GEO Audit Pricing for B2B Tax & Payroll Software

By UpGeo · 2026-09-03

A GEO audit for a B2B tax compliance or payroll software company usually costs $2,500–$8,500 as a one-time diagnostic and $1,500–$5,000 per month for ongoing monitoring. Mid-market payroll and compliance vendors that need state-by-state query coverage should expect to pay $4,500–$8,500 for an audit that covers manual AI citation testing, technical GEO review, and a prioritized fix roadmap. At that price, you should be buying data rather than a deck: prompt logs, raw citations, competitor gaps, and specific content changes.

2025 GEO audit pricing benchmarks

The ranges below cover B2B tax compliance and payroll software projects, not enterprise payroll processors with tens of thousands of pages.

Scope	Typical one-time price	What you should receive
Visibility scorecard	$2,500–$4,500	10–20 high-intent queries, 3–4 AI platforms, citation presence/absence, basic recommendations
Full diagnostic	$4,500–$8,500	25–50 queries, 5 platforms, competitor citation gap, technical llms.txt and AI crawler review, fix roadmap
Audit + implementation	$8,500–$15,000	Everything in full diagnostic plus llms.txt implementation, schema fixes, 10–20 content briefs, monitoring setup

Ongoing monitoring tends to cost $1,500–$5,000 per month and covers 20–50 core queries, weekly or biweekly checks, competitor alerts, and recommended updates.

Why tax and payroll vendors pay differently

B2B tax and payroll software vendors compete for two kinds of queries, and AI engines treat them differently:

• Compliance/regulatory queries — “How is the 2025 401(k) contribution limit calculated for catch-up contributions?” or “Does [state] require electronic W-2 filing?”
• Software comparison/operational queries — “ADP vs Gusto for multi-state payroll” or “Can [product] automate local tax withholding?”

These queries carry high intent, but they demand precision. AI engines rarely cite content that reads like product marketing. They are more likely to cite an answer that matches statutory language, includes dated compliance thresholds, and sits on clean structured data. That makes taxonomy, schema, and llms.txt coverage especially valuable in this vertical.

What a useful audit includes

A properly scoped audit has to answer five questions:

1. Where are you cited? Test core queries across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot.
2. Where are you absent? Identify high-intent queries where competitors or third-party sites are recommended.
3. Why are you absent? Analyze citing sources, content structure, freshness, and entity clarity.
4. Can AI crawlers reach you? Reconcile server logs against a current AI crawlers list and check llms.txt, robots.txt, and structured data.
5. What do you fix first? Map fixes to revenue pages and expected impact.

If a proposal does not include raw prompt logs and cited source URLs, the audit is probably too shallow for this vertical.

Line-item price drivers

Component	Typical range	Why it matters
Query inventory and clustering	$500–$1,200	Defines what to test; bad queries make the whole audit meaningless
Manual AI citation testing	$800–$2,500	Prompting each platform, logging responses, screenshots, source URLs
Competitor citation gap	$500–$1,500	Shows which domains are being recommended instead of you
Technical GEO and structured data review	$750–$2,000	llms.txt, robots.txt, AI crawler access, schema coverage
Fix roadmap and content briefs	$750–$2,500	Turns findings into prioritized changes with expected impact

These components explain most one-time fees. A $2,500 audit usually includes limited manual testing and no content briefs; an $8,500 audit should include 50+ query tests, technical fixes, and 10–15 briefs.

How to scope and buy without overpaying

1. Start with a 15–25 query pilot before committing to 75+ queries.
2. Ask for raw citations, not scores. “You are not visible in Perplexity for X” is not actionable without the source URL that Perplexity cited.
3. Require a current llms.txt assessment. Many payroll/tax sites have none, which creates a cheap but meaningful fix.
4. Before you hire, run the company’s site through an llms.txt generator to see whether a missing or malformed file is already an issue.
5. Ask how they handle state-by-state queries. A national audit that ignores California, Texas, New York, or Illinois payroll rules is not worth full price.
6. Require fixed deliverables: query sheet, prompt log, source list, before/after snapshots, and a two-quarter remediation roadmap.

Ongoing monitoring: what to pay

Monthly GEO monitoring should cost less than a full audit because the setup work is already done. For tax and payroll vendors, a reasonable monthly range is $2,000–$4,000 for 20–40 priority queries, weekly checks across three to five AI platforms, competitor movement alerts, and monthly recommendations. Pay only for tracked queries that map to revenue pages, and skip dashboards that don't show a change log.

For a full year, a focused GEO program for a B2B tax or payroll software brand usually costs $25,000–$55,000 once you include the initial audit, implementation, and nine to twelve months of monitoring.

Red flags in GEO audit pricing

• A full audit under $2,000 is usually an automated visibility score with no manual prompting and no technical log review.
• Charging per keyword with no cap is a warning sign. GEO is not PPC, so 50 queries shouldn't balloon to 5,000 without a strategy.
• If the proposal never mentions llms.txt, AI crawler access, or structured data, it likely misses the technical layer that decides whether you get cited.
• Be skeptical of guarantees like “#1 in ChatGPT.” AI responses are probabilistic, so anyone promising a fixed position is overselling.