Written by: Content & GEO Research
Fastlook TeamFact checked
Most brands find out they are losing AI answers only after a buyer mentions a rival. To compare my AI visibility against competitors, you need the same prompts, run several times, scored on the same metrics for every brand. This guide sets out that benchmark, the numbers to track, and where to act first.
Quick answer
Run a fixed set of 50 to 100 buyer prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews, several times each. Record mention rate, share of voice, citation rate and position for your brand and each competitor. Compare the figures per engine, and re-run the set on a regular cadence.
- Topic
- compare my ai visibility against competitors
- Last updated
- Nov 14, 2026
- Read time
- 8 min
Compare My Ai Visibility Against Competitors: key Takeaways
- Start with four numbers that separate a brand that is cited from one that is merely present.
- Your AI competitors are not always the firms you fight in search.
- A usable benchmark runs 50 to 100 prompts, according to Hikoo's guide.
- A single AI answer is a sample of one.
- Competitors win where they are named in AI answers and your brand is absent. For instance, according to Google (cited in CampaignCreators' HubSpot AEO benchmarking guide), AI Overviews reach more than 1.5 billion people every month.
- 1Compare My Ai Visibility Against Competitors: key Takeaways
- 2Which metrics should you compare in AI answers?
- 3How do you identify your real AI search competitors?
- 4How many prompts should a reliable benchmark use?
- 5Why do single-run answers mislead?
- 6Where do competitors win and you do not?
Which metrics should you compare in AI answers?
Start with four numbers that separate a brand that is cited from one that is merely present. Mention rate is the share of tested prompts in which your brand is named at all. Share of voice is your mentions divided by all brand mentions in the same answer set. Citation rate tracks how often an engine links to a page you own. Position when named and sentiment show whether you lead the list or appear as an afterthought. According to iPullRank's 2026 framework, as echoed by Hikoo, the core comparative set is AI Share of Voice, Mention Rate, Citation Rate and Source Overlap. Trackbase adds Visibility Score and sentiment to the list (Trackbase). Compare all of them against the same competitor set.
| Metric | What it answers | How to read it |
|---|---|---|
| Mention Rate | Are we named at all? | Share of prompts naming the brand |
| AI Share of Voice | Who dominates the answer set? | Our mentions divided by all brand mentions |
| Citation Rate | Does the engine link to our pages? | Share of answers citing our domain |
| Source Overlap | Are we cited from the same sources as rivals? | Common sources divided by competitor sources, times 100 |
Source Overlap follows the formula given in Hikoo's guide. According to Hikoo's guide, appearing in 30% of relevant prompts can be a win or a disaster depending on competitors' rates: if the top competitor sits at 70% the brand is losing, and at 10% it dominates.
compare my ai visibility against competitors — by the numbers
How do you identify your real AI search competitors?
Your AI competitors are not always the firms you fight in search. Omnibound recommends covering four competitor categories:
- Direct competitors
- Indirect substitutes
- Informational publishers and analysts
- Ecosystem authorities such as review sites
For example, a buyer researching a CRM may be shown a comparison article, a Reddit thread and a review aggregator before seeing any vendor. Those third-party sources often shape the answer. According to Analyze AI, a competitor can win the AI answer while ranking lower in Google, so search rank alone will mislead you (Analyze AI). Build your competitor set from the answers you actually receive, then keep the names that co-occur with yours.
How many prompts should a reliable benchmark use?
A usable benchmark runs 50 to 100 prompts, according to Hikoo's guide. Spread those prompts across five archetypes:
- Discovery
- Comparison
- Alternative
- Use-case and transactional
Skip purely branded prompts, because they flatter every brand equally and reveal little about competitive position. Omnibound suggests distributing benchmark prompts across four buyer stages: awareness, comparison, problem-aware and purchase-intent (Omnibound). A purchase-intent prompt, such as asking for the best tool for a given team size, is usually worth more to your pipeline than a broad awareness query, so weight the results accordingly. Keep the prompt list fixed between runs. That way, changes in results reflect the market rather than your edits to the prompts. According to the iPullRank 2026 framework (echoed by Aleyda Solis, as cited by Hikoo), the four core comparative AI visibility metrics are AI Share of Voice, Mention Rate, Citation Rate, and Source Overlap.
Why do single-run answers mislead?
A single AI answer is a sample of one. According to Asky, a University of Toronto preprint found that ChatGPT's cited pages overlapped by only 15% across same-day API replays of one question. Answers are generated fresh and vary with prompt wording, model and the freshest sources available, as Trackbase notes.
So run every prompt several times, then average the results. Treat small gaps between brands as noise until repeated sampling confirms them. Recording the timestamp and engine for each run lets you separate real shifts in AI visibility from model updates.
