B2B Visibility in the Agentic Era

Agent Found.

Get 'er Done, a New Jersey based B2B revenue and AI visibility firm led by Tim Doelger, structures your digital presence for the era when ChatGPT, Claude, Perplexity, and Gemini do your buyers' vendor research. If your site lacks structured data and entity authority, you are not in the conversation. Your competitors are.

4AI Agents Tested
48 hrsAudit Delivery
$0Free Assessment
90 DaysReassessment Included

Transparent Methodology

We disclose what we know and what we do not. AI platforms change constantly. Our methodology represents current best practices based on observable patterns, not guaranteed outcomes. We include a 90-day reassessment with every implementation to adjust for platform shifts. See exactly how we measure →

Why B2B owners engage Agent Found

The problem is not your website. It is what AI agents see when they read it.

Most B2B sites were designed for human eyes and Google bots. AI agents parse a different layer entirely: structured data, entity graphs, machine-readable facts. Without it, they skip you.

Common signal

Your competitors are getting cited. You are not.

When a buyer asks ChatGPT for vendor recommendations in your category, your competitors appear. You do not. It is not about brand size, it is about schema markup and entity clarity that you can fix.

Common signal

You just rebuilt your website. AI agents still cannot read it.

Web designers optimize for human aesthetics and browser performance. AI agents need JSON-LD schema, sameAs links, and entity relationships. A visually polished site without structured data is still invisible to LLMs.

Common signal

Inbound is softening and you cannot explain why.

Buyer research has migrated upstream, to AI agents that shortlist vendors before any human ever visits your site. If AI does not know who you are, the research stage excludes you entirely.

Critical distinction

This is not SEO. Different audience. Different inputs. Different results.

Traditional SEO optimizes for human searchers on Google. Agent Found optimizes for AI agents that answer your buyers' questions directly. Understanding the difference prevents scope creep and misaligned expectations.

FactorTraditional SEOAgent Found (AEO/GEO)
AudienceHuman searchers scanning Google resultsAI agents synthesizing answers for buyers
Primary InputKeywords, backlinks, content relevanceJSON-LD schema, entity relationships, structured facts
Success SignalGoogle ranking position, click-through rateCitation in AI responses, mention accuracy
Update CycleContinuous algorithm updates30-90 day model refresh cycles
Traffic ImpactDirect measurable traffic from searchOften zero-click; brand awareness upstream
What You ControlContent, technical performance, linksStructured data, entity clarity, content structure

Important: Agent Found will not directly improve your Google rankings. It is a separate discipline with separate outcomes. See what we cannot promise →

The technical reality

What AI agents read. What most sites are missing.

This is not SEO. It is a different discipline with different inputs, different tools, and different results.

The gap, specifically
  • Missing

    No Organization or LocalBusiness schema

    Without JSON-LD entity markup, AI agents cannot confirm what your company does, where you operate, or who you serve. You are an unverified entity, and unverified entities do not get cited.

  • Missing

    No Service schema with clear descriptions

    AI agents need machine-readable service definitions, not marketing copy. Without Service schema listing your offerings and service area, they cannot match you to buyer queries accurately.

  • Missing

    No sameAs links building entity authority

    LLMs cross-reference your website against LinkedIn, Google Business Profile, industry directories, and other authoritative sources. Disconnected profiles mean fragmented or absent entity recognition.

  • Missing

    No FAQ or HowTo structured data

    FAQ schema is the most direct path to AI citation. When a buyer asks a question that matches your FAQ schema, AI agents pull from that structured data. Without it, they pull from competitors who have it.

How We Measure

Transparent methodology. No black box.

We use manual testing with standardized query sets because AI platforms do not provide API access for citation tracking. This is imperfect but consistent.

  • Fixed query library across 5 AI platforms
  • Screenshot documentation with timestamps
  • Structured logging of citations vs. misses
  • You receive all raw data: queries, screenshots, logs
  • Quarterly reassessment to track trends

Note: We cannot guarantee attribution accuracy or track direct revenue from AI citations. See measurement limitations →

AI agents we optimize for

Every major platform. Not just one.

