Hashmeta AI

Type what the business does, upload brand assets, and the AI CMS generates a site with headings, metadata and schema already in place. Every site publishes an llms.txt file at the root, which gives large language models a short map of what the site covers. You can rewrite any section afterwards in plain language, and the change applies to the live page.

The audit crawls your published pages and can compare them against competitor URLs you name. Findings are sorted into structure, content gap, technical and competitor issues, each with a severity score and a suggested fix. The fix is the part that matters: approve it and the CMS applies the change to the page, so the report doesn't sit unread in a shared drive.

You add the questions customers actually type into AI assistants. A "check now" action sends those prompts to live AI search engines and records whether your brand was cited, which URL was used, and the excerpt that was pulled. Over a few weeks you get a citation rate per question, which beats a one-off screenshot.

When someone submits a form, the CRM writes a personalised reply and sends it by email or WhatsApp within minutes, then keeps the conversation attached to the contact record. Every reply is logged, so a handover to a human doesn't lose the thread or the context.

Instead of buying a stale list, you describe the kind of business you want in plain language and Lead Search returns matches from Google Maps with rating, website, email and whether they run Google Ads. That ads flag is a rough but useful signal for whether a business spends on marketing.

Website leads and prospected contacts land in the same customer list, with drag-and-drop stages and meeting outcomes. Outreach goes out by segment or tag, and results are tracked per campaign rather than per inbox. For a small sales team, that single view is the main reason to use the CRM at all.