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NostalgaiVerified

GEO & content optimization

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Free deterministic scanner that scores a public website's answer-readiness across 16 observable checks.

Screenshot of NostalgaiVerified · citedindex.com
From
Free (ongoing)
Pricing model
free
Free tier
Yes
Public API
No

Our verdict

Nostalgai earns its slot by being one of the few AEO scanners on this site that is genuinely free, genuinely inspectable, and honest about its limits.

Every score line carries the excerpt or element that drove the verdict; the method is published; the scanner stores nothing. The trade-off is that it is a one-person operation: the scanner itself is a deterministic check on one page at a time, and the paid Fix Pack is delivered manually.

Buyers expecting ongoing AI visibility monitoring, share-of-voice tracking, or a promise that any specific model will cite them should look elsewhere — the vendor says so up front.

For a solo operator or small team that wants a defensible, reproducible baseline answer to 'is my homepage ready to be picked up by AI answer engines' before committing to a deeper audit, this is the cheapest and most transparent starting point we list.

What is Nostalgai?

Nostalgai is a free, deterministic scanner that evaluates a public website's answer-engine readiness across sixteen observable checks grouped into identity, access, proof, and decision support. The scanner runs in roughly ten seconds against one homepage plus /robots.txt and /llms.txt, returns a 100-point score with cited evidence behind each result, and stores nothing. It is a diagnostic, not a monitoring tool: there is no API, no AI model calls, no traffic measurement, and no promise of citation outcomes.

What does Nostalgai do?

The scanner fetches a single public URL, then runs deterministic pattern checks against the HTML plus the availability of robots.txt and llms.txt. Each of the sixteen checks carries a point value drawn from a published rubric — identity (30), access (20), proof (25), decision support (25).

Every check returns a pass or fail with the observed excerpt, the URL or element that produced the signal, and the reason for any failure. The aggregate score is paired with a sample audit that demonstrates what the scanner cannot catch, including a trust gap the operator flagged on the scanner's own site.

How Nostalgai works

  1. Paste a public homepage URL into the scanner form.
  2. The tool fetches the page, /robots.txt, and /llms.txt on demand.
  3. Sixteen deterministic pattern checks run against the markup and content.
  4. Each check returns a verdict, the observed excerpt, and the element or URL it inspected.
  5. A 100-point score appears in roughly ten seconds with the full evidence behind every line.
  6. A separate, paid Fix Pack turns the gaps into a publish-ready implementation package.

Key features

Sixteen observable checks
Covers identity, crawler access, attributable proof, and decision-support signals. Every check returns the observed excerpt or element that drove the verdict, so the score is reproducible.
Inspectable evidence behind every line
Each score item points to the exact URL, element, or excerpt that was tested. The scanner does not return a verdict the reader cannot re-derive from the underlying page.
No signup, no API keys, nothing stored
Inputs are not retained. The page is fetched on demand, scored, and the result is rendered immediately.
Free to run, paid to ship
The scanner is free. A separate, fixed-price Fix Pack is offered to convert the findings into a publish-ready implementation package.
Explicit no-guarantees framing
The vendor publishes the limits of the method up front — deterministic checks can miss equivalent language or award points to weak content.
Public methodology with point weights
Each check carries a published point value and weight, and the full rubric is available at /method.

What are Nostalgai's use cases?

Quick AEO readiness check
A founder wants a defensible yes/no answer on whether their homepage currently gives AI answer engines enough to work with — without paying for a full audit or signing up for a monitoring subscription.
Pre-redesign baseline
A team planning a homepage redesign wants a reproducible baseline score they can re-run after the relaunch and compare the before/after against.
Sales conversation opener
An agency or consultant uses the scanner to generate a third-party score they can walk a prospect through before pitching deeper AEO work.
AEO education
A team new to answer-engine optimization wants to see what 'good' looks like on a real site, with the same instrument they can later run on their own homepage.

Who is Nostalgai for?

  • Solo founders and small operators running their own marketing
  • Independent practices and local businesses with a public service to explain
  • Marketing and web teams preparing for AI-driven discovery
  • Agencies looking for a defensible third-party baseline before pitching AEO work

Not forAnyone looking for ongoing AI visibility monitoring, share-of-voice tracking across answer engines, or a guarantee that a specific model will cite them — the vendor is explicit that the scanner does not query models, predict citations, or measure traffic.

Why use Nostalgai?

  1. One of the few free, transparent AEO scanners on this site — every score line carries inspectable evidence.
  2. The methodology is published in full with point weights, so the verdict is reproducible.
  3. No signup, no API key, no email gate — paste a URL, get a score, leave.
  4. Frames the limits honestly: deterministic checks can miss equivalent language or award points to weak content.
  5. Pairs a free diagnostic with an optional, fixed-price Fix Pack, so the user controls whether to take the next step.

What are Nostalgai's pros and cons?

