Know Your AI Search Position Before You Spend a Dollar on Optimization — The RECON Load-Out
You’ve heard that AI search is changing how customers find businesses. You suspect you may be losing ground. But you’re not ready to commit to a full optimization program without knowing what you’re actually dealing with. RECON is the lowest-friction entry point in the RSF catalog — a defined, time-boxed diagnostic that gives you an evidence base before you invest in implementation. Audit first. Decide with data.
What Is the RECON Load-Out — and Who Is It For?
RECON is built for one buyer situation in particular: the dentist whose new enquiries have quietly dried up, the contractor who noticed Google traffic flatline while a competitor’s call volume seems to have grown, the solicitor whose firm ranks on page one organically but never appears when buyers ask Perplexity for local advice. These buyers share a pre-commitment diagnostic intent — they want to know whether they have a problem before they spend on a fix.
RECON answers that question in a fixed 10 business days. It is a productized bundle combining the V1 GEO Audit with an optional V3 Competitive Intelligence Brief at the $5,000 tier. At entry ($2,500), it delivers a full diagnostic of your AI search position. At the expanded tier ($5,000), it adds a structured competitive intelligence layer: not just "here is your position" but "here is exactly what your closest competitors are doing to hold theirs."
Think of RECON as the lowest-friction entry point in the RSF catalog — defined scope, fixed price, no retainer attached, and a credit-back mechanic that means the diagnostic fee applies toward implementation if you decide to proceed. You can see the full RSF catalog to place RECON in the wider stack, but you do not need to commit to anything beyond the audit to start.
Why Audit Before You Implement
Optimization without a baseline is guesswork — and expensive guesswork. Without a diagnostic, implementation programs routinely fix the wrong things first. Three things only a baseline audit can establish: whether AI crawlers can reach your site at all (studies show 62% of sites accidentally block GPTBot and 69% block ClaudeBot — via CDN rules, blanket Disallow directives, or outdated robots.txt templates); which specific buyer prompts your competitors are winning and why, mapped query by query rather than felt as vague pressure; and which fixes will move your citation rate fastest, so the first implementation dollar goes to the highest-leverage fix rather than an arbitrary starting point.
Should you get a GEO audit before spending money on AI search optimization? Yes — without a baseline audit, AI search optimization is guesswork. An audit establishes which AI platforms can actually crawl your site (62% of sites accidentally block GPTBot; 69% block ClaudeBot), which buyer prompts your competitors are winning, and which content and technical gaps are easiest to close first. Agencies that skip the diagnostic phase frequently fix the wrong things. A 10-business-day GEO audit produces a prioritized 90-day action plan — so your first implementation dollar goes to the highest-impact fix, not an arbitrary starting point.
The audit tells you what to do and in what order. Implementation does it. Running implementation before an audit risks spending on low-impact fixes while the high-impact ones go untouched. The V1 GEO Audit is the core RECON component — the diagnostic that makes the rest of the sequence evidence-led.
What the V1 GEO Audit Delivers in 10 Business Days
The $2,500 tier is six components, each producing findings you can act on. Prompt testing runs 20–40 buyer-intent queries across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews to establish where your brand surfaces and where it disappears. The technical crawlability audit checks GPTBot, ClaudeBot, and PerplexityBot access across robots.txt, CDN, and rendering layers — the most common source of invisible-but-fixable AI blindspots. The content extractability review scores each priority page for AI-engine readability and flags the rewrites with the highest citation-rate impact.
The schema and entity markup audit validates structured data and brand entity association in AI knowledge graphs — low effort, high leverage. Competitor citation benchmarking maps up to three direct competitors on the same prompts, turning "I’m invisible" into "here’s who is taking my citations and why." And the 90-day prioritized action plan sequences every finding by expected citation impact — the deliverable you hand to your team, or to the next RSF worker, to execute.
