AI answer accuracy
ChatGPT wrong information about my company: what to do
Fix wrong AI answers about your brand by tracing each claim to its source, correcting the authoritative record and monitoring the answer separately.
Insights
What we learn measuring agent readiness across the index: which blocks cost the most answers, which markup actually gets quoted, and what changes when a model rather than a person is the reader.
AI answer accuracy
Fix wrong AI answers about your brand by tracing each claim to its source, correcting the authoritative record and monitoring the answer separately.
Digital PR
Digital PR for AI search earns useful, verifiable third-party references through evidence-led outreach, without paid-link schemes or fake reviews.
AI share of voice
AI share of voice is only meaningful when teams define what counts as an answer, a mention and a competitor appearance within a stable question sample.
Content for AI search
Writing content for AI search means answering the reader's question directly, preserving evidence and context, and making every passage useful when read on its own.
AI visibility tools
Choose AI visibility tools by testing their sampling method, model coverage, prompt ownership, citation definitions, data controls and export quality.
AI visibility tools
The best tools to track brand mentions in ChatGPT, Gemini, Grok and Perplexity: entry prices, free plans, engines, and how to pick one in an afternoon.
ChatGPT SEO
Find out if ChatGPT, Gemini and Grok recommend your company: a 30-minute manual test, a scoring sheet, and how to automate it daily.
AI visibility tools
Looking for affordable alternatives to Profound and Peec AI? Compare self-serve AI visibility tools with published prices, engines and trade-offs.
Agentic commerce
Compare ACP, UCP and AP2 by who maintains them, which commerce stage they address and what a merchant can verify on its own site.
Entity SEO
Entity SEO is the work of keeping an organization's identity and public facts consistent across its site and profiles, without promising inclusion in any knowledge base.
E-E-A-T
E-E-A-T is Google's quality framework, not a standalone ranking factor; use its Who, How and Why questions to make evidence and responsibility visible.
Zero-click search
Zero-click search changes how a brand earns value: be useful and accurately represented in the result, while measuring visits as a separate outcome.
Schema markup
Schema markup for AI search should describe visible facts accurately; it can clarify page meaning, but it cannot force an answer engine to cite or recommend a page.
GA4
Track AI traffic in GA4 by separating tagged visits from answer visibility, Search Console reporting, Bing citations and requests visible in server logs.
AI search engines
Compare AI search engines by their documented access paths, source displays and measurement tools, not by unsupported popularity rankings or a universal score.
Gemini SEO
Gemini SEO depends on which surface a person uses, what its documentation says about grounding and which crawler controls actually govern Google Search.
Perplexity SEO
Perplexity SEO starts with two different crawler roles, a page that can be fetched safely and source material that answers the question with current evidence.
ChatGPT shopping
ChatGPT shopping can surface product information from public sources and merchant data, so merchants should make offers accurate, comparable and easy to fulfill.
ChatGPT search
ChatGPT search can rewrite a question, consult search providers and show source links, but its published mechanics do not expose a complete selection formula.
AI search
AI search ranking factors are often discussed as if one formula governs every answer, but public evidence supports narrower, product-specific conclusions.
LLM SEO
LLM SEO is the work of making a brand and its pages easier to identify, retrieve and evaluate without pretending every answer comes from live search.
AI SEO
AI SEO is the work of making a site eligible, understandable and useful across search experiences that retrieve, summarize or act on web information.
ChatGPT
A 90-second walkthrough: check what AI says about a shop, find the questions shoppers ask, measure who wins, and get the fix handed over inside ChatGPT.
AI agent readiness
A practical model for making a site discoverable, readable, attributable and usable by assistants, grounded in six measurable dimensions rather than a new set of SEO tricks.
launch
Qomvia launched on Product Hunt and is now listed on Sell With Boost. What we launched and where to find us.
AI SEO checklist
A practical 40-check audit across access, rendering, extraction, identity, freshness, discovery, agent protocols and off-site evidence, with a way to verify each result.
agentic commerce
A merchant's guide to product data, discovery, payment intent and protocol choices, with practical readiness steps for Shopify, WooCommerce and Shopware stores.
AEO
A practical taxonomy for answer engine optimization, generative engine optimization and search engine optimization, with a shared operating model for modern discovery.
AI visibility
A measurement plan for question sets, models, markets, citations and variance, with clear definitions for the metrics that turn scattered answers into a decision.
Bing SEO
A precise guide to Bing Webmaster Tools, IndexNow and Microsoft's documented web grounding, with a careful boundary between Bing infrastructure and claims about other assistants.
DNS-AID
Well-known files only work once an agent is already talking to your server. Two newer efforts move discovery earlier, into DNS and into searchable registries. What they are and how far along they are.