We test and optimize for the platforms your buyers actually use for research. Platform algorithms change; we track those changes.

ChatGPT (GPT-4o) Claude (Anthropic) Perplexity AI Google Gemini Bing Copilot
The Agent Found process

Four phases. Measurable indicators. Flexible implementation.

Every engagement starts with the free readiness audit. From there, choose your implementation path: DIY with our guidance, hybrid support, or full-service deployment.

Phase by phase
  • Phase 01

    Agentic Readiness Audit

    We run live queries on ChatGPT, Claude, Perplexity, and Gemini using the exact language your buyers use. Screen recordings capture what each AI says, or does not say, about your business. We compare your results against your top three competitors and identify every schema gap, entity issue, and missing trust signal. You receive all raw data.

  • Phase 02

    Schema Foundation

    We build your complete JSON-LD schema stack: Organization, LocalBusiness, Service, FAQ, HowTo, Person, and Review. Every schema is validated against Google Rich Results Test. You receive implementation-ready code with instructions for your developer, or we deploy directly if you choose full-service.

  • Phase 03

    Entity Authority Build

    We construct the sameAs link graph connecting your website to LinkedIn, Google Business Profile, industry directories, and authoritative sources that LLMs use to confirm entity identity. We develop structured content that creates clear E-E-A-T signals and resolves entity disambiguation across platforms.

  • Phase 04

    90-Day Visibility Reassessment

    We re-run the original query set to measure changes in AI citation patterns. This is included with every implementation. You see exactly what shifted, what did not, and what platform changes may have affected results. Optional quarterly monitoring available for teams wanting ongoing tracking.

Free Readiness Audit Includes

  • Live AI agent screen recordings, ChatGPT, Claude, Perplexity, Gemini
  • Complete schema gap analysis with specific JSON-LD code snippets
  • Competitor comparison: your top 3 rivals' schema and citation signals
  • Priority fix checklist ranked by citation impact
  • Entity authority score vs. industry baseline
  • All raw data delivered: screenshots, query logs, timestamps
  • Delivered within 48 hours. No cost. No obligation.
Who this is built for

B2B companies losing ground to AI-invisible positioning

  • B2B services, SaaS, or consulting with a defined service area
  • Companies with 2+ year old websites or recent redesigns without schema
  • Businesses where inbound quality or volume has softened unexpectedly
  • Teams that want to implement fixes with an internal developer
  • Owners who do not want another vendor managing their SEO forever
Choose your implementation path

One audit. Three ways to execute.

Everyone starts with the free audit. After that, pick the path that matches your team's capacity. No long-term contracts required.

Path 01

DIY with Guidance

Audit only

Free. No further commitment.

  • Full readiness audit report
  • Implementation-ready JSON-LD code
  • Prioritized fix checklist
  • Email Q&A during implementation
  • Take to your own developer or SEO vendor

Best for: Teams with an internal developer or SEO partner.

Request Free Audit
Path 03

Ongoing Monitoring

Quarterly retainer

Optional. Cancel anytime.

  • Everything in full-service path
  • Quarterly citation tracking report
  • Platform change alerts and adjustments
  • Schema updates as service offerings evolve
  • Priority support

Best for: Companies in competitive markets where AI platforms shift frequently.

Request Free Audit

No Long-Term Contracts Required

Every implementation includes the 90-day reassessment. Ongoing advisory is optional and cancels anytime. We do not require monitoring retainers to access your audit results. Take the audit, implement yourself, and never talk to us again if that is what works for you.

Honest fit check

This is not for everyone.

Agent Found is an execution-first service. It requires you to have a real business with a real website. It does not build visibility for companies that do not yet have a defined offering or digital presence.

Good fit

You have an established B2B presence with a defined service.

  • Operating business with at least 12 months of history
  • A real website you own and can modify (or have developer access)
  • Clear service definitions and a target buyer
  • Willingness to implement or let us implement
Not a fit

This will not create something from nothing.

  • Pre-revenue startups with no defined offer
  • Companies without a website or with a single-page placeholder
  • B2C retail or consumer-facing e-commerce
  • Teams expecting guaranteed Google ranking increases
  • Companies seeking immediate traffic or lead volume
Works alongside

You already have an SEO agency or IT team.

