Why this playbook exists

Imagine a hiring manager needs a recruiting firm specializing in senior finance roles in New York. Instead of browsing a directory, they ask ChatGPT: “What are the best recruiting agencies for senior finance positions in New York?” Within seconds, they have a shortlist, and they may decide whom to contact before visiting a website.

Candidates are doing something similar: asking AI which recruiters to trust, which employers offer promising career opportunities, what it is like to work for a company, and how its hiring process works.

When AI answers, does your organization show up? And is the information accurate?

Answer Engine Optimization (AEO) is the practice of improving how easily AI-powered search and answer engines can discover, understand, cite, and recommend your organization.

The opportunity is significant. A study of 391 recruiting firms by Loxo integration partner Redsun found that even its strongest-performing category, executive search, scored only 17% on its AEO-readiness measure. That suggests many recruiting organizations have considerable room to improve how they appear in AI search.

This playbook explains how AI search works, what influences your visibility, and how to improve it through four practical areas: technical accessibility, content, third-party credibility, and analytics.

Part 1: Why AI search matters to recruiters

Recruiting is a relationship-driven business. Many agencies get a significant portion of their business through referrals and professional networks. So you might wonder whether AEO is really something you need to worry about.

But think about what happens after someone recommends your firm.

A hiring manager may ask ChatGPT to compare you with other agencies before reaching out. A candidate who hears about an opportunity might ask Gemini about the employer's culture and reputation before applying.

AI has become another voice in the conversation about your organization, potentially drawing on information you haven't reviewed in years.

And there are three compelling reasons why recruiters should pay attention to that conversation.

1. AI search adoption is massive, and growing

AI search is no longer a niche technology used by a handful of early adopters. Hundreds of millions of people are turning to tools like ChatGPT, Gemini, and Google's AI-powered search experiences to research questions, evaluate options, and make decisions.

And that includes the people recruiters want to reach.

Hiring managers are asking which recruiting firms specialize in their industry. Candidates are researching recruiting firms and potential employers. Business leaders are comparing agencies, evaluating expertise, and building shortlists.

Consider questions like these:

• Which executive search firms specialize in healthcare leadership?
• What agencies recruit for early-stage technology startups?
• How does Agency A compare with Agency B for finance recruiting?
• Which companies offer strong data-science careers in Boston?
• What is the work environment like at Company X?

As more people incorporate AI into their research and decision-making, the information these platforms provide becomes increasingly important to how your organization is perceived.

The opportunity is no longer theoretical. Your prospective clients and candidates are already using AI to find and evaluate organizations like yours.

2. AI search traffic can convert at significantly higher rates

The volume of AI search is impressive, but there's another reason to pay attention: the people using it may be particularly valuable.

Think about the questions listed above; those aren’t casual browsers. They’re people who are already evaluating their options and moving toward a decision.

Someone asking, “Which recruiting firms specialize in CFO placements for private equity-backed companies?” may already be preparing to engage an agency.

Similarly, a candidate asking AI to compare two potential employers may be getting close to deciding where to apply.

These are questions that can directly influence business decisions.

Research cited by Loxo's AEO expert, Elie Daccache, found that visitors arriving through AI search converted to signups at four times the rate of visitors from traditional organic search in Ahrefs' analysis. While that finding reflects one company's experience rather than a universal benchmark, it illustrates the potential value of AI-driven traffic.

For agencies, that could translate into more qualified client inquiries. For in-house recruiting teams, it could mean reaching candidates who are actively evaluating career opportunities.

Being visible when someone is ready to make a decision can be far more valuable than simply attracting more website visitors.

3. The window of opportunity may be closing

Here's where timing matters.

AI search is still a relatively new discovery channel, and many recruiting organizations haven't adapted their online presence to it.

In a study of 391 recruiting firms conducted by Loxo integration partner Redsun, even the strongest-performing category, executive search firms, achieved an AEO-readiness score of just 17%.

That suggests many recruiting organizations have considerable room to improve their visibility.

But this early opportunity won't necessarily last.

As AI platforms continue to grow, competition for visibility is likely to increase. More businesses will invest in making their content discoverable, building their reputations, and earning recommendations.

