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agisearchlabs.com

Answer engine optimization (AEO) and GEO for B2B: we get ChatGPT, Copilot, Gemini and Google AI Overviews to recommend your company by name.

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What is AGI Search Labs?

AGI Search Labs is a B2B agency focused on AI visibility — getting tools like ChatGPT, Copilot, Gemini, Perplexity, Claude and Google AI Overviews to find, cite and recommend a company by name. Its core services are answer engine optimization (AEO) and generative engine optimization (GEO): auditing, rebuilding and monitoring a site so AI answer engines can crawl, parse and quote it.

What it actually does

The work is organized around four moves, each addressing a different reason AI systems skip a site:

  • Technical audits — checking whether AI crawlers can reach and parse pages, including robots.txt rules for each assistant's crawler, JavaScript-free readability, structured data, sitemaps and llms.txt.
  • AI-optimized content — rewriting pages so models can extract and cite clear answers rather than marketing prose.
  • Visibility monitoring — tracking an AI visibility score alongside the commercial value behind it, so improvements can be tied to pipeline rather than vanity mentions.
  • Fixing rather than just reporting — the site positions its differentiator as remediation, contrasting itself with AI visibility tools that only surface data.

A useful next step

If you want a quick read on whether this matters for your site, start with the free instant check: it tests your domain's public files against the crawlers behind the six assistants and reports back in about ten seconds without requiring an email. If crawlers are blocked or your pages depend on JavaScript, that is the first thing to fix — no amount of content work will surface a page that models cannot read.

The broader context the site cites: B2B buyers increasingly shortlist vendors inside chat tools before visiting a website, so being absent from those answers means losing the deal before the first page view. The practical decision criterion is simple — if your buyers ask AI assistants for vendor recommendations in your category, visibility there is worth auditing; if they buy through channels where AI never enters the research, the return is lower.

How do I check if AI crawlers can access my website?

You check by testing the public files AI crawlers read before they ever render your page: your robots.txt rules for each crawler, whether your key content is in the raw HTML or only appears after JavaScript runs, your XML sitemap, your structured data, and—increasingly—an llms.txt file. AGI Search Labs offers a free instant check that does exactly this: you enter a domain, and in about ten seconds it reviews robots.txt against the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot and Google AI Overviews, checks whether pages are readable without JavaScript, and inspects structured data, sitemap and llms.txt. No email is required, and it reads only public files. AGI Search Labs

Run the checks yourself

  1. Fetch your robots.txt. Visit yourdomain.com/robots.txt and search for GPTBot, ClaudeBot, PerplexityBot, Google-Extended and Bingbot. A Disallow: / against any of these blocks that assistant from your site.
  2. View source, not the rendered page. Open a key page and use "View Page Source." If your headline, pricing and product copy aren't in the raw HTML, JavaScript-only rendering may hide them from crawlers that don't execute scripts.
  3. Confirm your sitemap. Check that sitemap.xml resolves and lists your important pages, and that robots.txt points to it.
  4. Check structured data. Use a rich-results or schema validator to confirm your Organization, Product and FAQ markup parses cleanly.
  5. Look for llms.txt. Try yourdomain.com/llms.txt. If it 404s, you simply don't have one yet—it's an emerging convention, not a universal requirement.

A quick way to read the results

What you find What it means Practical next step
Crawler blocked in robots.txt That assistant can't cite you at all Allow the specific user-agent, or scope the block to irrelevant paths
Content missing from raw HTML Crawlers may see an empty page Server-render or pre-render key pages
No sitemap or broken sitemap Discovery depends on links alone Publish a clean sitemap and reference it in robots.txt
Invalid structured data Fewer machine-readable signals about your entity Fix the markup for your organization and offerings
No llms.txt No curated summary for AI systems Optional: add one if you want to guide how models read your site

If you'd rather not audit manually, the free check gives you a starting baseline, and AGI Search Labs positions its paid work as fixing the problems its tools surface—its own framing is "AI visibility tools tell you. We fix it." AGI Search Labs For a second opinion on crawler behavior across engines, the official documentation from OpenAI and Google Search Central lists the exact user-agent names and crawling rules to test against.

What is the difference between AEO and GEO?

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are closely related practices that both aim to get your company named in AI-generated answers, but they address different layers of the problem.