Agent Found delivers specific JSON-LD code snippets and technical specs. Your existing developer or SEO vendor implements. We are not replacing your team, we are adding the agentic layer they are likely not covering.

  • Works with any CMS: WordPress, HubSpot, Webflow, custom
  • Code delivered in implementation-ready JSON-LD format
  • No CMS access required to receive the audit
  • Developer documentation included
Setting expectations

What we cannot promise.

We would rather lose a sale than mislead you. Here is exactly where the limits are.

  • Limit 01

    We cannot guarantee specific citation rates

    AI platforms do not publish their citation algorithms. We optimize based on observable patterns, but we cannot guarantee you will be cited X% of the time. What we guarantee is that you will be more visible than before, measured by the same methodology.

  • Limit 02

    We cannot directly measure revenue attribution

    AI citations are often zero-click. A buyer sees your name in ChatGPT, then searches for you directly or types your URL. We cannot definitively connect a specific AI citation to a specific revenue dollar. We track visibility indicators, not revenue attribution.

  • Limit 03

    We cannot control platform changes

    OpenAI, Anthropic, Google, and Microsoft change their models constantly. A methodology that works today may need adjustment in six months. We include 90-day reassessments to catch these shifts, but we cannot predict or prevent platform changes.

  • Limit 04

    This will not improve your Google rankings

    Agent Found is not SEO. While schema markup can help both, the primary goal is AI agent comprehension, not Google ranking position. If you need traditional SEO, you need a traditional SEO agency. We can refer you to partners.

  • Limit 05

    Implementation requires your cooperation

    We can deliver perfect schema code, but if your developer does not implement it correctly or your CMS blocks the changes, results will not materialize. We provide validation testing for full-service clients, but DIY implementations depend on your execution.

How we measure

Transparent methodology. You get all the data.

We do not have special API access or proprietary tools. Our methodology is manual, structured, and fully disclosed. You can replicate it yourself.

The process
  • Step 01

    Query Library Definition

    We build a fixed set of 20-40 queries across four intent types: direct brand, category, comparison, and problem-solution. These queries represent actual buyer language, not marketing speak. The library is versioned and consistent across assessments.

  • Step 02

    Platform Testing Protocol

    For each query, we test across ChatGPT, Claude, Perplexity, Gemini, and Copilot using identical prompts. We document: whether you appear, what description is given, which competitors appear, and what sources are cited. Screenshots with timestamps for every test.

  • Step 03

    Structured Data Analysis

    We audit your live schema markup using Google's Rich Results Test and Schema Markup Validator. We check for: Organization, LocalBusiness, Service, FAQ, HowTo, Person, and Review schema presence and accuracy.

  • Step 04

    Entity Authority Mapping

    We map your sameAs link graph: LinkedIn, Google Business Profile, industry directories, review platforms. We check NAP consistency and identify missing authoritative connections that competitors have.

  • Step 05

    Deliverable Compilation

    You receive: all screenshots, query logs, schema code recommendations, competitor analysis, and prioritized fix checklist. Everything is yours to keep, share with your team, or take to another vendor.

Measurement Limitations

What we cannot track (and why)

  • No API access to AI platform citation databases
  • No direct revenue attribution from AI citations
  • No real-time monitoring (point-in-time snapshots)
  • No control over platform algorithm changes
  • No guarantee of citation persistence over time

These limitations apply to every provider in this space. We disclose them because we believe informed clients make better decisions.

Tools You Can Use

Verify our work independently

You do not need to trust our metrics. Use these free tools to verify:

  • Google Search Console (structured data reports)
  • Google Rich Results Test
  • Schema Markup Validator
  • GA4 (AI referral traffic segmentation)
  • Manual query testing (replicate our process)
Data handling

How we handle your information.

We collect business details to run the audit. Here is exactly what we keep, how long, and who sees it.

  • Data

    What we collect

    Business name, website URL, service category, target market, geographic focus, and contact information. Optional: competitor list, directory links, marketing materials. We do not collect credentials, passwords, or financial information.

