Does AI recommend you, or your competitor?
Buyers ask ChatGPT, Claude, Gemini and Perplexity who to choose. MentionLM scans every answer engine, shows exactly where AI names a rival instead of you, and hands you the fixes and recommendations to win the answer back.
A real buyer question. Watch AI name everyone but you.
Why now
Search moved into the chat box.
Your buyers don’t scroll ten blue links any more. They ask an AI assistant who to choose and act on the names that come back. Answer Engine Optimization is the work of becoming one of those names. The shift is already here:
people now use ChatGPT every week, many of them asking it what to buy.
OpenAI, via TechCrunch · Feb 2026
of visits where Google shows an AI summary end in a click to a website, down from 15% without one. The clicks SEO won are vanishing.
Pew Research Center · 2025
of B2B buyers used AI tools during a recent purchase, and 67% now prefer buying without a sales rep.
Gartner · 2025
growth in US retail traffic from generative-AI sources in a single year, the fastest-rising channel there is.
Adobe Analytics · Feb 2025 vs Jul 2024
Everyone else hands you a score. We hand you the fixes.
Almost every AI-visibility tool is a dashboard. Teams pay $30–$490 a month, watch the number sit flat for six months, and cancel. The work that actually earns AI citations (answer-first content, schema, and the pages buyers’ questions resolve to) is work most tools leave you to figure out alone, or lock behind a demo and an enterprise contract. MentionLM hands it over: a tailored action plan and the ready-to-paste assets to act on, self-serve.
Monitor-only tools
- Report that you're invisible, and stop there
- Hand you vague, generic advice
- No tailored plan or ready-to-paste assets, so you start from scratch
- Dashboard stays flat → you churn
MentionLM
- Tracks exactly where AI names a rival instead of you
- Hands you a tailored AEO action plan, sized to your brand, naming the queries you're losing
- Backs it with ready-to-paste assets: the right pages for your brand (buying guides or comparison pages), schema & llms.txt
- Keeps monitoring, and re-scans to show the score move
How it works
Invisible to recommended, on a loop.
Scan
Enter your brand and what you sell. MentionLM runs hundreds of real buyer queries across ChatGPT, Claude, Gemini and Perplexity, the way a customer actually asks.
See the gap
A visibility score, the competitors AI recommends instead of you, the exact queries you're absent from, and the pipeline value those answers are worth.
Get the plan + fixes
A prioritised plan naming the exact queries and rivals you're losing, plus the paste-ready assets to win them back: schema, llms.txt and a one-paste setup prompt. Then it re-scans to show the lift.
See the gap
This is the report. Not a screenshot, the real thing.
Run a free scan and you get this in about ten seconds: your visibility score, the rivals AI names instead of you, the exact questions you’re losing, and the verbatim answer a buyer sees.
AI Visibility Score
Named in 3 of 10 buyer questions.
Estimated pipeline at risk
A modelled estimate of demand going to rivals while you’re absent. The visibility data above is real and measured.
By engine, mention rate
Who AI recommends
What AI says when a buyer asks
For a B2B startup, the standouts are HubSpot for its generous free tier, Salesforce when you need deep customisation, and Pipedrive for a simple, sales-first pipeline. Most early teams begin with HubSpot.
Sources behind the answer
Then fix it
Every other tool stops at the score. That’s where we start.
From the same scan, MentionLM writes the plan and the assets, prioritised, in plain English, and paste-ready. No blank page, no agency retainer.
Your action plan
prioritised by impact1. Publish a guide: the best CRM for B2B startups
ChatGPT, Gemini and Perplexity all answer “best CRM for a B2B startup” with HubSpot and Pipedrive, never you. A clear, dated guide that answers that exact question, with a comparison buyers can scan, is what wins the spot back.
2. Add structured data so AI can read your facts
AI is building its answer from G2 and Reddit, not your site. FAQ + Organization schema states your pricing, integrations and ideal customer in a format these engines extract directly.
3. Let AI crawlers reach your site
If GPTBot and PerplexityBot can’t crawl you, none of the above gets read. A clean sitemap, an AI-allowing robots.txt and an llms.txt point them at the pages that answer buyer questions.
