Zaphyre | Execution Service Partner – ESP

AI search optimization

AI Search Optimization (GEO + AEO) That Gets B2B Brands Cited

Our generative engine optimization services help B2B brands get named and cited when buyers ask ChatGPT, Google AI Overviews and Perplexity for a supplier. We fix entity clarity, rewrite pages so passages can be quoted, earn editorial mentions and check the answers every month.

  • Since 2018serving B2B companies
  • North Americacontent and authority programs
A radar sweep finds and highlights the sources an AI answer cites
In short

Generative engine optimization services make a B2B brand easier for AI systems to find, understand and cite. GEO covers generative engines such as ChatGPT, Gemini and Perplexity, and AEO covers answer engines and featured answers. The work combines clear entities, quotable page passages, structured data, crawler access and trusted third-party mentions.

Why it matters

Buyers now ask an AI assistant before they ask Google. If it does not cite you, you are not on the shortlist.

  • ChatGPT recommends your competitors
  • Your pages are hard for AI to quote
  • Nobody tracks AI citations

What it is

What are generative engine optimization services?

Generative engine optimization services make your company easier for AI systems to find, understand and quote. When a buyer asks ChatGPT, Gemini, Perplexity or Google's AI Overviews who can solve a problem in your category, the system assembles an answer from a small set of sources. GEO is the work of being one of those sources, and of being named correctly when the answer is written.

It is not a trick, and it does not replace SEO. The same foundations apply: a site that can be crawled, pages that answer real questions and a reputation that other sites confirm. What changes is the prize. In classic search you compete for a ranked link. In AI search you compete for a sentence inside an answer, and often for one name in a short list of vendors.

Zaphyre runs this work in the Content & Authority pod, beside B2B SEO services and SEO content writing, so the team that builds your pages also makes them citable.

GEO and AEO: what is the difference?

The terms overlap, and agencies use them loosely. Generative engine optimization (GEO) targets systems that write a fresh answer from several sources, such as ChatGPT, Gemini, Claude and Perplexity. Answer engine optimization (AEO) targets the short answer formats that search engines lift from a page, such as featured snippets, People Also Ask boxes and voice answers. Clear questions, direct answers and clean structure serve both, so buyers who search for answer engine optimization services, AEO services or generative engine optimization services usually want the same outcome. We plan the two as one program and report on both. Our post on AEO vs GEO vs SEO goes deeper on the differences.

Why does AI search matter for B2B?

B2B buying is research heavy. Committees compare suppliers over weeks, and more of that early research now begins with a question typed into an AI tool instead of a page of links. The buyer may never open your site before forming a shortlist. If the answer names three vendors and you are not one of them, you were filtered out before your sales team knew a deal existed. Answers that satisfy the question also keep people from clicking, which is part of the zero-click search shift.

Listed on independent B2B directories

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What we deliver

What our AI SEO services include

Each deliverable answers a reason an AI system might skip you. Buy the full program, or start with the baseline and decide from the evidence.

How AI picks sources

How do AI engines decide which brands to cite?

No AI company publishes a full ranking formula, and the systems change often, so anyone who sells a fixed recipe is guessing. What we can describe honestly is the pattern that shows up in public documentation, in how these tools behave and in the prompt checks we run. Three stages matter: finding candidate pages, choosing passages and checking whether the wider web agrees.

01Stage one: finding candidate pages

Most answer systems begin by retrieving documents. Some use their own crawlers, some lean on a classic search index and many use both. That means access and indexing still count. A page that is blocked, slow to render, hidden behind scripts or missing from the index cannot be a candidate. Google's AI Overviews draw on pages Google already indexes, so ordinary search eligibility is the entry ticket there.

02Stage two: choosing passages that answer cleanly

Once candidates exist, the system looks for passages it can lift with little editing. A paragraph that opens with the answer, defines its terms and stays on one topic is easy to quote. A paragraph that buries the point under scene setting is not. That is why we write in short, self-contained blocks, each led by the direct answer to one specific question.

