We install the entity graph, structured schema, and citation-earning content that make ChatGPT, Perplexity, Claude, and Google AI Overviews recommend you inside their answer boxes. That is where 40 to 60 percent of buying research now happens, before a click ever reaches your site.
Growth AI Retainer · $5,997/mo. Multi-step qualification, average 90 seconds. No sales call required to see scope and fit.
Answer Engine Optimization (AEO) is the practice of engineering a brand’s entity graph, structured schema, and citation-worthy content so that generative answer engines (ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews) recommend it inside their answer boxes. Unlike SEO, which ranks blue links, AEO earns the citation the AI hands the buyer before a click ever happens.
A GEO audit tells you where you stand. AEO is the productized retainer that installs the entity, schema, content, and knowledge infrastructure required to earn AI citations at scale. We re-measure every quarter.
Your brand, products, personas, and services modeled as a machine-readable entity graph. sameAs links, Wikidata plus Wikipedia coverage, Crunchbase, LinkedIn Company, and industry directory presence built to establish canonical identity for AI models.
Full JSON-LD deployment across Organization, Product, Service, FAQPage, Article, HowTo, Person, and BreadcrumbList. We validate in Google Rich Results and the Schema.org validator, then re-check after every content ship.
40 to 60 word direct-answer blocks paired with expanded explanations, deployed on every priority URL. This is the specific structural pattern AI models extract when they hand a buyer a citation.
Content restructured for AI-citation eligibility: named entity tagging, semantic HTML depth, source-attribution patterns, glossary integration, and an llms.txt manifest. This is the format LLM scrapers preferentially cite from.
A source-of-truth knowledge hub (glossary, category primers, comparison content, and product deep-dives) wired with schema, cross-linked, and syndicated to Wikipedia-adjacent sources AI models trust as authoritative.
Weekly citation sweeps across ChatGPT (4o and o1), Perplexity, Claude, Gemini, Google AIO, Copilot, You.com, and Grok. 60 to 120 category prompts, 3 rotations each. Delivered as a live dashboard with delta charts vs. your named competitors.
Cancel any time with 30 days’ written notice. No annual contract, no exit penalties, no clawback on strategy documents you keep.
Every monthly retainer ships the deliverables scoped in your SOW: 8 to 12 knowledge-hub assets, weekly citation sweeps, schema validation. Miss the count? Next month ships at no charge.
Flat $5,997/mo, invoiced on the 1st. No setup fee, no per-asset overage, no seat-based upcharges. Ahrefs pass-through disclosed transparently at cost.
AI-citation programs fail in one of two places: strategy shops that hand off a plan you cannot execute, or agencies that ship tactics disconnected from an entity thesis. MV3 is the trusted implementation partner. The plan and the build ship in one program.
Before we build a schema tag or draft a quick-answer block, we lock the entity thesis: who your brand is to AI models, which category questions you deserve to own, and which competitors you displace over 90-day windows.
60 to 120 buying prompts assembled from your GSC queries, sales-call recordings, and Reddit or community language. These are the questions your buyers actually ask AI.
Named-competitor benchmarking. Which prompts they own, what content the AI pulls, where their entity graph beats yours.
Positioning statement, authority proof plan, and knowledge-hub taxonomy. It is the single artifact your CMO reads to approve the 90-day roadmap.
Every 90 days: full citation re-sweep, delta report, and next-quarter plan. Adjustments to prompt fleet, competitor set, and knowledge-hub priorities.
Strategy without shipping is a slide deck. Our AEO analysts, schema engineers, and content specialists execute the roadmap inside your CMS. You review, we ship.
Full JSON-LD write-through across Organization, Service, Product, FAQPage, Article, Person, and BreadcrumbList. Validated live in Rich Results.
Direct-answer blocks written and installed on priority URLs. llms.txt manifest generated, deployed, and re-validated on every content ship.
Glossary entries, category primers, and comparison pages drafted, schema-marked, and published on your CMS. Typically 8 to 12 assets per month.
Wikipedia, Wikidata, Crunchbase, LinkedIn, and industry-directory profiles created or corrected. sameAs cross-linking completed and verified.
A repeating five-stage rhythm inside every 30-day cycle. Reproducible against future quarters so citation lift is measured, not guessed.
Kickoff citation sweep across 8 AI models against 60 to 120 prompts. Entity graph audit. Schema coverage grade.
Effort-versus-impact matrix ranks fixes into a 30-day backlog. Weekly sprint scope confirmed with your marketing lead.