A page to publish
Each one wins back a query you’re losing.
The best CRM for B2B startups (2026 guide)
Wins back “best CRM for a B2B startup” · beats HubSpot
- ·A one-line answer to the exact question, up top
- ·A spec table buyers can scan, pricing, free tier, integrations
- ·An honest “when HubSpot is still the better pick”
- ·Real setup time for an early sales team
Ready to paste
missingGenerated for you, no blank page.
# Your Brand > The CRM built for B2B startups, fast setup, founder-friendly pricing, and the integrations early sales teams actually use. ## Start here - [Best CRM for B2B startups (2026 guide)](https://yourbrand.com/guides/best-crm-for-b2b-startups): an honest, dated comparison of the leading options and where each one wins. - [Pricing](https://yourbrand.com/pricing): plans, the free tier, and exactly what's included. ## Comparisons - [Your Brand vs HubSpot for early-stage teams](https://yourbrand.com/compare/best-crm-for-b2b-startups): when each is the right call. ## Trust - [Customer stories](https://yourbrand.com/customers): outcomes from startups now scaling on Your Brand.
Plus schema.org JSON-LD, generated the same way.
One-paste setup prompt
do it for meDon’t want to wire it up by hand? Paste this into Cursor or Claude Code and it scaffolds every page, the schema and the llms.txt above, in your own codebase.
# AEO setup for Your Brand (yourbrand.com)
You're working in Your Brand's website codebase. Implement the Answer Engine Optimization (AEO) fixes below so AI assistants (ChatGPT, Claude, Gemini, Perplexity) start recommending Your Brand. Match the existing stack, routing and visual style. Keep every claim factual, don't invent products, prices, ratings or pages that aren't specified here.
## Pages to create
1. **The best CRM for B2B startups (2026 guide)**
- Goal: win back the buyer question "best CRM for a B2B startup" (AI currently answers it with HubSpot).
- Sections to include:
- A one-line answer to the exact question, up top
- A spec table buyers can scan, pricing, free tier, integrations
- An honest “when HubSpot is still the better pick”
- Real setup time for an early sales team
## Structured data
Add this schema.org JSON-LD to the homepage `<head>` (no structured data found):
```html
<script type="application/ld+json">
{ "@context": "https://schema.org", "@type": "Organization", "name": "Your Brand", "url": "https://yourbrand.com" }
</script>
```
## llms.txt
Create `/llms.txt` at the site root with exactly this content:
```
# Your Brand
> The CRM built for B2B startups, fast setup, founder-friendly pricing, and the integrations early sales teams actually use.
## Start here
- [Best CRM for B2B startups (2026 guide)](https://yourbrand.com/guides/best-crm-for-b2b-startups): an honest, dated comparison of the leading options and where each one wins.
- [Pricing](https://yourbrand.com/pricing): plans, the free tier, and exactly what's included.
## Comparisons
- [Your Brand vs HubSpot for early-stage teams](https://yourbrand.com/compare/best-crm-for-b2b-startups): when each is the right call.
## Trust
- [Customer stories](https://yourbrand.com/customers): outcomes from startups now scaling on Your Brand.
```
## Priorities (from the AEO action plan)
1. Publish a guide: the best CRM for B2B startups, ChatGPT, Gemini and Perplexity all answer “best CRM for a B2B startup” with HubSpot and Pipedrive, never you. A clear, dated guide that answers that exact question, with a comparison buyers can scan, is what wins the spot back. (impact high, effort medium)
2. Add structured data so AI can read your facts, AI is building its answer from G2 and Reddit, not your site. FAQ + Organization schema states your pricing, integrations and ideal customer in a format these engines extract directly. (impact high, effort low)
3. Let AI crawlers reach your site, If GPTBot and PerplexityBot can’t crawl you, none of the above gets read. A clean sitemap, an AI-allowing robots.txt and an llms.txt point them at the pages that answer buyer questions. (impact medium, effort low)
When you're done, list the files you created or changed, and flag anything that needs my input, real copy, images, or facts only Your Brand can confirm.Sized to your brand
The plan is calibrated to how well-known you are. A challenger gets niche comparison pages it can credibly win. An established name gets authoritative buying guides and richer product pages, never a “vs-rival” page that would only legitimise the competitor. The fix that’s right for a household brand is the wrong one for a startup, and vice versa.
