More buying research now ends in one AI-written answer from ChatGPT, Perplexity or Google, with no list of links. We make your site a source those answers quote, built on real SEO, not vapour.
Review in 48 hours · Covers classic SEO and AI visibility together
PixelCrayons' AI SEO service makes your content findable, parsable and citable by AI engines: ChatGPT, Perplexity, Gemini and Google's AI Overviews. It runs as one practice with three lanes: AEO (answer engines that cite sources), GEO (generative engines that synthesise answers) and AI Overviews (the AI layer above Google's results). The work is concrete: structured data, answer-first content architecture, entity cleanup, crawler access. It compounds with classic SEO rather than replacing it. Direct for brands, white-label for agencies.
Outcomes tied to real engagements, not averages.
Schema coverage (the structured data that tells engines what a page is) across your money pages: Organization, Service, FAQ, Article, Product where it applies, validated, not just present. Engines cite what they can parse without guessing; markup is how you stop making them guess.
Every important page restructured so its core answer is quotable in isolation: a direct-answer block up top, question-form headings, tables where a table is the right format. The same structure that wins featured snippets is what AI models lift into answers.
Who you are, what you do, where you operate: stated consistently across your site, your profiles and the databases engines actually read. Ambiguous entities get paraphrased into competitors' answers; clear ones get named.
GPTBot, ClaudeBot, PerplexityBot and Google-Extended checked against your robots rules, CDN settings and firewall. Many sites block AI crawlers by accident and wonder why they're invisible. We verify access before optimising anything.
AI-referral traffic where analytics can see it, citation spot-checks on your money queries across the major engines, and classic rank tracking beside them, reported together, with the measurement gaps named rather than papered over. This field is young. Anyone promising precise 'AI share of voice' is selling confidence, not data.
It's the name the market landed on for a real shift. Here's what it is, and what it isn't.
If an agency pitches LLM SEO as separate from your SEO, a second retainer on a parallel roadmap, you are being sold the same work twice, or something imaginary once. LLM SEO (being found, understood and cited by large language models) is the newest label for the work this page describes. The shift is real: when a buyer asks ChatGPT or Gemini to recommend a platform, the model composes one answer from sources it trusts, and absence from it is invisible in a way page-two rankings never were.
There is no secret channel into a model's training data, no submission form, no meta tag. What moves citation is unglamorous: content direct enough to quote, markup that removes ambiguity about who is speaking, an entity footprint consistent enough to trust, and crawler access so the retrieval layer can reach you. That is LLM SEO. We fold it into one programme because that is what it is.
Where you stand today: citation spot-checks on your money queries across ChatGPT, Perplexity and AI Overviews, crawler-access verification, schema and entity review, plus your classic rankings, because the two are one picture.
A prioritised roadmap: what blocks citation today, what compounds fastest, itemised and priced within 48 hours of the audit call. You approve the plan before anything ships.
Crawler access fixed, schema coverage on money pages, direct-answer blocks on the pages buyers actually ask about. The unglamorous work that everything else depends on goes first.
Answer-first content on a calendar, entity work across your footprint, and weekly reporting that shows citations observed, AI-referral traffic where measurable, and classic rankings beside them.
Your search programme runs in a Prism workspace you log into: the fix queue, the content queue, approvals and the weekly review, with each decision written down as it is made.
Approvals with an owner and a due date.
Each decision written down as it is made.
What we did and what happened, side by side.
Topical authority plus AEO architecture (schema, answer-first content, entity cleanup) took a UK SaaS brand from absent to cited in AI Overviews on the queries its sales team actually cares about. The same build lifted classic organic traffic alongside, because the fundamentals are shared.
Three organic lanes, one paid: AEO for engines that cite sources, GEO for engines that synthesise answers, AI Overviews for Google's layer, and AI Platform Ads wherever a platform sells ad space. Not sure which lane? The audit below says.
The work that makes your content findable, parsable and citable by AI engines: structured data, answer-first content architecture, entity clarity and crawler access, layered onto classic SEO fundamentals. We run our AI search optimization services as one practice with three lanes: AEO for answer engines like ChatGPT and Perplexity, GEO for generative engines, and AI Overviews for Google's AI layer. Each lane has its own page here if you want the specifics.
It's an extension, not a replacement. Engines cite sources they can crawl, parse and trust, which is what SEO has always built. What changes is the output format: instead of ranking in a list, you're competing to be the source an engine quotes. That rewards direct answers, unambiguous markup and entity consistency more heavily than the classic version did. A site with weak fundamentals can't be 'AI optimised' on top. A site with strong ones is most of the way there. The audit shows the overlap in one table: each finding is marked classic, AI or both, so you can see how much of the AI work your existing SEO already covers before paying for any of it.
No, and treat anyone who says yes as a red flag. Nobody outside these companies controls what their models cite, and the engines change retrieval behaviour without notice. What we commit to contractually is the work that makes citation likely (access, structure, entities, quotable answers), plus measurement of where you're actually appearing, with the gaps named. That's the same rule we apply to rankings, where we refuse guarantees too.
Three ways, each with its limits named. AI-referral traffic in analytics is real but undercounted: many AI answers send no click at all. Structured citation spot-checks on your priority queries across the major engines are observable but a sample, not a census. Classic rankings beside them are still the best proxy for the authority engines draw on. Weekly reports show all three. What we won't do is invent an 'AI visibility score' with false precision.
The visibility audit takes two days, the priced plan lands within 48 hours of the audit call, and the first fixes (crawler access, schema on money pages) ship within 14 days of a signed NDA. Content and entity work build from there on a monthly cycle.
Yes, 30+ countries and counting, with overlap hours and a named project manager wherever you are. The practice is fully available to India-based companies as well: we're headquartered in Noida.
Yes, the whole practice ships under partner agencies' brands: your reporting templates, your client calls, our delivery. NDA-backed, with a contractual commitment never to approach your clients and a 12-month post-engagement blackout. It's also one of the most-requested additions from partners whose clients are asking about AI visibility before the agency has hired for it.
The audit checks what the engines can crawl, parse and cite today: classic SEO and AI visibility in one pass, priced within 48 hours. If the honest answer is that your fundamentals need work first, the audit says that too.
Review in 48 hours · No retainer required · NDA standard
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