At the same time, AI platforms are beginning to introduce advertising into their search experiences. As paid placements expand, they could create additional competition for attention and change how prominently organic recommendations appear.

We've seen similar dynamics in traditional search and social media, where growing competition and the expansion of advertising have made organic visibility harder to earn.

That doesn't mean organic AI visibility will disappear, or that advertising will necessarily reduce it in the same way across every platform. But waiting until everyone else is investing in AEO may make it harder to stand out.

Recruiting organizations that start building their AI visibility today have an opportunity to establish relevance, credibility, and a stronger online presence while many competitors are still figuring out where to begin.

And unlike paid advertising, much of the foundational work involved in AEO, from improving your website to publishing useful content and strengthening your reputation, can continue delivering value over time.

The sooner you start, the more time you have to build on that foundation.

Part 2: How AI decides who gets found

SEO and AEO are closely related, and many of the same best practices apply to both. But they work differently. 

Traditional search engines primarily rank and display web pages based on their relevance to a search query, while AI-powered answer engines can retrieve information from multiple sources, evaluate what's relevant, and combine it into a direct response. 

That difference matters because ranking well in traditional search doesn't automatically mean your organization will be cited, mentioned, or recommended in AI-generated answers. To understand how to improve your AI visibility, it helps to know a little about how these systems work behind the scenes.

How AI turns a question into an answer

When someone asks ChatGPT to recommend a recruiting firm, how does it decide which organizations to include?

AI platforms use different approaches, but many AI search systems use a process called retrieval-augmented generation (RAG). In simple terms, the AI retrieves information relevant to a question and uses it to construct an answer.

Two concepts help explain how this works: query fan-out and semantic similarity.

1. Query fan-out: One question becomes many searches

Imagine a hiring manager asks ChatGPT:

“Which executive search firms in New York are best for hiring CFOs at private equity-backed companies?”

That's a fairly specific question, but answering it well requires looking at several things.

Rather than relying on one search, an AI search system may break the question into multiple related searches. This is called query fan-out.

For example, it might explore:

• Executive search firms specializing in CFO placements in New York
• Recruiting agencies with private equity portfolio-company experience
• Firms with a track record of placing senior finance leaders
• Client reviews and recommendations for specialist executive search firms
• Case studies demonstrating successful CFO searches

The AI can then bring information from these different searches together to develop a more complete response.

Why this matters for AEO: Your organization has more opportunities to appear when you publish useful information addressing the different aspects of a client's question.

A specialist service page might help establish your expertise in CFO recruiting. A case study could demonstrate experience with private equity-backed companies. A client testimonial might provide evidence of your results.

Together, those sources help build a more complete picture of why your agency might be relevant.

2. Semantic similarity: How AI connects related information

AI doesn't rely exclusively on matching the exact words in a question to the exact words on a website.

Many retrieval systems use a technique called embeddings, which represent text as numerical coordinates in a multidimensional space.

Think of it as a map of meaning.

Information about similar subjects tends to appear closer together on that map, while unrelated information tends to appear farther apart.

For example, these phrases describe closely related concepts:

• CFO executive search
• Chief financial officer recruitment
• Hiring senior finance executives
• Finance leadership placements

Even though they use different words, an AI system can recognize that they're discussing similar topics.

Now compare those phrases with “temporary warehouse staffing.” That describes a very different recruiting specialization, so it would generally be represented farther away on the map.

When someone asks about CFO executive search, a retrieval system can compare the meaning of the question with the meaning of available content. Information that's closer in meaning may be considered more relevant.

This is one reason clear, specific content matters so much.

A page describing your experience placing CFOs at private equity-backed companies provides stronger evidence of that specialization than a homepage that simply says you connect great people with great opportunities.

Why this matters for AEO: You want your organization to be strongly associated with the topics, industries, roles, and problems that matter to your audience.

That doesn't mean repeating the same keywords everywhere. It means developing useful, connected content that demonstrates your expertise from different angles.

3. Relevance and retrievability: Getting your information into the answer

Once an AI system has identified what it's looking for, two additional factors become important.