03Stage three: checking whether the web agrees

Systems are cautious about naming a company that only describes itself. When independent sources confirm your category, services and strengths, the claim is safer to repeat. Those sources include industry publications, directories, partner pages and credible mentions. This corroboration is the slow part of the work and the part competitors find hardest to copy, so we plan it from the first month.

On the page

What makes a B2B page citable by AI?

Most pages fail for plain reasons. They never say who the company is in one clear sentence, they open with a story instead of an answer, and they make claims that nothing supports. Fixing those three problems does more than any tactic with a clever name.

Entity clarity: say who you are the same way everywhere

Systems build a picture of your company from many places: your site, LinkedIn, directories, press and partner pages. If those descriptions conflict, the picture blurs, or your company gets merged with a similarly named one. We write one short, factual description of the company, its services and its buyers, then apply it everywhere. On the site we add Organization markup and list your official profiles with sameAs properties so systems can connect them. We also make sure names, services and leadership details match across every profile.

Answer-first content: lead with the answer

Each important page answers its main question in the first lines, in plain words, then expands. Headings are written as the questions buyers ask. Definitions are stated once and stated cleanly. Claims sit next to their evidence: a method, a named source, a real example. Vague superlatives get cut because nothing can be quoted from them. Comparison pages say who each option suits, including when it is not you. This is also what good SEO content looks like, which is why we build it through SEO content writing.

Structured data: a supporting signal, not a switch

Structured data helps systems read a page's type, author, dates and questions. We add Organization, Service, FAQPage, Article and BreadcrumbList markup where it matches visible content, and we validate it. Search engines now show fewer FAQ rich results than they once did, but the markup still labels question and answer pairs clearly. We never add markup for content that is not on the page, and we do not treat it as a promise of citation.

The method

Our AI search optimization method in six steps

The work runs as a repeating cycle. Outreach and page work typically launch within the first two to three weeks, and results build over the first 90 days as pages, profiles and mentions are indexed and re-read.

01

Set the question list

We agree the buyer prompts that matter: category questions, comparison questions, problem questions and brand questions.

02

Run the baseline

We run the prompts across ChatGPT, Gemini, Perplexity and Google, and log whether you appear, how you are described, which sources are cited and which other vendors are named.

03

Fix entity and access first

We align how your company is described everywhere, correct conflicting facts, add structured data and clear any crawler or rendering blocks.

04

Rebuild the pages that matter

We rewrite or create the pages that answer your priority prompts: services, comparisons, definitions and guides.

05

Earn the mentions

We pursue expert quotes, editorial placements, partner pages and accurate directory profiles on sources your category already trusts.

06

Check, report, repeat

Each month we rerun the prompts, compare them with the baseline and report changes in mentions, citations and wording next to traffic and pipeline.

  1. Step 01

    Set the question list

    We agree the buyer prompts that matter: category questions, comparison questions, problem questions and brand questions. We group them by funnel stage and by the roles who ask them, so every later step ties back to a real buyer need.

  2. Step 02

    Run the baseline

    We run the prompts across ChatGPT, Gemini, Perplexity and Google, and log whether you appear, how you are described, which sources are cited and which other vendors are named. Answers vary, so we repeat runs and record patterns, not one-off results.

  3. Step 03

    Fix entity and access first

    We align how your company is described everywhere, correct conflicting facts, add structured data and clear any crawler or rendering blocks. These are the cheapest changes, and they make every later step count for more.

  4. Step 04

    Rebuild the pages that matter

    We rewrite or create the pages that answer your priority prompts: services, comparisons, definitions and guides. Each gets direct answers, plain proof, clear authorship and internal links to related pages.

  5. Step 05

    Earn the mentions

    We pursue expert quotes, editorial placements, partner pages and accurate directory profiles on sources your category already trusts. We choose fewer, better sources and we do not buy links.

  6. Step 06

    Check, report, repeat

    Each month we rerun the prompts, compare them with the baseline and report changes in mentions, citations and wording next to traffic and pipeline. Then we adjust the page and mention plan for the next cycle.

Compare

In-house team, generic agency or Zaphyre?

