Technographic & Traffic Teardown
Tech-stack archeology, WHOIS history, 24-month traffic trajectory, same-stack cohort, and historical SERP rank for any named domain.
The Technographic & Traffic Teardown is a structural-signal read on one named domain. It captures the tech stack a target runs, the WHOIS and domain-history archeology, a 24-month traffic trajectory at monthly resolution, the same-stack cohort of peer domains running the same primary technologies, and the historical SERP rank trajectory for your named keyword set or for the target’s top-100 ranked keywords.
Available standalone at $2,499 or layered onto a Commercial Diligence Brief at $999 per domain analyzed — target and/or each peer benchmark. The Counter-Signal Pass is included as standard.
Built for competitive intelligence teams at B2B SaaS, dev-tool, and infrastructure companies; sales engineers and sales-operations leads; product strategists evaluating a category leader; and PE/VC/hedge-fund/M&A diligence buyers who want technographic context attached to their commercial diligence.
What’s actually running under their hood, when did they switch to it, and where is their traffic actually coming from?
What buyers actually ask.
How is the tech stack detected?
Detection runs against an industry-standard signature library covering CMS, analytics, payments, frameworks, CDN, hosting, ad tech, and marketing automation. Each detected technology carries a confidence score so the buyer can weigh ambiguous signals appropriately. Custom or recently-released technologies may be missed and are flagged explicitly rather than papered over.
How far back does WHOIS go?
Registration date and registrar history are pulled where available. Privacy services — Cloudflare proxy, Domains By Proxy, GoDaddy WHOIS Privacy, and similar — mask historical WHOIS. We flag privacy-masked records explicitly rather than treating them as missing data. For most B2B targets we recover usable signals on registration timing and brand-rebrand history; for privacy-heavy targets we surface what is recoverable and label the gaps.
Is the 24-month traffic trajectory observed or modeled?
Modeled. Historical traffic estimates are produced from search-visibility and ranked-keyword data combined with industry click-through models. The trajectory shape is useful and citable; the absolute monthly numbers are not. Findings are tagged on this distinction explicitly in the report.
What does the same-stack cohort actually tell me?
The cohort is the set of other domains running the same primary technologies as the target, ranked by domain authority. It surfaces direct technographic competitors, potential acquisition targets, and tech-vendor partner ecosystems. The cohort is upper-bounded at 100 domains per technology of interest to control cost; beyond that we route to custom scope.
How does the Commercial Diligence add-on path work?
On the Commercial Diligence Brief (SKU 11) intake form, an optional add-on lets you layer this teardown onto the target and/or each peer benchmark at $999 per domain analyzed. Add-on engagements ship bundled with the parent diligence and inherit its Counter-Signal Pass. Bundled delivery adds 3–5 business days to the parent turnaround.
Why is rank trajectory part of this rather than a Citation product?
Historical SERP rank trajectory in this product is a structural signal about the domain — when the domain gained or lost organic ground over a 24-to-48-month window. The Citation Displacement Brief and Citation Drift Atlas operate on a different surface: AI engine citations, not classic SERP. Different signal, different decision input.
Will this work for international domains?
Tech detection and WHOIS work across international TLDs. Traffic modelling is strongest for English-language and major-market traffic; signal quality degrades on small non-English markets and is flagged in the report. Same-stack cohort works globally because it operates on signatures rather than language.
The deliverable, in detail.
- Current tech-stack inventory across CMS, analytics, payments, frameworks, CDN, hosting, ad tech, and marketing automation. Each detected technology carries a confidence score; signature-library coverage and detection caveats are documented inline.
- WHOIS and domain-history archeology — registration date, registrar history where available, expiry posture, ownership signals. Surfaces acquisition timing, brand-rebrand history, and domain-portfolio reads. Privacy-masked records are flagged explicitly.
- Historical traffic trajectory across at least 24 months with monthly resolution. Organic traffic estimates, ranking-visibility trajectory, and category-performance breakdown for the same window. Trajectory shape is the analytical signal; absolute numbers are treated as directional.
