Your Business Ranks on Google. AI Search Doesn't Know You Exist. Here's the 12-Week Fix.

You have been in business for years. You rank on Google for your category, your brand name pulls up your site, and your reviews are real. Then you ask ChatGPT or Perplexity to recommend a provider in your space — and your business is nowhere in the answer. This is the lived experience of most established businesses right now, and it is not a sign your product is weak. It is a sign you optimized for one machine and are being judged by another.

Google rankings and AI-engine citations are built from entirely different signals. Google rewards link-graph position and keyword authority. AI engines draw on training data, crawlable content, your external citation footprint on the sources they trust — Reddit, industry directories, trade publications — and structured markup that tells them who you are. Businesses that spent a decade optimizing for Google frequently have thin AI-citation footprints, because those are distinct optimization targets, not the same job done twice.

The gap is measurable, and it is wider than most owners expect: roughly 81% of ChatGPT-cited brands don't rank in Google's top 10. The two systems are genuinely measuring different things, which is why a strong Google presence offers no guarantee of AI visibility. The first step is to diagnose exactly where you stand — which is what the V1 GEO Audit inside this bundle is built to do.

AI invisibility is not one problem. It is two distinct citation pathways with different root causes, and most businesses are invisible on both at once without realizing they are separate failures. National AI visibility governs how AI engines answer industry-level and product or service queries — "best [service] for [use case]" — where your brand should surface on expertise and entity recognition. Local AI visibility governs how engines answer "near me" and "[service] in [city]" queries, where your location and Google Business Profile signals decide who gets named.

A dental practice, a law firm, a home-services business — each is invisible in two ways simultaneously. Run a national audit without the local layer and the geographic citation pathway stays undiagnosed: you fix industry-level recommendations and remain absent from every "near me" answer. Run only the local audit and you miss the content and schema gaps that drive the broader, category-level recommendations. Neither half is optional.

Both dimensions have to be mapped before implementation begins, which is why this bundle pairs a national diagnostic with the V2 Local GEO Audit. One brief, both pathways, no blind spots left for implementation to trip over.

The recon phase is measurable, not guesswork. Prompt testing runs 20–40 buyer-intent queries across five AI platforms — ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — and maps exactly which competitors appear, for which queries, and on which platforms. You stop wondering whether a rival is beating you in AI search and start seeing the named list of who surfaces in your place, query by query.

Competitor citation analysis then diagnoses what appears to be driving those mentions: schema coverage, off-site footprint, content extractability — the signals an engine reads before it decides whom to quote. That converts a vague worry into a mapped gap list with a ranked priority matrix, so the work is sequenced by expected citation impact rather than gut feel.

The combined recon from V1 national prompt testing and competitor benchmarking and V2 local citation recon produces one unified brief covering both citation pathways — before a single implementation fix is touched.

This is what makes CATCH-UP a single operation rather than three services sold side by side. The V1 GEO Audit ($2,500) maps national AI visibility gaps across five platforms: which queries surface your brand, which surface competitors, and what crawlability and schema signals are blocking or enabling citations at the industry and product level. The V2 Local GEO Audit ($1,800) maps local AI citation gaps: neighborhood-level and "near me" prompt testing, the Google Business Profile signals feeding AI local answers, and local citation consistency as a trust signal.

Together, V1 and V2 produce a unified priority matrix covering both citation pathways — the full diagnostic picture of where the business is invisible and why. The I1 GEO Implementation Sprint ($4,500) then consumes that matrix. It executes the highest-ROI fixes both audits identified in a fixed 30-day sprint: schema implementation, content restructuring for extractability, robots.txt and crawler-access corrections, external citation footprint work, and GBP optimization.

The order is the point. I1 is executing against a brief built from both audit outputs at once. Running I1 before either audit means implementing blind. Running V1 without V2 leaves the local citation layer undiagnosed. Running V2 without V1 misses the content and schema gaps that govern industry-level recommendations. The sequence is not packaging — it is methodology.

With a structured diagnostic-first approach, an established business can complete a full AI-visibility audit in four weeks and implement the highest-impact fixes in a further eight weeks — a 12-week total programme. The timeline is compressed compared to starting from scratch because established businesses already have content assets, schema foundations, and Google Business Profile presence to build from; the work is optimization and gap-filling, not construction. Measurable citation improvement typically appears in AI engines within four to six weeks of implementing structural fixes.