AEO focuses on the mechanics of being findable and parseable. It asks: can ChatGPT, Claude, Perplexity, Gemini, Copilot and Google AI Overviews actually crawl your site, read your pages, and cite your content? Typical AEO work includes checking whether robots.txt blocks AI crawlers, ensuring pages render without JavaScript, cleaning up structured data and sitemaps, and publishing an llms.txt file. If an AI crawler can't reach or parse a page, nothing downstream matters.

GEO focuses on being selected and recommended once a model can read you. It's about how your content is written, structured and positioned so a generative model chooses to mention your company by name when a buyer asks for a shortlist of vendors. That means shaping content around the questions buyers actually ask, making claims easy to quote, and building the kind of coverage that models draw on.

Where the difference shows up

AEO GEO
Core question Can AI reach and parse us? Will AI choose and cite us?
Typical work Crawler access, rendering, structured data, sitemaps, llms.txt Content framing, question coverage, quotable claims, authority signals
Failure symptom You're invisible because you're unreadable You're readable but never named
Who owns it Often web/SEO engineering Often content, brand and demand gen

AGI Search Labs treats the two as one engagement, describing four moves that each close "a different reason answer engines skip over a website," starting with technical audits to make sure AI crawlers can reach and parse the site, then AI-optimized content. That framing is useful: AEO is the prerequisite, GEO is the payoff.

How to decide where to start

Run the diagnostic before the strategy. Check your robots.txt against the major AI crawlers and confirm your key pages render without JavaScript. If crawlers are blocked or pages are unreadable, fix AEO first — GEO spend on content nobody can parse is wasted. If access is clean but AI assistants still name competitors instead of you, the problem is GEO, and the work shifts to content and positioning.

How do I get ChatGPT or Perplexity to recommend my B2B company by name?

Getting named by ChatGPT or Perplexity is less about persuasion and more about being citable. These assistants recommend companies whose pages they can crawl, parse, and quote as a source. If your site blocks AI crawlers, renders content only via JavaScript, or buries its positioning in vague marketing language, you won't be in the pool of candidates no matter how good your product is.

The four levers that matter

  1. Crawler access. Check your robots.txt against the bots behind ChatGPT, Perplexity, Claude, Gemini, Copilot and Google AI Overviews. A single disallow rule can remove you from an entire assistant's answers. AGI Search Labs runs a free instant check that reads public files only — robots.txt, llms.txt, sitemap, homepage — and reports whether AI crawlers can reach your pages without JavaScript, plus whether your structured data and sitemap are in order. That's a sensible first diagnostic before you spend money on content.
  2. Content shaped for extraction. Answer engines quote passages, not homepages. Pages that state clearly what you do, who it's for, and how it compares to alternatives — in plain sentences near the top — are far easier to cite than pages that open with brand storytelling.
  3. Third-party corroboration. Models weigh what other credible sources say about you. Review sites, comparison pages, documentation, analyst mentions and community threads all feed the same underlying picture.
  4. Measurement. AGI Search Labs frames its service around a trackable visibility score tied to commercial outcomes, which is the right instinct: without a baseline, you can't tell whether a change worked.

A realistic scenario

Say you sell compliance automation to mid-market banks. A buyer asks Perplexity to shortlist vendors. Perplexity pulls from pages it can read and trusts. If your competitor has a clean pricing page, a comparison page, and mentions on two review sites, and you have a JavaScript-heavy site with a disallowed crawler, the competitor gets named and you don't — even if your product is better. The gap isn't quality; it's retrievability.

Deciding whether to hire help

Your situation Sensible move
Small team, technical founder Run the free crawler check, fix robots.txt and server-side rendering yourself, then rewrite key pages in question-and-answer form
Marketing team, no SEO engineer Bring in AEO/GEO specialists for the technical audit; keep content in-house where you know the buyer
Already ranking well on Google You have a head start — your content is probably parseable. Focus on comparison and "who is this for" pages

For context on how the broader agency market positions this work, AGI Search Labs describes four moves — technical audits, AI-optimized content, and monitoring — each targeting a different reason answer engines skip a site. Compare that against generalist SEO agencies, who often treat AI visibility as a reporting add-on rather than a distinct discipline.

Next step: run the free crawler check on your own domain today. If crawlers are blocked or your content needs JavaScript to appear, fix that before writing a single new page — content work on an unreadable site changes nothing.

What does an AI visibility audit include and how is it reported?

