The reviewed pages have a working technical base plus several clear, fixable issues.
01 · Starting point
A clear view
of the sample.
The scores summarize what was measured on 24 selected pages. They help prioritize the work; they are not grades for every URL or forecasts of traffic and sales.
Important facts are not always stated in a short, complete form that customers and AI tools can easily understand.
This was a strategic sample, not a review of the entire site. A repeated template problem may affect more pages, but a full crawl is required before treating it as sitewide.
✓What is working
- All 24 reviewed pages responded.
- Most sampled content was available in the initial HTML.
- Every reviewed page had a unique title and canonical tag.
- The XML sitemap was valid and the tested crawler profiles were not blocked.
!What needs attention
- Page clarity: headings and search summaries are missing on many reviewed pages.
- Business data: some structured data is unreadable and the restaurant entity is incomplete.
- Accessibility: image uses need individual review and the correct text treatment.
- AI clarity: important facts need shorter, self-contained answers.
02 · Priority opportunities
What we found.
Why it matters.
Four patterns explain most of the opportunity in the reviewed sample. Each one can be translated into a practical task.
Pages need clearer labels
Eighteen of the 24 pages also lacked a brand-written search summary.
Simple example: the menu page should clearly introduce itself as Tahini's menu and briefly explain what customers can find there. Large decorative text is not always the same as a real page heading.
Search and AI business data needs repair
The initial HTML also lacked a complete Restaurant and Location description.
Simple example: this information works like a digital business card. The brand, each location, address, hours and telephone should be connected clearly instead of making a search system assemble the facts itself.
Images need an accessibility review
This is an inventory signal, not 534 confirmed unique images that all need written descriptions.
Simple example: a food photo may need “Chicken shawarma wrap with garlic sauce and pickles.” A decorative background should be marked as decorative. Each use needs review; the same text should not be copied everywhere.
Important facts need answer-ready wording
Reviewed copy did not consistently state the main fact first or work as a short, self-contained answer.
Simple example: “Tahini's is a Mediterranean fast-casual restaurant serving shawarma, bowls and catering” explains the business more clearly than a slogan alone. This helps people and AI tools understand the page; it does not guarantee a citation.
03 · Action plan
A practical
three-phase path.
Start with the clearest repairs, add approved business information, then validate the finished work and measure again.
Fix the clearest technical issues
Add one clear heading and a useful search summary to priority pages, then repair the structured-data blocks that could not be read.
Example: give the menu page a clear “Tahini's Menu” heading and summary, repair its hidden data and test the final page again.
Strengthen restaurant, location and content signals
Connect approved facts to the correct locations, improve key answers and review important images for accessibility.
Example: connect the London location to its own approved address, telephone and hours rather than relying on one generic record for every restaurant.
Validate and measure
Recheck each agreed change, document what passed and repeat the same AI visibility test after 60 days.
Example: compare the same HubSpot test before and after implementation. Movement shows a change in that tool; it does not by itself prove sales impact.
04 · AI visibility baseline
How Tahini's appears
in AI search today.
HubSpot's AEO Grader compared how OpenAI, Perplexity and Gemini represented Tahini's. The result is a useful snapshot: the brand is understood, but visibility and market presence vary considerably by provider.
The three-provider average is about 58 out of 100.
Calculation: (49 + 68 + 56) ÷ 3 = 57.7. This equal-weight average makes the three results easier to summarize in conversation. It is our presentation summary, not an additional official score issued by HubSpot.
OpenAI
Developing visibility. The report recognized the brand, but found limited market presence and share of voice.
Perplexity
The strongest overall result. Recognition and presence were higher here than in the other two providers.
Gemini
Developing visibility. Sentiment was strong, while recognition and market presence remained limited.
What AI already understands
The report consistently associates Tahini's with Mediterranean fast-casual food, shawarma, bowls, catering, fusion flavours and North American expansion.
The strongest signal: positive perception
Brand sentiment scored between 29 and 33 out of 40 across the three providers. When the brand appears, it is generally described positively.
The clearest gap: share of voice
Share of voice scored 1/10, 0/10 and 1/10. In simple terms, Tahini's is described reasonably well when found, but it is not appearing often enough across the market questions tested.
Why providers disagree
OpenAI, Perplexity and Gemini use different sources and knowledge windows. A strong result in one provider does not guarantee the same representation in another.
Which brands appear beside Tahini's?
HubSpot produced a separate market-position chart for each AI provider. The percentages describe that provider's test results, not restaurant sales or real-world market share, so each column should be read independently.
in this chart
Examples shown nearby: Pita Pit 16%, Freshii 14% and CAVA 13%.
in this chart
Examples shown nearby: Al Fresco 14.5%, Cafe Alondra 12% and Zaytouna 9%.
in this chart
Examples shown nearby: Osmow's 22%, CAVA 18.5% and Paramount 14%.