do you have a published result for a firm like ours?
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Where to go next
Go deeper on the mechanics behind this page.
AEO for B2B companies
Structured category, comparison, integration and credential facts so AI answers put your firm on the shortlist and cite it correctly.
GEO for B2B vendor shortlists
Publish the category, fit, implementation, risk and proof a B2B buying committee needs to discover, validate and shortlist your firm.
B2B SEO for long sales cycles
Build B2B SEO around long research cycles, multiple decision-makers, comparison intent, proof and pipeline measurement.
The Off-Page Source Layer
How we build the credentials, directory listings and independent mentions AI systems check before they cite or recommend you.
AEO vs SEO vs GEO
Where AI visibility fits next to classic rankings, and why most B2B firms need both built on shared foundations.
Pricing
Two retainers, entry options and the full production-unit breakdown behind the Growth System and Agentic Search Engineering.