Relevance: Does your information help answer the question?

If someone asks about hiring CFOs for private equity-backed companies, a detailed case study about that exact type of placement is highly relevant.

A generic description of your recruiting services is much less useful.

Retrievability: Can the system actually find and access your information?

Your content also needs to be available to the systems retrieving information.

If your best case study is hidden in an inaccessible document, your service pages are blocked from relevant crawlers, or important details aren't available as readable text, AI search systems may struggle to use them.

In retrieval-based systems, documents may also be broken into smaller passages, or chunks. The system identifies the passages most relevant to the question and uses them to help construct its response.

That means each important page should communicate its subject clearly, rather than relying on visitors to piece together your expertise from vague messaging scattered across the website.

4. Bringing it all together

Let's return to our hiring manager looking for a CFO executive search firm in New York.

The AI may explore several related searches, identify content that's semantically relevant to the question, retrieve useful passages from multiple sources, and combine that information into an answer.

It might find your agency's CFO recruiting page, a case study about a private equity client, and a third-party article discussing your firm's expertise.

Those sources could contribute to the answer in different ways.

Your article might be cited as a source. Your agency might be mentioned among relevant firms. Or the AI might recommend your organization because the available evidence suggests you're a strong fit.

Those are three distinct outcomes, and each has different factors that influence it.

Let's look at them individually.

Part 3: Citations, mentions, and recommendations

Now that we understand how AI finds and uses information, let's look at what visibility actually means.

There are three important outcomes to pay attention to: citations, mentions, and recommendations.

They can overlap, but each represents something different. And the factors that help you achieve them aren't necessarily the same.

1. Citations: Become a source AI can use

A citation happens when an AI-generated answer links to or references a source supporting the information it provides.

Imagine a hiring manager asks:

“What should I look for when choosing an executive search firm to hire a CFO?”

The AI provides several evaluation criteria and cites an article your agency published about selecting executive search partners.

Your content has helped shape the answer, even if the AI hasn't explicitly recommended your firm.

What matters most: Accessibility and accuracy

To earn citations, AI systems need to be able to find your content, understand it, and use it as a relevant source.

That means paying attention to two things.

Make your content accessible. Important information should appear on clearly structured, crawlable pages. Technical barriers, blocked crawlers, and difficult-to-read formats can limit whether AI systems can retrieve it.

Make your information accurate and useful. Publish clear answers to real questions. Keep your services, specializations, locations, and other business details up to date.

And remember that AI can cite many sources beyond your own website.

Those might include industry publications, professional directories, review platforms, community forums, social media, and even competitors' websites.

You want the information about your organization to be accurate wherever it appears.

What this looks like in practice

Instead of publishing a generic article titled “Why Work With an Executive Search Firm?”, consider creating a guide to evaluating executive search partners for CFO placements.

You could cover relevant industry experience, questions to ask during the selection process, typical search timelines, and how to assess a firm's track record.

That gives AI something substantive to draw on when answering a related question.

For an in-house recruiting team, the equivalent might be a detailed page explaining your engineering interview process, career progression, or approach to flexible working.

The goal is to publish useful information that AI can find and reference when answering relevant questions.

2. Mentions: Become an organization AI recognizes

A mention happens when an AI system names your organization in its answer, with or without a link.

For example, someone asks:

“Which recruiting agencies specialize in financial services in London?”

The AI lists your agency alongside several competitors.

Your organization has become part of the answer, even if the system doesn't explicitly recommend it or cite your website.

What matters most: Popularity and relevance

For mentions, the challenge extends beyond making your own website accessible.

AI systems also encounter information about organizations across the wider web.

Research discussed by Loxo's AEO expert, Elie Daccache, has found correlations between broader brand visibility and appearances in AI-generated answers, reinforcing the value of building a recognizable presence.

Consider two agencies.

• Agency A describes itself as a financial services recruiting specialist on its website, but there's little information about it elsewhere.
• Agency B has a similarly focused website, but its name also appears in industry publications, professional discussions, relevant directories, client reviews, and expert interviews.