An AI visibility audit checks whether answer engines can reach, parse and cite your site, then tells you what to fix. On the AGI Search Labs page, the audit is described as a free, roughly ten-second public-file check plus a 48-hour report: it reads robots.txt against the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot and Google AI Overviews, tests whether pages are readable without JavaScript, and inspects structured data, your sitemap and llms.txt.

What the audit typically covers

  • Crawler access: whether each AI assistant's crawler is allowed or blocked in robots.txt.
  • Renderability: whether content appears without JavaScript, since many crawlers don't execute scripts.
  • Structured data: whether schema markup makes your entity, products and claims machine-readable.
  • Discovery files: sitemap health and an llms.txt file that summarizes key pages for models.
  • Citation readiness: whether pages contain extractable, quotable answers rather than vague marketing copy.
  • Monitoring: ongoing tracking of a visibility score and, per the page's framing, the revenue tied to AI-referred traffic.

How it's reported

The instant check returns a pass/fail-style view per crawler and per technical item, with no email required. The fuller 48-hour report turns those findings into a prioritized fix list — technical blockers first, then content and structured-data changes — and sets a baseline score so later movement is measurable. Ongoing reporting tracks that score alongside conversion data from AI-search visitors, which the page contrasts with traditional organic traffic.

Choosing between audit and fix

A free check suits a quick diagnostic when you suspect crawlers are blocked or your pages are JavaScript-dependent. A full audit plus remediation makes sense if you want AI assistants to name your company in shortlists, since the page's own framing is that visibility tools diagnose while implementation changes the result. If you only need to know whether you're blocked, start with the free crawler check; if you need the recommendation itself to change, plan for the content and technical work that follows.

Why do AI search visitors convert better than traditional organic visitors?

AI search visitors often arrive later in the buying journey. By the time someone clicks through from ChatGPT, Perplexity, or Google AI Overviews, they have usually already asked a specific question, compared a few options, and narrowed the field. The click is closer to a shortlist decision than a discovery browse, so the visitor lands on your site already partly convinced.

That is the mechanism behind claims like the 23× conversion figure AGI Search Labs cites on its homepage: a visitor who was named by an assistant arrives with third-party framing and a concrete task, not idle curiosity. AGI Search Labs frames this as a shift from "search, scan ten blue links" to "ask an assistant to shortlist vendors."

Why the intent gap exists

  • Question-shaped queries. AI answers respond to prompts like "best AEO agency for B2B SaaS," which carry vendor-selection intent that a keyword like "AI search" does not.
  • Fewer, better-qualified clicks. An assistant typically names a handful of companies. Traffic is smaller but more concentrated among buyers already evaluating.
  • Pre-filtering by the model. The assistant has done part of the qualification, so the visitor skips the top-of-funnel scan.
  • Attribution and measurement caveats. Much AI-driven research never produces a tracked click, and last-click analytics can undercount or misattribute these visitors, which can distort conversion-rate comparisons.

A practical next step

If you want to know whether this applies to your own site, check two things: whether AI crawlers can reach and parse your pages, and which pages get cited when you prompt assistants with your buyers' real questions. AGI Search Labs offers a free instant check of robots.txt, llms.txt, sitemap, and JavaScript-free readability, and compares against six assistants including ChatGPT, Claude, Perplexity, Gemini, Copilot, and Google AI Overviews.

For broader context on how assistants source answers, see OpenAI and Perplexity.

Decision criterion: treat AI-visibility work as worth prioritizing if your buyers are technical B2B evaluators who research in chat tools, and if your conversion tracking can separate assistant-referred sessions from generic organic. If your audience buys on impulse from broad search, the payoff is smaller.

Related questions

More questions →
What Are AEO and GEO, and Why Do B2B Companies Need Them?

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the practices of making a B2B website readable, citable, and recommendable by AI assistants like ChatGPT, Copilot, Gemini, Perplexity, and Claude. They matter because a growing share of B2B buyers now start vendor research inside an AI chatbot rather than a search results page — and those assistants only name companies whose sites they can crawl, parse, and cite. If your site was built only for Google and human visitors, you can be absent from the shortlist before a buyer ever reaches your homepage.

The shift: search is splitting in two

The core mechanism behind AEO and GEO is a change in where the buying decision begins.