A general view of how each option tends to work for GEO and AEO, whether you are weighing a generative engine optimization agency, an AI SEO company or your own team. Every company is different, so treat it as a starting point for your own questions.

In-house team

  • Starting pointUsually an SEO team adding AI tasks to a full list
  • ContentWriters know the product but seldom write for quotable passages
  • Entity and structured dataNeeds developer time and one clear owner
  • Authority and mentionsSlow without a PR or partnerships function
  • MeasurementManual spot checks when time allows
  • PromisesNot applicable
  • AccountabilitySplit across SEO, content, web and PR owners

Generic agency

  • Starting pointOften an SEO package with an AI label added
  • ContentTemplate pages built for volume
  • Entity and structured dataOften limited to a schema plugin
  • Authority and mentionsVaries; ask whether placements are paid or earned
  • MeasurementRank screenshots or one vendor dashboard
  • PromisesVaries; ask what is being promised, since no one controls AI answers
  • AccountabilityOne channel, with hand-offs to your other teams
Our approach

Zaphyre

  • Starting pointA prompt baseline built from your buyers' real questions
  • ContentAnswer-first pages written by the team that runs your SEO content
  • Entity and structured dataEntity description, markup and profile cleanup run as one workstream
  • Authority and mentionsEarned mentions on sources your category already trusts; no paid link schemes
  • MeasurementScheduled prompt checks with the method documented, reported beside pipeline
  • PromisesNo promised citations; we report what changed and why
  • AccountabilityOne partner across SEO, content and authority work

If your in-house team already has strong writers or a PR contact, we build on that instead of replacing it. A short call is enough to see which gaps are real.

Free AI visibility check

Get a free AI visibility check

Tell us your market and a few buyer questions. We check who ChatGPT, Perplexity and Google AI answer with, and send you what we find.

  • Who AI assistants cite for your buyer questions
  • Where your pages are hard to quote
  • The first fixes, ranked by effort

No obligation. We reply by email.

Off the page

How do brand mentions, crawler access and measurement work?

The page is only part of the picture. What the rest of the web says about you, whether crawlers can read you and how you check the outcome decide whether the page work pays off.

01Citations and brand mentions

Independent confirmation matters. The sources that AI answers cite in a category are often publications, directories, review sites, association pages and partner sites. We look at which sources appear in answers for your prompts, then pursue accurate, earned presence there: expert contributions, data you can publish, integration and partner pages, and corrected profiles. Links help, and unlinked mentions can also teach a system that your brand belongs to a topic. We do not buy links or placements. Paid schemes carry risk and rarely read as real corroboration.

02Crawler access

AI products use different crawlers, such as OpenAI's GPTBot and OAI-SearchBot, Anthropic's ClaudeBot and PerplexityBot, alongside Google's and Bing's own. Your robots.txt file decides which of them can read your pages, and some sites block them by accident through an old rule or a security tool. We audit what is allowed, check that key pages render without a login or heavy scripts, and lay out the trade-offs of allowing or blocking training crawlers so you can decide. An llms.txt file is optional and we do not treat it as a ranking lever; we add one only if you want it.

03Measurement through prompt checks

AI answers are not a ranking you can read off one number. They vary by wording, by day and by user. So we measure by method. We fix a list of prompts, run them on a set schedule across the major tools, record mentions, citations and the way you are described, and compare month to month. You see the log. We pair it with analytics: referral traffic from AI tools where it shows up, branded search and the buyers who tell your sales team that an AI tool named you. Prompt checks show direction, not exact share, and we say so when the data is too thin to conclude.

Fit and pitfalls

Who needs AI search optimization services, and what goes wrong?

The program suits B2B companies with a clear category, some content or authority to build on, and buyers who research before they contact sales. It works best when your site already earns some search visibility, because AI systems often draw on indexed pages. If the site is new or thin, we start with the content foundation through B2B SEO services or a content strategy, then add the AI layer.

When you shortlist an AEO agency or a GEO agency, ask for the prompt list, the method and the log, not a screenshot. Good work can be inspected.

Common mistakes we see

These are the habits that waste the most effort.