Agency B has more independent information connecting its name to financial services recruiting.

That broader presence makes it easier for AI systems to associate the agency with the relevant specialization.

What this looks like in practice

Building mentions means giving people more opportunities to encounter and discuss your expertise.

You might:

• Contribute insights to industry publications and professional communities.
• Encourage clients to share authentic reviews.
• Publish original research, customer stories, and recruiting insights.
• Participate in relevant conversations on LinkedIn and other platforms.
• Keep your specialties and positioning accurate across directories and professional profiles.

You’re not just trying to be mentioned as often as possible, but rather to build a consistent association between your organization and the expertise you want to be known for.

If you specialize in healthcare executive search, for example, that should be evident wherever people encounter your agency online.

For in-house recruiting teams, the same principle applies to your employer brand. Employee stories, industry recognition, professional communities, and credible coverage of your workplace can all contribute to how your organization is represented.

The more clearly and consistently your organization is associated with relevant expertise, the stronger its foundation for appearing in related AI conversations.

3. Recommendations: Become an organization AI suggests choosing

Recommendations are especially valuable because they connect your organization to a specific need.

Imagine a hiring manager asks:

“Which executive search firm would you recommend for a private equity-backed company hiring its first CFO?”

The AI suggests your agency and explains that your experience placing financial leaders at portfolio companies makes you a relevant option.

That's a recommendation.

The AI has gone beyond naming your organization. It's presenting a reason someone should consider choosing you.

What matters most: Relevance, credibility, and consistency

Three qualities provide a useful framework for understanding what supports recommendations.

Relevance: Are you a good fit for the question?

AI needs clear information about who you serve, what you specialize in, and which problems you solve.

An agency that specializes in senior healthcare leadership should make that expertise obvious through its service pages, case studies, and published insights.

Compare these two descriptions:

“We recruit talented professionals for growing businesses.”

“We place senior finance leaders at venture-backed technology companies across the UK.”

The second description makes it much easier to understand when that agency might be relevant.

For in-house recruiting teams, relevance means communicating which career opportunities you offer, the skills you hire for, and what makes your organization a good fit for particular candidates.

Credibility: Is there evidence supporting your claims?

Any agency can claim to deliver exceptional results, but credibility comes from demonstrating those results.

Client testimonials, measurable placement outcomes, case studies, industry recognition, and third-party coverage can provide evidence of your experience.

Instead of simply saying you're an expert in technology recruiting, show the roles you've filled, the industries you've worked in, and the results your clients have achieved.

For employers, employee stories, credible workplace reviews, and detailed information about career development can help support your employer brand.

Consistency: Does the information about you tell the same story everywhere?

Imagine your website says you specialize in executive search, but your directory profiles describe you as a general staffing agency, while older articles emphasize temporary placements.

Those conflicting descriptions can make it harder for AI systems to establish a clear picture of your organization. And that confusion means that AI might not talk about you at all.

Review how you're described across your website, professional profiles, directories, review platforms, and other external sources. If anything is inaccurate, reach out to ask the publisher to correct their information.

You don't need identical wording everywhere. But the core information about your expertise, audience, and services should be accurate and consistent.

How the three outcomes work together

Citations, mentions, and recommendations aren't necessarily sequential stages.

An organization can be recommended without its website being cited. A useful article can be cited without the publisher being recommended. And an employer can be mentioned without a link to its careers page.

But together, these outcomes give you a useful way to understand your AI visibility.

For recruiters, the ultimate goal is to be visible and accurately represented when prospective clients and candidates are making decisions.

That means creating information AI can access, building recognition around your expertise, and providing credible reasons to choose your organization.

Part 4: Start with an AI visibility audit

Before publishing new content, establish a baseline. You can start with free AI search tools and a spreadsheet.

1. Identify the questions people actually ask

Review business-development calls, client intake meetings, sales emails, candidate inquiries, and hiring-manager conversations.

Loxo AI Notetaker Agent transcripts can help reveal recurring questions. Remove personal or confidential information from transcripts before using third-party AI tools.

Choose 10–15 questions that matter to your business. Include discovery prompts, comparison prompts, and reputation questions.

