How to Choose an AIO Vendor
Tomohiro Iida · Published July 2, 2026 · Updated July 7, 2026
Services offering 'AIO' (AI search visibility and optimization) or 'AI search optimization' have multiplied quickly, and the underlying demand — wanting a business to actually be findable when people search using AI — is real. But what different vendors actually deliver varies enormously, and some sell tactics with thin justification at high prices. For a buyer, the difficulty is that the terminology is unfamiliar and there's no settled way to measure results, which makes it hard to tell a credible vendor from an unconvincing one. This article lays out 12 questions to ask before committing to a vendor, each covering why it matters, how to ask it, and an example of a red-flag answer. The questions are grounded in Google's own official guidance, updated in June 2026, which states plainly that optimizing for generative AI search is essentially SEO itself, and that several AI-specific tactics some vendors sell as essential are, in Google's own words, unnecessary.
Key takeaways
- Vendors offering AIO / AI search optimization services vary enormously in quality, and the field's unfamiliar terminology and lack of a settled way to measure results make it hard to tell good vendors from unconvincing ones.
- Google's own official guidance states that optimization for generative AI search is essentially SEO itself, and explicitly calls several AI-specific tactics — such as an llms.txt file, chunking content for AI, AI-specific schema markup, and rewriting every page as answer-first — unnecessary.
- Before signing, check whether a vendor's claims are consistent with Google's official guidance, whether their AI-visibility observations are reproducible, whether they implement fixes (not just diagnose), and whether they avoid promising guaranteed placement. Inclusion and rankings can never be guaranteed.
The kinds of companies that offer this work
- SEO companies and consultants: have experience with search visibility, and the groundwork for AI search overlaps with SEO, so their existing expertise is useful. How thoroughly they observe AI search itself varies by firm.
- Web development and production companies: strong on implementation — technical structure and rendering fixes — but content strategy and AI-visibility observation are sometimes outside their scope.
- Firms marketing themselves as AIO / GEO specialists: a newer category built specifically around AI search. Fine if their methodology is genuinely established, but be cautious of firms selling only the novelty of the term.
- Add-on services from advertising or PR agencies: offered as an extension of an existing relationship; depth of expertise varies by firm.
The 12 questions to ask before you sign
- Does it contradict Google's guidance? Google's official guide calls optimizing for generative AI search essentially SEO, and states that llms.txt, content chunking, AI-only schema, and rewriting everything as answer-first are unnecessary. Red flag: 'llms.txt is essential' or 'you must rewrite every article as answer-first.'
- Does it imply Google certification? No confirmed public program lets Google certify AI-search vendors. Red flag: 'a Google-certified AIO method,' with no verifiable program behind it.
- Do they distinguish API from the consumer product? ChatGPT and similar tools behave differently via API versus the consumer app. Red flag: unable to say which they tested.
- Can they show a sample size? A single AI response proves nothing statistically. Red flag: 'we asked once and you came up,' backed only by a screenshot.
- Do they repeat the same query? AI answers vary even for identical questions, so repeated testing is basic to credible measurement. Red flag: 'it showed up once, so you're fine.'
- Will they disclose their query set? Cherry-picked questions can manufacture a good-looking result. Red flag: 'that's proprietary, we can't share it.'
- Is their method documented? Sample size, repetition, query set, and conditions should exist as a document a third party could reproduce. Red flag: 'staff just check it case by case,' with nothing written down.
- Does a human verify AI output? AI can state plausible-sounding falsehoods. Red flag: AI-generated summaries delivered with no human review.
- Do they cross-check against Search Console and GA4? AI-visibility observation alone is one-sided; real referral traffic shows up in a business's own analytics. Red flag: claiming 'it's working' from AI screenshots alone, with no real data cited.
- Do they implement, or only flag issues? Pointing out a problem changes nothing by itself. Red flag: an expensive engagement that delivers only a report, with implementation billed separately.
- Do they promise guaranteed AI placement? No outside vendor can guarantee how any AI service behaves — it varies by model, region, and time. Red flag: 'we guarantee ChatGPT will show you within a month' or 'we guarantee the top AI search spot.'
- Are IP ownership and data handling clear? Confirm deliverables belong to the client, and where client data is stored and sent. Red flag: a contract where rights stay with the vendor, or no explanation of data storage and third-party transmission.
Common failure patterns
- Paying for the novelty of the term: buying into 'AIO' or 'GEO' merely because the word is new, when the actual work — installing llms.txt, adding AI-only schema — is exactly what Google's own guidance calls unnecessary. New terminology and genuinely new necessary work are two different things.
- Mistaking a single screenshot for a result: treating "we asked an AI and your company came up" as proof of success and moving into an ongoing contract on that basis. AI answers vary, so one result does not represent ongoing status.