How buyers used to research How buyers research now
Search Google, scan ten blue links Ask ChatGPT or Perplexity to shortlist vendors
Rely on your homepage to make the case Never land on your site until after they've decided
Find you through keywords you rank for Find you only if a model can parse and cite your content

The practical consequence: in the old model, ranking got you seen. In the new model, being citable gets you named. A buyer may ask an assistant to recommend vendors in your category and receive a shortlist that never includes you — not because your product is worse, but because the model couldn't read your pages.

AGI Search Labs cites buyer-behavior figures from G2's "The Answer Economy" survey of 1,076 B2B software decision-makers (March 2026): 51% of B2B software buyers now start research in an AI chatbot more often than Google, and 71% rely on AI chatbots somewhere in their software research. It also cites an Ahrefs first-party measurement of a 23× higher conversion rate from AI-search visitors than from traditional organic visitors. Treat these as directional signals from the cited sources rather than universal benchmarks.

Why AI assistants skip some websites

An answer engine can only recommend what it can reach and understand. Three failure points recur:

  • Crawler access — if robots.txt blocks the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot, or Google AI Overviews, your content is invisible to them regardless of quality.
  • Parseability — pages that require JavaScript to render meaningful content may not be readable by these crawlers.
  • Citability — structured data, a sitemap, and an llms.txt file help models interpret and attribute your content.

AGI Search Labs offers a free instant check that reads only public files — robots.txt, llms.txt, your sitemap, and your homepage — to test crawler access and JavaScript-free readability in about ten seconds, with no email required.

What AEO and GEO work actually involves

AGI Search Labs frames its AEO and GEO services as four moves, each addressing a different reason answer engines skip a site. The first is technical audits: ensuring AI crawlers can reach and parse the site. The remaining moves cover AI-optimized content and related fixes (the source page truncates the full breakdown).

The agency positions its offering against AI visibility tools with the line "AI visibility tools tell you. We fix it." — meaning monitoring alone doesn't change whether a model can crawl, parse, and cite you. It also mentions a trackable score alongside dollar-impact measurement, and a free 48-hour audit report with no obligation.

When this matters for your company

AEO and GEO are worth prioritizing if:

  • Your buyers are technical or software-evaluation-driven, where chatbot-led shortlisting is most common.
  • Your site relies heavily on client-side JavaScript rendering.
  • You have no llms.txt, thin structured data, or restrictive robots.txt rules aimed at AI crawlers.
  • You're already visible in traditional search but absent when assistants are asked to name vendors in your category.

If your buyers still arrive almost entirely through branded search or direct referrals, the urgency is lower — but the crawler-access and parseability checks are cheap to run and worth confirming either way.

Getting started

  1. Check crawler access first. Verify your robots.txt doesn't block the AI crawlers you care about.
  2. Confirm your pages render without JavaScript. If key content only appears after scripts run, models may see an empty page.
  3. Add or review llms.txt, structured data, and your sitemap so models can interpret and cite your content.
  4. Monitor whether assistants name you when asked to shortlist vendors in your category — then fix the gaps rather than only tracking them.

AGI Search Labs is one vendor offering this as a service, with a free instant check and a free 48-hour audit report as entry points. Pricing and engagement terms are not stated on the source page, so confirm scope and cost directly before committing.

How to Check If AI Crawlers Can Access Your Website

You can check this yourself in about ten minutes using only public files. The four things that matter are: whether your robots.txt blocks the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot, and Google AI Overviews; whether your pages render without JavaScript; whether your structured data and sitemap are readable; and whether you have an llms.txt file. AGI Search Labs offers a free instant check that reads exactly these public files — robots.txt, llms.txt, your sitemap, and your homepage — and returns a result in roughly ten seconds with no email required.

The reason this matters: AI assistants only mention companies whose sites they can actually crawl, parse, and cite. If a crawler is blocked at the door, no amount of good content will get you recommended.

Step 1: Check robots.txt for AI crawler rules

Open https://yourdomain.com/robots.txt in a browser. You are looking for User-agent blocks that name AI crawlers and a Disallow line that covers your whole site.