Agency examples:

• Which firms recruit CFOs for startups?
• Who specializes in placing senior engineers in Germany?
• How does Agency A compare with Agency B?

In-house examples:

• What is the engineering interview process at Company X?
• Which employers offer remote data-science jobs?
• Is Company X a good place to work?

2. Test the questions in AI search

Ask the questions you’ve identified in different AI tools, like ChatGPT, Gemini, and Claude. Make sure your phrasing is natural and you don’t include your organization’s name in your prompt.

For example, “Which agencies recruit CFOs for UK startups?” tests discovery better than “Is ABC Recruiting good?”

Record the platform, date, prompt, whether your organization is mentioned, cited, or recommended, whether the answer is accurate, and any source URLs.

Results vary by platform, location, and session, so one answer is not a permanent ranking.

3. Audit positioning and proof

Check whether answers describe your specialties, geography, services, hiring policies, and audience correctly.

Look for outdated or negative information. Open cited sources to identify the pages influencing the answers.

Correct directory descriptions and website gaps that you can control. Ask the publisher to change any outdated or inaccurate information.

Pay particular attention to information that could affect someone's decision to contact your agency or apply for a role.

Part 5: Four steps to improving your AI visibility

Once you've established where you stand, you can start addressing the gaps.

Most AEO work falls into four areas:

• Technical: Making information accessible to AI systems.
• Content: Publishing information that answers relevant questions.
• PR and credibility: Building accurate, trustworthy visibility beyond your own website.
• Analytics: Measuring results and using what you learn to improve.

You don't need an elaborate technology stack or a massive content program to get started.

Focus first on the improvements most likely to make a difference for your organization.

Step 1: Make sure AI can access your website

Useful content is harder to discover when important pages are blocked, unindexed, or difficult to read.

Check whether pages are indexed

1. Search Google for site:youragency.com as a quick, incomplete indication of indexed pages.
2. Set up free Google Search Console: https://search.google.com/search-console/about
3. Use URL Inspection to check important pages such as services, specialties, careers, and FAQs.
4. If a page is not indexed, review the reported reason, fix the issue, and request indexing when appropriate.

Check crawler access

1. Visit https://youragency.com/robots.txt, replacing “youragency.com” with your own domain.
2. Look for rules that block important public pages or relevant crawlers.
3. Note: OpenAI identifies OAI-SearchBot as its search crawler; it is separate from GPTBot, which relates to training. 
4. Use free Bing Webmaster Tools (https://www.bing.com/webmasters/) to review additional indexing and crawl issues.
5. Ask your website administrator before changing robots.txt or security rules.

Check that your pages explain what you do

Important details should appear as readable text, not only images or brochures.

Use descriptive page titles, headings, navigation, and links.

An agency page called “Executive Finance Recruitment for UK Technology Companies” is more informative than a generic “Services” page.

In-house teams should explain career paths, work locations, hiring processes, and job families clearly.

Google advises that its normal search eligibility and helpful-content guidance apply to AI search features; special AI-only markup is not required. 

Step 2: Create content that answers real recruiting questions

Turn recurring client and candidate questions into useful, specific resources.

For an agency recruiting startup finance leaders, consider:

• When should a startup hire its first CFO?
• Fractional vs. full-time CFO: Which is right for your business?
• How to evaluate finance leaders for a Series B company

For in-house teams, consider:

• What to expect in our engineering interview
• Career paths for data scientists at our company
• How our hybrid working policy works

Make positioning specific: name the audience, roles, industry, geography, and situations in which you are relevant.

Support claims with firsthand evidence, case studies, hiring-manager expertise, and real examples.

Answer the main question early, use clear headings, and link to related resources.

Avoid generic AI-generated filler or unnatural keyword repetition.

Where Loxo fits: Recruiter conversations, intake calls, candidate questions, and recruiting outcomes contain valuable insights. Loxo can help organize those signals; recruiters and hiring teams provide the expertise that turns them into credible content.

Step 3: Build credibility beyond your own website

AI answers may draw on directories, industry publications, review platforms, professional communities, and social networks.

