Free ECHO Index check
When buyers ask AI for a recommendation, is it your name?
Enter your domain. We ask the six engines your buyers use — and show you, in about 30 seconds, whether they name you or a competitor.
Every number we show links to its source · open 50/30/20 scoring · no signup, no card
The blind spot
Your site looks fine to Google — and invisible to the AI your buyers ask first.
Search engines crawl your pages and rank links. Language models don't browse — they compress the web into tokens and answer from memory. If your brand isn't encoded as a clear, citable entity, you're not in the answer. You're not even in the running.
That's the gap an ECHO audit measures: not how you rank, but whether the model can name you at all — and whether it trusts your own domain enough to cite it.
Your report
This is what comes back.
One ECHO score, then the receipts: which engines named you, which cited your domain, and the raw answer behind every row.
Sample — your real score in about 30 seconds
The numbers
Buyers are moving into the answer box. Most brands aren't in it.
No hype — every figure below comes from an independent source and links to it. Check each one.
Click-through when an AI summary appears in search, versus when it doesn't. Half the clicks vanish into the answer box.
Pew Research Center, 2025Projected fall in traditional search volume by 2026 as people move to AI answer engines.
Gartner, 2024Higher conversion from ChatGPT visitors than from non-branded organic search.
Visibility Labs, 2026Of all web pages already ship Schema.org JSON-LD — the structured data AI reads first. Most of your category already does. Do you?
HTTP Archive Web Almanac, 2024We don't repeat the “5–10× conversion” claim you'll see on competitor sites. Peer-reviewed data (Kaiser & Schulze, Marketing Science) actually contradicts it for e-commerce. We'd rather show you the real, smaller, honest numbers — and let you verify them.
The pressure
Your competitors are already the answer.
AI search doesn't return ten blue links. It names two or three brands and drops the rest. And the lead compounds: the brand AI cites gets the clicks, the mentions, and the signals that make it cited even more next time.
“Best CRM for a small team”
Ask ChatGPT and you get the same three or four names every time. If you're on the list, you get the buyer. If you're not, they never learn you exist.
“Which print shop in my city?”
Local AI answers already name two or three businesses. The niche isn't waiting for you to catch up.
“What [your category] should I use?”
Every category is converging on a short list of AI-cited names — and that list gets harder to break into the longer it sets. The cheap time to get on it is before it hardens.
Illustrative examples — these are not our clients. The point is the mechanic: AI search names a few and ignores the rest.
Coverage
Six engines. Including the two your competitors ignore.
Every audit fans out to all of them in parallel — Western and Russian. One prompt × one model = one row in your result matrix.
- 01
ChatGPT
OpenAI · GPT-5
EN / RU
- 02
Claude
Anthropic · Opus / Haiku
EN / RU
- 03
Gemini
Google · 2.5
EN / RU
- 04
Perplexity
Sonar Pro
EN
- 05
GigaChat
Sber
RU
- 06
YandexGPT
Yandex Cloud
RU
GigaChat, YandexGPT and Alice answer millions of Russian-speaking buyers every day. Most AI-visibility tools don't touch them. We treat them as first-class.
Methodology
One number. Open math.
ECHO blends three signals every brand needs from AI search. The weighting is fixed, public, and the same for everyone — no black box.
Citation
How often the LLM actually names your brand in its answer. Zero mentions = zero ECHO no matter what else you do.
Sentiment
Whether the mention is positive, neutral, or negative. Being known and hated isn't a win.
Authority
Whether the LLM cites your own domain as a source. If yes — you control the narrative.
What you get
The free check shows the gap. The paid audit closes it.
The paid audit hands you ready-to-paste files that give the model what it needs to name you and cite your domain — no writing required.
llms.txt
A plain-text manifest that tells AI crawlers what your site is and what to cite. An emerging best practice and a low-cost hedge — no downside to shipping it early.
Schema.org JSON-LD
The structured data 41% of the web already ships. It tells the model exactly who you are, what you offer, and how to cite you.
MCP manifest
A .well-known/mcp.json file that lets AI agents talk to your site directly — so you're reachable when buyers shop through an assistant, not just a search box.
AI-magnetic articles
Articles built the way models extract facts — dense, clearly attributed, and structured so the LLM lifts your name and your source, not a competitor's.
Measurement is free today. The artifacts above ship with the paid audit (Phase 2).
Check it yourself
Don't take our word for it. Ask the AI.
Want to spot-check by hand? Edit the prompt and fire it at one model. Our audit runs this across six engines at once and scores the result — but don't take our word for it.
FAQ
Questions, answered straight.
What is the ECHO Index?
ECHO is a single 0–100 score for how visible your brand is to AI. It blends how often the major LLMs cite you (50%), the sentiment of those mentions (30%), and whether they cite your own domain as a source (20%).
Which AI engines do you check?
Six, in parallel on every audit: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, GigaChat (Sber) and YandexGPT. Most Western tools skip the Russian engines; we treat them as first-class.
Is the free audit really free — and do I need to sign up?
Yes, it's free, and no. No account, no email, no credit card. Paste a domain and you get an ECHO score plus a per-engine breakdown in about 30 seconds.
Does AI traffic actually convert better?
Honestly, the picture is early and mixed, and we won't quote the inflated “5–10×” numbers some vendors do. Independent data shows AI summaries cut search click-through roughly in half (Pew Research Center, 2025), and one vendor study found ChatGPT visitors convert about 31% better than non-branded organic — on small but high-intent volume (Visibility Labs, 2026). A peer-reviewed study even found ChatGPT converts worse than organic for some e-commerce (Kaiser & Schulze, Marketing Science). The takeaway isn't a magic multiplier — it's that the channel is real, growing, and most brands are invisible in it.
Isn't this just SEO?
No. SEO optimizes how you rank among links. This optimizes whether an AI can name you at all and trusts your domain enough to cite it. Different mechanic, different signals — entities and structured data, not backlinks and keywords — and increasingly, different traffic.
What is llms.txt, and do AI models actually read it?
llms.txt is a proposed plain-text manifest (like robots.txt, but for AI) that describes your site for language models. Be clear-eyed: it's an emerging community proposal, and major AI vendors have said they don't consume it yet. We ship it as a low-cost hedge, not a magic switch — the heavy lifting is Schema.org and entity-clear content.
Do you cover Russian-language engines?
Yes — GigaChat, YandexGPT and Alice are first-class. Half our target market sells to Russian-speaking buyers, and those engines answer millions of them daily. Most AI-visibility tools ignore them entirely.
What do I actually get?
The free check gives you your ECHO score, a per-engine breakdown, and the raw LLM responses so you can see exactly what each model said. The paid audit (Phase 2) ships the fixes: llms.txt, Schema.org JSON-LD, an MCP manifest, and AI-magnetic content — ready to paste into your site.
In 30 seconds, find out if AI is sending your buyers to a competitor.
No email, no card, nothing to install — just your domain. Worst case, you confirm you're already winning. Best case, you find the gap before your competitor closes it.