Weeks 1–2 — V1 GEO Audit in progress: prompt testing across five AI platforms, technical crawlability audit (GPTBot, ClaudeBot, PerplexityBot), schema and entity markup review, content extractability scoring, and competitor citation benchmarking for up to three competitors. Initial findings become available.

Weeks 3–4 — V2 Local GEO Audit in progress; combined brief synthesized: local citation footprint audit, GBP AI signals review, neighborhood-level prompt testing, and a local schema check. In the final week of Phase 1, V1 and V2 findings combine into the unified priority matrix that I1 will execute against.

Weeks 5–12 — I1 GEO Implementation Sprint: schema implementation, citation-ready content changes, robots.txt and CDN corrections, external citation footprint work, and GBP optimization. The sprint delivers in 30 days (Weeks 5–8); Weeks 9–12 are the post-implementation review window before the 30-day re-check.

By the end of Week 4 you hold the full combined output of V1 and V2 as a single set of deliverables — everything you need to see where the business is invisible and why, before any implementation begins:

1. Prompt test results across 20–40 queries on ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.
2. Technical crawlability report: GPTBot, ClaudeBot, PerplexityBot pass/fail per key page.
3. Content extractability score per priority page, with ranked rewrite flags.
4. Schema and entity gap analysis (national layer).
5. Local citation footprint audit and GBP AI signal check (local layer).
6. Neighborhood-level prompt test results for local and "near me" queries.
7. Competitor citation benchmarking: who is appearing in your place, on which platforms, for which queries.
8. Unified 90-day priority matrix — all V1 + V2 findings ranked by expected citation impact. This is the brief I1 executes against.

You receive the combined brief at the end of Week 4. It is yours to keep regardless of whether you proceed with I1 — but I1 is designed to execute it at the highest-ROI pace.

The I1 sprint does not produce vague "improvements" — it makes concrete, named changes to your site and digital footprint, all targeting the gaps the combined diagnostic ranked highest:

• Schema implementation: FAQPage, LocalBusiness, Service, and Organization schema in JSON-LD, deployed on the priority pages the diagnostic identified.
• Content restructuring: pages that scored low on extractability are restructured for answer-nugget density; headings are rewritten to match buyer-intent query format; answers are front-loaded.
• Crawlability corrections: robots.txt Disallow directives corrected for GPTBot, ClaudeBot, and PerplexityBot; CDN/WAF rules reviewed; JavaScript rendering dependencies flagged and mitigated.
• External citation placements: one to two reciprocal-network link integrations, plus Reddit and Quora monitoring setup for the conversations AI engines pull from.
• GBP structured data optimization for the local citation layer V2 identified.

This is not a content marketing retainer. I1 is a fixed-scope, fixed-price sprint — the changes are executed in 30 days, and the 30-day post-implementation re-check measures the citation delta.

It fits you if: you have been in operation three or more years; you have an established Google presence (you rank for your own brand name, you have a live Google Business Profile, you have real customer reviews); and you are identifiably invisible in AI search — you can test this in minutes by prompting ChatGPT or Perplexity with your category plus location and watching at least one competitor get cited in your place. Dental practices, legal firms, and home-services businesses are the verticals this programme was built around.

It does not fit if: your business is less than 12 months old (you need Foundation work first, not catch-up); you have no existing content, GBP, or established online presence (that is a different entry point); or you operate in a highly regulated industry with AI-citation restrictions (contact us for an assessment). If you are earlier-stage, the full service catalog — including Foundation and strategic entry points for newer businesses — maps the better starting move.

Timeline: 12 weeks from kickoff to implementation sprint completion. The diagnostic phase (V1 + V2) runs Weeks 1–4, the implementation sprint (I1) runs Weeks 5–8, and the post-implementation window runs Weeks 9–12.

What comes next: the natural engagement following the 12-week programme is the I3 Quarterly GEO Refresh — the next recommended engagement after the programme, maintaining and compounding the citation gains from the sprint on a quarterly cadence.

RoboStrikeForce: 15 years in tech, a team of 8 across operations and execution. Based in Kuala Lumpur (GMT+8), deployed across US, UK, AU, and SG markets.

Every intake is reviewed by a senior operator within 24 hours. No SDR funnels, no junior team handoffs. Every engagement is fixed-scope and fixed-price — a defined deliverable and a defined timeline, every time. Full operator background is on the about page.