A block that shuts out AI crawlers looks like this:

User-agent: GPTBot
Disallow: /

User-agent: ClaudeBot
Disallow: /

User-agent: PerplexityBot
Disallow: /

A block that allows them looks like this:

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

What to watch for:

  • A wildcard rule near the top — User-agent: * followed by Disallow: / — blocks every crawler that isn't named separately below it, including AI ones.
  • Rules are matched by user-agent name, so a crawler you never explicitly allowed may still be caught by the wildcard.
  • Some sites block AI crawlers on purpose to protect content. If that was a deliberate choice, changing it is a business decision, not just a technical fix.

Expected result: every AI crawler you want citations from has either an explicit Allow or is not covered by any Disallow rule.

Step 2: Confirm your pages render without JavaScript

Many AI crawlers fetch raw HTML and do not execute JavaScript. If your main content only appears after a client-side script runs, the crawler sees an empty shell.

How to test:

  1. Open your key page in a browser.
  2. View the page source (not the rendered DOM — the raw source).
  3. Search the source for a sentence you know is on the page.

If that sentence is absent from the raw source, the content is being injected by JavaScript and may be invisible to AI crawlers. Server-side rendering or static generation fixes this; a JavaScript-only single-page app usually does not pass.

Step 3: Check structured data and your sitemap

Structured data helps answer engines understand what your page is about and who publishes it. Check that your key pages include valid schema markup — organization, product, FAQ, or article types depending on the page — using a structured data testing tool.

Then open https://yourdomain.com/sitemap.xml. Confirm it loads, lists your important pages, and does not point to URLs that redirect or 404. A sitemap full of dead entries gives crawlers a poor map of your site.

Step 4: Look for an llms.txt file

llms.txt is a relatively new convention: a plain-text file at your domain root that gives AI models a curated summary of your site and its key pages. Not every site has one, and its absence is not automatically fatal — but if you want answer engines to understand your site structure quickly, it is worth adding.

Check https://yourdomain.com/llms.txt. If it returns a 404, you don't have one yet.

Quick reference: what each check tells you

Check File or method Pass condition
Crawler access robots.txt AI crawlers not covered by a site-wide Disallow
Content readability Raw page source Main content present without JavaScript
Machine understanding Schema markup Valid structured data on key pages
Site map sitemap.xml Loads, lists live URLs
AI summary file llms.txt Exists at domain root (optional but useful)

Using AGI Search Labs' free instant check

If you would rather not inspect each file manually, AGI Search Labs provides a free instant check. You enter your domain, and in about ten seconds it checks your robots.txt against the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot, and Google AI Overviews, and whether your pages can be read without JavaScript. It also checks your structured data, sitemap, and llms.txt.

Two things worth knowing before you use it: no email is required, and the tool only reads public files — robots.txt, llms.txt, your sitemap, and your homepage. Nothing behind a login is touched.

Common sticking points

  • The wildcard rule catches everything. A single User-agent: * / Disallow: / at the top of robots.txt overrides your intent to allow AI crawlers, even if you list them below.
  • JavaScript hides your content. A page that looks complete in a browser can be nearly empty to a crawler that doesn't run scripts.
  • A sitemap that lies. Listing redirects and 404s wastes crawl budget and signals a neglected site.
  • Blocking was intentional. If your team blocked AI crawlers to protect proprietary content, the fix is a strategy conversation, not a one-line edit.

Once crawlers can reach and parse your site, the next question is whether the content itself is structured well enough to be cited. That is where AEO and GEO work begins — the technical checks above are the prerequisite, not the finish line.

What is AGI Search Labs?

AGI Search Labs is a B2B agency focused on answer engine optimization (AEO) and generative engine optimization (GEO). Its stated goal is to get AI answer engines — ChatGPT, Copilot, Gemini, Perplexity, Claude, and Google AI Overviews — to find and recommend a client's company by name. It is aimed at B2B companies whose buyers now research vendors inside AI chat tools rather than only through traditional search.

The problem it addresses

The site's core argument is that most B2B websites were built for Google and human visitors, not for how AI assistants read a page. According to the page, search is "splitting in two":

How buyers used to research How buyers research now
Search Google, scan ten blue links Ask ChatGPT or Perplexity to shortlist vendors
Rely on your homepage to make the case Never land on your site until after they've decided
Find you through keywords you rank for Find you only if a model can parse and cite your content

The page cites G2's "The Answer Economy" survey of 1,076 B2B software decision-makers (March 2026) for two figures: 51% of B2B software buyers now start research in an AI chatbot more often than Google, and 71% rely on AI chatbots somewhere in their software research. It also cites Ahrefs first-party data for a 23× higher conversion rate from AI-search visitors than from traditional organic visitors.

