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Generative Engine Optimisation

  1. Home
  2. Archive by category : "Generative Engine Optimisation"
GEO services pricing models 2026 comparison cover for AiBoost
Generative Engine Optimisation
  • June 29, 2026
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GEO Services Pricing in 2026: 3 Models Compared, from Retainer to Outcome-Based

Retainer, project and outcome-based pricing each suit a different GEO engagement. Here is how the three models work, what they cost to run, and when each one fits.

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AEO versus GEO 2026 distinction explainer cover for AiBoost
Generative Engine Optimisation
  • June 26, 2026
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AEO vs GEO: The 2026 Distinction, the Convergence, and Why Agencies Still Mis-Sell It

Answer engine optimisation and generative engine optimisation began as different disciplines and have converged. Here is the real distinction in 2026 and how to spot a mis-sell.

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Perplexity versus ChatGPT source preference playbooks cover for AiBoost
Ai Tools
  • June 24, 2026
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Perplexity vs ChatGPT: Why They Cite Different Sources, and 2 Publishing Playbooks

Perplexity leans on primary and news sources; ChatGPT leans on Wikipedia and reference sites. Here is what the published data shows and two publishing playbooks that follow from it.

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AI visibility audit methodology framework cover for AiBoost
Generative Engine Optimisation
  • June 22, 2026
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The AI Visibility Audit Methodology: A 10-Step Framework Any Agency Can Copy

A repeatable 10-step method for auditing how visible a site is across ChatGPT, Perplexity and Gemini, with a query template, a scoring rubric and a worked scorecard.

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AI SEO consultant case-file proof template cover for AiBoost
Generative Engine Optimisation
  • June 19, 2026
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The AI SEO Consultant Case-File Template: 6 Proof Points Every Credible Report Must Show

Most AI SEO case studies prove nothing. This template sets out the six proof points a credible case file must contain, from baseline data to an attribution method.

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AiBoost cover image: How to Rank in ChatGPT, A 2026 Guide
AI and Tech Shift
  • June 18, 2026
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How to Rank in ChatGPT: A 2026 Guide

Ranking in ChatGPT means being cited inside its answers, not holding a link. Here are the seven proven GEO tactics that lift AI citations, with the research.

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Evidence-based ChatGPT search optimisation playbook cover for AiBoost
Ai Tools
  • June 17, 2026
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Optimising for ChatGPT Search: 12 Evidence-Based Tactics Ranked by Citation Lift

Most ChatGPT SEO advice treats every tactic as equal. This playbook ranks 12 tactics by the effect size each one showed in a published study or controlled test.

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Knowledge-graph entity-gap audit framework cover for AiBoost
Generative Engine Optimisation
  • June 15, 2026
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The Knowledge-Graph Entity-Gap Audit: A 7-Step Method to Find What AI Engines Cannot See

AI engines reason over entities, not keywords. This 7-step audit compares your content to a Wikidata or Google Knowledge Graph snapshot to find the entities you are missing.

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Generative SEO test design framework cover for AiBoost
Generative Engine Optimisation
  • June 12, 2026
  • 0 Comments
Generative SEO Test Design: A 6-Step Framework to A/B Test AI Citations Without False Positives

AI citation rates swing day to day, so naive before-and-after tests mislead. Here is a 6-step statistical framework for sample size, control groups and significance.

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Title card for an AiBoost 10-page UK micro-experiment ranking on-page changes by 4-week citation rate lift.
Case Studies
  • June 8, 2026
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10 On-Page Changes Ranked by Citation Lift: A 4-Week UK Micro-Experiment

We took 10 UK pages, applied one isolated change each, and measured citation rate after 4 weeks. Direct-answer block lifted +19pp; meta-description rewrites produced 0pp. Full ranked list with implementation time.

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