AEO makes your content the source inside AI-generated answers (ChatGPT, Gemini, Perplexity, and Google’s AI Overviews). Traditional SEO focuses on ranking web pages while AEO focuses on being cited or summarized correctly by AI systems.

GEO is the content and technical strategy that increases your chances of being referenced in generative answers. As users shift from clicking 10 results to asking one question, the model becomes the gatekeeper. If you’re not in its short list of sources, you’re invisible at the decision moment.

Why it matters now:

• Attention compression: AI condenses many sources into one answer.
• First-mover advantage: Once models consistently cite you, that authority compounds.
• Cross-channel lift: GEO often strengthens traditional SEO (better structure, clearer expertise) and improves voice/assistant answers.

• Behavior has already shifted. Prospects are asking AI tools for shortlists, comparisons, and local providers today.
• Models learn from momentum. The sooner we earn clean citations and consistent entity signals, the more likely models continue surfacing you.
• Defensive value. If competitors become the default “named sources,” dislodging them later takes longer and costs more.
• Compounding ops. AEO-ready content (FAQs, comparisons, how-tos) powers sales enablement, email, and paid, so your whole funnel benefits sooner.

Magnetic North makes your site and brand AI-ready with a repeatable system:

• Question architecture: Map real buyer prompts to pages and put concise answers up top with proof (data, SME quotes, examples).
• Entity building: Clarify “who/what/where” across your site and major profiles. Align names, bios, services, locations, and IDs models use.
• Evidence & mentions: Publish first-party data, case proof, and earn reputable third-party mentions that models recognize.
• Technical hygiene: Fast, crawlable pages; canonical discipline; internal linking that reinforces topical authority.
• Model testing & iteration: Maintain a prompt bank, probe engines on priority queries, then close gaps with content and schema updates.

We report beyond rankings:

• AI citation frequency: How often engines reference or paraphrase your content.
• Share of AI voice: Your visibility vs. named competitors across a tracked prompt set.
• Accuracy & sentiment: Whether the model states your offerings, pricing, and differentiators correctly and positively.
• Coverage depth: Percentage of high-intent questions where you’re cited or recommended.
• Journey impact: Changes in assisted conversions, lead quality, demo bookings, and win rates tied to AEO content.
• Quality of inclusion: Linked vs. unlinked mentions; featured excerpts vs. generic summaries.

Ongoing. Models update, competitors publish, and your offerings evolve. We treat AEO like SEO, with roadmaps and iteration:

• Quarterly: Topic expansion, entity strengthening, schema refresh, prompt set updates, misquote remediation.
• Monthly: Content releases, internal link refinements, log/report reviews, and AI visibility deltas.
• Always-on: Monitoring priority prompts and key product/service facts for drift or inaccuracies.

• Authoritative “entity homes”: Definitive pages for company, services, people, and policies with crisp, quotable facts.
• Consistent facts everywhere: Synchronize site copy with GBP/LinkedIn/industry profiles to reduce conflicting signals.
• Schema + FAQs: Encode the canonical answer (hours, pricing models, processes) in structured data and visible Q&A.
• Model auditing: Routine prompt checks to spot hallucinations early; update content or add clarifiers where confusion occurs.
• Reputation signals: Acquire credible third-party mentions/reviews that reinforce the correct narrative.
• Documentation cadence: Publish changelogs/what’s new posts so models see fresh, trusted updates.

We combine AI visibility platforms with our own testing:

• AI visibility suites: Tools such as Profound, Peec, and Gauge to monitor citations, compare competitors, and trend share-of-AI-voice.
• Prompt testing harness: A standardized prompt set and logging process to snapshot answers across engines and track changes.
• Analytics stack: Tie AEO content to engagement and pipeline (G4, CRM) to attribute business impact, not just mentions.
• Schema/tech checks: Validators and crawlers to keep structured data clean and discoverable.

Timelines vary by domain authority, content maturity, and competition, but a practical range:

• 2–6 weeks: Early signs—first mentions on narrower prompts; improved accuracy for branded queries.
• 6–12 weeks: Consistent inclusion on priority question clusters; visibility across multiple engines.
• 3–6 months: Broader coverage, stronger authority signals, and measurable funnel impact (qualified inquiries, assist conversions).

  Acceleration levers: authoritative content, clean entities, credible third-party mentions, and tight iteration cycles.

• Strategy first, channel-agnostic. We recommend SEO, PPC, AEO/GEO, or a hybrid based on impact—not a prepackaged service.
• Web + marketing under one roof. Design/dev, content, analytics, and media work together so AEO/SEO improvements actually ship.
• AI-ready execution. We write for people and machines: clear answers, structured data, and entity-aware content that models can trust.
• Radical transparency. Shared prompt sets, visibility dashboards, and business-level reporting (pipeline impact, not vanity metrics).
• Continuous improvement. Quarterly roadmaps, monthly releases, and regular model audits keep you ahead as algorithms and behavior shift.
• Midwest partner mindset. Practical, collaborative, and outcome-driven—our job is to make your next marketing decision obvious.