Your customers are asking assistants the questions they used to type into Google. Codexlava makes your site reachable, readable and accurate, so that whatever is answering them gets your facts right.
We are developers, not a reporting dashboard: every finding comes with the fix, and we can ship it ourselves.
The labels overlap more than agencies admit. Accurate structured data and plainly stated facts serve all of them at once, which is why we do not sell them separately.
The unglamorous layer that decides everything above it. A site that canonicalises every page to its homepage is telling Google not to index those pages at all, and no amount of content fixes that.
Answer-first writing and FAQ markup, so a direct answer or AI Overview can draw from one plainly stated passage.
Crawler access, llms.txt, content in the raw HTML and one consistent set of facts the models can trust.
Your customers’ questions asked across the major assistants, answers recorded word for word, repeated over time.
Share cards that make links travel, profiles tied to the site in schema, and listings that match character for character.
Usually in ways that take an afternoon to fix — and that no amount of new content will fix while they are broken.
Whether search and AI crawlers can reach you at all. Plenty of sites block GPTBot, ClaudeBot or PerplexityBot by accident through a blanket rule or a security plugin.
Whether your pages are telling Google to index them, or quietly pointing at the homepage instead.
Whether the content is in the raw HTML, or only appears after JavaScript runs and most crawlers have already left.
Whether your phone number, address and hours agree across your site, Companies House and every directory. Three numbers means an assistant picks one.
A search used to end in a list of links. Increasingly it ends in an answer, and the only thing that reaches the customer is whatever source the model chose to quote.
UK figures: Ofcom, Online Nation 2025 (December 2025). US figure: Pew Research Center, browsing data from 900 adults (March 2025). Market context, not Codexlava results.
Three names for three places a customer finds you. The work behind them overlaps more than the labels suggest.
| SEOSearch engine | AEOAnswer engine | GEOGenerative engine | |
|---|---|---|---|
| Goal | Rank in the list of results | Be the quoted answer | Be readable and citable by AI models |
| Where it shows | Search results page | Featured snippets, People Also Ask, voice | ChatGPT, Claude, Perplexity, Gemini, AI Overviews |
| Key tactics | Technical health, on-page, content, internal links, local | Answer-first writing, FAQ schema, concise passages | Crawler access, llms.txt, entity clarity, structured data, off-site consistency |
| How it is measured | Positions, impressions, clicks | Snippet and People Also Ask ownership | Mentions and citations, sampled by asking; no ranking exists |
There is no sensible way to price the work before seeing what is wrong. Some sites need one afternoon of fixes; some need content written every month.
And the questions your customers ask before they buy. That is the whole brief.
Crawler access, indexation, canonicals, rendering, structured data, speed and fact consistency across the web.
Your customers’ questions, in several phrasings, across the major assistants. Every answer recorded word for word: whether you appeared, who did instead, and which sources were cited.
Ranked by impact and effort, with ready-to-paste robots.txt, llms.txt, JSON-LD and rewritten titles. Yours whether or not you carry on with us.
Re-run on the same queries so the direction is comparable. Search and AI both move slowly; this is the first point a difference is worth looking for.
There are no client results on this page yet, and we will not invent any. What you can check instead is this website: everything on the list was done here, and two of the files are one click away.
If you are in the second column, we will say so on the first call rather than sell you something you do not need.
You approve each stage before the next one starts, and you own everything you paid for.
The ones that matter, ordered by impact and by the effort each takes.
robots.txt, llms.txt, JSON-LD blocks and rewritten titles, not just advice.
What each assistant said about you, word for word, and which sources it cited.
An explicit list, and why, so nothing is implied that was not tested.
The same queries re-run, so the direction is comparable.
What makes ChatGPT, Gemini or Claude mention a business - crawler access, readable pages, consistent facts - and what nobody can promise.
What llms.txt is, who proposed it, what it does and does not do for search and AI assistants, and whether it is worth publishing.
Send us your domain. We will tell you what search engines and assistants can and cannot see, what they are getting wrong about you, and what is worth fixing first.
One call, no obligation. We will tell you what the work involves, roughly what it costs, and whether we are the right people to do it.