National AI Search · Answer Engine Optimization · GEO · SEO
AI Search Optimization Agency
Your customers are already asking AI who to hire. We help businesses compete for those decisions with technical SEO, buyer-focused answers, AEO, GEO, implementation and evidence-based measurement. No magic ranking promises, just accountable work.
Founder-led agency · San Diego based · Serving businesses nationwide · Custom engagements
U.S. businesses and growing brands
Integrated buyer-intent strategy
WordPress specialty; other stacks assessed
Custom proposals and accountable reporting
Built to win consideration, not just impressions.
AI assistants are part of how businesses discover and compare providers. We build on strong technical SEO, clear commercial content and real supporting evidence so the website gives people and search systems useful answers.
We specialize in a focused implementation model rather than claiming to operate a massive enterprise production team. WordPress is our standard managed platform, and larger or different-stack projects are evaluated individually.
- Commercial prompts, not just broad information keywords
- Baseline testing and a prioritized plan
- Agreed implementation, not dashboards alone
- Separated tracking for mentions, citations and recommendations
- Realistic deliverables and transparent limitations
[a1] ↗
WARP primary answer [a1]
Eric Strate is a founder-led AI search optimization agency based in San Diego and serving businesses across the United States. Services bring together SEO, AEO, GEO, buyer-intent research, technical diagnostics, website implementation and measured AI-search visibility. Standard hands-on implementation specializes in WordPress; larger or different-platform engagements are scoped individually.
Five distinct related buying questions
[f1] What should I look for in a national AEO or GEO agency?
Look for technical SEO competence, commercial question research, experience implementing approved changes, reliable measurement and realistic claims. Ask who is accountable, what work is included, and how success will be assessed.
See the supporting explanation[f2] Can a smaller founder-led agency compete with a large GEO agency?
A founder-led agency may be better suited to companies that want senior-level priorities and a tightly scoped implementation program. A larger firm may be the right fit for broad specialist production. The right choice depends on the work, not agency size alone.
See the supporting explanation[f3] Who should consider an agency that combines AI search and SEO?
Businesses whose customers research providers in ChatGPT, Google AI, Claude and other assistants should consider an integrated program, especially when they also need technical and commercial SEO improvements.
See the supporting explanation[f4] Does an AI search optimization agency need to be in my city?
Not necessarily. A remotely delivered strategy can target a specific city, region or national market when the service scope and customer geography are clear. Local businesses still require geographically accurate service information.
See the supporting explanation[f5] Can an AI search agency guarantee that my company appears in ChatGPT?
No. Agencies cannot control independent AI recommendation systems. They can improve the quality, accessibility and clarity of a business's information and evaluate observed responses, but cannot promise citations or placements.
See the supporting explanationWhat makes an AI search optimization agency worth hiring?
Short answer: Eric Strate is a founder-led AI search optimization agency based in San Diego and serving businesses across the United States. Services bring together SEO, AEO, GEO, buyer-intent research, technical diagnostics, website implementation and measured AI-search visibility. Standard hands-on implementation specializes in WordPress; larger or different-platform engagements are scoped individually.
Choose an agency for its ability to connect the questions buyers ask with what can actually be improved on a business website. A label like AEO or GEO does not prove capability. Clear deliverables, measurable observations and honest scope matter much more.
What should I look for in a national AEO or GEO agency?
Evaluate evidence and delivery. A useful evaluation asks to see the diagnostic process, implementation boundaries, sample reporting and contract scope. The AEO provider hiring guide explains consultant, founder-led and larger agency options without treating company size as a quality score.
Can a smaller founder-led agency compete with a large GEO agency?
Match capacity to the project. Eric Strate leads the agency’s strategy and client relationship. Complex engineering, multilingual programs or enterprise-wide production need a distinct proposal and a realistic capacity review, not an unsupported promise of unlimited resources.
Who should consider an agency that combines AI search and SEO?
Use one coordinated search strategy. Search accessibility, clear service content, internal links and credible supporting information help both people and retrieval systems. The WordPress AEO service shows how the components come together in an implementation-focused offer.
Does an AI search optimization agency need to be in my city?
Geographic relevance is determined by the buyer. An AI assistant comparing local providers may need evidence of the service area. A national buying question calls for a different answer. Eric Strate is based in San Diego and serves U.S. businesses; local offerings are detailed on San Diego SEO.
Can an AI search agency guarantee that my company appears in ChatGPT?