- Same-stack cohort analysis — domains running the same primary technologies, cross-referenced and ranked by domain authority. Surfaces direct technographic competitors, potential acquisition targets, and tech-vendor partner ecosystems. Capped at 100 domains per technology.
- Historical SERP rank trajectory for your named keyword set against the target. If no keyword list is supplied at intake, we run the target’s top-100 ranked keywords as the universe. The trajectory table runs over the same 24-month window as the traffic trajectory for cross-referencing.
How the report is built.
The teardown runs against one anchor domain supplied at intake, with four parallel data pulls. Tech-stack detection covers CMS, analytics, payments, frameworks, CDN, hosting, ad tech, and marketing automation, plus a WHOIS overview pass that surfaces registration date, registrar history, expiry posture, and ownership signals where the registrar discloses them.
A historical-traffic pull runs in parallel: 24-month traffic trajectory at monthly resolution, ranking-visibility trajectory, and category-performance breakdown. Windows of 12, 36, and 48 months are available at intake without scope change.
A same-stack cohort pull runs for each strategically relevant technology in the detected stack: the cohort of other domains using that technology is retrieved and ranked by domain authority. Cohorts are upper-bounded at 100 domains per technology of interest to control cost; above that we route to custom scope.
Historical SERP rank trajectory is the final analytical stage. The buyer-supplied keyword list runs first; if no keyword list is supplied, we use the target’s top-100 ranked keywords as the keyword universe. The rank-trajectory table reports keyword-by-keyword movement over the same 24-month window as the traffic trajectory so the two reads can be cross-referenced.
A senior analyst reviews the joined dataset before drafting. The Counter-Signal Pass is included on every report — the strongest opposing case to the structural read the report names is documented before drafting closes.
Counter-Signal Pass is included on every report. The full Foragentis methodology is documented in The State of AEO and GEO in 2026.
What this report does NOT do.
Procurement-grade reports scope themselves. The work below is adjacent and important — and is not in this SKU.
Tech detection is heuristic and uses an industry-standard signature library. Custom or recently-released technologies may be missed; we flag detection confidence per signature and surface gaps explicitly rather than papering them over.
WHOIS data is registrar-disclosed. Privacy services mask historical WHOIS for many targets; we flag privacy-masked records explicitly. We do not break privacy attestations.
Historical traffic estimates are model-driven, not observed traffic. The trajectory shape is useful and citable; absolute monthly numbers are not.
We do not include conversion-rate analysis, A/B-test history, or on-domain analytics. Those would require seller-side access we do not have.
We do not call AI engine probing endpoints on the target. Technographic surface is structural, not AI-citation-driven. If you need an AI-citation read, Citation Displacement Brief or Citation Drift Atlas is the right product.
Same-stack cohort is upper-bounded at 100 domains per technology of interest to control cost. Cohorts beyond that route to custom scope.
What the engagement costs.
The Counter-Signal Pass — every thesis stress-tested against its strongest opposing case — is included on every report at no extra cost. See the Counter-Signal block on the catalog hub →
Methodology preview on request.
A redacted public sample for this SKU is in production. To preview the methodology now, email forintel@foragentis.com and we will send the methodology one-pager. The published methodology white paper — The State of AEO and GEO in 2026 — covers the underlying analytical framework.
Adjacent reports.
About Foragentis.
Foragentis is an AI research and product company based in Sacramento, California. ForIntel is the business-intelligence research arm — producing custom dossiers across four buyer lanes: Search & AI Visibility, Markets & Locations, Capital & Innovation, and Specialty.
Every claim in a ForIntel report traces to a public source. Findings are re-verified before delivery. The Adversary/Analyst architecture pairs a senior analyst with a counter-signal pass on every thesis. Anything below our statistical thresholds is labeled directional rather than validated.
Methodology is documented in The State of AEO and GEO in 2026 — a 9,900-word, 42-page public study with effect-size statistics across four frontier AI engines.
Ready to commission the report?
Intake takes under five minutes. We confirm scope, timeline, and cost within one business day.