When prospects ask ChatGPT, Perplexity, Google AI Overviews, Gemini, or Claude "who is the best <service> in <city>" — or "what does <your category> cost in <metro area>" — do they see you or your competitors? Most local service businesses are completely invisible inside AI answers. Our AI AEO / GPT Visibility packages restructure your entity graph, schema, content depth, and third-party citation profile so LLM answer engines treat you as the canonical authoritative answer for your category and market.
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AI AEO / GPT Visibility Packages & Pricing
No prompt-stuffing, no LLM-poisoning, no fake citations. Every signal we build is something LLM training pipelines actually weigh — entity clarity, schema completeness, evidence-backed content, and authoritative third-party citation.
Starter
Growth
Scale
Free AI Visibility Audit
Send us your domain. SeoMata will run prompts across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude on your category + geography — then report exactly where you appear (or do not), why, and which tier closes the gap.
AI AEO
A monthly retainer that engineers the three signals LLM-based answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude) verifiably weigh: (1) entity + schema clarity, (2) chunkable evidence-backed content depth, (3) high-authority third-party citation. The goal is for these LLMs to cite + recommend your business by name when buyers ask about your category and geography.
A SeoMata package always ties AI visibility back to two measurable outcomes: share-of-voice across 5–7 LLMs (we run prompts every 2 weeks) and attributed traffic + leads from AI-driven referrals (where the analytics layer supports it). No magic, no guesses — bi-weekly prompt tests show exactly which LLM picked you up, on which prompt, with which citation source.
Why now
Perplexity grew from 0 to 230M+ monthly queries in under 24 months. ChatGPT has 800M+ weekly users — many of them asking buying questions ("best <category> in <city>", "<category A> vs <category B> pricing", "is <vendor> trustworthy"). Google AI Overviews now occupies the top of the SERP for an increasing share of commercial queries.
Most service businesses are completely invisible inside these answers. The ones that show up — when a prompt asks "who is the best <category> in <city>" — get the next 5–10 years of compounding inbound discovery. Engineering AI visibility now is the new equivalent of engineering Google SEO in 2008.
How to choose
Pick the $699 Starter tier when you are starting from zero AI visibility, have a single primary service or category, and need the foundational engineering — entity schema, GEO + LocalBusiness markup, 4 LLM-ready content modules per month, monthly prompt tests across ChatGPT + Perplexity + Google AIO.
Pick the $1,499 Growth tier when you have 2–3 services or a single competitive category, need comparison + "vs competitor" pages, AI-quotable citation placements, and bi-weekly prompt tests across 5 LLMs (Starter coverage + Gemini + Claude). Most growing service businesses fit here.
Pick the $2,999 Scale tier when you operate multi-location, compete in saturated verticals, or need to dominate share-of-voice across all 7 major LLMs. Includes Wikipedia + Wikidata entity entry support (where qualifying), expert-citation feature placements, AI-readable knowledge base build, dedicated AI visibility strategist.
FAQ
The /digital-marketing/ai-seo service page explains the methodology and the why — what AI AEO is, why LLMs cite some businesses and not others, the engineering layers involved. This page is the productized monthly retainer with concrete tiers, deliverables, and pricing for that work. Most buyers read the service page first, then come here to pick a tier.
Starter covers ChatGPT, Perplexity, Google AI Overviews. Growth adds Gemini + Claude. Scale adds Bing Copilot + You.com. We track which LLMs actually drive traffic and revenue for your category — most B2B service categories see early signal from Perplexity + Google AIO, most consumer-local categories see early signal from ChatGPT + Gemini.
No. Prompt-stuffing, hidden text, LLM-poisoning, and fake citations are short-lived (LLM training pipelines deweight them quickly) and reputationally risky. We only engineer the durable signals — entity clarity, schema completeness, evidence-backed content, real third-party citation — that LLM training pipelines actually weigh and reward.
First signal usually shows in 60–90 days as schema + content + early citations get crawled. Meaningful share-of-voice (the LLM consistently mentioning you in its answer for 5+ buyer prompts) usually emerges in months 4–6. Compounds significantly after month 6.
No — and any vendor that does is lying. LLMs are probabilistic and update their training data on their own cadence. What we can guarantee is the engineering work: entity + schema + content + citations that LLM training pipelines verifiably reward. We measure with bi-weekly prompt tests so you can see progress in real numbers.
The opposite — most of what we build (clean entity + schema, evidence-backed content, authoritative citations) is also rewarded by Google's classic ranking algorithm. Clients on this package typically see classic SEO rank lifts as a side effect.