What's great

  • Every score line carries the observed excerpt or element that produced the verdict — the verdict is reproducible from the underlying page.
  • Free, no signup, no API keys, nothing stored.
  • The methodology and point weights are published in full, with a sample self-audit that shows what the scanner cannot catch.
  • The vendor is explicit about what the scanner does not do — no model calls, no citation prediction, no traffic measurement.

Watch-outs

  • Operated by one person (Sarah van Oorsouw) — the paid Fix Pack is a manual delivery, not a productized service.
  • The scanner runs against one page at a time, so a full-site audit requires multiple runs.
  • Does not query AI models, predict citations, or measure traffic — buyers expecting 'will ChatGPT cite me?' will not find an answer here.
  • No public API; only the web form is available.
  • Deterministic pattern checks can miss equivalent language or award points to weak content.
  • /llms.txt is treated as a low-weight convenience signal, not a ranking factor.
  • Passing a check means a signal exists; it does not mean the content is accurate or persuasive.
  • High-stakes medical, legal, or financial claims require qualified review beyond this clarity audit.

Nostalgai pricing

Free scanner (16 deterministic checks, no signup, no API key, results not intentionally stored). Paid Fix Pack is $149 founding price: one public English-language site up to 10 pages, three-business-day turnaround; deliverables are an audience-question and page-gap map, three publish-ready answer blocks, one supported JSON-LD bundle, and a prioritized implementation plan. Implementation help and multi-site work quoted separately.

  • Scanner

    Free (ongoing)

    • Sixteen deterministic checks
    • Results in roughly ten seconds
    • Inspectable evidence behind every line
    • No signup, no API keys, nothing stored

  • Fix Pack (founding offer)

    $149 / one-time

    • Audience-question and page-gap map
    • Three publish-ready answer blocks
    • Corrected responsible-entity and offer JSON-LD
    • Prioritized before/after plan

See current pricing on nostalgai.us ↗Compare Nostalgai alternatives →

Frequently asked questions

Does running the Nostalgai scanner guarantee that ChatGPT or another AI will cite my site?
No. The scanner scores public, observable inputs — clarity, evidence, structured identity, access, and decision-support content. The vendor is explicit that no tool can honestly promise a third-party model will cite a site, and the method makes no prediction about future citations.
What kinds of sites does Nostalgai review?
Public English-language sites for products, services, organizations, projects, independent experts, and established local businesses — anywhere there is enough real substance to inspect. High-stakes medical, legal, or financial claims are out of scope and require qualified review beyond this clarity audit.
What do I actually receive from a Fix Pack?
An audience-question and page-gap map, three publish-ready answer blocks, one supported JSON-LD bundle for the responsible entity and relevant offer or work, and a prioritized implementation plan with acceptance tests tied to before evidence. Each recommendation cites the page evidence that led to it, so the team doing the work can see why each change is being made.
Do you need access to my website to run the scanner or deliver a Fix Pack?
No. The scanner fetches the public homepage on demand. The Fix Pack is delivered as a set of changes your team can publish; implementation help is quoted separately if needed.
Is AEO the same as SEO?
Answer Engine Optimization overlaps with good technical and content SEO, but the Fix Pack does not include backlink building, keyword tracking, or ongoing content production. It is a one-time implementation package focused on identity, access, evidence, and decision support.

Nostalgai alternatives

  • Canonry

    Free self-hosted AEO tool with MCP and Aero — also publishes a public method and makes no citation guarantee.

  • AthenaHQ

    AI visibility and content optimization platform with a public methodology and ongoing monitoring.

  • Rankability

    AI content optimization platform focused on entity and topical completeness for answer engines.

  • Knowatoa

    AI search analytics that audits how a brand surfaces inside multiple AI answer engines.

  • Compare the whole category

    Every tool in GEO & content optimization, side by side on the same fields.

Visit NostalgaiOpens the vendor's own siteCompare NostalgaiSide by side with the categorySee alternativesOther options worth weighing

Anything to add?

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The evidence

Facts re-verified

Our published price still appears on Nostalgai's own pricing page. Last checked . 2 daily checks since 2026-08-26

How we checked this

Filed under GEO & content optimization rather than AI visibility monitoring — the scanner scores observable inputs on a single page; it does not monitor, track, or predict citations. The vendor is explicit about the limit, and we have called it out in the verdict and con list so readers know what they are buying.

Tags

Content optimization

What changed, and what we read (2 updates)

  1. Faq itemsProsWebsite

    Read nostalgai.us (vendor_scanner_page), nostalgai.us (vendor_methodology), nostalgai.us (vendor_pricing), citedindex.com (third_party_editorial)

  2. API availabilityAPI noteAlternativesBest forConsFaq itemsFree trial daysHow it worksKey featuresLimitationsNameNot forPricingProsTaglineUse casesVerdictWhat isWhat it doesWho forWhy use

Advertise

Reach buyers mid-decision. Put your brand in front of them — sponsor slots are open to any advertiser (see the content policy); listed tools can go Featured at the top of their category.

Featured — top of your category →Sponsor this page →

Advertise

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