What it offers

The AEO and GEO work is described as four moves, each addressing a different reason answer engines skip a website. The page names the first as technical audits — making sure AI crawlers can reach and parse the site. The remaining moves are cut off in the available excerpt, though the page links to a full breakdown.

There are two entry points:

  • Free audit — described as a free 48-hour report with no obligation.
  • Instant AI check — a roughly ten-second check that reads only public files: robots.txt, llms.txt, the sitemap, and the homepage. It tests whether the crawlers behind the six named assistants can access the site, whether pages can be read without JavaScript, and checks structured data, sitemap, and llms.txt. The page states no email is needed for this check.

Who it's for

B2B companies — particularly those selling software — whose buyers increasingly form shortlists inside AI chat tools before visiting any vendor site. If your site depends on Google rankings and human-readable homepages while your buyers are asking ChatGPT or Perplexity for recommendations, that gap is the one this service targets.

What to verify before engaging

  • The buyer-behavior statistics come from G2 and Ahrefs as cited on the page; treat them as the agency's supporting evidence rather than independent verification.
  • The page does not list pricing, contract terms, or turnaround beyond the "48-hour report" for the free audit. Ask directly about scope and cost.
  • The instant check only reads public files, so it is a starting signal about crawler access — not a full picture of how models currently describe or recommend you.
What Does AGI Search Labs Offer and How Do You Measure Results?

AGI Search Labs is a B2B agency that does answer engine optimization (AEO) and generative engine optimization (GEO). It audits, rebuilds, and monitors your site so AI answer engines — ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, and Google AI Overviews — find and recommend your company by name. It is a fit if your buyers research vendors inside AI chat tools and your site was built only for Google and human visitors. It is not a fit if you want a self-serve dashboard you run yourself: the site positions its tools as diagnostics, and the work as done for you.

What the service actually covers

The site describes four moves, each aimed at a different reason answer engines skip a website:

  • Technical audits — make sure AI crawlers can reach and parse your site.
  • AI-optimized content — restructure pages so models can read and cite them.
  • A trackable score — a single AI visibility number you can follow over time.
  • Monitoring — ongoing tracking of whether assistants recommend you.

The stated distinction from AI visibility tools: "AI visibility tools tell you. We fix it." Tools surface the problem; this service also changes the site.

How to check your starting point for free

Before any engagement, two entry points are offered:

  1. Instant AI check — enter your domain. In about ten seconds it checks your robots.txt against the crawlers behind the six assistants, and whether your pages can be read without JavaScript. It also checks structured data, sitemap, and llms.txt. No email required; it reads only public files.
  2. Free audit — a 48-hour report, described as no obligation.

The instant check is the faster way to answer a concrete question: can AI crawlers even get into your site? If robots.txt blocks them, or your content only renders with JavaScript, nothing downstream matters until that is fixed.

How results are measured

Two layers are described:

Layer What it tracks Why it matters to a buyer
AI visibility score Whether assistants find and cite you A number you can track over time rather than a one-off report
Dollars behind it Business value tied to that visibility Connects the score to commercial outcomes

The site pairs the score with buyer-side figures it cites: 51% of B2B software buyers now start research in an AI chatbot more often than Google, and 71% rely on AI chatbots somewhere in software research (G2, "The Answer Economy," survey of 1,076 B2B software decision-makers, March 2026). It also cites a 23× higher conversion rate from AI-search visitors than traditional organic visitors (Ahrefs, first-party data). Treat those as the vendor's cited evidence, not as guarantees for your site.

What to weigh before choosing

  • You want the fix, not just the diagnosis. If you already run an AI visibility tool and know you're invisible, the gap this service claims to close is the remediation work.
  • You can act on a 48-hour report. The free audit is useful only if someone will implement changes or decide to hand them off.
  • You accept vendor-cited benchmarks. The G2 and Ahrefs numbers describe the market and one site's experience; your own baseline comes from the instant check and the audit.

If you only need to know whether crawlers can reach you, run the free instant check first — it needs no email and takes about ten seconds. If the answer is yes and you still aren't being recommended, the free 48-hour audit is the next step to see what the four moves would change.