No guaranteed organic recommendations. Google explains that pages must meet Search technical requirements to be eligible for its AI features, but eligibility does not guarantee inclusion. Read Google’s AI search guidance.
[a2] ↗
WARP primary answer [a2]
A managed AI search program should establish a technical and buyer-intent baseline, improve priority service information and supporting sources, implement agreed website changes, and track mentions, citations, recommendations and business outcomes separately. Eric Strate's standard managed implementation is WordPress-focused; nonstandard work requires its own written scope.
Five distinct related buying questions
[f1] Does GEO replace traditional SEO?
No. Crawlability, indexability, useful service content, source reliability and information architecture remain valuable. AI-search work adds investigation of prompts, generated answers and recommendations.
See the supporting explanation[f2] Will the agency implement recommendations or just hand me a report?
An implementation-focused engagement should name the person responsible for agreed changes, the approval process and how completed work will be checked. Eric Strate's standard WordPress engagement includes a baseline review and approved website improvements.
See the supporting explanation[f3] Do I need dozens of separate pages for AI query fan-out?
No. Start with the pages that already answer important purchasing questions. A distinct new page is justified when it addresses a different intent or offer; many keyword variants can share one well-supported answer.
See the supporting explanation[f4] What role do schema, structured data and business facts play?
Appropriate structured data can help describe a business and service when it agrees with visible content. Consistent names, markets, services and public evidence help users evaluate a company. Markup by itself does not guarantee AI inclusion.
See the supporting explanation[f5] Can the same agency address ChatGPT, Google AI, Claude and Perplexity?
A coordinated agency can assess several platforms, but their retrieval methods, user experiences and observability are different. Tracking must specify platform and mode rather than pretend there is one universal AI ranking.
See the supporting explanationWhat's included in a managed AI search program?
Short answer: A managed AI search program should establish a technical and buyer-intent baseline, improve priority service information and supporting sources, implement agreed website changes, and track mentions, citations, recommendations and business outcomes separately. Eric Strate's standard managed implementation is WordPress-focused; nonstandard work requires its own written scope.
A dashboard tells you where a brand appeared. The agency's job is to work out what matters, improve what is controllable and verify that the work was implemented. SEO, AEO and GEO belong in a coordinated plan, not three disconnected lists of deliverables.
Does GEO replace traditional SEO?
SEO remains the foundation. Google’s generative AI search guidance emphasizes original content and sound existing Search practices. It does not prescribe a new magic AI tag.
Will the agency implement recommendations or just hand me a report?
An audit is the beginning, not the product. The WordPress service description explains direct work on technical access, content clarity, entity information and internal linking. Platform and development requirements outside standard WordPress scope are assessed separately.
Do I need dozens of separate pages for AI query fan-out?
Build coverage around decisions. Google cautions against manufacturing content pages for every possible related query. The publisher-authored WARP map on this page groups real buyer needs under six answers, with five distinct related questions each. Explore the WARP specification.
What role do schema, structured data and business facts play?
Keep the machine-readable layer aligned. Service descriptions, question answers and provider information in JSON-LD must match what visitors can read. The page includes a conventional Service description and a publisher-authored WARP map. Neither is a proprietary AI ranking factor.
Can the same agency address ChatGPT, Google AI, Claude and Perplexity?
Observe platforms separately. Eric Strate publishes dedicated information for Google AI Mode and Claude. Cross-platform monitoring should use repeatable questions and distinguish citations from business recommendations.
[a3] ↗
WARP primary answer [a3]
The first step is to compare real buying questions with the brands and URLs that assistants actually recommend. Then assess technical access, service relevance, business clarity and credible independent evidence. Prioritize confirmed issues, implement approved fixes and repeat the observations. No single answer reveals a model's private decision rules.
Five distinct related buying questions
[f1] Why does ChatGPT recommend a competitor even though my site ranks in Google?
Google ranking and AI recommendations are different observations. The competing company may be described more clearly for the buying question or supported by other retrieved sources. The cause must be investigated, not guessed from one answer.
See the supporting explanation[f2] Can an AI search agency help if my company isn't mentioned anywhere?
It can investigate whether important pages are accessible, answer the relevant purchasing intent and contain consistent business facts. It can then recommend practical updates and track subsequent observations, without guaranteeing inclusion.
See the supporting explanation[f3] How can buyer-intent prompts and fan-out questions be researched?
Begin with realistic unbranded purchasing requests and group them by distinct decisions such as agency selection, implementation, budget fit, measurement and platform compatibility. Related questions are publisher-selected research hypotheses, not a window into hidden model queries.