Where do competitors win and you do not?
Competitors win where they are named in AI answers and your brand is absent. The most useful output is therefore a gap list of those prompts. Filter your results to find them, then group the gaps by topic and by buyer stage. Hikoo's guide frames the stakes clearly: appearing in 30% of relevant prompts is a win if the top competitor sits at 10%, and a loss if it sits at 70% (Hikoo). Read your own rate only against competitor rates. Then examine the sources behind each winning answer:
- Identify the page cited for each rival answer.
- Check whether that page is a comparison article you have never appeared in.
- If so, that article is the gap, not your product page.
Which engines should you track separately?
Track engines separately, because their citation behaviour differs. Asky reports that Statcounter put ChatGPT at 80.48% of AI chatbot market share in September 2026, with Gemini at 10.91% and Perplexity at 5.85%. Market share is a reason to weight engines, not a reason to ignore small ones: a buyer in a niche may rely on Perplexity for research.
Google AI Overviews reach more than 1.5 billion people monthly, according to CampaignCreators. Report each engine on its own row so a strong ChatGPT score cannot hide a weak Perplexity one.
Which third-party sources drive competitor citations?
Competitor citations usually trace back to a small set of third-party pages. Compute Source Overlap to see how much of that citation pool you share with each rival. The formula is common sources divided by competitor sources, multiplied by 100 (Hikoo). Low overlap with a strong rival means that rival has earned placements you lack.
Close the gap by pitching or updating the pages engines already cite for your category. You can also publish owned, answer-first pages that match the comparison and use-case prompts you lost. Fastlook's Citation Analytics reports where your brand appears across major engines, which helps locate those pages.
How often should you refresh the comparison?
Refresh the benchmark on a fixed cadence, and re-run it sooner after a major model update or a competitor launch. Because answers shift between runs, a one-time audit goes stale quickly. Fastlook's Citation Analytics tracks citations in real time across major engines.
Brand Memory tracks citations across 6 engines, so monitoring can run continuously rather than as a quarterly project. Pair this tracking with AI Feed, which pipes live signals to crawlers on Grow and Scale plans, to keep your pages fresh for the engines you measure.
Related guides
Frequently asked questions
How do I monitor AI search visibility against competitors?
Run a fixed set of 50 to 100 buyer prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews, several times each. Record mention rate, share of voice, citation rate and position for your brand and each competitor. Compare the figures per engine, and re-run the set on a regular cadence.
What is a good AI share of voice?
A good AI share of voice is measured against rivals, not in isolation. According to Hikoo's guide, appearing in 30% of prompts is strong when the top competitor sits at 10%. However, the same rate is weak when that competitor sits at 70%. Set your target from the competitor figures in your own benchmark.
How do I measure share of AI citations against competitors?
Count how often each engine links to each brand's domain across the same prompt set, then divide your citations by total citations. Add Source Overlap to see which third-party pages cite you and rivals together. According to Hikoo, Source Overlap is common sources divided by competitor sources, multiplied by 100.
Why do AI answers change between runs?
AI answers are generated fresh, so wording, model version and the freshest sources all change the result. According to Asky, a University of Toronto preprint showed ChatGPT's cited pages overlapped by only 15% in same-day replays. Run each prompt several times and average the results before drawing conclusions.
Which AI engines should I benchmark?
Benchmark ChatGPT, Perplexity, Gemini and Google AI Overviews as separate rows. Asky, citing Statcounter, **reports ChatGPT at 80.48% of AI chatbot market share in September 2026**, with Gemini at 10.91% and Perplexity at 5.85%. Weight engines by how your buyers research, not by share alone.
How do I know which sources AI models use?
Log the URLs cited in each answer, then group them by domain and by topic. Compare that list with the sources cited for your competitors. Source Overlap shows how much you share, and the uncited pages reveal where rivals earned placements you lack. Citation Analytics surfaces these source patterns.
How can I improve my visibility in AI-generated search results?
You improve AI visibility by closing the gap prompt by prompt. Publish answer-first pages for the comparison and use-case questions you lose. However, earning placements on the third-party pages engines already cite is equally important. Keep content fresh as well. Fastlook's Page Engine publishes AEO-optimised pages to WordPress, Webflow or Shopify, and AI Feed keeps them current for crawlers.
What is the difference between AEO and GEO?
AEO, or Answer Engine Optimization, and GEO, or Generative Engine Optimization, describe the same goal: getting cited in AI-generated answers. The terms are used interchangeably across the industry. However, the practical work is the same. It involves structured, extractable pages, comparative benchmarking and steady citation tracking.
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