Review how your organization appears across these sources and correct outdated specialties, locations, services, or employer details.

Encourage authentic client reviews, candidate feedback, and employee stories, following each platform's policies.

Share original expertise where your audience spends time: industry articles, LinkedIn posts, webinars, or video interviews with descriptive titles and transcripts.

You don't need to be everywhere. Choose the channels where you can contribute useful evidence.

Keep your core positioning consistent across your website and external listings.

Consistency means a compatible, accurate description, not copying identical text everywhere.

Research has found associations between branded web mentions and AI visibility. That doesn't mean every LinkedIn post or review will lead directly to an AI recommendation, but it reinforces the value of building a recognizable presence around your expertise.

Step 4: Measure your visibility and improve over time

Recheck the same 10–15 high-priority prompts at regular intervals.

Track citations, mentions, recommendations, inaccuracies, and cited URLs.

Use Google Search Console for indexing and search performance, and analytics for identifiable AI referrals where available.

Not all AI-influenced discovery appears as a distinct referral; Google AI search activity is included within broader Search Console reporting.

Tie results to business outcomes.

Agencies can track qualified inquiries, meetings, and clients.

In-house teams can track relevant careers visits, applicants, and hiring outcomes.

Add “AI search” as an option when asking people how they heard about you, while allowing for multiple influences, such as referrals followed by AI research.

Each month, ask:

• Which prompts improved?
• Where are we absent?
• What inaccuracies persist?
• Which content or credibility gaps should we address next?

Part 6: Applying AEO to agency and in-house recruiting

Agency example: Become known for a niche

A firm specializing in finance leaders for private equity-backed companies currently describes itself as a full-service recruitment partner.

It could publish a specific specialty page, a permissioned client story, and insights about CFO hiring in that market; update relevant directory listings; and track:

“Which recruiters specialize in CFO placements for private equity-backed businesses?”

The goal is to build a clear, credible association between the agency and its specialization.

In-house example: Help candidates discover you

A manufacturer wants more automation engineers, but its careers site lists jobs without explaining the engineering team's work.

The TA team could publish career-path pages, employee interviews, and technical-project descriptions; review employer profiles; and track:

“Which manufacturers offer strong careers in industrial automation engineering?”

That gives prospective candidates, and the AI systems helping them research employers, more useful information about the opportunities available.

Part 7: Your first 30 days of AEO

Week 1: Find out where you stand

• Collect 10–15 real client or candidate questions.
• Test them in two or three AI search platforms.
• Record mentions, citations, recommendations, and inaccuracies.

Week 2: Check your website

• Inspect important pages in Google Search Console.
• Review crawler access and indexing problems.
• Check whether specialties and positioning are clear.

Week 3: Strengthen content and credibility

• Improve one key service or careers page.
• Publish one resource answering a real audience question.
• Correct outdated external listings and identify a genuine story.

Week 4: Measure and prioritize

• Repeat high-priority AI prompts.
• Document changes and unresolved issues.
• Schedule a monthly review and select your next priorities.

Wrapping up: Make sure AI knows what makes you worth recommending

AEO comes down to familiar principles: know whom you serve, communicate expertise clearly, back up claims with evidence, make information easy to find, and pay attention to how others describe you.

But understanding how AI search works gives those principles a new importance.

The information you publish, the sources that discuss your organization, and the consistency of your positioning all contribute to how AI systems may represent you.

You cannot control every AI-generated answer or guarantee a recommendation. You can improve the information available and correct inaccuracies.

Start with one question:

If someone asked AI to recommend an organization like yours today, what would it say?

Then use what you learn to decide what to improve next.

Sources and further reading

[1] Ahrefs, AI search traffic and conversion research: https://ahrefs.com/blog/ai-search-traffic/

[2] OpenAI, Overview of OpenAI crawlers: https://platform.openai.com/docs/bots

[3] Google Search Central, AI features and your website: https://developers.google.com/search/docs/appearance/ai-features

Free tools: Google Search Console (https://search.google.com/search-console/about); Bing Webmaster Tools (https://www.bing.com/webmasters/)