AI search myths
7 questions
Myth: SEO is dead now that AI answers everything.
No. AI engines build their answers from crawled, indexed pages. The technical health that makes you rank is what makes you citable, so SEO is the base the AI answers stand on. Is SEO still worth it?.
Myth: AEO is just SEO with a new name.
Partly. Both depend on the same technical work, but AEO aims at a passage an engine quotes as the answer, not a position you click through to. That changes how you write and how you measure. Read the AEO hub.
Myth: if I rank on page one, AI will mention me.
No. Buyers increasingly act on one AI answer with two or three citations. If you are not in those citations you are not in the consideration set, whatever your ranking says. See AEO.
Myth: longer content gets cited more.
No. Engines lift short, self-contained answers. A question heading followed by a 40 to 75-word answer is easier to quote than the same answer buried in a long paragraph. Answer-first structure.
Myth: repeating keywords helps AI pick you.
No. Pages that state clear facts, figures and sources are the ones engines quote. Stuffing a page with keywords makes it harder to quote, not easier. How to get cited.
Myth: you cannot measure AI visibility.
No. You can track how often AI answers cite you for your priority questions, how often they name you against competitors, and the visits and enquiries that arrive from AI answers. Measuring AI visibility.
Myth: an agency can guarantee you will appear in ChatGPT.
No. AI answers are probabilistic and change often, so nobody can guarantee a citation. What can be controlled is how easy your pages are to quote, and the movement can be measured prompt by prompt.
Accord reports citation frequency, share against competitors and AI referral enquiries, so you see movement rather than a promise.
Book a free 30-minute call →AI automation myths
5 questions
Myth: AI automation will replace my team.
No. It takes the repetitive work off your team. People stay in the loop wherever judgement is needed, and approval steps pause the system for sign-off on risky or uncertain actions. See AI Automation.
Myth: AI pilots fail because the models are not good enough.
Rarely. Most pilots stall between demo and production because nobody scoped them, tested them or connected them properly to the systems they need. Those are engineering problems, and they are solvable.
Myth: a custom build locks you into the agency that built it.
Not with Accord. You own the code, prompt designs, evaluation sets and configuration, with full handover and no licence fee afterwards. Any team can run or change it.
Ownership is written into every engagement, so the system stays yours whoever maintains it.
Book a free 30-minute call →Myth: AI projects are billed by the hour and always overrun.
Not here. Every Accord engagement is fixed-price and tied to milestones, with the scope agreed in writing before work starts. Ask Us about pricing.
Myth: you need a big data team before you can use AI.
No. Many useful automations run on documents and tools you already have. A discovery sprint checks what your data can support before anything is built, so you are not asked to prepare a data warehouse first. See Strategy and Discovery.