Beta · SEO for the age of AI buyers

Turn marketing into machine-readable facts. Be the product AI agents trust and recommend.

Buyers now ask ChatGPT, Claude and Gemini “what should I buy?” SiteSense audits your site the way an AI agent does — then scores and fixes how well assistants can discover, explain, compare, trust and buy your product.

Join the beta — be first to scan your site at launch. No credit card.

SiteSense dashboard for a scanned site: AI buyer readiness score 90 out of 100 with 484 pages, 3 runs and 0 fixes; a Recommendation Engine fix backlog with a Generate Fixes button; score breakdown showing Factual Accuracy 100, Completeness 100 and Citations 0; a Trace Viewer buyer question ‘Is this a game website?’ scored 90, with the buyer answer and failure modes.

A Genfinish product · in beta

SiteSense is built on the Genfinish platform — the same foundation behind Cognaxa.

Multi-tenant by default

The same hardened, row-level tenancy that runs Cognaxa.

One trust boundary

Shared security architecture and audit log across products.

Built for B2B SaaS

Tuned for how AI assistants evaluate software vendors.

Your next buyer isn’t on Google.
It’s an agent answering for them.

When an assistant can’t cleanly read your pricing, integrations, security and use cases, it recommends the competitor it could understand. SiteSense shows you exactly where that happens — and how to fix it.

Marketing fog → structured facts Invisible → discoverable “Talk to sales” → buyable
🧑

“Best CRM for real-estate brokers under $500/month?”

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“Compare X vs Y for SOC 2-compliant fintech teams.”

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“Which helpdesk supports Slack, SSO and Indian billing?”

✦

SiteSense simulates these journeys against your site and tells you whether the agent picks you.

How it works

From your domain to a ranked fix list

One pipeline that thinks like an AI buyer — not a search crawler.

SiteSense processing pipeline mid-run: Discovering URLs & Parsing Sitemap completed, Extracting Pricing & Security Facts found 92 fact sets, Running AI Buyer RAG Simulations at 0 of 3, Compiling llms.txt Payload queued, with a technical activity log below.
A live scan: every public page discovered, facts extracted, buyer simulations running.
1

Crawl & render

Reads your site like an AI browser would — sitemap, JS pages, schema, Open Graph, pricing, docs, FAQs. Flags blocked or unreadable pages.

2

Extract facts

Turns messy pages into structured facts: features, plans, pricing, integrations, compliance, ICP, limitations, trial & refund flow.

3

Knowledge graph

Normalizes everything into Products, Plans, Features, Integrations, Use cases and Compliance claims — each with evidence sources.

4

Simulate buyers

Runs real buyer journeys: “best tool for a 50-person support team”, “can I buy without sales?”, “you vs Competitor X”. Captures what the agent answers.

5

Score readiness

A score out of 100 across seven dimensions, benchmarked against the competitors you name.

6

Fix & ship

Specific fixes, content briefs and dev snippets — schema, comparison pages, pricing FAQs, llms.txt. Export reports or open PRs.

Readiness score

Seven things every AI buyer checks

Each dimension is measured from your live site and graded against your category and competitors.

SiteSense AI visibility score card for a scanned Shopify store: 24 out of 100 on a circular gauge, persona and model breakdown, and tiles showing 33 pages, 5 runs, 6 fixes and 0 citations.
The result: one score out of 100, plus the pages, runs, fixes and citations behind it.
🔎

Discoverability

Can an agent find the right pages — pricing, docs, integrations, security?

💬

Answerability

Can it answer real buyer questions straight from your site?

⚖️

Comparability

Are features, pricing and use cases clear enough to compare?

🛡️

Trust

Security, reviews, customers, policies and evidence — all visible?

🧩

Structured data

Schema, metadata, product markup and docs quality.

🛒

Transaction readiness

Can an agent start a trial, book a demo, or buy?

🕒

Freshness

Are pages outdated, or conflicting with each other?

📈

Weekly monitoring

Track your score and competitor gaps as your site changes.

Inside the product

Everything you need to close the gap

A few screens from the dashboard — real captures from the beta, alongside illustrative mockups for screens still in progress.

AI Buyer Simulator

Watch the agent reason about you

Every simulation shows whether the agent understood your product, whether it chose you, which facts were missing, and where a competitor looked stronger.

  • ✓ The verdict the agent gives a buyer
  • ✓ Missing facts that cost you the pick
  • ✓ The exact page that confused it
Simulation · “Best helpdesk for a 50-person SaaS team”
Best helpdesk for a 50-person SaaS support team that needs Slack + SSO?
I’d shortlist Helpdesk.io and Competitor X. Both do Slack + SSO… Competitor X lists a clear team tier; Helpdesk.io’s pricing for SSO wasn’t found.
OutcomeNot chosen

Missing: SSO pricing, team-tier seat limits. Confused by: /pricing vs /faq mismatch.

Recommendations

Specific fixes, ranked by impact

Not “improve your SEO.” Real tasks, ranked by severity, with the exact pages involved — plus generated content briefs and dev snippets your engineering team can paste in.

  • ✓Add Product / SoftwareApplication schema
  • ✓Fill the content gaps that made the agent answer wrong
  • ✓Generate llms.txt product summary
A HIGH-severity schema_addition recommendation: add structured data to product pages to improve relevance for a wall paintings query, with the affected store URLs and a ready-to-paste JSON-LD Product snippet under ‘Code Fix for Developer’.
HIGH · schema addition — the JSON-LD snippet a developer drops into the product template.
A MEDIUM-severity content-gap recommendation: add custom painting information to product pages because the AI buyer could not answer ‘Can I print my own custom paintings here?’, with affected URLs and a Markdown section to add.
MEDIUM · content gap — the Markdown that answers the question the AI buyer couldn’t.
Competitor comparison

Know exactly where you lose the pick

Side-by-side readiness against the competitors you name — so you can close the specific gaps that flip an agent’s recommendation.

YouCompetitor X
Pricing clarity6182
Integrations8870
Security / SOC 27952
Buy without sales4090
Biggest swing: enable self-serve trial → projected +11 on the “buy without sales” journey.
Capabilities

More than a score

Product knowledge graph

Normalized facts with evidence sources, so agents get clarity instead of marketing fog.

20 buyer simulations

Real journeys across pricing, integrations, security and competitor comparisons.

llms.txt generator

A machine-readable product summary agents can read in a single request.

Content briefs

Ready-to-write briefs for comparison pages, pricing FAQs and integration pages.

Developer snippets

Drop-in schema and metadata, plus exportable reports and PRs.

Weekly monitoring

Re-scans on a schedule and alerts you when a competitor pulls ahead.

Find out what AI says about you.

SiteSense is in beta. Join the early-access list and we’ll onboard you with a guided readiness audit the moment your scan is ready.

No spam. We’ll send your readiness score and one fix to start with.