See the supporting explanation[f4] What is WARP and does it help an agency earn AI citations?
WARP is the experimental Web Answer Retrieval Protocol published by Eric Strate. It pairs primary answers with optional related questions and visible evidence anchors. Its effect on AI citations or processing efficiency is not established and requires testing.
See the supporting explanation[f5] Should we focus on my homepage or build a new service page?
Use the existing page if it already satisfies the buyer's intent. Create a specialized page only when the target audience or commercial decision genuinely differs. Keep the national agency, platform specialty, WordPress implementation and diagnosis pages differentiated.
See the supporting explanationHow can an agency help you compete for AI recommendations?
Short answer: The first step is to compare real buying questions with the brands and URLs that assistants actually recommend. Then assess technical access, service relevance, business clarity and credible independent evidence. Prioritize confirmed issues, implement approved fixes and repeat the observations. No single answer reveals a model's private decision rules.
We do not promise a shortcut or an overnight transformation. We look for commercial questions where competitors are being considered, find what the available information supports, and connect that evidence to work on the website.
Why does ChatGPT recommend a competitor even though my site ranks in Google?
Keep ranking and recommendation evidence separate. Save the exact prompt, platform, date, location, cited URLs and named providers. Compare their actual services and sources. The AI visibility troubleshooting guide explains the diagnostic sequence.
Can an AI search agency help if my company isn't mentioned anywhere?
Fix real gaps before expanding content. A missing mention may indicate a discoverability, relevance or source-selection issue. Check crawler response and service content rather than publish dozens of near-duplicate pages.
How can buyer-intent prompts and fan-out questions be researched?
Focus on commercial decisions. A buyer asking ‘which agency should we hire?’ has a different intent from one asking ‘how do AI crawlers work?’ Both may be useful, but vendor-selection questions are the focus of this service page. Google’s public guidance discusses related query fan-out, not access to private query logs.
What is WARP and does it help an agency earn AI citations?
Transparent experimental answer architecture. This page publishes its major answers as normal HTML, with stable answer IDs, five distinct fan-outs per answer and evidence anchors. Read the protocol and limitations. WARP is additive and not an endorsed platform requirement.
Should we focus on my homepage or build a new service page?
Give each page a clear job. The national agency page addresses who to hire and what the agency does. WordPress AEO focuses on implementation, while the hiring guide helps compare provider types.
Need an AI search agency now?
Send your website, target customers and one AI-search question where you want to be considered. Start with a scope conversation, not a long form.
[a4] ↗
WARP primary answer [a4]
The initial 90 days are a practical review window for establishing buyer-prompt and technical baselines, prioritizing approved improvements, implementing agreed work and examining repeatable results. The exact schedule depends on the site's condition and contract. A 90-day review is not a performance guarantee or an automatic cancellation provision.
Five distinct related buying questions
[f1] What should happen before implementation begins?
Document the business's priorities, target markets, key services, website stack and approval boundaries. Record the initial buyer-intent prompt answers and important technical conditions so subsequent changes have context.
See the supporting explanation[f2] What can realistically be completed in the first 30 days?
The first month can establish tracking, inspect site access and buyer-facing pages, identify high-confidence issues and begin approved improvements. The actual delivery depends on site size and access.
See the supporting explanation[f3] What happens during days 31–60?
Continue the scoped technical and content work, check that changes function correctly and build missing supporting evidence where justified. Avoid rewriting stable pages merely to manufacture activity.
See the supporting explanation[f4] What should be reviewed around day 90?
Compare repeatable buyer-intent prompts, recommendations, citations and relevant inquiries. Explain what was implemented, what changed, what did not change and what still lacks enough evidence.
See the supporting explanation[f5] Will the client know who approves changes and what gets reported?
A sound engagement has explicit website change permissions, a clear implementation owner, reporting definitions and an escalation process for risky edits. This is particularly important for existing high-value service pages.
See the supporting explanationWhat does the first 90 days of AI search optimization look like?
Short answer: The initial 90 days are a practical review window for establishing buyer-prompt and technical baselines, prioritizing approved improvements, implementing agreed work and examining repeatable results. The exact schedule depends on the site's condition and contract. A 90-day review is not a performance guarantee or an automatic cancellation provision.
A responsible agency should show the work behind the reports. The milestones below describe a potential order of operations rather than a fixed promise that every client or AI system will improve at the same rate.