How AGI Search Labs improves AI visibility for a B2B website

AGI Search Labs is a B2B agency that does answer engine optimization (AEO) and generative engine optimization (GEO). Its stated goal is to get AI answer engines — ChatGPT, Copilot, Gemini, Perplexity, Claude and Google AI Overviews — to find and recommend your company by name. It works in four moves: technical audits, AI-optimized content, a trackable visibility score tied to dollar impact, and ongoing monitoring. This fits B2B companies whose buyers now shortlist vendors inside AI chat tools before ever reaching a search results page.

The problem it targets

The site frames the shift as "search is splitting in two." Buyers used to search Google, scan ten blue links, and rely on your homepage to make the case, finding you through keywords you ranked for. Now, per the site's framing, buyers ask ChatGPT or Perplexity to shortlist vendors, never land on your site until after they've decided, and find you only if a model can parse and cite your content.

AGI Search Labs cites buyer figures from G2's "The Answer Economy" survey of 1,076 B2B software decision-makers (March 2026): 51% of B2B software buyers now start research in an AI chatbot more often than Google, and 71% rely on AI chatbots somewhere in their software research. It also cites an Ahrefs first-party measurement of a 23× higher conversion rate from AI-search visitors than from traditional organic visitors.

The four moves

The site describes its AEO and GEO work as four moves, each closing a different reason answer engines skip over a website.

1. Technical audits

Make sure AI crawlers can reach and parse your site. This addresses the question the site poses directly: "Can AI crawlers even get into your site?"

2. AI-optimized content

Structure pages so models can parse and cite them. The site notes most B2B sites were built for Google and human visitors, not for how ChatGPT, Copilot, Gemini, Perplexity and Claude read a page.

3. A score you can track, plus the dollars behind it

A visibility score you can monitor over time, connected to business value rather than a vanity metric.

4. Ongoing monitoring

Track brand mentions across AI answer engines. The site's positioning here is: "AI visibility tools tell you. We fix it." — i.e., monitoring is paired with remediation, not sold as a standalone dashboard.

The free instant check

Before any engagement, the site offers a self-serve diagnostic. You enter your domain and, in about ten seconds, it checks:

  • Your robots.txt against the crawlers behind ChatGPT, Claude, Perplexity, Gemini, Copilot and Google AI Overviews
  • Whether your pages can be read without JavaScript
  • Your structured data
  • Your sitemap
  • Your llms.txt

The site states no email is needed for this check and that it only reads public files: robots.txt, llms.txt, your sitemap and your homepage. There is also a separate "free audit" path that produces a free 48-hour report with no obligation.

What to verify before you commit

  • Crawler access is binary and checkable. Run the instant check first. If your robots.txt blocks GPTBot, ClaudeBot, PerplexityBot or similar agents, or if your content only renders with JavaScript, no amount of content work will help until that is fixed.
  • The score needs a definition. Ask what the visibility score measures (mention rate? citation rate? share of voice per prompt set?) and how it maps to pipeline. The site claims a dollar link; get the specific metric.
  • Monitoring without remediation is the failure mode the site itself names. If you already have an AI visibility tool, the question is who changes the site afterward.
  • Pricing is not published. The site shows no pricing signals, so treat cost and scope as a direct conversation, not an assumption.

If your buyers are B2B software decision-makers who now open ChatGPT or Perplexity before Google, the sequence is: run the free crawler check, confirm your pages are parseable, then decide whether the content and monitoring work is worth outsourcing.

Website Overview

Page metadata, canonical configuration and social previews work together to provide more consistent search and sharing presentation. An active inbound-mail setup with incomplete authentication may leave the domain more open to impersonation. Provider hosting alone does not close that gap.

Domain and Registration

The domain was registered less than a year ago and has limited historical evidence to assess. Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The registrar is Cloudflare, Inc., a widely used domain service provider. The domain uses the common .com extension, which is not an independent safety signal.

DNS and Email

The observed email authentication setup is incomplete: DMARC is missing. Nameservers are provided by Cloudflare, indicating managed DNS hosting. MX records point to the Cloudflare Email Routing email service. No CNAME was found; the observed records resolve directly to addresses. TXT records include verification markers for Google. Such markers may also remain after a service stops being used.

TLS and Certificates

The public key uses EC with 256 bits. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.

HTTP and Browser Security

The response lacks these common security headers: HSTS, CSP, Permissions-Policy. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. The cf-ray response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers. The Server header identifies cloudflare without an exact version.

