Opportunities › SEO audit tools for AI-generated content › Proposed app
Fieldnote Audit
Agent-ready SEO and GEO audits that tell you exactly how to fix each issue
- Score
- 44
- confidence 50
- Evidence
- 5
- items on the page
- Rivals
- 1
- named in sources
- First version
- 30 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2004
- Mature market · AI estimate
ScreensConcept
Desktop app: Developers and marketers audit sites, review detailed SEO and GEO reports, and integrate with development tools during focused desk work. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
New audit
Scan complete72 / 100
About this appAI proposal
Fieldnote Audit checks a marketing site for search (SEO) and AI-answer (GEO) problems, then writes the fix for each one. Point it at a URL or a local build folder. Every finding comes with the reason it matters, the exact change to make and a way to confirm it worked.
It is built for marketing teams, developers and the AI agents that generate and maintain sites. An MCP server lets an agent run an audit, read the findings, apply the fixes and re-check, all without leaving its workflow. Core audits run locally, so drafts and staging sites stay private.
Existing auditors, according to the community posts behind this proposal, cost money, ignore agents and list problems without saying how to resolve them. Fieldnote Audit puts the fix first and keeps the core free.
- Tagline
- Find what hurts your visibility. Get the fix, not just the flag.
- Voice
- PracticalPlainCalmDirect
- Why this name
- A fieldnote is a short practical record made on site. Each finding is written like one: what was seen and what to do.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Local-first audits
Run checks on your machine against a live URL or a build folder. Staging and unpublished pages never leave your computer.
No member yet
MCP server for agents
Agents call audit, explain and recheck tools directly, so a generated site can be audited and corrected in one loop.
No member yet
Fix-first findings
Each issue shows why it matters, a ready patch or snippet, and the check that confirms the fix.
No member yet
SEO and GEO in one report
Covers titles, metadata, structure and indexing, plus how clearly AI models can read, quote and attribute your pages.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1F4D3AField Green · primary#F6F2E8Paper · surface#1B1F1CInk · text#E3A82BMarigold · accent#B5502FClay · issue and warning#8FAF9ASage · data
Typography
Aa
Fieldnote Audit
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PricingAI proposal
The material gives no competitor prices, only the claim that existing auditors are costly. These tiers are a starting point to test, with the core kept free as the solution concept proposes.
Local
Free
- Unlimited local audits
- SEO and GEO checks
- Fix guidance for every issue
- MCP server for agents
Pro
$19 a month
- Scheduled monitoring and alerts
- Shareable report links
- Audit history and trends
- Email support
Agency
$79 a month
- Many client sites
- White-label reports
- API access
- Priority support
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Shared outputs. Users send report links to clients and teammates, and agents paste audit summaries into pull requests. Each shared report carries a small Fieldnote Audit credit and a link to run the same audit.
- Do they become customers?
- Report readers are often the site owners and agencies who could buy monitoring. Test whether they click through and run their own audit, rather than only viewing the report once.
- First customers
- Freelance developers and small agencies who build marketing sites with AI coding agents and must hand clients sites that can be found.
- Where to reach them
- Hacker News: Share the free local tool in a Show HN post, answering the thread that showed this need.
- Agent and MCP communities: List the MCP server in directories and developer communities where people build sites with agents.
- Indie web developer forums: Post before-and-after audits of AI-built sites with the fixes applied.
- First milestone
- 200 weekly active local users and five paying Pro or Agency customers within 60 days of launch.
Why people already pay for this
- VerifiedHacker News post received 20 points and 6 comments
- Public claimAI-generated marketing sites typically lack proper SEO optimization and discoverability.
- Public claimExisting SEO audit tools have significant shortcomings: high cost, lack of AI agent integration, and insufficient actionable guidance.
- Public claimGEO (Generative Engine Optimization) is an emerging distinct need for AI model discoverability.
- Public claim
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Site crawlerHeadless browser crawler, local CLIRenders JavaScript-built pages so audits see what search engines and AI crawlers see.
- This app · Agent interfaceMCP server package (npm)Lets AI agents run audits and read fixes directly from their tools.
RisksAI inference
- CommercialA free local core may leave few reasons to pay. Whether monitoring, reports and agency features convert needs testing.
- TechnicalRendering and crawling varied sites locally is fiddly, and check rules for GEO are new and may change quickly.
- AIGenerated fixes may be wrong or harm a site if agents apply them blindly. Patches need clear previews and re-checks.
- DataNo verified signal shows that GEO checks predict real AI visibility, so scores could mislead users.
- PlatformMCP clients and AI crawler behaviour change often, so the integration needs ongoing upkeep.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.