In short, a thorough AI search diagnostic for a small business covers prompt testing across five AI platforms on 20–40 buyer-intent queries; a technical crawlability check confirming GPTBot, ClaudeBot, and PerplexityBot can access your site; a content extractability review of your highest-traffic pages; schema and entity markup audit; competitor citation benchmarking against 2–3 direct competitors; and a prioritized 90-day action plan sequenced by impact. See the full V1 service detail for the component-by-component scope.
V1 + V3: Why Add a Competitive Intelligence Brief?
The $5,000 tier draws a sharp line between two questions. V1 (the GEO Audit) tells you YOUR position — where you’re invisible, what’s blocking the crawlers, and what content AI engines can’t parse. V3 (the Competitive Intelligence Brief) tells you what your COMPETITORS are doing right — specifically, which content signals, citations, and structural choices are winning them the prompts you’re losing. Together, V1+V3 produces not just "here’s your problem" but "here’s exactly how your closest competitors solved it, and where you can overtake them."
V3 is highest-value in a few familiar situations: dental practices in competitive metro markets where one or two practices appear consistently in AI answers for "[specialty] near me"; law firms competing for injury or family-law prompts where a competitor is getting named as the recommended firm by ChatGPT; and HVAC contractors in urban franchise markets where AI engines have picked a preferred provider and it isn’t you.
If V1 finds you’re invisible, V3 finds who’s winning instead — and shows you the specific signals to replicate and surpass. The two together make implementation decisions obvious rather than speculative. See the full V3 service detail, or read how V1 and V3 interact across the diagnostic.
The RECON Sequence: Kickoff to Next Step
The 10-day window runs on fixed phases:
Day 1 — Intake and briefing. Service area, target
buyer prompts, and named competitors confirmed in writing.
Days 1–5 — Technical review. Crawlability and
schema: GPTBot, ClaudeBot, and PerplexityBot access, robots.txt,
the CDN layer, and entity markup.
Days 3–8 — Prompt testing. 20–40 buyer-intent
queries across five AI platforms, mapped against your position and
up to three competitors. On V1+V3, the V3 competitive intelligence
research runs in parallel.
Days 6–10 — Action plan. Findings sequenced by
expected citation impact into the 90-day plan.
Day 10 — Delivery call and report handoff.
After delivery, a 60-day credit window opens immediately at handoff. Book any of CATCH-UP, RIVAL TAKEDOWN, or MULTI-THEATRE within that window and 50% of the RECON fee applies as a credit toward the implementation bundle.
The Credit-Back Mechanic: RECON as a Deductible, Not a Sunk Cost
Here is the mechanic, stated plainly. On the V1 audit ($2,500), 50% of the fee — a $1,250 credit — applies toward CATCH-UP, RIVAL TAKEDOWN, or MULTI-THEATRE if booked within 60 days of audit delivery. On the V1+V3 audit ($5,000), 50% of the fee — a $2,500 credit — applies toward the same three bundles, within the same 60-day window.
You are not paying for a diagnosis and then separately paying for treatment. You are paying for a diagnosis that applies toward treatment. The RECON fee is a deductible on the larger implementation investment — not a sunk cost. Credit-back mechanics are rare in the AI search services market, and RSF’s applies at a lower price point, with a shorter timeline, and toward defined productized bundles rather than an open-ended retainer — so you know exactly what you’re crediting toward before you book.
How much does it cost to audit your business’s AI search visibility? Professional AI search visibility audits for small businesses range from $2,500 to $7,500 depending on scope. A single-service or single-location audit typically runs $2,500–$4,500 and delivers a full technical review, prompt testing across five AI platforms, competitor citation benchmarking, and a 90-day action plan within 10 business days. Some providers apply the audit fee as a credit toward implementation; RoboStrikeForce credits 50% of the RECON audit fee ($1,250 on a $2,500 audit; $2,500 on a $5,000 audit) toward any CATCH-UP, RIVAL TAKEDOWN, or MULTI-THEATRE bundle booked within 60 days.
And if the audit finds nothing major? The 90-day action plan will say so, and you can decide not to proceed. The credit simply doesn’t apply — but the findings, the report, and the plan are yours to keep. No implementation engagement is required.