See your own report, free, in seconds.
Scan your site free →Under the hood
More than a number.
The score is the headline. Underneath it is the detail you actually act on.
Every engine buyers ask
ChatGPT, Claude, Gemini and Perplexity, with each question sampled three times, so one off answer can never swing your score.
See what AI reads
Citation intelligence shows the exact sources AI built its answer from (a review site, a Reddit thread, a rival's blog), so you know what format of content wins the cite.
The whole buyer journey
Visibility broken down by stage (awareness, comparison, decision), so you see exactly where in the funnel rivals take the recommendation.
Proof it worked
Weekly re-scans track the score moving from invisible to recommended, so you watch the fixes land instead of hoping they did.
The fix loop, without the enterprise price tag.
Profound raised $96M at a $1B valuation, selling to the Fortune 500. The platforms that actually ship fixes are mostly demo-gated and enterprise-priced, from a few hundred dollars a month into four and five figures. MentionLM gives a founder the same loop (see the gap, get the fixes), self-serve, before lunch.
Pricing
One recovered customer pays for the year.
Prices in USD · cancel anytime · 2 months free annually
Pulse
Know exactly where you stand.
- 1 tracked brand
- ChatGPT + Perplexity, re-scanned weekly
- 8 tracked queries, sampled 3× · 5 competitors
- Visibility score + competitor leaderboard
- Pipeline-at-risk estimate
- Email alerts when you slip
Growth
Win the answer back.
- All 4 engines, re-scanned weekly
- 15 tracked queries, sampled 3× · 20 competitors tracked
- Tailored AEO action plan, calibrated to your brand
- Ready-to-paste assets (schema, llms.txt, content briefs) + one-paste setup prompt
- Re-scan proof + Slack & API
Command
Own the category.
- 25 tracked queries, sampled 3× · 50 competitors tracked
- Done-for-you fixes, we implement them on your site
- Competitor-overtake alerts
- White-label client reports
- Dedicated AEO strategist
FAQ
The honest answers.
The questions a careful buyer actually asks, answered straight.
How is this different from a monitoring dashboard?
Most AI-visibility tools stop at a score and leave the work to you. MentionLM hands you the tailored action plan and the ready-to-paste assets (schema, llms.txt, content briefs) to win the answer back, then re-scans to show the score move. The fix is the product, not the dashboard.
Why does your result differ from my own ChatGPT check?
Two reasons. Your ChatGPT is personalised by your Memory and past chats, and any single AI answer is non-deterministic: ask twice, get two answers. MentionLM asks with no personal history and samples each question up to three times per engine, so you see the consensus a real buyer gets, not one lucky or unlucky reply.
How is the score calculated?
Live API calls to ChatGPT, Claude, Gemini and Perplexity with web search on. We ask real buyer questions, read the actual list of brands each AI recommends and the sources it cited, and aggregate share-of-voice across every run. If an engine is down we tell you; we never fabricate a result for an engine we couldn't reach.
Is the “pipeline at risk” figure real?
It's a modelled estimate, and we always label it as one: a way to size the demand flowing to rivals while you're absent, not a measured revenue figure. The visibility data behind it is real and measured.
Do I need a developer to ship the fixes?
Rarely. The schema and llms.txt are paste-ready, and every plan comes with a one-paste setup prompt for Cursor or Claude Code that scaffolds the rest. Most wins are a single page and a snippet.
How fast do the fixes work?
Retrieval engines (Perplexity, and the web-search paths of ChatGPT and Gemini) pick up new pages within days of crawling them. A model's built-in memory only shifts when it's retrained, so some gains are quick and some build over time. We re-scan weekly so you can watch it move.
Which engines do you cover, and do I need a sales call?
The free scan checks ChatGPT. Paid plans scan ChatGPT, Claude, Gemini and Perplexity, the four answer engines buyers actually use, with more on the roadmap. No call, no demo: you're scanning in seconds and self-serve from $49/mo, cancel anytime.