  • Chasing prompts instead of buyers. Long lists of odd prompts look thorough, but a short list tied to real deals is more useful.
  • Publishing filler at volume. Thin pages written to look current give a system nothing worth quoting.
  • Treating schema as the whole job. Markup labels a page. It does not make a weak page better.
  • Blocking crawlers by accident. A forgotten rule can hide your best pages from every AI tool.
  • Buying mentions on weak sites. Paid placements on low-quality sites do not read as real corroboration.
  • Expecting a stable ranking. Answers change, so judge the trend over months, not a single run.

AI search also sits inside a larger system. To see how we run content, SEO and authority work as one accountable program, read about our Execution Service Partner model.

Included

What you get with an AI search program

  • A buyer prompt list agreed with your team
  • A baseline of mentions, citations and descriptions across the major AI tools
  • A written entity description applied to your site and profiles
  • Answer-first rewrites of your priority service and comparison pages
  • Structured data matched to the visible page and validated
  • A crawler and indexing review with a plain-language access policy
  • A target list of sources for earned mentions, with outreach handled for you
  • Monthly prompt checks with the method and log shared
  • Reporting beside your traffic, leads and pipeline

FAQ

Frequently asked questions

Still unsure?

Ask us directly

A 30-minute call is enough to see whether we can help. No obligation.

Book a Strategy Call+1 (571) 715-1688
What are generative engine optimization services?

Generative engine optimization services make a company easier for AI tools to find, understand and cite. For a B2B brand that means a clear entity description, answer-first pages, structured data, open crawler access and earned mentions on trusted sources, plus regular prompt checks to see what ChatGPT, Gemini, Perplexity and Google AI Overviews actually say.

What is the difference between GEO, AEO and AI SEO?

GEO targets generative tools that write new answers from several sources. AEO targets short answer formats such as featured snippets and voice answers. AI SEO is a looser label that often covers both. The work overlaps heavily, so we deliver answer engine optimization services and generative work as one program. See AEO vs GEO vs SEO for the longer explanation.

Can you promise that ChatGPT or Google AI Overviews will cite us?

No, and be careful with any agency that does. Nobody controls AI answers, and the systems change often. We can raise the odds by fixing what makes a brand easy to find and trust, and we show you the prompt-check results so you can judge the progress yourself.

How do you measure AI search results?

We fix a list of buyer prompts, run them on a schedule across the major tools and record whether you are mentioned, how you are described and which sources are cited. We repeat runs because answers vary, then report the trend next to AI referral traffic, branded search and leads. The log is shared with you.

How long does AI search optimization take?

Page, entity and access work typically launches within the first two to three weeks after planning. Results build over the first 90 days as pages and mentions are indexed and re-read. Timing depends on your site, your category and how much authority you already have, so we do not set a fixed date for citations.

Is Zaphyre a GEO agency, an AEO agency or an AI SEO agency?

Zaphyre is a B2B Execution Service Partner. We run AI search optimization services inside our Content & Authority pod, next to SEO, content and inbound work. If you are comparing an AI SEO agency, an AI SEO company and a generative engine optimization agency, the useful question is who owns the pages, the mentions and the reporting. We own all three.

Do you write the content, or only advise?

We do the work. Our team rewrites and creates the pages, handles structured data with your developers, runs the outreach for mentions and reports each month. If you prefer to run it yourself, the AI Search Playbook lays out the same method step by step.

Should we block AI crawlers on our site?

That is a business decision, and we lay out the trade-offs. Allowing search-focused crawlers makes it possible for AI tools to read and cite your pages. Some companies choose to block training crawlers for content or legal reasons. We audit your current rules first, because many sites block crawlers by accident.

What does AI search optimization cost?

Pricing is a custom quote. Scope depends on how many topics and prompts you want covered, the state of your site, the number of pages to rewrite or create, and how much authority work the category needs. A free AI visibility check is a good first step, and a short call is enough to scope the program.

Next step

Find out where AI tools place you today

Ask for a free AI visibility check. We will look at how AI tools describe your category and where you appear. No obligation.

Or call +1 (571) 715-1688  |  info@zaphyrpro.com

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