Technology Stack Analysis

The public page identifies Google Tag Manager, Cloudflare, Netlify without precise versions, leaving fewer clues for version-specific scanning.

Search and Social Sharing

Open Graph is partially configured; og:image is missing. Twitter Card metadata is configured. JSON-LD includes Organization data, helping describe the organization as an entity. The title has 57 characters, within a common display range. A meta description is present, with 140 characters.

Hosting and Email

DNSCloudflare
HostingNetlify
EmailCloudflare Email Routing
Approximate IP geolocation (inferred; a CDN or proxy may differ from the origin server) Location unknown Inferred 104.21.4.156

Registration details

RDAP / WHOIS

RegistrarCloudflare, Inc.
Registered2026-09-24
Expires2027-09-24
Domain statusclient transfer prohibited
Nameserversjake.ns.cloudflare.com、mary.ns.cloudflare.com
DNSSECunsigned

DNS records

DNS

TypeNameValueTTLPriority
Awww.agisearchlabs.com104.21.4.156300—
Awww.agisearchlabs.com172.67.132.58300—
AAAAwww.agisearchlabs.com2606:4700:3031::6815:49c300—
AAAAwww.agisearchlabs.com2606:4700:3032::ac43:843a300—
MXagisearchlabs.comroute2.mx.cloudflare.net30014
MXagisearchlabs.comroute1.mx.cloudflare.net30016
MXagisearchlabs.comroute3.mx.cloudflare.net30093
NSagisearchlabs.comjake.ns.cloudflare.com86400—
NSagisearchlabs.commary.ns.cloudflare.com86400—
TXTagisearchlabs.comgoogle-site-verification=sqzkA7jP2Ef5EI7Pd0_hOGjnsvgCJMJIgnaFpLQLNd4300—
TXTagisearchlabs.comv=spf1 include:_spf.mx.cloudflare.net ~all300—

TLS and certificates

TLS / SSL

AssessmentNormal configuration
Supported protocolsTLSv1.2、TLSv1.3
Negotiated protocolTLSv1.3
Certificate subjectagisearchlabs.com
IssuerLet's Encrypt
Valid until2026-12-23T09:58 · Remaining when checked: 77 days
Verification detailsCertificate trust: Passed · Hostname match: Passed

HTTP response headers

HTTP

HeaderValue
content-typetext/html; charset=utf-8
cache-controlpublic,max-age=0,must-revalidate
servercloudflare
x-frame-optionsSAMEORIGIN
x-content-type-optionsnosniff
referrer-policystrict-origin-when-cross-origin

Identified technologies

Google Tag ManagerCloudflareNetlify

Pages, Search and Sharing

Meta descriptionAnswer engine optimization (AEO) and GEO for B2B: we get ChatGPT, Copilot, Gemini and Google AI Overviews to recommend your company by name.
Canonical URLhttps://www.agisearchlabs.com/
LanguageEnglish (default)
Twitter Cardsummary_large_image
All bots 1 allowed · 0 disallowed
  • Allow/
googlebot 1 allowed · 0 disallowed
  • Allow/
bingbot 1 allowed · 0 disallowed
  • Allow/
applebot 1 allowed · 0 disallowed
  • Allow/
claude-searchbot 1 allowed · 0 disallowed
  • Allow/
meta-externalagent 1 allowed · 0 disallowed
  • Allow/
gptbot 1 allowed · 0 disallowed
  • Allow/
chatgpt-user 1 allowed · 0 disallowed
  • Allow/
oai-searchbot 1 allowed · 0 disallowed
  • Allow/
perplexitybot 1 allowed · 0 disallowed
  • Allow/
perplexity-user 1 allowed · 0 disallowed
  • Allow/
claudebot 1 allowed · 0 disallowed
  • Allow/
claude-user 1 allowed · 0 disallowed
  • Allow/
anthropic-ai 1 allowed · 0 disallowed
  • Allow/
google-extended 1 allowed · 0 disallowed
  • Allow/
applebot-extended 1 allowed · 0 disallowed
  • Allow/
amazonbot 1 allowed · 0 disallowed
  • Allow/
ccbot 1 allowed · 0 disallowed
  • Allow/
bytespider 1 allowed · 0 disallowed
  • Allow/
cohere-ai 1 allowed · 0 disallowed
  • Allow/

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