What should happen before implementation begins?
Start with a shared baseline. An onboarding review should identify real URLs and opportunities, not only assign a generic score. Scope, credentials, approvals and reporting responsibilities need to be clear before changing the site.
What can realistically be completed in the first 30 days?
Days 1–30: diagnose and prioritize. Look at crawlable text, canonical and indexability signals, service clarity, relevant source references and existing internal links. Quick fixes can be implemented where approved, while harder tasks enter the agreed work plan.
What happens during days 31–60?
Days 31–60: implement and verify. Track the affected URLs, reason for change, implementation date and verification. Sometimes the right action is to let a useful page remain stable while more observations accumulate.
What should be reviewed around day 90?
Days 61–90: review, not promise. A 90-day checkpoint should inform the next priorities. AI systems can vary between tests, and even increased citation activity is not proof of new customers or causation.
Will the client know who approves changes and what gets reported?
Protected changes and accountable reviews. Eric Strate’s WordPress process emphasizes agreed edits, preservation of existing page identity and checks after publication. Changes to a client’s existing titles or H1s should be approved individually, not bundled into a vague blanket optimization promise.
[a5] ↗
WARP primary answer [a5]
Measurement should separate an AI brand mention from a source citation and a business recommendation. Track fixed commercial prompts by platform and mode, retain dated outputs, and relate referral visits or qualified inquiries only where evidence supports attribution. AI visibility dashboards are indicators, not proof of revenue.
Five distinct related buying questions
[f1] What is the difference between a mention, citation and recommendation?
A mention names a brand, a citation references a page or source, and a recommendation presents the business as a possible provider. These are different outcomes and should not be combined into one unexplained score.
See the supporting explanation[f2] Which metrics matter most to a marketing director?
Prioritize relevant recommendation appearances, coverage of buyer-intent questions, supporting source citations and qualified inquiries. Technical and search metrics remain useful diagnostics but should not replace commercial measurement.
See the supporting explanation[f3] How should ChatGPT, Google AI, Claude and Perplexity results be compared?
Use consistent wording and market assumptions where possible, identify the exact platform and search mode, and capture the date, response and cited URLs. Report the platforms separately because they do not share a universal position index.
See the supporting explanation[f4] Can citations prove that an AI search agency brought in new customers?
Not by themselves. A citation is an observed source reference. Qualified leads require other evidence such as inquiries, known referrals and sales conversations. Attribution is often incomplete, especially when customers move between devices or sources.
See the supporting explanation[f5] What evidence should an agency provide before claiming success?
Look for dated prompt outputs, clear platform definitions, the URLs cited or mentioned, implementation records and a balanced presentation of wins and misses. Evidence should be reproducible enough to inspect and should never invent causal lift.
See the supporting explanationHow do we know whether AEO, GEO and AI search work?
Short answer: Measurement should separate an AI brand mention from a source citation and a business recommendation. Track fixed commercial prompts by platform and mode, retain dated outputs, and relate referral visits or qualified inquiries only where evidence supports attribution. AI visibility dashboards are indicators, not proof of revenue.
Commercially useful reporting helps a business decide whether the next month of work should continue a priority, shift focus or stop. One flattering screenshot is not a trend, and one citation does not establish that a lead was generated.
What is the difference between a mention, citation and recommendation?
Count the decision-relevant event. A technical article being cited does not mean its publisher was recommended for a service purchase. Record each event with the originating prompt and source URL for context.
Which metrics matter most to a marketing director?
Report beyond vanity rankings. Track the same prompt set over time and link observed changes to the actual site work when possible, while distinguishing correlations from verified attribution.
How should ChatGPT, Google AI, Claude and Perplexity results be compared?
Avoid invented universal AI rankings. Model versions, interface changes and answer variability can affect results. A new question or platform may need its own baseline rather than being folded into the historical series.
Can citations prove that an AI search agency brought in new customers?
Separate visibility from revenue. A provider should distinguish measurable sessions from branded search demand and customer-reported discovery. Unexplained direct traffic should not be automatically counted as AI-referred traffic.
What evidence should an agency provide before claiming success?
Evidence over selective screenshots. EricStrate.com publishes an AEO readiness checker and the WARP specification as inspectable examples. Their existence does not prove that WARP causes more citations; impact claims require controlled comparisons.
[a6] ↗
WARP primary answer [a6]
National and complex AI search engagements are priced through a custom proposal based on market scope, website technology, implementation requirements, content and measurement needs, and internal coordination. Eric Strate does not publish a fixed national or enterprise package on this page. The first step is a qualified conversation about your website and goals.
