Your MentionShare score measures how often AI engines recommend your brand. Here is exactly how to move it from zero to 40%+ with specific, actionable tactics.
[MentionShare](/features/mentionshare) is the percentage of AI-generated answers that mention your brand, across a defined set of buyer-intent prompts. If you run 10 prompts across ChatGPT and Perplexity, and your brand appears in 4 of the 20 total responses, your MentionShare is 20%.
Benchmark ranges:
Most B2B companies start between 0% and 15%. Here is exactly how to improve.
Before fixing the problem, understand what is causing it:
No FAQ schema on key pages — AI engines are specifically trained to extract Q&A content. Without FAQPage schema, your pages are structured for humans, not for AI parsing.
No entity clarity — AI engines need to know your brand as a distinct entity. Without Organization schema and consistent sameAs links to G2, LinkedIn, and Crunchbase, AI engines may not reliably identify your brand or associate it with your category.
Content formatted for reading, not extraction — Most SaaS product pages bury the key answer after a headline and two paragraphs of brand story. AI engines prefer content that leads with the answer.
Competitors did the structural work — When AI engines consistently recommend your competitor, it is because that competitor's content is more extractable and more specifically matched to the buyer query. [Competitor Intelligence](/features/competitor-intelligence) shows you exactly what they built that you have not.
This is the single highest-impact change you can make. Add [FAQ blocks with FAQPage JSON-LD schema](/blog/faq-blocks-ai-citation) to your homepage, product pages, and use-case landing pages.
Write questions in the exact language your buyers use in AI prompts:
Implement this first, before anything else. Teams that add FAQPage schema to 5–10 pages typically see their first measurable MentionShare improvement within 4–6 weeks.
AI engines extract the first clear answer statement they find. Restructure your product page opening to lead directly with the answer:
Before: "In today's competitive market, teams need better ways to manage..."
After: "[Product] is an HR onboarding platform that automates new hire paperwork, e-signatures, and task lists for teams of 50–500 people."
This change alone — with no schema or content additions — has measurably improved MentionShare for dozens of TrueCite customers. It takes less than an hour per page.
AI engines need to recognize your brand as a real, verified entity. Create and maintain complete profiles on:
Then add Organization schema to your homepage with sameAs links to all of these profiles. This entity consolidation is what makes AI engines confident enough to recommend you by name.
Generic product pages ("The best tool for your team") are rarely cited. Specific use-case pages ("HR onboarding software for remote-first engineering teams") earn citations because they directly match the specific queries buyers submit to AI engines.
Create one page per major use case your product serves. Structure: headline matches the query, direct answer in paragraph one, 5-8 FAQs in FAQPage schema covering that specific use case.
Perplexity and Google AI Overviews heavily favor citations from authoritative third-party domains — G2, Capterra, TechCrunch, industry publications. Being mentioned by these domains is one of the strongest AI citation signals available.
Priority actions: run a G2 review campaign targeting 20+ reviews, pursue one press mention in a relevant industry publication, engage with relevant communities (Reddit, LinkedIn) where AI engines source conversational recommendations.
For every prompt where AI engines skip your brand, the [Fix Generator](/features/fix-generator) produces targeted FAQ blocks and schema designed for that specific query. This closes the loop between measurement (identifying missed prompts) and optimization (fixing them with the right content).
Run your scan, identify your three most valuable missed prompts, and generate fixes for each. Publish within a week and re-test after 4 weeks.
You do not need to guess what content to build. [Competitor Intelligence](/features/competitor-intelligence) shows you which competitors AI engines recommend for each of your target prompts — and their gap analysis shows you exactly which AEO signals they have that you are missing.
Common gap findings: competitor has FAQPage schema on 12 pages, you have it on 2. Competitor has 45 G2 reviews, you have 8. Competitor has a dedicated /faq page, you do not. All of these are fixable.
MentionShare improvement is cumulative, not overnight. Set up weekly scheduled scans and track your trend over 30 and 90 days. A rising trend line — even from 5% to 8% to 12% — confirms your strategy is working and should be continued.
Do not optimize, wait six months, and measure. Optimize, measure in 4 weeks, adjust, optimize again. The teams with the highest MentionShare scores are iterating fast, not waiting for a single big push to show results.
Weeks 1–2: Run baseline scan, identify top 5 missed prompts with highest commercial value.
Weeks 3–4: Publish FAQ fixes and add FAQPage + Organization schema to top missed prompts. This is the highest-impact sprint.
Month 2: First measurable MentionShare improvement appears (typically 5–15% gain from baseline). G2 review campaign underway.
Month 3+: Compound improvements as AI engines recrawl and new training cycles incorporate your content. MentionShare gains accelerate as entity recognition improves.
Most B2B companies reach 30–40% MentionShare within 90 days of consistent execution. Dominant positions (60%+) take 6 months in competitive categories.
[Start measuring your MentionShare today](/sign-up) — your first scan is free and your baseline score appears in 60 seconds.