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Product 11

Traffic Recon & Capture

Find out what ChatGPT, Claude and Perplexity say when someone asks about your category, then publish the pages that make them cite you.

For content-led businesses who can see search changing and have no instrument pointed at it.

Request a live demoRunning daily against live properties

The problem

A growing share of buying research now happens inside AI assistants, and traditional SEO tooling cannot see any of it. Rank trackers report a position on a results page nobody visited. Nothing tells you whether an assistant recommended you, recommended a competitor, or invented an answer that mentioned neither.

The second problem is structural. In most teams, adding a new traffic target means a ticket for a developer, so the content calendar queues behind an engineering backlog and the opportunity closes before the page ships.

The team that delivers it

Market Research Lead
Search Insights Researcher
Search Insights Researcher
AI Search Visibility Analyst
AI Search Visibility Analyst
Demand Prioritisation Strategist
Demand Prioritisation Strategist
Frontend & SEO Engineer
Frontend & SEO Engineer
Content Marketer
Content Marketer

What it does

Eleven agents run the pipeline, with a strict line between content work and code work.

The Query Hunter builds the question set real buyers ask. The AI Retrieval Scout puts those questions to ChatGPT, Claude and Perplexity on a schedule and records who gets cited, in what terms, and with which source. The Intent and Prioritisation Strategist ranks the gaps by commercial value rather than by volume. The Marketing Content Creator produces the pages that answer them.

The Frontend and SEO Engineer owns the code side once: schema markup, sitemap logic, llms.txt and the citation-tracking instrumentation. After that, adding a target is a content job. The Recon Lead runs the cycle and reports what moved.

Shipped and running daily across the Nigel Casey properties, producing the citation tracking and content targets behind this site's organic growth.

The strategy it enables

You stop guessing at generative search and start measuring it, on the same cadence you measure classical rankings. And because targets are added by writers rather than by developers, the pipeline runs at the speed of the content calendar instead of the engineering sprint.

Who it is for

  • Content-led businesses chasing organic trafficWho are already publishing and want the targets chosen by evidence rather than instinct.
  • B2B SaaS competing on category keywordsWho need to know whether assistants name them when a buyer asks the category question.
  • Businesses paying an SEO agencyWhose retainer produces more reporting than published pages.

Pricing

Self-serve

CHF 790 / month

  • Citation tracking across ChatGPT, Claude and Perplexity
  • Weekly query set refresh
  • Prioritised content target list
Start here

Annual licence

CHF 7,900 / year

  • Full pipeline on your infrastructure
  • Your own model API keys
  • Custom assistant coverage
Start here

This product was built to capture organic and AI-assistant traffic for the Nigel Casey properties and is configured to your category, your competitive set and your CMS during onboarding. The architecture is sector-agnostic: only the query set and the target list change.

Technical documentarchitecture, integrations, setup

How citation tracking works

  • A versioned query set is generated from your category, your competitors and real buyer language
  • Each query is put to the assistants on a schedule through their APIs, with the run timestamped
  • Responses are parsed for brand mentions, named sources and linked citations
  • Results are stored per run, so movement over time is visible rather than a single snapshot
  • Assistants are non-deterministic, so each query runs repeatedly and results are reported as a citation rate rather than a yes or no

Agent layer

  • Recon Lead: cycle orchestration and reporting
  • Query Hunter: query set construction and refresh
  • AI Retrieval Scout: assistant querying, parsing, citation extraction
  • Intent and Prioritisation Strategist: commercial ranking of the gaps
  • Frontend and SEO Engineer: schema, sitemap, llms.txt, instrumentation
  • Marketing Content Creator: the pages that close the gaps

Classical search coverage

  • Google Search Console integration for impressions, clicks and position
  • Schema markup generation per page type
  • Sitemap and llms.txt maintenance
  • Internal linking recommendations from the target map

CMS compatibility

  • Next.js, Astro and other static sites via Git commit
  • WordPress via REST API
  • Webflow CMS, Ghost, Contentful, Sanity
  • Custom CMS via webhook

Reporting

  • Citation dashboard: per query, per assistant, per competitor, over time
  • Content target list ranked by commercial value with a brief per target
  • Cycle report covering what shipped, what moved and what is queued

Setup timeline

  • Week 1: category and competitor mapping, first query set, baseline citation run
  • Week 2: CMS integration, schema and llms.txt implementation, first target list