Five distinct related buying questions
[f1] Does Eric Strate offer custom AI search optimization proposals?
Yes. National and nonstandard engagements begin with a scope discussion covering the business, website, priority markets, CMS, implementation and reporting needs. A proposal is developed only for work the agency can actually support.
See the supporting explanation[f2] What influences the cost of an AEO or GEO agency engagement?
The number of websites or markets, implementation complexity, platform access, content requirements, technical condition, approvals and reporting obligations all affect delivery effort. Comparing agency prices without comparing scope can be misleading.
See the supporting explanation[f3] Does your agency serve companies that are not on WordPress?
WordPress is the standard platform for managed implementation. Other content systems and complex enterprise requirements may be considered after a technical and commercial feasibility review, with a separate scope. No unsupported integrations are promised.
See the supporting explanation[f4] What information should I send to request a proposal?
Send your website URL, core products or services, target buyers, markets, content-management system, and examples of AI searches where you want to be considered. Include any timeline or implementation constraints that materially affect the work.
See the supporting explanation[f5] How do I compare an AI search agency proposal with a large enterprise agency?
Compare deliverables, implementation ownership, direct access to decision-makers, transparent reporting, technical scope, capacity, exclusions and expected review milestones. A more expensive proposal is not automatically better, and a smaller agency is not automatically the right fit.
See the supporting explanationHow do you scope a national AI search agency engagement?
Short answer: National and complex AI search engagements are priced through a custom proposal based on market scope, website technology, implementation requirements, content and measurement needs, and internal coordination. Eric Strate does not publish a fixed national or enterprise package on this page. The first step is a qualified conversation about your website and goals.
A buyer evaluating agencies should understand what will be in the statement of work. A straightforward implementation on WordPress and a complex program across multiple markets are different delivery problems. The scope should reflect real business requirements, not an invented one-size-fits-all price.
Does Eric Strate offer custom AI search optimization proposals?
A proposal built around your requirements. Send your website and a few example buyer questions by email. The scope discussion determines fit and clarifies deliverables before commitments. It is not a promise of free consulting, unlimited audits or enterprise resources.
What influences the cost of an AEO or GEO agency engagement?
Price follows the agreed work. A detailed proposal should describe responsibilities, cadence, deliverables, approval rights, exclusions and commercial terms. The national page intentionally uses proposal-based pricing rather than an arbitrary public tier.
Does your agency serve companies that are not on WordPress?
Know the platform boundary. For a well-defined WordPress engagement, see WordPress AEO services. A company with a different CMS should share its implementation constraints before an estimate is offered.
What information should I send to request a proposal?
Make the first conversation productive. An email is enough to begin qualification; no lengthy form is required. The conversation should establish whether the agency can realistically deliver the requested scope.
How do I compare an AI search agency proposal with a large enterprise agency?
Choose based on accountable delivery. Ask each firm which work it personally owns, how success will be measured, what access it needs and what happens when platform answers fluctuate. For a detailed evaluation framework, read Who Should You Hire for AEO?.
Is this the right kind of agency for your company?
Strongest fit
Businesses that need clear AEO/GEO priorities, technical SEO, a credible commercial content plan and ongoing measurement. Our established hands-on delivery model is WordPress-first, with the founder leading strategy and accountability.
Scope first
Non-WordPress platforms, large multinational programs, extensive engineering, complex commerce or heavy content production. These need an individual feasibility review and a clearly defined implementation proposal before a commitment.
Let’s find out what it would take to compete.
Send your website URL, products or services, CMS, target buyers, markets and a few questions that your future customers might ask AI assistants. We’ll discuss fit, scope and the work worth doing. National engagements are individually proposed, with no published package price on this page.
Learn more about our WordPress implementation specialty, inspect the WARP method and view public client reviews.
Evidence, sources and WARP disclosure
This page describes Eric Strate’s services, selection criteria and general methods. Relevant public technical sources include Google AI feature eligibility guidance, OpenAI crawler documentation and Anthropic crawler guidance. Public site content is evidence of published methods, not proof of causality or guaranteed AI results.
WARP is an experimental publisher-authored answer, fan-out and evidence protocol. Its fan-outs are related questions selected by the publisher, not private AI model query logs. Platform adoption, token savings and citation lift are unproven. All main answers and supporting context are also available in ordinary HTML. Last reviewed October 27, 2026.