  • Storage

    How long we keep it

    Audit data retained for 90 days to support the reassessment, then deleted unless you engage ongoing services. If you purchase implementation, project files retained for 12 months for support purposes. You can request deletion anytime.

  • Access

    Who sees your data

    Only Tim Doelger and any directly involved implementation contractor (bound by NDA). We do not sell, share, or use your data for marketing. Your audit results are confidential and not shared as case studies without explicit written permission.

  • Security

    How we protect it

    Data stored in encrypted cloud storage (AES-256). Email communications use TLS. We do not store payment information (handled by Stripe). Full details in our Privacy Policy.

Other services

Agent Found fits inside a larger revenue system.

AI visibility gets you found. These services make sure your team is ready for the conversations that follow.

Questions

What people ask before requesting the audit.

AEO (Answer Engine Optimization), also called GEO (Generative Engine Optimization), structures your digital presence so AI agents like ChatGPT, Claude, and Perplexity can accurately identify, understand, and recommend your business. Traditional SEO optimizes for human searchers on Google using keywords and backlinks. AEO optimizes for machine comprehension using JSON-LD schema markup, entity relationships, and structured data. The audience is an AI agent, not a human scanning search results. This is not SEO and will not directly improve Google rankings.
Yes, completely free for qualified B2B companies. No credit card, no required discovery call. We prioritize established businesses with real websites and defined services. The audit requires 2+ hours of our time, so we review requests to ensure fit before executing. Many clients take the audit to their own developer and implement it themselves. That is fine. You keep the report either way. The straightforward business logic: we are confident that once you see the specific gaps, especially compared to your competitors, you will either hire us to implement or refer us to someone who will.
Yes, especially if the redesign focused on design and performance. Web developers and designers build for human eyes and browser rendering. AI agents read JSON-LD schema, entity graphs, and structured facts, a completely different layer. A visually modern site without proper structured data is still invisible to AI recommendation engines. This is one of the most common situations we audit. Most recently redesigned sites have zero schema markup.
Schema markup is indexed by Google within days of implementation. AI agent knowledge bases refresh on different schedules, typically 30 to 90 days depending on the platform. ChatGPT, Claude, and Perplexity each have different refresh cadences. Clients who implement the priority fixes from the audit typically see measurable improvement in AI citation rates within the first 30 to 60 days. We include a 90-day reassessment to verify this.
Yes. Agent Found operates in a layer most SEO agencies are not covering. We deliver specific JSON-LD code snippets and technical specifications your existing agency or developer can implement directly. We do not require CMS access or a vendor change. We have briefed many internal developers and SEO teams using our audit as the handoff document. If your SEO agency claims they already do this, ask them to show you your current Organization schema and sameAs link graph. Most cannot.
AI platforms do change constantly. Our methodology represents current best practices based on observable patterns. We include a 90-day reassessment with every implementation to adjust for platform changes. Ongoing quarterly monitoring (optional) tracks these shifts continuously. There is no guarantee that today's optimization will work identically in 12 months. This is true for every provider in this space. We are transparent about it.
Tim Doelger runs every engagement directly. Nuclear submarine veteran, AI startup founder, 30 years in B2B revenue operations. Agent Found work is not handed to junior contractors. You get Tim for the audit, the strategy, and implementation oversight. Get 'er Done is a small, intentional firm. That is by design.
Custom scope based on the gap identified in your audit, your site's complexity, and whether you want implementation support or a handoff to your own team. The audit itself is always free. Implementation quotes are based on what we actually find, not a standard rate card. DIY guidance is included at no cost. Full-service implementation is quoted after audit completion. There is no pitch before you have the data.
Absolutely. We design every implementation to be maintainable by your internal team. You receive complete documentation, the full query library, and our testing methodology. Ongoing advisory is optional, not required. Many clients implement, run the 90-day reassessment, and then handle monitoring internally. We support whichever approach works for you.

Ready to find out where you stand?

Request the free Agentic Readiness Audit. You will receive a detailed report within 48 hours showing exactly how visible you are to AI agents, and what your top competitors have that you do not. No credit card. No required discovery call. No obligation.

Or email Support@GeterDone.ai with your website URL, your top competitor, and what prompted you to look into this.