Agent Skills
Two young formats give agents more than text: Skills are folders of instructions an agent can load, WebMCP turns page forms and functions into callable tools. What each is for and how to publish them.
ChatGPT SEO
A practical guide to the difference between memory and search, the OpenAI bots that control different tasks, and the page-level gates a source must clear before it can be quoted.
Web Bot Auth
User-agent strings can be forged and IP lists go stale. Web Bot Auth lets an agent sign each request with a key you can verify. What it is, what you can do about it today, and what Qomvia looks for.
OAuth
An agent that hits a 401 needs to know what to do next. Two RFCs and one Markdown convention give it a machine-readable answer instead of a login page it cannot use.
Qomvia
A feed is how a monitoring agent notices you changed. An oEmbed endpoint is how another surface renders you with the credit attached.
API catalog
Agents find APIs the way they find everything else: by probing a well-known path. RFC 9727 defines that path and the linkset format that goes in it. Publishing one takes an afternoon.
AI Overviews
What Google has officially said about AI search eligibility, query fan-out, snippets and measurement, plus the controls site owners can use without chasing invented ranking tricks.
MCP
Building an MCP server is half the job. The other half is a small JSON document at a well-known path so a tool-calling assistant can find the server without a human pasting a URL.
Qomvia
Disallowing GPTBot does not protect the content that is already public. It removes the site from the surface where the buying question now gets asked.
Link header
An agent should not have to parse your HTML to find your API, your llms.txt or your MCP server. An RFC 8288 Link header on the HTTP response tells it in one line.
Content Signals
robots.txt can only say who may fetch. Content Signals add what they may do with it afterwards: search, AI input, AI training. One line, three switches, and a legal reservation of rights.
agent readiness
Four questions decide whether an assistant can use a website: can it fetch it, read it, trust it and act on it. Everything in the rubric hangs off one of them.
markdown
An agent that sends Accept: text/markdown is asking for your page without the HTML. Answering costs you a few lines of config and saves the agent most of its tokens.
sitemap
An agent platform that wants to know what you publish reads one file. If that file is missing, undeclared or stale, it learns your site by luck, and luck skips most pages.
llms.txt
llms.txt is a reading list for models, not a second sitemap. The format has four parts, the useful file fits on one screen, and the most common mistake is dumping every URL you own into it.
ChatGPT SEO
A diagnostic for the evidence behind AI recommendations, separating live retrieval from learned associations and turning an uncomfortable answer into a 60-day recovery plan.
hreflang
An assistant answering in German needs to know which of your pages is the German one. Two attributes tell it. Most multilingual sites set neither correctly.
freshness
Answer engines prefer sources they can date. A page with no machine-readable date loses time-sensitive questions to a competitor that carries one, even when yours is newer.
metadata
When an answer engine credits a source, it needs a label and an address. The title is the label, the canonical URL is the address. Get either wrong and the credit goes astray.
headings
Answer engines do not read pages, they read passages. Headings decide where a passage begins and what context it keeps. Bad headings produce quotes that mean something else.
HTML
Before a model reads your page, an extractor throws most of it away. Landmarks tell it what to keep. Without them, the answer quotes your cookie banner.
paywall
An agent has no email address, no card and no patience for a registration form. Anything behind one does not exist to it. What to leave public so the site is still quotable.
security.txt
When an agent operator needs to reach you, or a platform needs to know whether it may act on your site, both look for a file at a fixed address. Most sites have neither. Both take fifteen minutes.
rendering
An AI agent fetching your page reads the HTML the server sends. If that HTML is a script tag and an empty div, the agent reads nothing, and no amount of good content fixes it.
GEO
What GEO means, what the original research tested, where it overlaps with SEO, and how to run a disciplined 90-day program without confusing a benchmark with a promise.
bot management
Challenge pages, JavaScript checks and 403s are what an AI agent sees on many well-run sites. How to let declared agents through without opening the door to scrapers.
performance
An agent does not wait for your page to paint. It waits for bytes, then parses them. Two numbers decide whether it gives up, and neither is the Core Web Vitals score you already track.
AI crawlers
Every AI platform runs three different robots against your site. Knowing which is which is the difference between opting out of training and opting out of being an answer.
robots.txt
The nine user agents that decide whether ChatGPT, Claude, Perplexity and Gemini can read your site, what each one controls, and a robots.txt that allows answers without allowing training.
structured data
A model that has read about your brand on ten sites still has to decide whether your domain is that brand. One block of structured data on the homepage settles it.
GEO
An assistant can mention your brand from memory, or link your page as its source. Only one of these sends a visitor. Here is what separates them and which signals move each.