AI search
Voice search optimization, minus the recycled advice
Voice assistants read out one answer, usually sourced from the same passages that win featured snippets. So voice optimisation is mostly answer-engine optimisation plus local accuracy: conversational headings, short factual answers, and consistent business information wherever it appears.
How voice results are actually chosen
A voice assistant has no room for ten results. It reads one, and it takes it from a small set of sources: a featured snippet or equivalent extracted passage, a knowledge graph entry, or a local business record. Winning any of those wins the voice answer as a side effect.
This is why almost every genuine voice-SEO tactic is a rebadged AEO or local-SEO tactic. That is not a criticism — it is the reason the work is worth doing, because it pays off in three channels at once.
What genuinely helps
- Question-shaped headings that match spoken phrasing — "how much does X cost", not "X pricing"
- A short, complete answer immediately under the heading, readable aloud in one breath
- Plain sentence structure: assistants read punctuation badly, and nested clauses become mush
- Accurate, identical business details everywhere — name, address, phone, hours
- Fast pages, because assistants abandon slow sources rather than waiting
- FAQ content that uses the words people say, not the words a brochure uses
speakable markup: ship it, expect nothing today
The speakable property marks the parts of a page suitable for text-to-speech. Google’s documentation limits its rich result to news publishers in specific locales, so a small business site should not expect a feature from it.
It is still worth including, for a different reason: the CSS selectors are an explicit statement of which passage on the page is the answer. That is a useful instruction to any extraction system, and it costs three lines of JSON-LD.
"speakable": {
"@type": "SpeakableSpecification",
"cssSelector": ["h1", ".speakable-answer"]
}The myths worth dropping
- "Voice is 50% of all searches"
- A projection from 2016 that never materialised and gets re-quoted annually with no source. Voice is real and it is a minority of queries.
- "Optimise for long-tail conversational keywords"
- Half-true and usually misapplied. Spoken queries are longer, but stuffing a page with "hey google how do I" phrasing helps nothing. Write real questions and answer them.
- "Voice needs its own content strategy"
- It does not. It needs the same clear, factual, well-structured content, plus accurate local data if you serve a location.
If you serve a physical area
For local queries the assistant answers from business records rather than web pages, so accuracy in those records is the whole job: consistent name, address and phone across every listing, correct opening hours including exceptions, and a category that matches what people actually ask for.
For a service-area business without a shopfront, declare the service area rather than an address, and keep the same name and phone number everywhere. Inconsistency across records is the most common reason a local voice answer names a competitor instead.
Questions people ask about this
- Does voice search need separate pages?
- No. Separate voice pages duplicate content and compete with the originals. Improve the pages you have with clearer questions and shorter answers.
- How do I know if I am winning voice answers?
- There is no report for it. The workable proxy is tracking featured snippets and extracted answers for your target questions, since those are what assistants read from.
- Is speakable markup worth adding?
- Yes, at three lines of JSON-LD, as long as you expect no visible Google feature from it. Its value is telling any extractor which passage is the answer.
Who wrote this
Anas Bin Masud builds e-commerce sites and does technical SEO for businesses in the UK, Canada and Pakistan — fifteen live client sites, six of them stores taking real payments. The examples in these guides come from those builds and from the audit that rebuilt this site, not from a content brief. More about how I work, or read the case studies.