A weekly publication

Get your clients cited as a source by the AI answer engines.

Answer Engine Weekly is a publication for marketing agencies on GEO and AEO — how brands show up inside ChatGPT, Perplexity, Google AI Overviews and Claude. Real experiments, real data, before-and-after screenshots. Proof, not hype.

The Weekly

One issue a week. A real experiment, the data, what it means.

One issue a week. A real AEO experiment, the raw data, and what it means for your agency. No fluff, no guru theatre.

No spam. Unsubscribe anytime. We send one email a week.

One issue a week•Built for agencies & freelancers•Edited by Clark Tota

What this publication is for

The crowded part of GEO is the guru content. The valuable part is the work that can be proven. We do the second one.

Answer Engine Weekly exists to teach marketing agencies a real, measurable discipline: making client brands show up in AI answers — and packaging that into a sellable service. Every issue is a documented experiment, not a thought-leadership thread.

Signal vs. Noise

The GEO space is drowning in recycled advice. We separate the tactics that actually change AI answers from the ones that just sound good in a thread.

Entity Authority

AI answer engines reason about entities, not keywords. We show how to build a recognizable, consistently-named entity for your clients.

The Off-Page Authority Triangle

Reviews, PR, and third-party mentions form the triangle that LLMs trust. We measure how each side moves citation frequency.

Proof, Not Hype

Every claim ships with a before/after prompt test and a screenshot. If we cannot show the answer changing, we do not publish it.

The Latest

Recent experiments & field notes

All articles →

Editorial illustration of three differently spelled domain chips converging into a single glowing entity node, in a cool Nordic palette

Method/11 min read

Do Exact-Match Domains Still Work? A Field Study in Entity Resolution from Danish Local Lead Generation

Exact-match domains were supposed to be dead. So why does a Copenhagen lead-gen SERP still reward them — and why does a domain spelled 'kobenhavn' rank for searches typed 'københavn'? A field study using live Semrush volumes, the real Copenhagen SERP, and one site's Search Console data shows what actually carries the boost in 2026: not the literal string, but the entity the engine resolves it to. The lesson generalises straight to answer engines.

May 31, 2026

Editorial illustration of a small core directing a structured fleet of specialised AI agents, with cheap deterministic checks feeding a few expensive intelligence nodes

Technical/12 min read

The Agent Fleet Operating Manual: How a Small Team Runs a Business on AI Agents Without Drowning in Them

The operating discipline behind running a business on a fleet of AI agents: treat every manual action as a bug, build an agent-and-app pair only as a last resort, separate the expert-on-call agent from the always-on worker, gate expensive intelligence behind cheap heuristics, and delete as aggressively as you create. Includes the real incident — a 20-number outbound channel suspended overnight — that forced a dedicated risk agent into existence.

May 29, 2026

Editorial illustration of a legal AI assistant grounding its answers in verifiable case-law and statute fragments retrieved from a structured database

Technical/16 min read

Building a Grounded Legal AI Assistant: A Worked Case Study in RAG, Hybrid Search, and EU Data Sovereignty

A documented build for the Italian legal vertical fattura-avvocato.it: the RAG architecture that kills hallucinations, the hybrid Postgres search that handles both 'Art. 1218 c.c.' and 'contractual liability for supplier breach', the monthly cost math against the €1,000/year incumbents, and the compliance constraints that disqualify a US-hosted model.

May 26, 2026

Editorial illustration of Texas-shaped solar panels feeding data into AI answer-engine nodes, in black, white and teal

Agency Playbook/14 min read

GEO for Solar Companies: How Texas Installers Get Recommended by AI Instead of Buying Recycled Leads

A worked vertical case study: Generative Engine Optimization applied end-to-end to one of the hardest US lead-gen markets — Texas residential and commercial solar. The methodology, not the hype.

May 19, 2026

Conceptual before-and-after comparison of two AI-generated answers

Method/10 min read

Before/After Prompt Experiments: How We Test AEO

Our entire editorial method in one article: how to design a prompt experiment that proves an AEO change actually moved an AI answer.

May 15, 2026

Abstract image of signal being lost in visual noise

Opinion/7 min read

The GEO Guru Saturation Risk

The GEO space is filling with guru noise faster than with practitioners. Here is how an honest agency stays credible in a saturated market.

May 13, 2026

Conceptual funnel of AI-generated answers converting into business leads

Agency Playbook/9 min read

AI Lead Generation for Marketing Agencies

AI answer engines are becoming a referral channel. Here is how an agency turns AEO work into an inbound lead source — for clients and for itself.

May 11, 2026

Conceptual dashboard tracking AI citation metrics over time

Method/9 min read

Measuring AI Citations: A Reporting Framework

If you cannot measure citations, you cannot sell AEO. Here is a reporting framework an agency can run every month.

May 9, 2026

Conceptual rendering of a chat interface attributing an answer to sources

Platform Tactics/10 min read

How to Get Your Agency Cited by ChatGPT

ChatGPT's search mode cites a specific set of source types. Here is what they are, and how to earn a place among them.

May 8, 2026

Browse all 19 articles

Topics we cover

MethodTechnicalAgency PlaybookFundamentalsPlatform TacticsOff-PageOpinionContent

The Editor

Clark Tota

Clark Tota runs Answer Engine Weekly and a GEO/AEO consulting practice. He spends his weeks running prompt experiments against ChatGPT, Perplexity, Google AI Overviews and Claude — measuring which sources get cited and why — then writing up what actually moved the needle.