Schema, quick-answer blocks, and knowledge hub pages installed. Entity graph presence built and verified across sources.
Weekly citation sweeps. Delta charts vs. named competitors. Which prompts moved, which sources now cite you.
Monthly executive report plus quarterly re-plan. Prompts refreshed, competitor set audited, next-quarter roadmap issued.
Composite testimonials drawn from MV3’s AEO retainer clients. Names and companies are composite, illustrative rather than a single verified account. Outcomes drawn verbatim from monthly review call transcripts.
By month 4 we were showing up as the recommended vendor inside ChatGPT answers on 8 of our 12 category prompts. That is three named competitors who used to own those answers, gone. Our SQL rate from AI-referred traffic is 3.2 times our organic baseline.
We’d spent 18 months on classical SEO with modest lift. Ninety days into the AEO retainer, Perplexity cites our platform as the reference answer on 14 developer-workflow queries. Signups from AI referrers went from 4 in Q1 to 217 in Q3.
The entity graph work alone was worth the retainer. Wikipedia, Wikidata, Crunchbase, LinkedIn Company: all reconciled and cross-linked inside week 6. Six months in, we own the answer box on our category phrase across five of the eight tracked models.
Testimonials are composite representations drawn from anonymized MV3 client review calls. First names, roles, and outcomes are directional composites, illustrative rather than tied to specific named companies.
Aggregate metrics across MV3’s B2B AEO retainer engagements, trailing 12 months. Individual results vary by category, DR, and existing content depth.
Median AI citation growth across the 8 tracked models by month 6
of tracked buying prompts return your brand in the AI answer by month 4
New AI citations earned per quarter across category-defining prompts
of engagements ship a validated schema architecture and live llms.txt in Week 2
Aggregate reporting only.
Six representative AEO engagements. Industry and outcome shape shown so you can locate your own scenario.
From 0 to 14 Perplexity citations on developer-workflow prompts in 90 days. AI-referred signups went from 4 to 217 in one quarter.
Owned the answer box on the category-defining prompt across 5 of 8 tracked LLMs by month 6. Displaced two named competitors.
Schema architecture rebuild + entity graph reconciliation. ChatGPT began recommending the platform on 11 of 15 tracked prompts by month 4.
Knowledge hub built from zero. 84 glossary entries and 22 comparison pages in 6 months. Gemini and AIO citations up 5.1 times.
Displaced the incumbent category leader inside Claude and Copilot answers on 6 buyer prompts. Sales cited AI referrals in 38% of Q3 deals.
Multi-brand agentic AEO across 3 product lines. Aggregate citation footprint 4.6 times. Named as the reference vendor in 71% of tracked prompts.
Case snapshots are anonymized composites. Case-study detail pages available under active MSA.
AEO is the wrong purchase for a real number of buyers. We would rather tell you now than take a bad-fit retainer and both regret it in 60 days.
Schema fixes register in 1 to 3 weeks, but content-driven citation lift is a 90 to 180 day story. If your CMO needs a Q1 miracle, AEO is the wrong purchase.
We are not the low-cost provider. Growth AI is $5,997/mo because we ship implementation, not just strategy decks. Buy on price and you will get a price product.
We deploy schema and content into your live CMS. Without editor-role access or SFTP, plus 30 minutes of your marketing lead’s time, we cannot ship the program you are paying for.
If you want a snapshot, buy the $997 GEO Audit. That is the right product. The AEO retainer only compounds after month 3, and a 30-day trial is not how this discipline works.
Some brands (regulated finance, medical, luxury) explicitly do not want to be summarized by AI answer engines. That is a valid choice, and it means AEO is not the right service.
Below is what the same scope would cost sourced à la carte from equivalent specialist shops. The bundled retainer is about 40% under retail because MV3 productizes the workflow.
Productized retainer · 90-day minimum · quarterly re-measure · 30-day cancel notice
The $997 GEO Audit credits toward your first month if you convert inside the audit review call.
Technical SEO specialist with expertise in Core Web Vitals, JavaScript rendering, structured data, and large-scale crawl optimization for enterprise B2B sites. Our team of SEO professionals, schema engineers, and content specialists ships every AEO engagement under review.
Every quarter you wait, competitors compound. The AEO retainer starts producing measurable citation lift by month 3. Share-of-answer position stabilizes by month 6.
AI Marketing & SEO Automation, All States
AI Content & SEO Infrastructure for B2B companies that want to own their growth channel , not rent it.
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