Which Implementation Load-Out Does RECON Point To?
Three implementation paths, each matched to a RECON finding.
CATCH-UP. The audit found technical and content gaps — crawlability blocked, schema missing, content not extractable. You’re not losing to competitors on strategy; you’re losing because the infrastructure isn’t in place. CATCH-UP closes that baseline gap.
RIVAL TAKEDOWN. The V1+V3 audit found specific competitors consistently outperforming you on the buyer prompts that matter, and the competitive intelligence brief mapped exactly what they’re doing right. RIVAL TAKEDOWN builds a head-to-head response targeted at those query gaps.
MULTI-THEATRE. The audit found visibility gaps across multiple AI platforms, service lines, or locations. The problem isn’t a single lever — it’s a coordinated program across multiple fronts, and MULTI-THEATRE covers that broader scope.
If the audit concludes your AI search position is already strong, the plan will say so. No credit is required, and no next step is obligatory — the brief is the product. Compare paths in the full catalog.
Who Is RECON For? Common Buyer Situations
The dental practice owner. Google traffic has been flat for three months. A patient mentioned they "asked ChatGPT for a dentist" and got recommended a competitor two miles away. RECON runs 20–40 buyer-intent prompts across five AI platforms, maps exactly which competitor is taking the citation and on which queries, and checks whether GPTBot can even reach the practice’s site. The plan sequences the fixes: crawlability first, schema second, content structure third.
The family-law solicitor. Ranking on page one organically, but a paralegal noticed the firm doesn’t appear when querying Perplexity for local family-law advice. RECON establishes which competitors are being cited instead, and why — often a structured FAQ layer they’ve added that the firm hasn’t. The action plan closes that specific gap.
The HVAC contractor. A competitor appears to be capturing more inbound volume despite comparable Google presence. RECON V1+V3 maps the competitor’s AI citation share-of-voice and identifies the content signals driving it. The 90-day plan targets those signals directly. Each vignette starts from the V1 GEO Audit scope detail.
Reply within 24h. Audit delivered in 10 business days.
Who runs this
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 operation is fixed-scope and fixed-price — a defined deliverable and a defined timeline, every time. Every intake is reviewed by a senior operator within 24 hours. No SDR funnels, no junior team handoffs. With RECON, what you buy is the diagnosis and the plan to act on it. Full operator background is on the about page.
Frequently Asked Questions
- How do I know if my business is losing customers because of AI search?
- Open ChatGPT and Perplexity, ask the questions your buyers ask, and see whether competitors appear and you do not. If Google traffic has plateaued for six months with no ranking drop, AI answers may be absorbing the clicks. A RECON audit maps it across five platforms.
- Should I get a GEO audit before spending money on AI search optimization?
- Yes — without a baseline, optimization is guesswork. The audit establishes which platforms can crawl your site, which prompts competitors are winning, and which gaps are cheapest to close first, so your first implementation dollar goes to the highest-impact fix.
- What is the difference between an AI search audit and AI search optimization?
- The audit is the one-time diagnostic — it measures visibility, tests crawler access, benchmarks competitors, and sequences a 90-day plan. Optimization is the implementation that follows. The audit tells you what to do and in what order; implementation does it.
- How much does it cost to audit my business's AI search visibility?
- Professional audits run $2,500–$7,500 by scope. RECON starts at $2,500 for the V1 GEO Audit, $5,000 for the V1+V3 tier, and credits 50% of the fee ($1,250 or $2,500) toward implementation if you book within 60 days.
- What does a small business AI search diagnostic include?
- Prompt testing across five AI platforms on 20–40 buyer queries, a crawlability check for GPTBot, ClaudeBot, and PerplexityBot, a content extractability review, a schema and entity audit, competitor citation benchmarking, and a prioritized 90-day action plan.
You get a full diagnostic across five AI platforms, a ranked list of what’s blocking your citations, and a 90-day action plan — delivered in 10 business days. Fifty percent of the audit fee credits toward implementation if you choose to proceed.